{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Film Script Analysis -- Case Study 13 -- Star Wars The Empire Strikes Back\n",
"\n",
"\n",
"\n",
"\n",
"-----20 Movies Script Visualizations will be done------This could be done for the 1000+ movie script I segmented--- I just randomly chose 20 movie scripts from the segmented movies....\n",
"\n",
"\n",
"\n",
"#### The aim of this project is to provide detailed insights into different movies analyzed focusing on the characters, their dialogues, scene locations, emotional and sentiment analysis of the whole movie and the individual characters, character's interaction with one another and finally gender distribution in the each movie analyzed.\n",
"\n",
"\n",
"### To execute this project, the following objectives were done:\n",
"\n",
"\n",
"1. Web scraping of the movie scripts (Over 1000+ movies were scraped from imsdb website)\n",
"\n",
"\n",
"2. Movies segmentation into Scenes --> **Scene Location, Scene Action/Description, Scene Dialogues, Scene Characters (All the movies scraped were segmented except those that do not follow the \"Screenplay format i.e. INT / EXT)\"**\n",
"\n",
"\n",
"3. Character extraction and appearances plot ---> Here, characters were plotted based on how many times they appeared and spoke in each scene and across the movie.\n",
"\n",
"\n",
"4. Character Interaction Mapping --> We mapped out the connection between all the characters in the movie and also the interaction between the Top 10 characters in the movie.\n",
"\n",
"\n",
"5. Here, we looked at the **Most mentioned character based on the Scene dialogues and also the characters each character mention the most in their conversation.**\n",
"\n",
"\n",
"6. Similar to Number 5., Here looked at who a specific character talks with the most in the Movie.\n",
"\n",
"\n",
"7. **Emotional and Sentiment Analysis across the whole movie and for each individual character**, However for this project we limited it to only the Top 10 characters. ---> This gives us the character's emotion when he/she appears in the movie.\n",
"\n",
"\n",
"8. Additional Scene Informations --> Exact Scene Locations, Scenes with dialogs and no dialogs, Scenes that occurred during the Day or in the Night, Scenes location based on Outdoor or Indoor appearances.\n",
"\n",
"\n",
"9. Gender Distribution in the movie\n",
"\n",
"\n",
"***(python Code) Modules for this project: imsbd_moviescript_scraper_AND_Scene_Segmentation.py, dialogue_appearance.py, characters_extract.py, xter_interaction.py, characters_mt.py, emotions.py, movie_info.py, gend_distribution_plot.py***\n",
"\n",
"\n",
"\n",
"\n",
"Tools: Python libraries"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" <script type=\"text/javascript\">\n",
" window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
" if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
" if (typeof require !== 'undefined') {\n",
" require.undef(\"plotly\");\n",
" requirejs.config({\n",
" paths: {\n",
" 'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
" }\n",
" });\n",
" require(['plotly'], function(Plotly) {\n",
" window._Plotly = Plotly;\n",
" });\n",
" }\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" <script type=\"text/javascript\">\n",
" window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
" if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
" if (typeof require !== 'undefined') {\n",
" require.undef(\"plotly\");\n",
" requirejs.config({\n",
" paths: {\n",
" 'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
" }\n",
" });\n",
" require(['plotly'], function(Plotly) {\n",
" window._Plotly = Plotly;\n",
" });\n",
" }\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" <script type=\"text/javascript\">\n",
" window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
" if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
" if (typeof require !== 'undefined') {\n",
" require.undef(\"plotly\");\n",
" requirejs.config({\n",
" paths: {\n",
" 'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
" }\n",
" });\n",
" require(['plotly'], function(Plotly) {\n",
" window._Plotly = Plotly;\n",
" });\n",
" }\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" <script type=\"text/javascript\">\n",
" window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
" if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
" if (typeof require !== 'undefined') {\n",
" require.undef(\"plotly\");\n",
" requirejs.config({\n",
" paths: {\n",
" 'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
" }\n",
" });\n",
" require(['plotly'], function(Plotly) {\n",
" window._Plotly = Plotly;\n",
" });\n",
" }\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" <script type=\"text/javascript\">\n",
" window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
" if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
" if (typeof require !== 'undefined') {\n",
" require.undef(\"plotly\");\n",
" requirejs.config({\n",
" paths: {\n",
" 'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
" }\n",
" });\n",
" require(['plotly'], function(Plotly) {\n",
" window._Plotly = Plotly;\n",
" });\n",
" }\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" <script type=\"text/javascript\">\n",
" window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
" if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
" if (typeof require !== 'undefined') {\n",
" require.undef(\"plotly\");\n",
" requirejs.config({\n",
" paths: {\n",
" 'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
" }\n",
" });\n",
" require(['plotly'], function(Plotly) {\n",
" window._Plotly = Plotly;\n",
" });\n",
" }\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#Import all the necessary python modules needed for this analysis\n",
"\n",
"from characters_extract import extract_characters\n",
"from dialogue_appearance import scene_dialogues\n",
"from xter_interaction import interaction\n",
"from emotions import emotions_sentiments\n",
"from characters_mt import character_mentions\n",
"from gend_distribution_plot import gender\n",
"from movie_info import scene_info_plots"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" <script type=\"text/javascript\">\n",
" window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
" if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
" if (typeof require !== 'undefined') {\n",
" require.undef(\"plotly\");\n",
" requirejs.config({\n",
" paths: {\n",
" 'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
" }\n",
" });\n",
" require(['plotly'], function(Plotly) {\n",
" window._Plotly = Plotly;\n",
" });\n",
" }\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import glob\n",
"import random\n",
"import secrets\n",
"import re\n",
"\n",
"import cufflinks as cf\n",
"import networkx as net\n",
"import itertools\n",
"# plotly\n",
"from plotly.subplots import make_subplots\n",
"import plotly.graph_objects as go\n",
"import pandas as pd\n",
"import chart_studio.plotly as py\n",
"import plotly.graph_objs as go\n",
"from plotly import tools\n",
"from plotly.offline import init_notebook_mode, iplot\n",
"init_notebook_mode(connected=True)\n",
"import plotly.express as px"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1. Load in the Segmented Movie scripts stored in .pkl format"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"films = []\n",
"for f in glob.glob('Films/*'):\n",
" film_name = re.sub(r'.pkl|Films\\\\', '', f)\n",
" films.append(film_name)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of films available for Analysis: 1037 Movies\n"
]
}
],
"source": [
"#Number of Films we segmented into scenes, scene_actions, characters, and characters dialogue\n",
"print('Number of films available for Analysis: ', len(films), ' Movies')"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"#Random 10 films from the 1000 films scraped from the internet\n",
"films_list = random.sample(films, 10)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Star-Wars-The-Empire-Strikes-Back\n"
]
}
],
"source": [
"#Randomly select film to analyze\n",
"film = secrets.choice(films_list)\n",
"print(film)"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"##load the scenes, dialogues, characters into dataframe\n",
"\n",
"df_film = pd.read_pickle('Films/' + film + '.pkl')\n",
"df_film_dialogue = pd.read_pickle('Dialogues/' + film + '.pkl')\n",
"df_film_characters = pd.read_pickle('Characters/' + film + '.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Scene_Names</th>\n",
" <th>Scene_action</th>\n",
" <th>Scene_Characters</th>\n",
" <th>Scene_Dialogue</th>\n",
" <th>Contents</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>180</th>\n",
" <td>EXT. SPACE IMPERIAL STAR DESTROYER</td>\n",
" <td>As the Avenger Star Destroyer moves slowly int...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>As the Avenger Star Destroyer moves slowly in...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>EXT. HOTH METEORITE CRATER SNOW PLAIN DAY</td>\n",
" <td>A weird mechanical sound rises above the whini...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>A weird mechanical sound rises above the whin...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>138</th>\n",
" <td>INT. GIANT ASTEROID CRATER</td>\n",
" <td>The Falcon races down into the crater. The wa...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>The Falcon races down into the crater. The w...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100</th>\n",
" <td>EXT. HOTH SNOW TRENCH</td>\n",
" <td>Continuing their retreat, the Rebels see the w...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Continuing their retreat, the Rebels see the ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>165</th>\n",
" <td>INT. DAGOBAH TREE CAVE</td>\n",
" <td>Luke moves into the almost total darkness of t...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Luke moves into the almost total darkness of ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>175</th>\n",
" <td>EXT. DAGOBAH BOG DAY</td>\n",
" <td>Luke's face is upsidedown and showing enormous...</td>\n",
" <td>[YODA, YODA, YODA, LUKE, YODA, LUKE, YODA, LUK...</td>\n",
" <td>[Use the Force. Yes... Yoda taps Luke's leg. ...</td>\n",
" <td>Luke's face is upsidedown and showing enormou...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>INT. REBEL BASE MAIN HANGAR DECK</td>\n",
" <td>Pilots, gunners, and troopers hurry to their s...</td>\n",
" <td>[ANNOUNCER, DACK, LUKE, DACK, LUKE]</td>\n",
" <td>[The first transport is away. Everyone cheers ...</td>\n",
" <td>Pilots, gunners, and troopers hurry to their ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>INT. HOTH REBEL BASE ANOTHER ICE CORRIDOR</td>\n",
" <td>A familiar stream of beeps and whistles herald...</td>\n",
" <td>[THREEPIO, THREEPIO]</td>\n",
" <td>[Don't try to blame me. I didn't ask you to ...</td>\n",
" <td>A familiar stream of beeps and whistles heral...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>INT. LUKE'S SNOWSPEEDER, ROGUE LEADER COCKPIT</td>\n",
" <td>Luke looks back at the walker as it grows smal...</td>\n",
" <td>[LUKE, LUKE, DACK, LUKE]</td>\n",
" <td>[That armor's too strong for blasters. On the...</td>\n",
" <td>Luke looks back at the walker as it grows sma...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>105</th>\n",
" <td>INT. HOTH REBEL BASE ICE CORRIDORS</td>\n",
" <td>With Threepio lagging behind, Han and Leia rac...</td>\n",
" <td>[HAN, THREEPIO]</td>\n",
" <td>[Transport, this is Solo. Better take off I...</td>\n",
" <td>With Threepio lagging behind, Han and Leia ra...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Scene_Names \\\n",
"180 EXT. SPACE IMPERIAL STAR DESTROYER \n",
"1 EXT. HOTH METEORITE CRATER SNOW PLAIN DAY \n",
"138 INT. GIANT ASTEROID CRATER \n",
"100 EXT. HOTH SNOW TRENCH \n",
"165 INT. DAGOBAH TREE CAVE \n",
"175 EXT. DAGOBAH BOG DAY \n",
"45 INT. REBEL BASE MAIN HANGAR DECK \n",
"7 INT. HOTH REBEL BASE ANOTHER ICE CORRIDOR \n",
"59 INT. LUKE'S SNOWSPEEDER, ROGUE LEADER COCKPIT \n",
"105 INT. HOTH REBEL BASE ICE CORRIDORS \n",
"\n",
" Scene_action \\\n",
"180 As the Avenger Star Destroyer moves slowly int... \n",
"1 A weird mechanical sound rises above the whini... \n",
"138 The Falcon races down into the crater. The wa... \n",
"100 Continuing their retreat, the Rebels see the w... \n",
"165 Luke moves into the almost total darkness of t... \n",
"175 Luke's face is upsidedown and showing enormous... \n",
"45 Pilots, gunners, and troopers hurry to their s... \n",
"7 A familiar stream of beeps and whistles herald... \n",
"59 Luke looks back at the walker as it grows smal... \n",
"105 With Threepio lagging behind, Han and Leia rac... \n",
"\n",
" Scene_Characters \\\n",
"180 None \n",
"1 None \n",
"138 None \n",
"100 None \n",
"165 None \n",
"175 [YODA, YODA, YODA, LUKE, YODA, LUKE, YODA, LUK... \n",
"45 [ANNOUNCER, DACK, LUKE, DACK, LUKE] \n",
"7 [THREEPIO, THREEPIO] \n",
"59 [LUKE, LUKE, DACK, LUKE] \n",
"105 [HAN, THREEPIO] \n",
"\n",
" Scene_Dialogue \\\n",
"180 None \n",
"1 None \n",
"138 None \n",
"100 None \n",
"165 None \n",
"175 [Use the Force. Yes... Yoda taps Luke's leg. ... \n",
"45 [The first transport is away. Everyone cheers ... \n",
"7 [Don't try to blame me. I didn't ask you to ... \n",
"59 [That armor's too strong for blasters. On the... \n",
"105 [Transport, this is Solo. Better take off I... \n",
"\n",
" Contents \n",
"180 As the Avenger Star Destroyer moves slowly in... \n",
"1 A weird mechanical sound rises above the whin... \n",
"138 The Falcon races down into the crater. The w... \n",
"100 Continuing their retreat, the Rebels see the ... \n",
"165 Luke moves into the almost total darkness of ... \n",
"175 Luke's face is upsidedown and showing enormou... \n",
"45 Pilots, gunners, and troopers hurry to their ... \n",
"7 A familiar stream of beeps and whistles heral... \n",
"59 Luke looks back at the walker as it grows sma... \n",
"105 With Threepio lagging behind, Han and Leia ra... "
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#Randomly generate 10 scenes from the movie script\n",
"df_film.sample(10)"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(277, 5)"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#check how many scenes the movie script has\n",
"df_film.shape"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>characters</th>\n",
" <th>Character_dialogue</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>655</th>\n",
" <td>HAN</td>\n",
" <td>Lando's got people who can fix him.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>358</th>\n",
" <td>LUKE</td>\n",
" <td>Put that down. Hey That's my dinner The cre...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>LEIA</td>\n",
" <td>I had just as soon kiss a Wookiee.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>723</th>\n",
" <td>HAN</td>\n",
" <td>Save your strength. There will be another ti...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>336</th>\n",
" <td>THREEPIO</td>\n",
" <td>Sir, it's quite possible this asteroid is not...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>625</th>\n",
" <td>BEN</td>\n",
" <td>Even Yoda cannot see their fate.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>665</th>\n",
" <td>LANDO</td>\n",
" <td>So you see, since we are a small operation, w...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>816</th>\n",
" <td>THREEPIO</td>\n",
" <td>We can't? How would you know the hyperdrive ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>456</th>\n",
" <td>HAN</td>\n",
" <td>There's an awful lot of moisture in here.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>771</th>\n",
" <td>THREEPIO</td>\n",
" <td>I never doubted you for a second. Wonderful Ar...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" characters Character_dialogue\n",
"655 HAN Lando's got people who can fix him.\n",
"358 LUKE Put that down. Hey That's my dinner The cre...\n",
"38 LEIA I had just as soon kiss a Wookiee.\n",
"723 HAN Save your strength. There will be another ti...\n",
"336 THREEPIO Sir, it's quite possible this asteroid is not...\n",
"625 BEN Even Yoda cannot see their fate.\n",
"665 LANDO So you see, since we are a small operation, w...\n",
"816 THREEPIO We can't? How would you know the hyperdrive ...\n",
"456 HAN There's an awful lot of moisture in here.\n",
"771 THREEPIO I never doubted you for a second. Wonderful Ar..."
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#Randomly select characters and their corresponding dialogues\n",
"df_film_dialogue.sample(10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2. Character appearance plots"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"ext = extract_characters(df_film, df_film_dialogue, df_film_characters, film)"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"alignmentgroup": "True",
"customdata": [
[
"INTERCOM VOICE",
2
],
[
"TRACKING OFFICER",
2
],
[
"IMPERIAL OFFICER",
2
],
[
"MEDICAL DROID",
2
],
[
"SENIOR CONTROLLER",
2
],
[
"LIEUTENANT",
2
],
[
"COMMUNICATIONS OFFICER",
2
],
[
"TRENCH OFFICER",
3
],
[
"CONTROLLER",
3
],
[
"ANNOUNCER",
3
],
[
"DERLIN",
3
],
[
"BOBA FETT",
4
],
[
"BEN'S VOICE",
4
],
[
"JANSON",
4
],
[
"DACK",
4
],
[
"EMPEROR",
5
],
[
"NEEDA",
5
],
[
"OZZEL",
5
],
[
"ZEV",
6
],
[
"VEERS",
7
],
[
"DECK OFFICER",
7
],
[
"WEDGE",
8
],
[
"BEN",
11
],
[
"RIEEKAN",
13
],
[
"CREATURE",
21
],
[
"PIETT",
23
],
[
"YODA",
36
],
[
"VADER",
56
],
[
"LANDO",
61
],
[
"THREEPIO",
92
],
[
"LEIA",
114
],
[
"LUKE",
128
],
[
"HAN",
180
]
],
"hovertemplate": "<b> Character Counts <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>",
"legendgroup": "",
"marker": {
"color": [
2,
2,
2,
2,
2,
2,
2,
3,
3,
3,
3,
4,
4,
4,
4,
5,
5,
5,
6,
7,
7,
8,
11,
13,
21,
23,
36,
56,
61,
92,
114,
128,
180
],
"coloraxis": "coloraxis"
},
"name": "",
"offsetgroup": "",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
2,
2,
2,
2,
2,
2,
2,
3,
3,
3,
3,
4,
4,
4,
4,
5,
5,
5,
6,
7,
7,
8,
11,
13,
21,
23,
36,
56,
61,
92,
114,
128,
180
],
"xaxis": "x",
"y": [
"INTERCOM VOICE",
"TRACKING OFFICER",
"IMPERIAL OFFICER",
"MEDICAL DROID",
"SENIOR CONTROLLER",
"LIEUTENANT",
"COMMUNICATIONS OFFICER",
"TRENCH OFFICER",
"CONTROLLER",
"ANNOUNCER",
"DERLIN",
"BOBA FETT",
"BEN'S VOICE",
"JANSON",
"DACK",
"EMPEROR",
"NEEDA",
"OZZEL",
"ZEV",
"VEERS",
"DECK OFFICER",
"WEDGE",
"BEN",
"RIEEKAN",
"CREATURE",
"PIETT",
"YODA",
"VADER",
"LANDO",
"THREEPIO",
"LEIA",
"LUKE",
"HAN"
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"coloraxis": {
"colorbar": {
"title": {
"text": "<b> Character Counts <b>"
}
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"height": 1000,
"legend": {
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Number of Times Characters appeared in the Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "<b> Counts <b>"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "<b> Characters <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"6a899dea-ac98-49a1-8900-194f30ff7e66\" class=\"plotly-graph-div\" style=\"height:1000px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"6a899dea-ac98-49a1-8900-194f30ff7e66\")) {\n",
" Plotly.newPlot(\n",
" '6a899dea-ac98-49a1-8900-194f30ff7e66',\n",
" [{\"alignmentgroup\": \"True\", \"customdata\": [[\"INTERCOM VOICE\", 2], [\"TRACKING OFFICER\", 2], [\"IMPERIAL OFFICER\", 2], [\"MEDICAL DROID\", 2], [\"SENIOR CONTROLLER\", 2], [\"LIEUTENANT\", 2], [\"COMMUNICATIONS OFFICER\", 2], [\"TRENCH OFFICER\", 3], [\"CONTROLLER\", 3], [\"ANNOUNCER\", 3], [\"DERLIN\", 3], [\"BOBA FETT\", 4], [\"BEN'S VOICE\", 4], [\"JANSON\", 4], [\"DACK\", 4], [\"EMPEROR\", 5], [\"NEEDA\", 5], [\"OZZEL\", 5], [\"ZEV\", 6], [\"VEERS\", 7], [\"DECK OFFICER\", 7], [\"WEDGE\", 8], [\"BEN\", 11], [\"RIEEKAN\", 13], [\"CREATURE\", 21], [\"PIETT\", 23], [\"YODA\", 36], [\"VADER\", 56], [\"LANDO\", 61], [\"THREEPIO\", 92], [\"LEIA\", 114], [\"LUKE\", 128], [\"HAN\", 180]], \"hovertemplate\": \"<b> Character Counts <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": [2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 6, 7, 7, 8, 11, 13, 21, 23, 36, 56, 61, 92, 114, 128, 180], \"coloraxis\": \"coloraxis\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"h\", \"showlegend\": false, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 6, 7, 7, 8, 11, 13, 21, 23, 36, 56, 61, 92, 114, 128, 180], \"xaxis\": \"x\", \"y\": [\"INTERCOM VOICE\", \"TRACKING OFFICER\", \"IMPERIAL OFFICER\", \"MEDICAL DROID\", \"SENIOR CONTROLLER\", \"LIEUTENANT\", \"COMMUNICATIONS OFFICER\", \"TRENCH OFFICER\", \"CONTROLLER\", \"ANNOUNCER\", \"DERLIN\", \"BOBA FETT\", \"BEN'S VOICE\", \"JANSON\", \"DACK\", \"EMPEROR\", \"NEEDA\", \"OZZEL\", \"ZEV\", \"VEERS\", \"DECK OFFICER\", \"WEDGE\", \"BEN\", \"RIEEKAN\", \"CREATURE\", \"PIETT\", \"YODA\", \"VADER\", \"LANDO\", \"THREEPIO\", \"LEIA\", \"LUKE\", \"HAN\"], \"yaxis\": \"y\"}],\n",
" {\"barmode\": \"relative\", \"coloraxis\": {\"colorbar\": {\"title\": {\"text\": \"<b> Character Counts <b>\"}}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"height\": 1000, \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Number of Times Characters appeared in the Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Counts <b>\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Characters <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('6a899dea-ac98-49a1-8900-194f30ff7e66');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"alignmentgroup": "True",
"customdata": [
[
"INTERCOM VOICE",
1
],
[
"TRACKING OFFICER",
1
],
[
"MEDICAL DROID",
1
],
[
"SENIOR CONTROLLER",
1
],
[
"LIEUTENANT",
1
],
[
"EMPEROR",
1
],
[
"COMMUNICATIONS OFFICER",
1
],
[
"IMPERIAL OFFICER",
2
],
[
"DERLIN",
2
],
[
"BEN'S VOICE",
2
],
[
"OZZEL",
2
],
[
"DECK OFFICER",
2
],
[
"NEEDA",
2
],
[
"BEN",
2
],
[
"CREATURE",
2
],
[
"TRENCH OFFICER",
3
],
[
"CONTROLLER",
3
],
[
"DACK",
3
],
[
"JANSON",
3
],
[
"ANNOUNCER",
3
],
[
"VEERS",
4
],
[
"BOBA FETT",
4
],
[
"YODA",
5
],
[
"ZEV",
5
],
[
"RIEEKAN",
6
],
[
"WEDGE",
7
],
[
"PIETT",
8
],
[
"VADER",
19
],
[
"LANDO",
21
],
[
"LEIA",
43
],
[
"LUKE",
43
],
[
"THREEPIO",
44
],
[
"HAN",
47
]
],
"hovertemplate": "<b> Scene Counts <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>",
"legendgroup": "",
"marker": {
"color": [
1,
1,
1,
1,
1,
1,
1,
2,
2,
2,
2,
2,
2,
2,
2,
3,
3,
3,
3,
3,
4,
4,
5,
5,
6,
7,
8,
19,
21,
43,
43,
44,
47
],
"coloraxis": "coloraxis"
},
"name": "",
"offsetgroup": "",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
1,
1,
1,
1,
1,
1,
1,
2,
2,
2,
2,
2,
2,
2,
2,
3,
3,
3,
3,
3,
4,
4,
5,
5,
6,
7,
8,
19,
21,
43,
43,
44,
47
],
"xaxis": "x",
"y": [
"INTERCOM VOICE",
"TRACKING OFFICER",
"MEDICAL DROID",
"SENIOR CONTROLLER",
"LIEUTENANT",
"EMPEROR",
"COMMUNICATIONS OFFICER",
"IMPERIAL OFFICER",
"DERLIN",
"BEN'S VOICE",
"OZZEL",
"DECK OFFICER",
"NEEDA",
"BEN",
"CREATURE",
"TRENCH OFFICER",
"CONTROLLER",
"DACK",
"JANSON",
"ANNOUNCER",
"VEERS",
"BOBA FETT",
"YODA",
"ZEV",
"RIEEKAN",
"WEDGE",
"PIETT",
"VADER",
"LANDO",
"LEIA",
"LUKE",
"THREEPIO",
"HAN"
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"coloraxis": {
"colorbar": {
"title": {
"text": "<b> Scene Counts <b>"
}
},
"colorscale": [
[
0,
"rgb(254, 252, 205)"
],
[
0.09090909090909091,
"rgb(239, 225, 156)"
],
[
0.18181818181818182,
"rgb(221, 201, 106)"
],
[
0.2727272727272727,
"rgb(194, 182, 59)"
],
[
0.36363636363636365,
"rgb(157, 167, 21)"
],
[
0.45454545454545453,
"rgb(116, 153, 5)"
],
[
0.5454545454545454,
"rgb(75, 138, 20)"
],
[
0.6363636363636364,
"rgb(35, 121, 36)"
],
[
0.7272727272727273,
"rgb(11, 100, 44)"
],
[
0.8181818181818182,
"rgb(18, 78, 43)"
],
[
0.9090909090909091,
"rgb(25, 56, 34)"
],
[
1,
"rgb(23, 35, 18)"
]
]
},
"height": 900,
"legend": {
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Number of Scenes Each Character Spoke In, in the Star-Wars-The-Empire-Strikes-Back movie <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "<b> Scene counts <b>"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "<b> Characters <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"b158b66a-a9ee-4826-bbf1-5685b60393e6\" class=\"plotly-graph-div\" style=\"height:900px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"b158b66a-a9ee-4826-bbf1-5685b60393e6\")) {\n",
" Plotly.newPlot(\n",
" 'b158b66a-a9ee-4826-bbf1-5685b60393e6',\n",
" [{\"alignmentgroup\": \"True\", \"customdata\": [[\"INTERCOM VOICE\", 1], [\"TRACKING OFFICER\", 1], [\"MEDICAL DROID\", 1], [\"SENIOR CONTROLLER\", 1], [\"LIEUTENANT\", 1], [\"EMPEROR\", 1], [\"COMMUNICATIONS OFFICER\", 1], [\"IMPERIAL OFFICER\", 2], [\"DERLIN\", 2], [\"BEN'S VOICE\", 2], [\"OZZEL\", 2], [\"DECK OFFICER\", 2], [\"NEEDA\", 2], [\"BEN\", 2], [\"CREATURE\", 2], [\"TRENCH OFFICER\", 3], [\"CONTROLLER\", 3], [\"DACK\", 3], [\"JANSON\", 3], [\"ANNOUNCER\", 3], [\"VEERS\", 4], [\"BOBA FETT\", 4], [\"YODA\", 5], [\"ZEV\", 5], [\"RIEEKAN\", 6], [\"WEDGE\", 7], [\"PIETT\", 8], [\"VADER\", 19], [\"LANDO\", 21], [\"LEIA\", 43], [\"LUKE\", 43], [\"THREEPIO\", 44], [\"HAN\", 47]], \"hovertemplate\": \"<b> Scene Counts <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 5, 5, 6, 7, 8, 19, 21, 43, 43, 44, 47], \"coloraxis\": \"coloraxis\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"h\", \"showlegend\": false, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 5, 5, 6, 7, 8, 19, 21, 43, 43, 44, 47], \"xaxis\": \"x\", \"y\": [\"INTERCOM VOICE\", \"TRACKING OFFICER\", \"MEDICAL DROID\", \"SENIOR CONTROLLER\", \"LIEUTENANT\", \"EMPEROR\", \"COMMUNICATIONS OFFICER\", \"IMPERIAL OFFICER\", \"DERLIN\", \"BEN'S VOICE\", \"OZZEL\", \"DECK OFFICER\", \"NEEDA\", \"BEN\", \"CREATURE\", \"TRENCH OFFICER\", \"CONTROLLER\", \"DACK\", \"JANSON\", \"ANNOUNCER\", \"VEERS\", \"BOBA FETT\", \"YODA\", \"ZEV\", \"RIEEKAN\", \"WEDGE\", \"PIETT\", \"VADER\", \"LANDO\", \"LEIA\", \"LUKE\", \"THREEPIO\", \"HAN\"], \"yaxis\": \"y\"}],\n",
" {\"barmode\": \"relative\", \"coloraxis\": {\"colorbar\": {\"title\": {\"text\": \"<b> Scene Counts <b>\"}}, \"colorscale\": [[0.0, \"rgb(254, 252, 205)\"], [0.09090909090909091, \"rgb(239, 225, 156)\"], [0.18181818181818182, \"rgb(221, 201, 106)\"], [0.2727272727272727, \"rgb(194, 182, 59)\"], [0.36363636363636365, \"rgb(157, 167, 21)\"], [0.45454545454545453, \"rgb(116, 153, 5)\"], [0.5454545454545454, \"rgb(75, 138, 20)\"], [0.6363636363636364, \"rgb(35, 121, 36)\"], [0.7272727272727273, \"rgb(11, 100, 44)\"], [0.8181818181818182, \"rgb(18, 78, 43)\"], [0.9090909090909091, \"rgb(25, 56, 34)\"], [1.0, \"rgb(23, 35, 18)\"]]}, \"height\": 900, \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Number of Scenes Each Character Spoke In, in the Star-Wars-The-Empire-Strikes-Back movie <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Scene counts <b>\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Characters <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('b158b66a-a9ee-4826-bbf1-5685b60393e6');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"movie_characters = ext.extract_character_plot()"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"dia = scene_dialogues(df_film, film)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"HAN",
3
],
[
"HAN",
5
],
[
"HAN",
6
],
[
"HAN",
7
],
[
"HAN",
9
],
[
"HAN",
10
],
[
"HAN",
17
],
[
"HAN",
21
],
[
"HAN",
24
],
[
"HAN",
25
],
[
"HAN",
27
],
[
"HAN",
31
],
[
"HAN",
33
],
[
"HAN",
85
],
[
"HAN",
98
],
[
"HAN",
106
],
[
"HAN",
108
],
[
"HAN",
109
],
[
"HAN",
112
],
[
"HAN",
113
],
[
"HAN",
116
],
[
"HAN",
122
],
[
"HAN",
126
],
[
"HAN",
129
],
[
"HAN",
130
],
[
"HAN",
134
],
[
"HAN",
136
],
[
"HAN",
138
],
[
"HAN",
147
],
[
"HAN",
149
],
[
"HAN",
158
],
[
"HAN",
159
],
[
"HAN",
160
],
[
"HAN",
161
],
[
"HAN",
173
],
[
"HAN",
180
],
[
"HAN",
185
],
[
"HAN",
188
],
[
"HAN",
190
],
[
"HAN",
193
],
[
"HAN",
194
],
[
"HAN",
199
],
[
"HAN",
201
],
[
"HAN",
202
],
[
"HAN",
203
],
[
"HAN",
209
],
[
"HAN",
213
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "HAN",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#636efa"
},
"name": "HAN",
"offsetgroup": "HAN",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
3,
5,
6,
7,
9,
10,
17,
21,
24,
25,
27,
31,
33,
85,
98,
106,
108,
109,
112,
113,
116,
122,
126,
129,
130,
134,
136,
138,
147,
149,
158,
159,
160,
161,
173,
180,
185,
188,
190,
193,
194,
199,
201,
202,
203,
209,
213
],
"x0": " ",
"xaxis": "x",
"y": [
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN",
"HAN"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"LUKE",
3
],
[
"LUKE",
17
],
[
"LUKE",
24
],
[
"LUKE",
32
],
[
"LUKE",
33
],
[
"LUKE",
46
],
[
"LUKE",
51
],
[
"LUKE",
53
],
[
"LUKE",
55
],
[
"LUKE",
60
],
[
"LUKE",
62
],
[
"LUKE",
67
],
[
"LUKE",
68
],
[
"LUKE",
69
],
[
"LUKE",
83
],
[
"LUKE",
89
],
[
"LUKE",
91
],
[
"LUKE",
94
],
[
"LUKE",
95
],
[
"LUKE",
97
],
[
"LUKE",
118
],
[
"LUKE",
120
],
[
"LUKE",
141
],
[
"LUKE",
143
],
[
"LUKE",
144
],
[
"LUKE",
148
],
[
"LUKE",
155
],
[
"LUKE",
165
],
[
"LUKE",
176
],
[
"LUKE",
182
],
[
"LUKE",
197
],
[
"LUKE",
205
],
[
"LUKE",
223
],
[
"LUKE",
232
],
[
"LUKE",
235
],
[
"LUKE",
248
],
[
"LUKE",
257
],
[
"LUKE",
259
],
[
"LUKE",
262
],
[
"LUKE",
264
],
[
"LUKE",
272
],
[
"LUKE",
273
],
[
"LUKE",
275
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "LUKE",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#EF553B"
},
"name": "LUKE",
"offsetgroup": "LUKE",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
3,
17,
24,
32,
33,
46,
51,
53,
55,
60,
62,
67,
68,
69,
83,
89,
91,
94,
95,
97,
118,
120,
141,
143,
144,
148,
155,
165,
176,
182,
197,
205,
223,
232,
235,
248,
257,
259,
262,
264,
272,
273,
275
],
"x0": " ",
"xaxis": "x",
"y": [
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE",
"LUKE"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"LEIA",
6
],
[
"LEIA",
7
],
[
"LEIA",
24
],
[
"LEIA",
25
],
[
"LEIA",
27
],
[
"LEIA",
36
],
[
"LEIA",
84
],
[
"LEIA",
98
],
[
"LEIA",
112
],
[
"LEIA",
113
],
[
"LEIA",
116
],
[
"LEIA",
122
],
[
"LEIA",
126
],
[
"LEIA",
129
],
[
"LEIA",
130
],
[
"LEIA",
134
],
[
"LEIA",
136
],
[
"LEIA",
138
],
[
"LEIA",
147
],
[
"LEIA",
149
],
[
"LEIA",
158
],
[
"LEIA",
159
],
[
"LEIA",
160
],
[
"LEIA",
161
],
[
"LEIA",
173
],
[
"LEIA",
180
],
[
"LEIA",
185
],
[
"LEIA",
188
],
[
"LEIA",
192
],
[
"LEIA",
193
],
[
"LEIA",
199
],
[
"LEIA",
201
],
[
"LEIA",
202
],
[
"LEIA",
209
],
[
"LEIA",
213
],
[
"LEIA",
214
],
[
"LEIA",
219
],
[
"LEIA",
236
],
[
"LEIA",
241
],
[
"LEIA",
243
],
[
"LEIA",
246
],
[
"LEIA",
250
],
[
"LEIA",
251
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "LEIA",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#00cc96"
},
"name": "LEIA",
"offsetgroup": "LEIA",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
6,
7,
24,
25,
27,
36,
84,
98,
112,
113,
116,
122,
126,
129,
130,
134,
136,
138,
147,
149,
158,
159,
160,
161,
173,
180,
185,
188,
192,
193,
199,
201,
202,
209,
213,
214,
219,
236,
241,
243,
246,
250,
251
],
"x0": " ",
"xaxis": "x",
"y": [
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA",
"LEIA"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"RIEEKAN",
6
],
[
"RIEEKAN",
25
],
[
"RIEEKAN",
27
],
[
"RIEEKAN",
34
],
[
"RIEEKAN",
39
],
[
"RIEEKAN",
84
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "RIEEKAN",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#ab63fa"
},
"name": "RIEEKAN",
"offsetgroup": "RIEEKAN",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
6,
25,
27,
34,
39,
84
],
"x0": " ",
"xaxis": "x",
"y": [
"RIEEKAN",
"RIEEKAN",
"RIEEKAN",
"RIEEKAN",
"RIEEKAN",
"RIEEKAN"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"THREEPIO",
8
],
[
"THREEPIO",
9
],
[
"THREEPIO",
14
],
[
"THREEPIO",
16
],
[
"THREEPIO",
24
],
[
"THREEPIO",
25
],
[
"THREEPIO",
85
],
[
"THREEPIO",
98
],
[
"THREEPIO",
106
],
[
"THREEPIO",
108
],
[
"THREEPIO",
109
],
[
"THREEPIO",
112
],
[
"THREEPIO",
122
],
[
"THREEPIO",
126
],
[
"THREEPIO",
130
],
[
"THREEPIO",
134
],
[
"THREEPIO",
136
],
[
"THREEPIO",
147
],
[
"THREEPIO",
149
],
[
"THREEPIO",
158
],
[
"THREEPIO",
159
],
[
"THREEPIO",
161
],
[
"THREEPIO",
171
],
[
"THREEPIO",
173
],
[
"THREEPIO",
180
],
[
"THREEPIO",
185
],
[
"THREEPIO",
188
],
[
"THREEPIO",
192
],
[
"THREEPIO",
193
],
[
"THREEPIO",
194
],
[
"THREEPIO",
195
],
[
"THREEPIO",
206
],
[
"THREEPIO",
209
],
[
"THREEPIO",
213
],
[
"THREEPIO",
219
],
[
"THREEPIO",
221
],
[
"THREEPIO",
222
],
[
"THREEPIO",
226
],
[
"THREEPIO",
227
],
[
"THREEPIO",
228
],
[
"THREEPIO",
229
],
[
"THREEPIO",
254
],
[
"THREEPIO",
266
],
[
"THREEPIO",
268
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "THREEPIO",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FFA15A"
},
"name": "THREEPIO",
"offsetgroup": "THREEPIO",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
8,
9,
14,
16,
24,
25,
85,
98,
106,
108,
109,
112,
122,
126,
130,
134,
136,
147,
149,
158,
159,
161,
171,
173,
180,
185,
188,
192,
193,
194,
195,
206,
209,
213,
219,
221,
222,
226,
227,
228,
229,
254,
266,
268
],
"x0": " ",
"xaxis": "x",
"y": [
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO",
"THREEPIO"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"DECK OFFICER",
9
],
[
"DECK OFFICER",
10
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "DECK OFFICER",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#19d3f3"
},
"name": "DECK OFFICER",
"offsetgroup": "DECK OFFICER",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
9,
10
],
"x0": " ",
"xaxis": "x",
"y": [
"DECK OFFICER",
"DECK OFFICER"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"DERLIN",
16
],
[
"DERLIN",
36
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "DERLIN",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FF6692"
},
"name": "DERLIN",
"offsetgroup": "DERLIN",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
16,
36
],
"x0": " ",
"xaxis": "x",
"y": [
"DERLIN",
"DERLIN"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"LIEUTENANT",
16
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "LIEUTENANT",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#B6E880"
},
"name": "LIEUTENANT",
"offsetgroup": "LIEUTENANT",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
16
],
"x0": " ",
"xaxis": "x",
"y": [
"LIEUTENANT"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"BEN",
17
],
[
"BEN",
197
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "BEN",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FF97FF"
},
"name": "BEN",
"offsetgroup": "BEN",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
17,
197
],
"x0": " ",
"xaxis": "x",
"y": [
"BEN",
"BEN"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"ZEV",
19
],
[
"ZEV",
21
],
[
"ZEV",
90
],
[
"ZEV",
93
],
[
"ZEV",
95
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "ZEV",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FECB52"
},
"name": "ZEV",
"offsetgroup": "ZEV",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
19,
21,
90,
93,
95
],
"x0": " ",
"xaxis": "x",
"y": [
"ZEV",
"ZEV",
"ZEV",
"ZEV",
"ZEV"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"ANNOUNCER",
24
],
[
"ANNOUNCER",
46
],
[
"ANNOUNCER",
98
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "ANNOUNCER",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#636efa"
},
"name": "ANNOUNCER",
"offsetgroup": "ANNOUNCER",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
24,
46,
98
],
"x0": " ",
"xaxis": "x",
"y": [
"ANNOUNCER",
"ANNOUNCER",
"ANNOUNCER"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"SENIOR CONTROLLER",
25
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "SENIOR CONTROLLER",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#EF553B"
},
"name": "SENIOR CONTROLLER",
"offsetgroup": "SENIOR CONTROLLER",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
25
],
"x0": " ",
"xaxis": "x",
"y": [
"SENIOR CONTROLLER"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"VADER",
29
],
[
"VADER",
35
],
[
"VADER",
145
],
[
"VADER",
151
],
[
"VADER",
153
],
[
"VADER",
169
],
[
"VADER",
178
],
[
"VADER",
203
],
[
"VADER",
208
],
[
"VADER",
210
],
[
"VADER",
213
],
[
"VADER",
218
],
[
"VADER",
223
],
[
"VADER",
232
],
[
"VADER",
238
],
[
"VADER",
253
],
[
"VADER",
256
],
[
"VADER",
258
],
[
"VADER",
263
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "VADER",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#00cc96"
},
"name": "VADER",
"offsetgroup": "VADER",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
29,
35,
145,
151,
153,
169,
178,
203,
208,
210,
213,
218,
223,
232,
238,
253,
256,
258,
263
],
"x0": " ",
"xaxis": "x",
"y": [
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER",
"VADER"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"PIETT",
29
],
[
"PIETT",
35
],
[
"PIETT",
145
],
[
"PIETT",
151
],
[
"PIETT",
169
],
[
"PIETT",
178
],
[
"PIETT",
253
],
[
"PIETT",
265
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "PIETT",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#ab63fa"
},
"name": "PIETT",
"offsetgroup": "PIETT",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
29,
35,
145,
151,
169,
178,
253,
265
],
"x0": " ",
"xaxis": "x",
"y": [
"PIETT",
"PIETT",
"PIETT",
"PIETT",
"PIETT",
"PIETT",
"PIETT",
"PIETT"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"OZZEL",
29
],
[
"OZZEL",
35
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "OZZEL",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FFA15A"
},
"name": "OZZEL",
"offsetgroup": "OZZEL",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
29,
35
],
"x0": " ",
"xaxis": "x",
"y": [
"OZZEL",
"OZZEL"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"MEDICAL DROID",
32
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "MEDICAL DROID",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#19d3f3"
},
"name": "MEDICAL DROID",
"offsetgroup": "MEDICAL DROID",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
32
],
"x0": " ",
"xaxis": "x",
"y": [
"MEDICAL DROID"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"CONTROLLER",
34
],
[
"CONTROLLER",
42
],
[
"CONTROLLER",
49
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "CONTROLLER",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FF6692"
},
"name": "CONTROLLER",
"offsetgroup": "CONTROLLER",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
34,
42,
49
],
"x0": " ",
"xaxis": "x",
"y": [
"CONTROLLER",
"CONTROLLER",
"CONTROLLER"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"VEERS",
35
],
[
"VEERS",
66
],
[
"VEERS",
87
],
[
"VEERS",
104
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "VEERS",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#B6E880"
},
"name": "VEERS",
"offsetgroup": "VEERS",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
35,
66,
87,
104
],
"x0": " ",
"xaxis": "x",
"y": [
"VEERS",
"VEERS",
"VEERS",
"VEERS"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"DACK",
46
],
[
"DACK",
53
],
[
"DACK",
60
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "DACK",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FF97FF"
},
"name": "DACK",
"offsetgroup": "DACK",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
46,
53,
60
],
"x0": " ",
"xaxis": "x",
"y": [
"DACK",
"DACK",
"DACK"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"TRENCH OFFICER",
48
],
[
"TRENCH OFFICER",
49
],
[
"TRENCH OFFICER",
81
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "TRENCH OFFICER",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FECB52"
},
"name": "TRENCH OFFICER",
"offsetgroup": "TRENCH OFFICER",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
48,
49,
81
],
"x0": " ",
"xaxis": "x",
"y": [
"TRENCH OFFICER",
"TRENCH OFFICER",
"TRENCH OFFICER"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"WEDGE",
68
],
[
"WEDGE",
71
],
[
"WEDGE",
73
],
[
"WEDGE",
75
],
[
"WEDGE",
77
],
[
"WEDGE",
82
],
[
"WEDGE",
118
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "WEDGE",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#636efa"
},
"name": "WEDGE",
"offsetgroup": "WEDGE",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
68,
71,
73,
75,
77,
82,
118
],
"x0": " ",
"xaxis": "x",
"y": [
"WEDGE",
"WEDGE",
"WEDGE",
"WEDGE",
"WEDGE",
"WEDGE",
"WEDGE"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"JANSON",
75
],
[
"JANSON",
77
],
[
"JANSON",
79
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "JANSON",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#EF553B"
},
"name": "JANSON",
"offsetgroup": "JANSON",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
75,
77,
79
],
"x0": " ",
"xaxis": "x",
"y": [
"JANSON",
"JANSON",
"JANSON"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"IMPERIAL OFFICER",
124
],
[
"IMPERIAL OFFICER",
213
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "IMPERIAL OFFICER",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#00cc96"
},
"name": "IMPERIAL OFFICER",
"offsetgroup": "IMPERIAL OFFICER",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
124,
213
],
"x0": " ",
"xaxis": "x",
"y": [
"IMPERIAL OFFICER",
"IMPERIAL OFFICER"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"CREATURE",
148
],
[
"CREATURE",
155
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "CREATURE",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#ab63fa"
},
"name": "CREATURE",
"offsetgroup": "CREATURE",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
148,
155
],
"x0": " ",
"xaxis": "x",
"y": [
"CREATURE",
"CREATURE"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"NEEDA",
151
],
[
"NEEDA",
175
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "NEEDA",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FFA15A"
},
"name": "NEEDA",
"offsetgroup": "NEEDA",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
151,
175
],
"x0": " ",
"xaxis": "x",
"y": [
"NEEDA",
"NEEDA"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"EMPEROR",
153
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "EMPEROR",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#19d3f3"
},
"name": "EMPEROR",
"offsetgroup": "EMPEROR",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
153
],
"x0": " ",
"xaxis": "x",
"y": [
"EMPEROR"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"YODA",
155
],
[
"YODA",
165
],
[
"YODA",
176
],
[
"YODA",
182
],
[
"YODA",
197
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "YODA",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FF6692"
},
"name": "YODA",
"offsetgroup": "YODA",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
155,
165,
176,
182,
197
],
"x0": " ",
"xaxis": "x",
"y": [
"YODA",
"YODA",
"YODA",
"YODA",
"YODA"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"BEN'S VOICE",
155
],
[
"BEN'S VOICE",
197
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "BEN'S VOICE",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#B6E880"
},
"name": "BEN'S VOICE",
"offsetgroup": "BEN'S VOICE",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
155,
197
],
"x0": " ",
"xaxis": "x",
"y": [
"BEN'S VOICE",
"BEN'S VOICE"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"BOBA FETT",
169
],
[
"BOBA FETT",
208
],
[
"BOBA FETT",
213
],
[
"BOBA FETT",
220
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "BOBA FETT",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FF97FF"
},
"name": "BOBA FETT",
"offsetgroup": "BOBA FETT",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
169,
208,
213,
220
],
"x0": " ",
"xaxis": "x",
"y": [
"BOBA FETT",
"BOBA FETT",
"BOBA FETT",
"BOBA FETT"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"TRACKING OFFICER",
175
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "TRACKING OFFICER",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#FECB52"
},
"name": "TRACKING OFFICER",
"offsetgroup": "TRACKING OFFICER",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
175
],
"x0": " ",
"xaxis": "x",
"y": [
"TRACKING OFFICER"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"COMMUNICATIONS OFFICER",
175
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "COMMUNICATIONS OFFICER",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#636efa"
},
"name": "COMMUNICATIONS OFFICER",
"offsetgroup": "COMMUNICATIONS OFFICER",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
175
],
"x0": " ",
"xaxis": "x",
"y": [
"COMMUNICATIONS OFFICER"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"INTERCOM VOICE",
185
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "INTERCOM VOICE",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#EF553B"
},
"name": "INTERCOM VOICE",
"offsetgroup": "INTERCOM VOICE",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
185
],
"x0": " ",
"xaxis": "x",
"y": [
"INTERCOM VOICE"
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
"boxpoints": "all",
"customdata": [
[
"LANDO",
191
],
[
"LANDO",
193
],
[
"LANDO",
194
],
[
"LANDO",
201
],
[
"LANDO",
202
],
[
"LANDO",
203
],
[
"LANDO",
208
],
[
"LANDO",
209
],
[
"LANDO",
210
],
[
"LANDO",
213
],
[
"LANDO",
219
],
[
"LANDO",
226
],
[
"LANDO",
228
],
[
"LANDO",
236
],
[
"LANDO",
241
],
[
"LANDO",
246
],
[
"LANDO",
248
],
[
"LANDO",
251
],
[
"LANDO",
260
],
[
"LANDO",
272
],
[
"LANDO",
274
]
],
"fillcolor": "rgba(255,255,255,0)",
"hoveron": "points",
"hovertemplate": "<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>",
"legendgroup": "LANDO",
"line": {
"color": "rgba(255,255,255,0)"
},
"marker": {
"color": "#00cc96"
},
"name": "LANDO",
"offsetgroup": "LANDO",
"orientation": "v",
"pointpos": 0,
"showlegend": true,
"type": "box",
"x": [
191,
193,
194,
201,
202,
203,
208,
209,
210,
213,
219,
226,
228,
236,
241,
246,
248,
251,
260,
272,
274
],
"x0": " ",
"xaxis": "x",
"y": [
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO",
"LANDO"
],
"y0": " ",
"yaxis": "y"
}
],
"layout": {
"boxmode": "group",
"height": 800,
"legend": {
"title": {
"text": "<b> Scene Characters <b>"
},
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Appearances of characters ordered by their first appearance, in the Star-Wars-The-Empire-Strikes-Back movie <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "<b> Scene Numbers <b>"
}
},
"yaxis": {
"anchor": "x",
"categoryarray": [
"LANDO",
"INTERCOM VOICE",
"COMMUNICATIONS OFFICER",
"TRACKING OFFICER",
"BOBA FETT",
"BEN'S VOICE",
"YODA",
"EMPEROR",
"NEEDA",
"CREATURE",
"IMPERIAL OFFICER",
"JANSON",
"WEDGE",
"TRENCH OFFICER",
"DACK",
"VEERS",
"CONTROLLER",
"MEDICAL DROID",
"OZZEL",
"PIETT",
"VADER",
"SENIOR CONTROLLER",
"ANNOUNCER",
"ZEV",
"BEN",
"LIEUTENANT",
"DERLIN",
"DECK OFFICER",
"THREEPIO",
"RIEEKAN",
"LEIA",
"LUKE",
"HAN"
],
"categoryorder": "array",
"domain": [
0,
1
],
"title": {
"text": "<b> Scene Characters <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"99f36ee2-3022-435e-99d5-0faca2983bca\" class=\"plotly-graph-div\" style=\"height:800px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"99f36ee2-3022-435e-99d5-0faca2983bca\")) {\n",
" Plotly.newPlot(\n",
" '99f36ee2-3022-435e-99d5-0faca2983bca',\n",
" [{\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"HAN\", 3], [\"HAN\", 5], [\"HAN\", 6], [\"HAN\", 7], [\"HAN\", 9], [\"HAN\", 10], [\"HAN\", 17], [\"HAN\", 21], [\"HAN\", 24], [\"HAN\", 25], [\"HAN\", 27], [\"HAN\", 31], [\"HAN\", 33], [\"HAN\", 85], [\"HAN\", 98], [\"HAN\", 106], [\"HAN\", 108], [\"HAN\", 109], [\"HAN\", 112], [\"HAN\", 113], [\"HAN\", 116], [\"HAN\", 122], [\"HAN\", 126], [\"HAN\", 129], [\"HAN\", 130], [\"HAN\", 134], [\"HAN\", 136], [\"HAN\", 138], [\"HAN\", 147], [\"HAN\", 149], [\"HAN\", 158], [\"HAN\", 159], [\"HAN\", 160], [\"HAN\", 161], [\"HAN\", 173], [\"HAN\", 180], [\"HAN\", 185], [\"HAN\", 188], [\"HAN\", 190], [\"HAN\", 193], [\"HAN\", 194], [\"HAN\", 199], [\"HAN\", 201], [\"HAN\", 202], [\"HAN\", 203], [\"HAN\", 209], [\"HAN\", 213]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"HAN\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#636efa\"}, \"name\": \"HAN\", \"offsetgroup\": \"HAN\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [3, 5, 6, 7, 9, 10, 17, 21, 24, 25, 27, 31, 33, 85, 98, 106, 108, 109, 112, 113, 116, 122, 126, 129, 130, 134, 136, 138, 147, 149, 158, 159, 160, 161, 173, 180, 185, 188, 190, 193, 194, 199, 201, 202, 203, 209, 213], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\", \"HAN\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"LUKE\", 3], [\"LUKE\", 17], [\"LUKE\", 24], [\"LUKE\", 32], [\"LUKE\", 33], [\"LUKE\", 46], [\"LUKE\", 51], [\"LUKE\", 53], [\"LUKE\", 55], [\"LUKE\", 60], [\"LUKE\", 62], [\"LUKE\", 67], [\"LUKE\", 68], [\"LUKE\", 69], [\"LUKE\", 83], [\"LUKE\", 89], [\"LUKE\", 91], [\"LUKE\", 94], [\"LUKE\", 95], [\"LUKE\", 97], [\"LUKE\", 118], [\"LUKE\", 120], [\"LUKE\", 141], [\"LUKE\", 143], [\"LUKE\", 144], [\"LUKE\", 148], [\"LUKE\", 155], [\"LUKE\", 165], [\"LUKE\", 176], [\"LUKE\", 182], [\"LUKE\", 197], [\"LUKE\", 205], [\"LUKE\", 223], [\"LUKE\", 232], [\"LUKE\", 235], [\"LUKE\", 248], [\"LUKE\", 257], [\"LUKE\", 259], [\"LUKE\", 262], [\"LUKE\", 264], [\"LUKE\", 272], [\"LUKE\", 273], [\"LUKE\", 275]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"LUKE\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#EF553B\"}, \"name\": \"LUKE\", \"offsetgroup\": \"LUKE\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [3, 17, 24, 32, 33, 46, 51, 53, 55, 60, 62, 67, 68, 69, 83, 89, 91, 94, 95, 97, 118, 120, 141, 143, 144, 148, 155, 165, 176, 182, 197, 205, 223, 232, 235, 248, 257, 259, 262, 264, 272, 273, 275], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\", \"LUKE\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"LEIA\", 6], [\"LEIA\", 7], [\"LEIA\", 24], [\"LEIA\", 25], [\"LEIA\", 27], [\"LEIA\", 36], [\"LEIA\", 84], [\"LEIA\", 98], [\"LEIA\", 112], [\"LEIA\", 113], [\"LEIA\", 116], [\"LEIA\", 122], [\"LEIA\", 126], [\"LEIA\", 129], [\"LEIA\", 130], [\"LEIA\", 134], [\"LEIA\", 136], [\"LEIA\", 138], [\"LEIA\", 147], [\"LEIA\", 149], [\"LEIA\", 158], [\"LEIA\", 159], [\"LEIA\", 160], [\"LEIA\", 161], [\"LEIA\", 173], [\"LEIA\", 180], [\"LEIA\", 185], [\"LEIA\", 188], [\"LEIA\", 192], [\"LEIA\", 193], [\"LEIA\", 199], [\"LEIA\", 201], [\"LEIA\", 202], [\"LEIA\", 209], [\"LEIA\", 213], [\"LEIA\", 214], [\"LEIA\", 219], [\"LEIA\", 236], [\"LEIA\", 241], [\"LEIA\", 243], [\"LEIA\", 246], [\"LEIA\", 250], [\"LEIA\", 251]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"LEIA\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#00cc96\"}, \"name\": \"LEIA\", \"offsetgroup\": \"LEIA\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [6, 7, 24, 25, 27, 36, 84, 98, 112, 113, 116, 122, 126, 129, 130, 134, 136, 138, 147, 149, 158, 159, 160, 161, 173, 180, 185, 188, 192, 193, 199, 201, 202, 209, 213, 214, 219, 236, 241, 243, 246, 250, 251], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\", \"LEIA\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"RIEEKAN\", 6], [\"RIEEKAN\", 25], [\"RIEEKAN\", 27], [\"RIEEKAN\", 34], [\"RIEEKAN\", 39], [\"RIEEKAN\", 84]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"RIEEKAN\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#ab63fa\"}, \"name\": \"RIEEKAN\", \"offsetgroup\": \"RIEEKAN\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [6, 25, 27, 34, 39, 84], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"RIEEKAN\", \"RIEEKAN\", \"RIEEKAN\", \"RIEEKAN\", \"RIEEKAN\", \"RIEEKAN\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"THREEPIO\", 8], [\"THREEPIO\", 9], [\"THREEPIO\", 14], [\"THREEPIO\", 16], [\"THREEPIO\", 24], [\"THREEPIO\", 25], [\"THREEPIO\", 85], [\"THREEPIO\", 98], [\"THREEPIO\", 106], [\"THREEPIO\", 108], [\"THREEPIO\", 109], [\"THREEPIO\", 112], [\"THREEPIO\", 122], [\"THREEPIO\", 126], [\"THREEPIO\", 130], [\"THREEPIO\", 134], [\"THREEPIO\", 136], [\"THREEPIO\", 147], [\"THREEPIO\", 149], [\"THREEPIO\", 158], [\"THREEPIO\", 159], [\"THREEPIO\", 161], [\"THREEPIO\", 171], [\"THREEPIO\", 173], [\"THREEPIO\", 180], [\"THREEPIO\", 185], [\"THREEPIO\", 188], [\"THREEPIO\", 192], [\"THREEPIO\", 193], [\"THREEPIO\", 194], [\"THREEPIO\", 195], [\"THREEPIO\", 206], [\"THREEPIO\", 209], [\"THREEPIO\", 213], [\"THREEPIO\", 219], [\"THREEPIO\", 221], [\"THREEPIO\", 222], [\"THREEPIO\", 226], [\"THREEPIO\", 227], [\"THREEPIO\", 228], [\"THREEPIO\", 229], [\"THREEPIO\", 254], [\"THREEPIO\", 266], [\"THREEPIO\", 268]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"THREEPIO\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FFA15A\"}, \"name\": \"THREEPIO\", \"offsetgroup\": \"THREEPIO\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [8, 9, 14, 16, 24, 25, 85, 98, 106, 108, 109, 112, 122, 126, 130, 134, 136, 147, 149, 158, 159, 161, 171, 173, 180, 185, 188, 192, 193, 194, 195, 206, 209, 213, 219, 221, 222, 226, 227, 228, 229, 254, 266, 268], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\", \"THREEPIO\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"DECK OFFICER\", 9], [\"DECK OFFICER\", 10]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"DECK OFFICER\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#19d3f3\"}, \"name\": \"DECK OFFICER\", \"offsetgroup\": \"DECK OFFICER\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [9, 10], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"DECK OFFICER\", \"DECK OFFICER\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"DERLIN\", 16], [\"DERLIN\", 36]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"DERLIN\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FF6692\"}, \"name\": \"DERLIN\", \"offsetgroup\": \"DERLIN\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [16, 36], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"DERLIN\", \"DERLIN\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"LIEUTENANT\", 16]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"LIEUTENANT\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#B6E880\"}, \"name\": \"LIEUTENANT\", \"offsetgroup\": \"LIEUTENANT\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [16], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"LIEUTENANT\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"BEN\", 17], [\"BEN\", 197]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"BEN\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FF97FF\"}, \"name\": \"BEN\", \"offsetgroup\": \"BEN\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [17, 197], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"BEN\", \"BEN\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"ZEV\", 19], [\"ZEV\", 21], [\"ZEV\", 90], [\"ZEV\", 93], [\"ZEV\", 95]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"ZEV\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FECB52\"}, \"name\": \"ZEV\", \"offsetgroup\": \"ZEV\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [19, 21, 90, 93, 95], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"ZEV\", \"ZEV\", \"ZEV\", \"ZEV\", \"ZEV\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"ANNOUNCER\", 24], [\"ANNOUNCER\", 46], [\"ANNOUNCER\", 98]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"ANNOUNCER\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#636efa\"}, \"name\": \"ANNOUNCER\", \"offsetgroup\": \"ANNOUNCER\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [24, 46, 98], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"ANNOUNCER\", \"ANNOUNCER\", \"ANNOUNCER\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"SENIOR CONTROLLER\", 25]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"SENIOR CONTROLLER\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#EF553B\"}, \"name\": \"SENIOR CONTROLLER\", \"offsetgroup\": \"SENIOR CONTROLLER\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [25], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"SENIOR CONTROLLER\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"VADER\", 29], [\"VADER\", 35], [\"VADER\", 145], [\"VADER\", 151], [\"VADER\", 153], [\"VADER\", 169], [\"VADER\", 178], [\"VADER\", 203], [\"VADER\", 208], [\"VADER\", 210], [\"VADER\", 213], [\"VADER\", 218], [\"VADER\", 223], [\"VADER\", 232], [\"VADER\", 238], [\"VADER\", 253], [\"VADER\", 256], [\"VADER\", 258], [\"VADER\", 263]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"VADER\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#00cc96\"}, \"name\": \"VADER\", \"offsetgroup\": \"VADER\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [29, 35, 145, 151, 153, 169, 178, 203, 208, 210, 213, 218, 223, 232, 238, 253, 256, 258, 263], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\", \"VADER\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"PIETT\", 29], [\"PIETT\", 35], [\"PIETT\", 145], [\"PIETT\", 151], [\"PIETT\", 169], [\"PIETT\", 178], [\"PIETT\", 253], [\"PIETT\", 265]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"PIETT\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#ab63fa\"}, \"name\": \"PIETT\", \"offsetgroup\": \"PIETT\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [29, 35, 145, 151, 169, 178, 253, 265], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"PIETT\", \"PIETT\", \"PIETT\", \"PIETT\", \"PIETT\", \"PIETT\", \"PIETT\", \"PIETT\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"OZZEL\", 29], [\"OZZEL\", 35]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"OZZEL\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FFA15A\"}, \"name\": \"OZZEL\", \"offsetgroup\": \"OZZEL\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [29, 35], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"OZZEL\", \"OZZEL\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"MEDICAL DROID\", 32]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"MEDICAL DROID\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#19d3f3\"}, \"name\": \"MEDICAL DROID\", \"offsetgroup\": \"MEDICAL DROID\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [32], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"MEDICAL DROID\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"CONTROLLER\", 34], [\"CONTROLLER\", 42], [\"CONTROLLER\", 49]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"CONTROLLER\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FF6692\"}, \"name\": \"CONTROLLER\", \"offsetgroup\": \"CONTROLLER\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [34, 42, 49], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"CONTROLLER\", \"CONTROLLER\", \"CONTROLLER\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"VEERS\", 35], [\"VEERS\", 66], [\"VEERS\", 87], [\"VEERS\", 104]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"VEERS\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#B6E880\"}, \"name\": \"VEERS\", \"offsetgroup\": \"VEERS\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [35, 66, 87, 104], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"VEERS\", \"VEERS\", \"VEERS\", \"VEERS\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"DACK\", 46], [\"DACK\", 53], [\"DACK\", 60]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"DACK\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FF97FF\"}, \"name\": \"DACK\", \"offsetgroup\": \"DACK\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [46, 53, 60], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"DACK\", \"DACK\", \"DACK\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"TRENCH OFFICER\", 48], [\"TRENCH OFFICER\", 49], [\"TRENCH OFFICER\", 81]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"TRENCH OFFICER\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FECB52\"}, \"name\": \"TRENCH OFFICER\", \"offsetgroup\": \"TRENCH OFFICER\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [48, 49, 81], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"TRENCH OFFICER\", \"TRENCH OFFICER\", \"TRENCH OFFICER\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"WEDGE\", 68], [\"WEDGE\", 71], [\"WEDGE\", 73], [\"WEDGE\", 75], [\"WEDGE\", 77], [\"WEDGE\", 82], [\"WEDGE\", 118]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"WEDGE\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#636efa\"}, \"name\": \"WEDGE\", \"offsetgroup\": \"WEDGE\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [68, 71, 73, 75, 77, 82, 118], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"WEDGE\", \"WEDGE\", \"WEDGE\", \"WEDGE\", \"WEDGE\", \"WEDGE\", \"WEDGE\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"JANSON\", 75], [\"JANSON\", 77], [\"JANSON\", 79]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"JANSON\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#EF553B\"}, \"name\": \"JANSON\", \"offsetgroup\": \"JANSON\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [75, 77, 79], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"JANSON\", \"JANSON\", \"JANSON\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"IMPERIAL OFFICER\", 124], [\"IMPERIAL OFFICER\", 213]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"IMPERIAL OFFICER\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#00cc96\"}, \"name\": \"IMPERIAL OFFICER\", \"offsetgroup\": \"IMPERIAL OFFICER\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [124, 213], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"IMPERIAL OFFICER\", \"IMPERIAL OFFICER\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"CREATURE\", 148], [\"CREATURE\", 155]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"CREATURE\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#ab63fa\"}, \"name\": \"CREATURE\", \"offsetgroup\": \"CREATURE\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [148, 155], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"CREATURE\", \"CREATURE\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"NEEDA\", 151], [\"NEEDA\", 175]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"NEEDA\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FFA15A\"}, \"name\": \"NEEDA\", \"offsetgroup\": \"NEEDA\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [151, 175], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"NEEDA\", \"NEEDA\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"EMPEROR\", 153]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"EMPEROR\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#19d3f3\"}, \"name\": \"EMPEROR\", \"offsetgroup\": \"EMPEROR\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [153], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"EMPEROR\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"YODA\", 155], [\"YODA\", 165], [\"YODA\", 176], [\"YODA\", 182], [\"YODA\", 197]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"YODA\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FF6692\"}, \"name\": \"YODA\", \"offsetgroup\": \"YODA\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [155, 165, 176, 182, 197], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"YODA\", \"YODA\", \"YODA\", \"YODA\", \"YODA\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"BEN'S VOICE\", 155], [\"BEN'S VOICE\", 197]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"BEN'S VOICE\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#B6E880\"}, \"name\": \"BEN'S VOICE\", \"offsetgroup\": \"BEN'S VOICE\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [155, 197], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"BEN'S VOICE\", \"BEN'S VOICE\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"BOBA FETT\", 169], [\"BOBA FETT\", 208], [\"BOBA FETT\", 213], [\"BOBA FETT\", 220]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"BOBA FETT\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FF97FF\"}, \"name\": \"BOBA FETT\", \"offsetgroup\": \"BOBA FETT\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [169, 208, 213, 220], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"BOBA FETT\", \"BOBA FETT\", \"BOBA FETT\", \"BOBA FETT\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"TRACKING OFFICER\", 175]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"TRACKING OFFICER\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#FECB52\"}, \"name\": \"TRACKING OFFICER\", \"offsetgroup\": \"TRACKING OFFICER\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [175], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"TRACKING OFFICER\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"COMMUNICATIONS OFFICER\", 175]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"COMMUNICATIONS OFFICER\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#636efa\"}, \"name\": \"COMMUNICATIONS OFFICER\", \"offsetgroup\": \"COMMUNICATIONS OFFICER\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [175], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"COMMUNICATIONS OFFICER\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"INTERCOM VOICE\", 185]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"INTERCOM VOICE\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#EF553B\"}, \"name\": \"INTERCOM VOICE\", \"offsetgroup\": \"INTERCOM VOICE\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [185], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"INTERCOM VOICE\"], \"y0\": \" \", \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"boxpoints\": \"all\", \"customdata\": [[\"LANDO\", 191], [\"LANDO\", 193], [\"LANDO\", 194], [\"LANDO\", 201], [\"LANDO\", 202], [\"LANDO\", 203], [\"LANDO\", 208], [\"LANDO\", 209], [\"LANDO\", 210], [\"LANDO\", 213], [\"LANDO\", 219], [\"LANDO\", 226], [\"LANDO\", 228], [\"LANDO\", 236], [\"LANDO\", 241], [\"LANDO\", 246], [\"LANDO\", 248], [\"LANDO\", 251], [\"LANDO\", 260], [\"LANDO\", 272], [\"LANDO\", 274]], \"fillcolor\": \"rgba(255,255,255,0)\", \"hoveron\": \"points\", \"hovertemplate\": \"<b> Scene Characters <b>=%{customdata[0]}<br>Scene Numbers=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"LANDO\", \"line\": {\"color\": \"rgba(255,255,255,0)\"}, \"marker\": {\"color\": \"#00cc96\"}, \"name\": \"LANDO\", \"offsetgroup\": \"LANDO\", \"orientation\": \"v\", \"pointpos\": 0, \"showlegend\": true, \"type\": \"box\", \"x\": [191, 193, 194, 201, 202, 203, 208, 209, 210, 213, 219, 226, 228, 236, 241, 246, 248, 251, 260, 272, 274], \"x0\": \" \", \"xaxis\": \"x\", \"y\": [\"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\", \"LANDO\"], \"y0\": \" \", \"yaxis\": \"y\"}],\n",
" {\"boxmode\": \"group\", \"height\": 800, \"legend\": {\"title\": {\"text\": \"<b> Scene Characters <b>\"}, \"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Appearances of characters ordered by their first appearance, in the Star-Wars-The-Empire-Strikes-Back movie <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Scene Numbers <b>\"}}, \"yaxis\": {\"anchor\": \"x\", \"categoryarray\": [\"LANDO\", \"INTERCOM VOICE\", \"COMMUNICATIONS OFFICER\", \"TRACKING OFFICER\", \"BOBA FETT\", \"BEN'S VOICE\", \"YODA\", \"EMPEROR\", \"NEEDA\", \"CREATURE\", \"IMPERIAL OFFICER\", \"JANSON\", \"WEDGE\", \"TRENCH OFFICER\", \"DACK\", \"VEERS\", \"CONTROLLER\", \"MEDICAL DROID\", \"OZZEL\", \"PIETT\", \"VADER\", \"SENIOR CONTROLLER\", \"ANNOUNCER\", \"ZEV\", \"BEN\", \"LIEUTENANT\", \"DERLIN\", \"DECK OFFICER\", \"THREEPIO\", \"RIEEKAN\", \"LEIA\", \"LUKE\", \"HAN\"], \"categoryorder\": \"array\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Scene Characters <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('99f36ee2-3022-435e-99d5-0faca2983bca');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_xter_app = dia.character_appearances(movie_characters)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Lets check the appearance of the top 3 characters across the Movie"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Movie Characters: \n",
" ['HAN', 'LUKE', 'LEIA', 'THREEPIO', 'LANDO', 'VADER', 'YODA', 'PIETT', 'CREATURE', 'RIEEKAN', 'BEN', 'WEDGE', 'DECK OFFICER', 'VEERS', 'ZEV', 'OZZEL', 'NEEDA', 'EMPEROR', 'DACK', 'JANSON', \"BEN'S VOICE\", 'BOBA FETT', 'DERLIN', 'ANNOUNCER', 'CONTROLLER', 'TRENCH OFFICER', 'LIEUTENANT', 'SENIOR CONTROLLER', 'MEDICAL DROID', 'IMPERIAL OFFICER', 'TRACKING OFFICER', 'COMMUNICATIONS OFFICER', 'INTERCOM VOICE']\n"
]
}
],
"source": [
"#Movie characters....\n",
"print('Movie Characters: \\n', movie_characters)"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
"df_1st_count, df_1st_dialogue = dia.xter_count_perscene(movie_characters[0])"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"marker": {
"color": "rgba(255, 153, 51, 0.6)",
"line": {
"color": "rgba(255, 153, 51, 1.0)",
"width": 1
}
},
"name": "HAN",
"orientation": "v",
"text": "",
"type": "bar",
"x": [
2,
4,
5,
6,
8,
9,
16,
20,
23,
24,
26,
30,
32,
84,
97,
105,
107,
108,
111,
112,
115,
121,
125,
128,
129,
133,
135,
137,
146,
148,
157,
158,
159,
160,
172,
179,
184,
187,
189,
192,
193,
198,
200,
201,
202,
208,
212
],
"y": [
2,
2,
7,
9,
10,
4,
6,
1,
8,
2,
3,
1,
2,
1,
4,
1,
1,
1,
2,
1,
3,
4,
4,
5,
3,
3,
2,
1,
6,
13,
4,
6,
2,
3,
6,
11,
5,
2,
1,
5,
3,
3,
3,
1,
1,
7,
5
]
}
],
"layout": {
"legend": {
"bgcolor": "#F5F6F9",
"font": {
"color": "#4D5663"
}
},
"paper_bgcolor": "#F5F6F9",
"plot_bgcolor": "#F5F6F9",
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Appearances of HAN dialogues per scene across Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"width": 1000,
"xaxis": {
"dtick": 10,
"gridcolor": "#E1E5ED",
"showgrid": true,
"tickfont": {
"color": "#4D5663"
},
"title": {
"text": "<b> Scenes <b>"
},
"zerolinecolor": "#E1E5ED"
},
"yaxis": {
"gridcolor": "#E1E5ED",
"showgrid": true,
"tickfont": {
"color": "#4D5663"
},
"title": {
"text": "<b> Amount of Dialogue <b>"
},
"zerolinecolor": "#E1E5ED"
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"26da6099-c51d-4142-a7d0-7b7e22c12bea\" class=\"plotly-graph-div\" style=\"height:525px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"26da6099-c51d-4142-a7d0-7b7e22c12bea\")) {\n",
" Plotly.newPlot(\n",
" '26da6099-c51d-4142-a7d0-7b7e22c12bea',\n",
" [{\"marker\": {\"color\": \"rgba(255, 153, 51, 0.6)\", \"line\": {\"color\": \"rgba(255, 153, 51, 1.0)\", \"width\": 1}}, \"name\": \"HAN\", \"orientation\": \"v\", \"text\": \"\", \"type\": \"bar\", \"x\": [2, 4, 5, 6, 8, 9, 16, 20, 23, 24, 26, 30, 32, 84, 97, 105, 107, 108, 111, 112, 115, 121, 125, 128, 129, 133, 135, 137, 146, 148, 157, 158, 159, 160, 172, 179, 184, 187, 189, 192, 193, 198, 200, 201, 202, 208, 212], \"y\": [2.0, 2.0, 7.0, 9.0, 10.0, 4.0, 6.0, 1.0, 8.0, 2.0, 3.0, 1.0, 2.0, 1.0, 4.0, 1.0, 1.0, 1.0, 2.0, 1.0, 3.0, 4.0, 4.0, 5.0, 3.0, 3.0, 2.0, 1.0, 6.0, 13.0, 4.0, 6.0, 2.0, 3.0, 6.0, 11.0, 5.0, 2.0, 1.0, 5.0, 3.0, 3.0, 3.0, 1.0, 1.0, 7.0, 5.0]}],\n",
" {\"legend\": {\"bgcolor\": \"#F5F6F9\", \"font\": {\"color\": \"#4D5663\"}}, \"paper_bgcolor\": \"#F5F6F9\", \"plot_bgcolor\": \"#F5F6F9\", \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Appearances of HAN dialogues per scene across Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"width\": 1000, \"xaxis\": {\"dtick\": 10, \"gridcolor\": \"#E1E5ED\", \"showgrid\": true, \"tickfont\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> Scenes <b>\"}, \"zerolinecolor\": \"#E1E5ED\"}, \"yaxis\": {\"gridcolor\": \"#E1E5ED\", \"showgrid\": true, \"tickfont\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> Amount of Dialogue <b>\"}, \"zerolinecolor\": \"#E1E5ED\"}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('26da6099-c51d-4142-a7d0-7b7e22c12bea');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dia.scene_dialogue_plot(df_1st_count)"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"marker": {
"color": "rgba(255, 153, 51, 0.6)",
"line": {
"color": "rgba(255, 153, 51, 1.0)",
"width": 1
}
},
"name": "LUKE",
"orientation": "v",
"text": "",
"type": "bar",
"x": [
2,
16,
23,
31,
32,
45,
50,
52,
54,
59,
61,
66,
67,
68,
82,
88,
90,
93,
94,
96,
117,
119,
140,
142,
143,
147,
154,
164,
175,
181,
196,
204,
222,
231,
234,
247,
256,
258,
261,
263,
271,
272,
274
],
"y": [
5,
7,
1,
2,
3,
2,
1,
2,
2,
3,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
2,
5,
3,
1,
8,
17,
7,
6,
6,
5,
9,
2,
2,
4,
3,
1,
1,
1,
1,
1,
1,
1,
3
]
}
],
"layout": {
"legend": {
"bgcolor": "#F5F6F9",
"font": {
"color": "#4D5663"
}
},
"paper_bgcolor": "#F5F6F9",
"plot_bgcolor": "#F5F6F9",
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Appearances of LUKE dialogues per scene across Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"width": 1000,
"xaxis": {
"dtick": 10,
"gridcolor": "#E1E5ED",
"showgrid": true,
"tickfont": {
"color": "#4D5663"
},
"title": {
"text": "<b> Scenes <b>"
},
"zerolinecolor": "#E1E5ED"
},
"yaxis": {
"gridcolor": "#E1E5ED",
"showgrid": true,
"tickfont": {
"color": "#4D5663"
},
"title": {
"text": "<b> Amount of Dialogue <b>"
},
"zerolinecolor": "#E1E5ED"
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"fc4653e4-835e-4fae-962e-37c74fa1d203\" class=\"plotly-graph-div\" style=\"height:525px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"fc4653e4-835e-4fae-962e-37c74fa1d203\")) {\n",
" Plotly.newPlot(\n",
" 'fc4653e4-835e-4fae-962e-37c74fa1d203',\n",
" [{\"marker\": {\"color\": \"rgba(255, 153, 51, 0.6)\", \"line\": {\"color\": \"rgba(255, 153, 51, 1.0)\", \"width\": 1}}, \"name\": \"LUKE\", \"orientation\": \"v\", \"text\": \"\", \"type\": \"bar\", \"x\": [2, 16, 23, 31, 32, 45, 50, 52, 54, 59, 61, 66, 67, 68, 82, 88, 90, 93, 94, 96, 117, 119, 140, 142, 143, 147, 154, 164, 175, 181, 196, 204, 222, 231, 234, 247, 256, 258, 261, 263, 271, 272, 274], \"y\": [5.0, 7.0, 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 2.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 5.0, 3.0, 1.0, 8.0, 17.0, 7.0, 6.0, 6.0, 5.0, 9.0, 2.0, 2.0, 4.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 3.0]}],\n",
" {\"legend\": {\"bgcolor\": \"#F5F6F9\", \"font\": {\"color\": \"#4D5663\"}}, \"paper_bgcolor\": \"#F5F6F9\", \"plot_bgcolor\": \"#F5F6F9\", \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Appearances of LUKE dialogues per scene across Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"width\": 1000, \"xaxis\": {\"dtick\": 10, \"gridcolor\": \"#E1E5ED\", \"showgrid\": true, \"tickfont\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> Scenes <b>\"}, \"zerolinecolor\": \"#E1E5ED\"}, \"yaxis\": {\"gridcolor\": \"#E1E5ED\", \"showgrid\": true, \"tickfont\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> Amount of Dialogue <b>\"}, \"zerolinecolor\": \"#E1E5ED\"}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('fc4653e4-835e-4fae-962e-37c74fa1d203');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_2nd_count, df_2nd_dialogue = dia.xter_count_perscene(movie_characters[1])\n",
"dia.scene_dialogue_plot(df_2nd_count)"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"marker": {
"color": "rgba(255, 153, 51, 0.6)",
"line": {
"color": "rgba(255, 153, 51, 1.0)",
"width": 1
}
},
"name": "LEIA",
"orientation": "v",
"text": "",
"type": "bar",
"x": [
5,
6,
23,
24,
26,
35,
83,
97,
111,
112,
115,
121,
125,
128,
129,
133,
135,
137,
146,
148,
157,
158,
159,
160,
172,
179,
184,
187,
191,
192,
198,
200,
201,
208,
212,
213,
218,
235,
240,
242,
245,
249,
250
],
"y": [
1,
9,
4,
1,
2,
3,
2,
4,
1,
1,
1,
1,
2,
1,
3,
2,
1,
1,
3,
9,
4,
3,
2,
3,
3,
9,
2,
1,
1,
1,
3,
5,
1,
6,
1,
1,
6,
3,
1,
1,
1,
1,
3
]
}
],
"layout": {
"legend": {
"bgcolor": "#F5F6F9",
"font": {
"color": "#4D5663"
}
},
"paper_bgcolor": "#F5F6F9",
"plot_bgcolor": "#F5F6F9",
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Appearances of LEIA dialogues per scene across Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"width": 1000,
"xaxis": {
"dtick": 10,
"gridcolor": "#E1E5ED",
"showgrid": true,
"tickfont": {
"color": "#4D5663"
},
"title": {
"text": "<b> Scenes <b>"
},
"zerolinecolor": "#E1E5ED"
},
"yaxis": {
"gridcolor": "#E1E5ED",
"showgrid": true,
"tickfont": {
"color": "#4D5663"
},
"title": {
"text": "<b> Amount of Dialogue <b>"
},
"zerolinecolor": "#E1E5ED"
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"f39ccf63-9220-4198-ae48-0588f242f81e\" class=\"plotly-graph-div\" style=\"height:525px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"f39ccf63-9220-4198-ae48-0588f242f81e\")) {\n",
" Plotly.newPlot(\n",
" 'f39ccf63-9220-4198-ae48-0588f242f81e',\n",
" [{\"marker\": {\"color\": \"rgba(255, 153, 51, 0.6)\", \"line\": {\"color\": \"rgba(255, 153, 51, 1.0)\", \"width\": 1}}, \"name\": \"LEIA\", \"orientation\": \"v\", \"text\": \"\", \"type\": \"bar\", \"x\": [5, 6, 23, 24, 26, 35, 83, 97, 111, 112, 115, 121, 125, 128, 129, 133, 135, 137, 146, 148, 157, 158, 159, 160, 172, 179, 184, 187, 191, 192, 198, 200, 201, 208, 212, 213, 218, 235, 240, 242, 245, 249, 250], \"y\": [1.0, 9.0, 4.0, 1.0, 2.0, 3.0, 2.0, 4.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 3.0, 2.0, 1.0, 1.0, 3.0, 9.0, 4.0, 3.0, 2.0, 3.0, 3.0, 9.0, 2.0, 1.0, 1.0, 1.0, 3.0, 5.0, 1.0, 6.0, 1.0, 1.0, 6.0, 3.0, 1.0, 1.0, 1.0, 1.0, 3.0]}],\n",
" {\"legend\": {\"bgcolor\": \"#F5F6F9\", \"font\": {\"color\": \"#4D5663\"}}, \"paper_bgcolor\": \"#F5F6F9\", \"plot_bgcolor\": \"#F5F6F9\", \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Appearances of LEIA dialogues per scene across Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"width\": 1000, \"xaxis\": {\"dtick\": 10, \"gridcolor\": \"#E1E5ED\", \"showgrid\": true, \"tickfont\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> Scenes <b>\"}, \"zerolinecolor\": \"#E1E5ED\"}, \"yaxis\": {\"gridcolor\": \"#E1E5ED\", \"showgrid\": true, \"tickfont\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> Amount of Dialogue <b>\"}, \"zerolinecolor\": \"#E1E5ED\"}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('f39ccf63-9220-4198-ae48-0588f242f81e');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_third_count, df_third_dialogue = dia.xter_count_perscene(movie_characters[2])\n",
"dia.scene_dialogue_plot(df_third_count)"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"marker": {
"color": "rgba(255, 153, 51, 0.6)",
"line": {
"color": "rgba(255, 153, 51, 1.0)",
"width": 1
}
},
"name": "LUKE",
"orientation": "v",
"text": "",
"type": "bar",
"x": [
2,
16,
23,
32
],
"y": [
5,
7,
1,
3
]
},
{
"marker": {
"color": "rgba(55, 128, 191, 0.6)",
"line": {
"color": "rgba(55, 128, 191, 1.0)",
"width": 1
}
},
"name": "HAN",
"orientation": "v",
"text": "",
"type": "bar",
"x": [
2,
16,
23,
32
],
"y": [
2,
6,
8,
2
]
}
],
"layout": {
"legend": {
"bgcolor": "#F5F6F9",
"font": {
"color": "#4D5663"
}
},
"paper_bgcolor": "#F5F6F9",
"plot_bgcolor": "#F5F6F9",
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Appearances of LUKE and HAN dialogues per scene across Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"width": 1000,
"xaxis": {
"dtick": 10,
"gridcolor": "#E1E5ED",
"showgrid": true,
"tickfont": {
"color": "#4D5663"
},
"title": {
"text": "<b> Scenes <b>"
},
"zerolinecolor": "#E1E5ED"
},
"yaxis": {
"gridcolor": "#E1E5ED",
"showgrid": true,
"tickfont": {
"color": "#4D5663"
},
"title": {
"text": "<b> Amount of Dialogue <b>"
},
"zerolinecolor": "#E1E5ED"
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"d8de9a51-960c-4abe-8335-7fb1600a5830\" class=\"plotly-graph-div\" style=\"height:525px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"d8de9a51-960c-4abe-8335-7fb1600a5830\")) {\n",
" Plotly.newPlot(\n",
" 'd8de9a51-960c-4abe-8335-7fb1600a5830',\n",
" [{\"marker\": {\"color\": \"rgba(255, 153, 51, 0.6)\", \"line\": {\"color\": \"rgba(255, 153, 51, 1.0)\", \"width\": 1}}, \"name\": \"LUKE\", \"orientation\": \"v\", \"text\": \"\", \"type\": \"bar\", \"x\": [2, 16, 23, 32], \"y\": [5.0, 7.0, 1.0, 3.0]}, {\"marker\": {\"color\": \"rgba(55, 128, 191, 0.6)\", \"line\": {\"color\": \"rgba(55, 128, 191, 1.0)\", \"width\": 1}}, \"name\": \"HAN\", \"orientation\": \"v\", \"text\": \"\", \"type\": \"bar\", \"x\": [2, 16, 23, 32], \"y\": [2.0, 6.0, 8.0, 2.0]}],\n",
" {\"legend\": {\"bgcolor\": \"#F5F6F9\", \"font\": {\"color\": \"#4D5663\"}}, \"paper_bgcolor\": \"#F5F6F9\", \"plot_bgcolor\": \"#F5F6F9\", \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Appearances of LUKE and HAN dialogues per scene across Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"width\": 1000, \"xaxis\": {\"dtick\": 10, \"gridcolor\": \"#E1E5ED\", \"showgrid\": true, \"tickfont\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> Scenes <b>\"}, \"zerolinecolor\": \"#E1E5ED\"}, \"yaxis\": {\"gridcolor\": \"#E1E5ED\", \"showgrid\": true, \"tickfont\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> Amount of Dialogue <b>\"}, \"zerolinecolor\": \"#E1E5ED\"}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('d8de9a51-960c-4abe-8335-7fb1600a5830');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_2_count, df_2_dialogue = dia.xter_count_perscene(movie_characters[:2])\n",
"dia.scene_dialogue_plot(df_2_count)"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"# df_3_count, df_3_dialogue = dia.xter_count_perscene(movie_characters[1:3])\n",
"# dia.scene_dialogue_plot(df_3_count)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3. Character Interaction Mapping"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"interact = interaction(df_film, film)"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"graph_list = interact.character_interaction()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Note the Net.MultiGraph code below will throw an error, BUT this does not stop it from displaying the Character Network Multigraph figure, \n",
"\n",
"#### To run it, remove the hashtags i.e. comment it out"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [],
"source": [
"# G = net.MultiGraph()\n",
"# for scene in graph_list:\n",
"# nodes = list(itertools.combinations(scene,2))\n",
"# for pair in nodes:\n",
"# G.add_edges_from([pair])\n",
"# page_ranked_nodes = net.pagerank_numpy(G,0.95)\n",
"# net.enumerate_all_cliques(G)\n",
"# between_nodes = net.betweenness_centrality(G, normalized=True, endpoints=True)"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x1440 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"interact.character_interaction_plot(G, page_ranked_nodes)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Let break it down to the Top 10 Characters"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"#Remember to Re-run the above multigraph code aafter running this code line\n",
"graph_list = interact.top10_character_interaction(movie_characters[:10])"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x1440 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"interact.character_interaction_plot(G, page_ranked_nodes)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 4. Characters mentioned the most in Scene Dialogues (Most-talked about characters in the movie.......) and who each character mention the most in their specific dialogue"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [
"xtr = character_mentions(df_film, movie_characters, film)"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"alignmentgroup": "True",
"customdata": [
[
"Janson",
1
],
[
"Zev",
1
],
[
"Deck Officer",
2
],
[
"Creature",
2
],
[
"Ozzel",
3
],
[
"Veers",
3
],
[
"Boba Fett",
4
],
[
"Rieekan",
4
],
[
"Needa",
5
],
[
"Wedge",
6
],
[
"Piett",
8
],
[
"Emperor",
9
],
[
"Dack",
10
],
[
"Ben",
20
],
[
"Yoda",
29
],
[
"Threepio",
43
],
[
"Lando",
58
],
[
"Vader",
68
],
[
"Leia",
87
],
[
"Han",
124
],
[
"Luke",
159
]
],
"hovertemplate": "<b> Number of Mentions <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>",
"legendgroup": "",
"marker": {
"color": [
1,
1,
2,
2,
3,
3,
4,
4,
5,
6,
8,
9,
10,
20,
29,
43,
58,
68,
87,
124,
159
],
"coloraxis": "coloraxis"
},
"name": "",
"offsetgroup": "",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
1,
1,
2,
2,
3,
3,
4,
4,
5,
6,
8,
9,
10,
20,
29,
43,
58,
68,
87,
124,
159
],
"xaxis": "x",
"y": [
"Janson",
"Zev",
"Deck Officer",
"Creature",
"Ozzel",
"Veers",
"Boba Fett",
"Rieekan",
"Needa",
"Wedge",
"Piett",
"Emperor",
"Dack",
"Ben",
"Yoda",
"Threepio",
"Lando",
"Vader",
"Leia",
"Han",
"Luke"
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"coloraxis": {
"colorbar": {
"title": {
"text": "<b> Number of Mentions <b>"
}
},
"colorscale": [
[
0,
"#313131"
],
[
0.0625,
"#3d019d"
],
[
0.125,
"#3810dc"
],
[
0.1875,
"#2d47f9"
],
[
0.25,
"#2593ff"
],
[
0.3125,
"#2adef6"
],
[
0.375,
"#60fdfa"
],
[
0.4375,
"#aefdff"
],
[
0.5,
"#f3f3f1"
],
[
0.5625,
"#fffda9"
],
[
0.625,
"#fafd5b"
],
[
0.6875,
"#f7da29"
],
[
0.75,
"#ff8e25"
],
[
0.8125,
"#f8432d"
],
[
0.875,
"#d90d39"
],
[
0.9375,
"#97023d"
],
[
1,
"#313131"
]
]
},
"height": 800,
"legend": {
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Most mentioned characters in the Star-Wars-The-Empire-Strikes-Back movie based on the scene dialogues<b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "<b> Number of Mentions <b>"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "<b> Characters <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"f7ecbb5e-9567-46e4-9aa3-9e2347243b86\" class=\"plotly-graph-div\" style=\"height:800px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"f7ecbb5e-9567-46e4-9aa3-9e2347243b86\")) {\n",
" Plotly.newPlot(\n",
" 'f7ecbb5e-9567-46e4-9aa3-9e2347243b86',\n",
" [{\"alignmentgroup\": \"True\", \"customdata\": [[\"Janson\", 1], [\"Zev\", 1], [\"Deck Officer\", 2], [\"Creature\", 2], [\"Ozzel\", 3], [\"Veers\", 3], [\"Boba Fett\", 4], [\"Rieekan\", 4], [\"Needa\", 5], [\"Wedge\", 6], [\"Piett\", 8], [\"Emperor\", 9], [\"Dack\", 10], [\"Ben\", 20], [\"Yoda\", 29], [\"Threepio\", 43], [\"Lando\", 58], [\"Vader\", 68], [\"Leia\", 87], [\"Han\", 124], [\"Luke\", 159]], \"hovertemplate\": \"<b> Number of Mentions <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": [1, 1, 2, 2, 3, 3, 4, 4, 5, 6, 8, 9, 10, 20, 29, 43, 58, 68, 87, 124, 159], \"coloraxis\": \"coloraxis\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"h\", \"showlegend\": false, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [1, 1, 2, 2, 3, 3, 4, 4, 5, 6, 8, 9, 10, 20, 29, 43, 58, 68, 87, 124, 159], \"xaxis\": \"x\", \"y\": [\"Janson\", \"Zev\", \"Deck Officer\", \"Creature\", \"Ozzel\", \"Veers\", \"Boba Fett\", \"Rieekan\", \"Needa\", \"Wedge\", \"Piett\", \"Emperor\", \"Dack\", \"Ben\", \"Yoda\", \"Threepio\", \"Lando\", \"Vader\", \"Leia\", \"Han\", \"Luke\"], \"yaxis\": \"y\"}],\n",
" {\"barmode\": \"relative\", \"coloraxis\": {\"colorbar\": {\"title\": {\"text\": \"<b> Number of Mentions <b>\"}}, \"colorscale\": [[0.0, \"#313131\"], [0.0625, \"#3d019d\"], [0.125, \"#3810dc\"], [0.1875, \"#2d47f9\"], [0.25, \"#2593ff\"], [0.3125, \"#2adef6\"], [0.375, \"#60fdfa\"], [0.4375, \"#aefdff\"], [0.5, \"#f3f3f1\"], [0.5625, \"#fffda9\"], [0.625, \"#fafd5b\"], [0.6875, \"#f7da29\"], [0.75, \"#ff8e25\"], [0.8125, \"#f8432d\"], [0.875, \"#d90d39\"], [0.9375, \"#97023d\"], [1.0, \"#313131\"]]}, \"height\": 800, \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Most mentioned characters in the Star-Wars-The-Empire-Strikes-Back movie based on the scene dialogues<b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Number of Mentions <b>\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Characters <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('f7ecbb5e-9567-46e4-9aa3-9e2347243b86');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"xter_mentions = xtr.most_mentioned()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Lets the check the appearance of the 3 most mentioned characters in the Movie"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"marker": {
"color": "rgba(255, 153, 51, 0.6)",
"line": {
"color": "rgba(255, 153, 51, 1.0)",
"width": 1
}
},
"name": "Luke",
"orientation": "v",
"text": "",
"type": "bar",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"y": [
"",
"",
4,
"",
"",
"",
"",
"",
2,
"",
"",
"",
"",
1,
"",
1,
14,
"",
"",
"",
"",
"",
"",
7,
1,
"",
"",
"",
"",
"",
"",
"",
4,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
1,
"",
"",
"",
"",
"",
"",
1,
"",
"",
"",
"",
"",
"",
4,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
2,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
3,
"",
3,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
1,
7,
"",
"",
"",
15,
"",
"",
"",
"",
1,
"",
8,
"",
"",
"",
"",
"",
"",
"",
"",
"",
5,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
13,
"",
"",
"",
"",
"",
3,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
7,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
1,
"",
"",
"",
"",
3,
"",
"",
"",
3,
"",
"",
"",
"",
18,
"",
"",
"",
"",
"",
"",
"",
"",
12,
"",
"",
1,
2,
"",
"",
"",
"",
1,
"",
1,
"",
"",
"",
"",
1,
"",
"",
"",
"",
"",
"",
"",
1,
"",
"",
"",
"",
"",
"",
1,
"",
"",
"",
"",
"",
"",
"",
"",
1,
"",
"",
5,
"",
""
]
},
{
"marker": {
"color": "rgba(55, 128, 191, 0.6)",
"line": {
"color": "rgba(55, 128, 191, 1.0)",
"width": 1
}
},
"name": "Han",
"orientation": "v",
"text": "",
"type": "bar",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"y": [
"",
"",
1,
"",
1,
3,
4,
"",
4,
2,
"",
"",
"",
"",
"",
"",
9,
"",
"",
"",
"",
"",
"",
5,
"",
"",
"",
"",
"",
"",
1,
"",
2,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
1,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
3,
"",
"",
"",
"",
"",
"",
"",
1,
"",
1,
"",
"",
"",
1,
2,
"",
"",
2,
"",
"",
"",
"",
"",
"",
"",
"",
"",
2,
"",
"",
3,
2,
"",
"",
"",
"",
"",
1,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
5,
"",
9,
"",
"",
"",
"",
"",
"",
"",
"",
1,
5,
2,
1,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
3,
"",
"",
"",
"",
"",
"",
2,
"",
1,
"",
"",
2,
"",
"",
"",
"",
1,
2,
"",
3,
3,
"",
"",
2,
"",
2,
"",
3,
"",
1,
"",
"",
"",
"",
2,
10,
"",
"",
"",
7,
"",
"",
"",
"",
"",
3,
"",
1,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
1,
1,
"",
""
]
},
{
"marker": {
"color": "rgba(50, 171, 96, 0.6)",
"line": {
"color": "rgba(50, 171, 96, 1.0)",
"width": 1
}
},
"name": "Leia",
"orientation": "v",
"text": "",
"type": "bar",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"y": [
"",
"",
"",
"",
"",
4,
3,
"",
3,
"",
"",
"",
"",
"",
"",
3,
"",
"",
"",
"",
"",
"",
"",
4,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
3,
"",
"",
"",
"",
"",
"",
"",
1,
"",
"",
"",
"",
"",
"",
2,
"",
"",
1,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
2,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
6,
"",
6,
"",
"",
"",
"",
"",
"",
"",
"",
2,
2,
2,
1,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
3,
"",
1,
"",
"",
2,
"",
"",
"",
"",
"",
"",
"",
7,
"",
"",
"",
2,
"",
1,
"",
3,
"",
"",
"",
"",
"",
"",
1,
4,
"",
"",
"",
5,
"",
"",
"",
"",
"",
"",
"",
"",
1,
"",
"",
"",
1,
1,
2,
"",
"",
"",
"",
"",
"",
2,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
2,
"",
"",
1,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
3,
"",
""
]
}
],
"layout": {
"legend": {
"bgcolor": "#F5F6F9",
"font": {
"color": "#4D5663"
},
"title": {
"text": "<b> 3 Most-talked about Xters <b>"
}
},
"paper_bgcolor": "#F5F6F9",
"plot_bgcolor": "#F5F6F9",
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Appearance of the 3 most-mentioned characters in Scene Dialogues across Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"width": 1000,
"xaxis": {
"dtick": 10,
"gridcolor": "#E1E5ED",
"showgrid": true,
"tickfont": {
"color": "#4D5663"
},
"title": {
"text": "<b> Scenes <b>"
},
"zerolinecolor": "#E1E5ED"
},
"yaxis": {
"gridcolor": "#E1E5ED",
"showgrid": true,
"tickfont": {
"color": "#4D5663"
},
"title": {
"text": "<b> Number of mentions <b>"
},
"zerolinecolor": "#E1E5ED"
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"8add2c2c-9da1-4540-9951-77a8e893f066\" class=\"plotly-graph-div\" style=\"height:525px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"8add2c2c-9da1-4540-9951-77a8e893f066\")) {\n",
" Plotly.newPlot(\n",
" '8add2c2c-9da1-4540-9951-77a8e893f066',\n",
" [{\"marker\": {\"color\": \"rgba(255, 153, 51, 0.6)\", \"line\": {\"color\": \"rgba(255, 153, 51, 1.0)\", \"width\": 1}}, \"name\": \"Luke\", \"orientation\": \"v\", \"text\": \"\", \"type\": \"bar\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"y\": [\"\", \"\", 4.0, \"\", \"\", \"\", \"\", \"\", 2.0, \"\", \"\", \"\", \"\", 1.0, \"\", 1.0, 14.0, \"\", \"\", \"\", \"\", \"\", \"\", 7.0, 1.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", 4.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", 4.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 2.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 3.0, \"\", 3.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, 7.0, \"\", \"\", \"\", 15.0, \"\", \"\", \"\", \"\", 1.0, \"\", 8.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 5.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 13.0, \"\", \"\", \"\", \"\", \"\", 3.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 7.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", \"\", \"\", \"\", 3.0, \"\", \"\", \"\", 3.0, \"\", \"\", \"\", \"\", 18.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 12.0, \"\", \"\", 1.0, 2.0, \"\", \"\", \"\", \"\", 1.0, \"\", 1.0, \"\", \"\", \"\", \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", \"\", 5.0, \"\", \"\"]}, {\"marker\": {\"color\": \"rgba(55, 128, 191, 0.6)\", \"line\": {\"color\": \"rgba(55, 128, 191, 1.0)\", \"width\": 1}}, \"name\": \"Han\", \"orientation\": \"v\", \"text\": \"\", \"type\": \"bar\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"y\": [\"\", \"\", 1.0, \"\", 1.0, 3.0, 4.0, \"\", 4.0, 2.0, \"\", \"\", \"\", \"\", \"\", \"\", 9.0, \"\", \"\", \"\", \"\", \"\", \"\", 5.0, \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", 2.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 3.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", 1.0, \"\", \"\", \"\", 1.0, 2.0, \"\", \"\", 2.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 2.0, \"\", \"\", 3.0, 2.0, \"\", \"\", \"\", \"\", \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 5.0, \"\", 9.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, 5.0, 2.0, 1.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 3.0, \"\", \"\", \"\", \"\", \"\", \"\", 2.0, \"\", 1.0, \"\", \"\", 2.0, \"\", \"\", \"\", \"\", 1.0, 2.0, \"\", 3.0, 3.0, \"\", \"\", 2.0, \"\", 2.0, \"\", 3.0, \"\", 1.0, \"\", \"\", \"\", \"\", 2.0, 10.0, \"\", \"\", \"\", 7.0, \"\", \"\", \"\", \"\", \"\", 3.0, \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, 1.0, \"\", \"\"]}, {\"marker\": {\"color\": \"rgba(50, 171, 96, 0.6)\", \"line\": {\"color\": \"rgba(50, 171, 96, 1.0)\", \"width\": 1}}, \"name\": \"Leia\", \"orientation\": \"v\", \"text\": \"\", \"type\": \"bar\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"y\": [\"\", \"\", \"\", \"\", \"\", 4.0, 3.0, \"\", 3.0, \"\", \"\", \"\", \"\", \"\", \"\", 3.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", 4.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 3.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", 2.0, \"\", \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 2.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 6.0, \"\", 6.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 2.0, 2.0, 2.0, 1.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 3.0, \"\", 1.0, \"\", \"\", 2.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", 7.0, \"\", \"\", \"\", 2.0, \"\", 1.0, \"\", 3.0, \"\", \"\", \"\", \"\", \"\", \"\", 1.0, 4.0, \"\", \"\", \"\", 5.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 1.0, \"\", \"\", \"\", 1.0, 1.0, 2.0, \"\", \"\", \"\", \"\", \"\", \"\", 2.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 2.0, \"\", \"\", 1.0, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", 3.0, \"\", \"\"]}],\n",
" {\"legend\": {\"bgcolor\": \"#F5F6F9\", \"font\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> 3 Most-talked about Xters <b>\"}}, \"paper_bgcolor\": \"#F5F6F9\", \"plot_bgcolor\": \"#F5F6F9\", \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Appearance of the 3 most-mentioned characters in Scene Dialogues across Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"width\": 1000, \"xaxis\": {\"dtick\": 10, \"gridcolor\": \"#E1E5ED\", \"showgrid\": true, \"tickfont\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> Scenes <b>\"}, \"zerolinecolor\": \"#E1E5ED\"}, \"yaxis\": {\"gridcolor\": \"#E1E5ED\", \"showgrid\": true, \"tickfont\": {\"color\": \"#4D5663\"}, \"title\": {\"text\": \"<b> Number of mentions <b>\"}, \"zerolinecolor\": \"#E1E5ED\"}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('8add2c2c-9da1-4540-9951-77a8e893f066');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"xtr.top_xters_mentions(xter_mentions, 3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Lets check who specific characters mention the most in their dialogues in the movie"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['HAN', 'LUKE', 'LEIA', 'THREEPIO', 'LANDO', 'VADER', 'YODA', 'PIETT', 'CREATURE', 'RIEEKAN', 'BEN', 'WEDGE', 'DECK OFFICER', 'VEERS', 'ZEV', 'OZZEL', 'NEEDA', 'EMPEROR', 'DACK', 'JANSON', \"BEN'S VOICE\", 'BOBA FETT', 'DERLIN', 'ANNOUNCER', 'CONTROLLER', 'TRENCH OFFICER', 'LIEUTENANT', 'SENIOR CONTROLLER', 'MEDICAL DROID', 'IMPERIAL OFFICER', 'TRACKING OFFICER', 'COMMUNICATIONS OFFICER', 'INTERCOM VOICE']\n"
]
}
],
"source": [
"print(movie_characters)"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"alignmentgroup": "True",
"customdata": [
[
"Rieekan",
1
],
[
"Zev",
1
],
[
"Deck Officer",
2
],
[
"Threepio",
9
],
[
"Luke",
13
],
[
"Lando",
21
],
[
"Leia",
41
]
],
"hovertemplate": "<b> Number of Mentions <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>",
"legendgroup": "",
"marker": {
"color": [
1,
1,
2,
9,
13,
21,
41
],
"coloraxis": "coloraxis"
},
"name": "",
"offsetgroup": "",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
1,
1,
2,
9,
13,
21,
41
],
"xaxis": "x",
"y": [
"Rieekan",
"Zev",
"Deck Officer",
"Threepio",
"Luke",
"Lando",
"Leia"
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"coloraxis": {
"colorbar": {
"title": {
"text": "<b> Number of Mentions <b>"
}
},
"colorscale": [
[
0,
"#313131"
],
[
0.0625,
"#3d019d"
],
[
0.125,
"#3810dc"
],
[
0.1875,
"#2d47f9"
],
[
0.25,
"#2593ff"
],
[
0.3125,
"#2adef6"
],
[
0.375,
"#60fdfa"
],
[
0.4375,
"#aefdff"
],
[
0.5,
"#f3f3f1"
],
[
0.5625,
"#fffda9"
],
[
0.625,
"#fafd5b"
],
[
0.6875,
"#f7da29"
],
[
0.75,
"#ff8e25"
],
[
0.8125,
"#f8432d"
],
[
0.875,
"#d90d39"
],
[
0.9375,
"#97023d"
],
[
1,
"#313131"
]
]
},
"height": 600,
"legend": {
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Characters that HAN mentioned / talked-about the most in the Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"width": 900,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "<b> Number of Mentions <b>"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "<b> Characters <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"b59d4ea5-7ab2-4ad4-99f9-b4c21da2faac\" class=\"plotly-graph-div\" style=\"height:600px; width:900px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"b59d4ea5-7ab2-4ad4-99f9-b4c21da2faac\")) {\n",
" Plotly.newPlot(\n",
" 'b59d4ea5-7ab2-4ad4-99f9-b4c21da2faac',\n",
" [{\"alignmentgroup\": \"True\", \"customdata\": [[\"Rieekan\", 1], [\"Zev\", 1], [\"Deck Officer\", 2], [\"Threepio\", 9], [\"Luke\", 13], [\"Lando\", 21], [\"Leia\", 41]], \"hovertemplate\": \"<b> Number of Mentions <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": [1, 1, 2, 9, 13, 21, 41], \"coloraxis\": \"coloraxis\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"h\", \"showlegend\": false, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [1, 1, 2, 9, 13, 21, 41], \"xaxis\": \"x\", \"y\": [\"Rieekan\", \"Zev\", \"Deck Officer\", \"Threepio\", \"Luke\", \"Lando\", \"Leia\"], \"yaxis\": \"y\"}],\n",
" {\"barmode\": \"relative\", \"coloraxis\": {\"colorbar\": {\"title\": {\"text\": \"<b> Number of Mentions <b>\"}}, \"colorscale\": [[0.0, \"#313131\"], [0.0625, \"#3d019d\"], [0.125, \"#3810dc\"], [0.1875, \"#2d47f9\"], [0.25, \"#2593ff\"], [0.3125, \"#2adef6\"], [0.375, \"#60fdfa\"], [0.4375, \"#aefdff\"], [0.5, \"#f3f3f1\"], [0.5625, \"#fffda9\"], [0.625, \"#fafd5b\"], [0.6875, \"#f7da29\"], [0.75, \"#ff8e25\"], [0.8125, \"#f8432d\"], [0.875, \"#d90d39\"], [0.9375, \"#97023d\"], [1.0, \"#313131\"]]}, \"height\": 600, \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Characters that HAN mentioned / talked-about the most in the Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"width\": 900, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Number of Mentions <b>\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Characters <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('b59d4ea5-7ab2-4ad4-99f9-b4c21da2faac');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_hn = xtr.talk_about_xters(df_film_dialogue, 'HAN')"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"alignmentgroup": "True",
"customdata": [
[
"Lando",
1
],
[
"Creature",
2
],
[
"Threepio",
2
],
[
"Wedge",
3
],
[
"Vader",
8
],
[
"Dack",
9
],
[
"Leia",
9
],
[
"Han",
12
],
[
"Yoda",
14
],
[
"Ben",
15
]
],
"hovertemplate": "<b> Number of Mentions <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>",
"legendgroup": "",
"marker": {
"color": [
1,
2,
2,
3,
8,
9,
9,
12,
14,
15
],
"coloraxis": "coloraxis"
},
"name": "",
"offsetgroup": "",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
1,
2,
2,
3,
8,
9,
9,
12,
14,
15
],
"xaxis": "x",
"y": [
"Lando",
"Creature",
"Threepio",
"Wedge",
"Vader",
"Dack",
"Leia",
"Han",
"Yoda",
"Ben"
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"coloraxis": {
"colorbar": {
"title": {
"text": "<b> Number of Mentions <b>"
}
},
"colorscale": [
[
0,
"#313131"
],
[
0.0625,
"#3d019d"
],
[
0.125,
"#3810dc"
],
[
0.1875,
"#2d47f9"
],
[
0.25,
"#2593ff"
],
[
0.3125,
"#2adef6"
],
[
0.375,
"#60fdfa"
],
[
0.4375,
"#aefdff"
],
[
0.5,
"#f3f3f1"
],
[
0.5625,
"#fffda9"
],
[
0.625,
"#fafd5b"
],
[
0.6875,
"#f7da29"
],
[
0.75,
"#ff8e25"
],
[
0.8125,
"#f8432d"
],
[
0.875,
"#d90d39"
],
[
0.9375,
"#97023d"
],
[
1,
"#313131"
]
]
},
"height": 600,
"legend": {
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Characters that LUKE mentioned / talked-about the most in the Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"width": 900,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "<b> Number of Mentions <b>"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "<b> Characters <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"1ce5a04e-211f-4b57-8679-7114f6b6b0b5\" class=\"plotly-graph-div\" style=\"height:600px; width:900px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"1ce5a04e-211f-4b57-8679-7114f6b6b0b5\")) {\n",
" Plotly.newPlot(\n",
" '1ce5a04e-211f-4b57-8679-7114f6b6b0b5',\n",
" [{\"alignmentgroup\": \"True\", \"customdata\": [[\"Lando\", 1], [\"Creature\", 2], [\"Threepio\", 2], [\"Wedge\", 3], [\"Vader\", 8], [\"Dack\", 9], [\"Leia\", 9], [\"Han\", 12], [\"Yoda\", 14], [\"Ben\", 15]], \"hovertemplate\": \"<b> Number of Mentions <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": [1, 2, 2, 3, 8, 9, 9, 12, 14, 15], \"coloraxis\": \"coloraxis\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"h\", \"showlegend\": false, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [1, 2, 2, 3, 8, 9, 9, 12, 14, 15], \"xaxis\": \"x\", \"y\": [\"Lando\", \"Creature\", \"Threepio\", \"Wedge\", \"Vader\", \"Dack\", \"Leia\", \"Han\", \"Yoda\", \"Ben\"], \"yaxis\": \"y\"}],\n",
" {\"barmode\": \"relative\", \"coloraxis\": {\"colorbar\": {\"title\": {\"text\": \"<b> Number of Mentions <b>\"}}, \"colorscale\": [[0.0, \"#313131\"], [0.0625, \"#3d019d\"], [0.125, \"#3810dc\"], [0.1875, \"#2d47f9\"], [0.25, \"#2593ff\"], [0.3125, \"#2adef6\"], [0.375, \"#60fdfa\"], [0.4375, \"#aefdff\"], [0.5, \"#f3f3f1\"], [0.5625, \"#fffda9\"], [0.625, \"#fafd5b\"], [0.6875, \"#f7da29\"], [0.75, \"#ff8e25\"], [0.8125, \"#f8432d\"], [0.875, \"#d90d39\"], [0.9375, \"#97023d\"], [1.0, \"#313131\"]]}, \"height\": 600, \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Characters that LUKE mentioned / talked-about the most in the Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"width\": 900, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Number of Mentions <b>\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Characters <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('1ce5a04e-211f-4b57-8679-7114f6b6b0b5');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_lk = xtr.talk_about_xters(df_film_dialogue, 'LUKE')"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"alignmentgroup": "True",
"customdata": [
[
"Rieekan",
1
],
[
"Vader",
1
],
[
"Threepio",
4
],
[
"Lando",
9
],
[
"Luke",
10
],
[
"Han",
22
]
],
"hovertemplate": "<b> Number of Mentions <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>",
"legendgroup": "",
"marker": {
"color": [
1,
1,
4,
9,
10,
22
],
"coloraxis": "coloraxis"
},
"name": "",
"offsetgroup": "",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
1,
1,
4,
9,
10,
22
],
"xaxis": "x",
"y": [
"Rieekan",
"Vader",
"Threepio",
"Lando",
"Luke",
"Han"
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"coloraxis": {
"colorbar": {
"title": {
"text": "<b> Number of Mentions <b>"
}
},
"colorscale": [
[
0,
"#313131"
],
[
0.0625,
"#3d019d"
],
[
0.125,
"#3810dc"
],
[
0.1875,
"#2d47f9"
],
[
0.25,
"#2593ff"
],
[
0.3125,
"#2adef6"
],
[
0.375,
"#60fdfa"
],
[
0.4375,
"#aefdff"
],
[
0.5,
"#f3f3f1"
],
[
0.5625,
"#fffda9"
],
[
0.625,
"#fafd5b"
],
[
0.6875,
"#f7da29"
],
[
0.75,
"#ff8e25"
],
[
0.8125,
"#f8432d"
],
[
0.875,
"#d90d39"
],
[
0.9375,
"#97023d"
],
[
1,
"#313131"
]
]
},
"height": 600,
"legend": {
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Characters that LEIA mentioned / talked-about the most in the Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"width": 900,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "<b> Number of Mentions <b>"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "<b> Characters <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"f7d4e506-ffc6-4153-9ff9-9f7c42306c29\" class=\"plotly-graph-div\" style=\"height:600px; width:900px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"f7d4e506-ffc6-4153-9ff9-9f7c42306c29\")) {\n",
" Plotly.newPlot(\n",
" 'f7d4e506-ffc6-4153-9ff9-9f7c42306c29',\n",
" [{\"alignmentgroup\": \"True\", \"customdata\": [[\"Rieekan\", 1], [\"Vader\", 1], [\"Threepio\", 4], [\"Lando\", 9], [\"Luke\", 10], [\"Han\", 22]], \"hovertemplate\": \"<b> Number of Mentions <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": [1, 1, 4, 9, 10, 22], \"coloraxis\": \"coloraxis\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"h\", \"showlegend\": false, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [1, 1, 4, 9, 10, 22], \"xaxis\": \"x\", \"y\": [\"Rieekan\", \"Vader\", \"Threepio\", \"Lando\", \"Luke\", \"Han\"], \"yaxis\": \"y\"}],\n",
" {\"barmode\": \"relative\", \"coloraxis\": {\"colorbar\": {\"title\": {\"text\": \"<b> Number of Mentions <b>\"}}, \"colorscale\": [[0.0, \"#313131\"], [0.0625, \"#3d019d\"], [0.125, \"#3810dc\"], [0.1875, \"#2d47f9\"], [0.25, \"#2593ff\"], [0.3125, \"#2adef6\"], [0.375, \"#60fdfa\"], [0.4375, \"#aefdff\"], [0.5, \"#f3f3f1\"], [0.5625, \"#fffda9\"], [0.625, \"#fafd5b\"], [0.6875, \"#f7da29\"], [0.75, \"#ff8e25\"], [0.8125, \"#f8432d\"], [0.875, \"#d90d39\"], [0.9375, \"#97023d\"], [1.0, \"#313131\"]]}, \"height\": 600, \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Characters that LEIA mentioned / talked-about the most in the Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"width\": 900, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Number of Mentions <b>\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Characters <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('f7d4e506-ffc6-4153-9ff9-9f7c42306c29');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_lei = xtr.talk_about_xters(df_film_dialogue, 'LEIA')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Lets check who specific characters talk with the most in the movie"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"alignmentgroup": "True",
"customdata": [
[
"BEN",
1
],
[
"ZEV",
1
],
[
"BOBA FETT",
1
],
[
"SENIOR CONTROLLER",
1
],
[
"IMPERIAL OFFICER",
1
],
[
"INTERCOM VOICE",
1
],
[
"VADER",
2
],
[
"DECK OFFICER",
2
],
[
"ANNOUNCER",
2
],
[
"CONTROLLER",
2
],
[
"RIEEKAN",
3
],
[
"LUKE",
4
],
[
"LANDO",
7
],
[
"THREEPIO",
27
],
[
"LEIA",
32
]
],
"hovertemplate": "<b> Counts <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>",
"legendgroup": "",
"marker": {
"color": [
1,
1,
1,
1,
1,
1,
2,
2,
2,
2,
3,
4,
7,
27,
32
],
"coloraxis": "coloraxis"
},
"name": "",
"offsetgroup": "",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
1,
1,
1,
1,
1,
1,
2,
2,
2,
2,
3,
4,
7,
27,
32
],
"xaxis": "x",
"y": [
"BEN",
"ZEV",
"BOBA FETT",
"SENIOR CONTROLLER",
"IMPERIAL OFFICER",
"INTERCOM VOICE",
"VADER",
"DECK OFFICER",
"ANNOUNCER",
"CONTROLLER",
"RIEEKAN",
"LUKE",
"LANDO",
"THREEPIO",
"LEIA"
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"coloraxis": {
"colorbar": {
"title": {
"text": "<b> Counts <b>"
}
},
"colorscale": [
[
0,
"rgb(64,0,75)"
],
[
0.1,
"rgb(118,42,131)"
],
[
0.2,
"rgb(153,112,171)"
],
[
0.3,
"rgb(194,165,207)"
],
[
0.4,
"rgb(231,212,232)"
],
[
0.5,
"rgb(247,247,247)"
],
[
0.6,
"rgb(217,240,211)"
],
[
0.7,
"rgb(166,219,160)"
],
[
0.8,
"rgb(90,174,97)"
],
[
0.9,
"rgb(27,120,55)"
],
[
1,
"rgb(0,68,27)"
]
]
},
"height": 700,
"legend": {
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Characters HAN interacted / talked with in Star-Wars-The-Empire-Strikes-Back movie <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "<b> Amount of Consversations <b>"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "<b> Characters <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"53a6c831-20cf-4ade-b827-7dc7b312cd6c\" class=\"plotly-graph-div\" style=\"height:700px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"53a6c831-20cf-4ade-b827-7dc7b312cd6c\")) {\n",
" Plotly.newPlot(\n",
" '53a6c831-20cf-4ade-b827-7dc7b312cd6c',\n",
" [{\"alignmentgroup\": \"True\", \"customdata\": [[\"BEN\", 1.0], [\"ZEV\", 1.0], [\"BOBA FETT\", 1.0], [\"SENIOR CONTROLLER\", 1.0], [\"IMPERIAL OFFICER\", 1.0], [\"INTERCOM VOICE\", 1.0], [\"VADER\", 2.0], [\"DECK OFFICER\", 2.0], [\"ANNOUNCER\", 2.0], [\"CONTROLLER\", 2.0], [\"RIEEKAN\", 3.0], [\"LUKE\", 4.0], [\"LANDO\", 7.0], [\"THREEPIO\", 27.0], [\"LEIA\", 32.0]], \"hovertemplate\": \"<b> Counts <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 3.0, 4.0, 7.0, 27.0, 32.0], \"coloraxis\": \"coloraxis\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"h\", \"showlegend\": false, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 3.0, 4.0, 7.0, 27.0, 32.0], \"xaxis\": \"x\", \"y\": [\"BEN\", \"ZEV\", \"BOBA FETT\", \"SENIOR CONTROLLER\", \"IMPERIAL OFFICER\", \"INTERCOM VOICE\", \"VADER\", \"DECK OFFICER\", \"ANNOUNCER\", \"CONTROLLER\", \"RIEEKAN\", \"LUKE\", \"LANDO\", \"THREEPIO\", \"LEIA\"], \"yaxis\": \"y\"}],\n",
" {\"barmode\": \"relative\", \"coloraxis\": {\"colorbar\": {\"title\": {\"text\": \"<b> Counts <b>\"}}, \"colorscale\": [[0.0, \"rgb(64,0,75)\"], [0.1, \"rgb(118,42,131)\"], [0.2, \"rgb(153,112,171)\"], [0.3, \"rgb(194,165,207)\"], [0.4, \"rgb(231,212,232)\"], [0.5, \"rgb(247,247,247)\"], [0.6, \"rgb(217,240,211)\"], [0.7, \"rgb(166,219,160)\"], [0.8, \"rgb(90,174,97)\"], [0.9, \"rgb(27,120,55)\"], [1.0, \"rgb(0,68,27)\"]]}, \"height\": 700, \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Characters HAN interacted / talked with in Star-Wars-The-Empire-Strikes-Back movie <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Amount of Consversations <b>\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Characters <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('53a6c831-20cf-4ade-b827-7dc7b312cd6c');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_hn = xtr.most_talked_with('HAN')"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"alignmentgroup": "True",
"customdata": [
[
"LEIA",
1
],
[
"THREEPIO",
1
],
[
"ZEV",
1
],
[
"MEDICAL DROID",
1
],
[
"LANDO",
2
],
[
"VADER",
2
],
[
"CREATURE",
2
],
[
"WEDGE",
2
],
[
"BEN'S VOICE",
2
],
[
"ANNOUNCER",
2
],
[
"BEN",
3
],
[
"DACK",
3
],
[
"HAN",
4
],
[
"YODA",
5
]
],
"hovertemplate": "<b> Counts <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>",
"legendgroup": "",
"marker": {
"color": [
1,
1,
1,
1,
2,
2,
2,
2,
2,
2,
3,
3,
4,
5
],
"coloraxis": "coloraxis"
},
"name": "",
"offsetgroup": "",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
1,
1,
1,
1,
2,
2,
2,
2,
2,
2,
3,
3,
4,
5
],
"xaxis": "x",
"y": [
"LEIA",
"THREEPIO",
"ZEV",
"MEDICAL DROID",
"LANDO",
"VADER",
"CREATURE",
"WEDGE",
"BEN'S VOICE",
"ANNOUNCER",
"BEN",
"DACK",
"HAN",
"YODA"
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"coloraxis": {
"colorbar": {
"title": {
"text": "<b> Counts <b>"
}
},
"colorscale": [
[
0,
"rgb(64,0,75)"
],
[
0.1,
"rgb(118,42,131)"
],
[
0.2,
"rgb(153,112,171)"
],
[
0.3,
"rgb(194,165,207)"
],
[
0.4,
"rgb(231,212,232)"
],
[
0.5,
"rgb(247,247,247)"
],
[
0.6,
"rgb(217,240,211)"
],
[
0.7,
"rgb(166,219,160)"
],
[
0.8,
"rgb(90,174,97)"
],
[
0.9,
"rgb(27,120,55)"
],
[
1,
"rgb(0,68,27)"
]
]
},
"height": 700,
"legend": {
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Characters LUKE interacted / talked with in Star-Wars-The-Empire-Strikes-Back movie <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "<b> Amount of Consversations <b>"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "<b> Characters <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"719e646b-a7c2-4c79-94ff-21e1b6b4847d\" class=\"plotly-graph-div\" style=\"height:700px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"719e646b-a7c2-4c79-94ff-21e1b6b4847d\")) {\n",
" Plotly.newPlot(\n",
" '719e646b-a7c2-4c79-94ff-21e1b6b4847d',\n",
" [{\"alignmentgroup\": \"True\", \"customdata\": [[\"LEIA\", 1.0], [\"THREEPIO\", 1.0], [\"ZEV\", 1.0], [\"MEDICAL DROID\", 1.0], [\"LANDO\", 2.0], [\"VADER\", 2.0], [\"CREATURE\", 2.0], [\"WEDGE\", 2.0], [\"BEN'S VOICE\", 2.0], [\"ANNOUNCER\", 2.0], [\"BEN\", 3.0], [\"DACK\", 3.0], [\"HAN\", 4.0], [\"YODA\", 5.0]], \"hovertemplate\": \"<b> Counts <b>=%{marker.color}<br>Characters=%{customdata[0]}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": [1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 4.0, 5.0], \"coloraxis\": \"coloraxis\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"h\", \"showlegend\": false, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 4.0, 5.0], \"xaxis\": \"x\", \"y\": [\"LEIA\", \"THREEPIO\", \"ZEV\", \"MEDICAL DROID\", \"LANDO\", \"VADER\", \"CREATURE\", \"WEDGE\", \"BEN'S VOICE\", \"ANNOUNCER\", \"BEN\", \"DACK\", \"HAN\", \"YODA\"], \"yaxis\": \"y\"}],\n",
" {\"barmode\": \"relative\", \"coloraxis\": {\"colorbar\": {\"title\": {\"text\": \"<b> Counts <b>\"}}, \"colorscale\": [[0.0, \"rgb(64,0,75)\"], [0.1, \"rgb(118,42,131)\"], [0.2, \"rgb(153,112,171)\"], [0.3, \"rgb(194,165,207)\"], [0.4, \"rgb(231,212,232)\"], [0.5, \"rgb(247,247,247)\"], [0.6, \"rgb(217,240,211)\"], [0.7, \"rgb(166,219,160)\"], [0.8, \"rgb(90,174,97)\"], [0.9, \"rgb(27,120,55)\"], [1.0, \"rgb(0,68,27)\"]]}, \"height\": 700, \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Characters LUKE interacted / talked with in Star-Wars-The-Empire-Strikes-Back movie <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Amount of Consversations <b>\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Characters <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('719e646b-a7c2-4c79-94ff-21e1b6b4847d');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_luke = xtr.most_talked_with(movie_characters[1])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### We could continue to check this for every character but I will pause here.... "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 5. Emotional Arcs and Sentiment Analysis across the Movie and for each characters"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [],
"source": [
"etn = emotions_sentiments(df_film, film)"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"line": {
"color": "#17becf"
},
"mode": "lines",
"name": "Average Sentiment",
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"y": [
-0.15293333333333334,
-0.38999999999999996,
-0.02186969696969697,
0,
0.0773,
-0.08049428571428568,
0.15033599999999997,
-0.046544444444444444,
0.03455,
-0.03285625,
-0.16515714285714284,
-0.32985,
-0.28595,
-0.1943090909090909,
-0.100825,
0.06431999999999999,
-0.14673636363636364,
0,
-0.05464,
0,
0.05152500000000001,
-0.0459,
-0.06743333333333333,
0.17806000000000005,
-0.10330555555555554,
-0.052366666666666666,
0.14497777777777776,
0.012866666666666658,
0.08120909090909091,
0.03548,
-0.2029777777777778,
0.20598333333333332,
0.15810588235294118,
-0.17502857142857145,
0.061125000000000006,
0.05058666666666666,
-0.29410000000000003,
-0.27985,
-0.2613666666666667,
-0.2023,
-0.1779,
0.071825,
-0.34,
0.2732,
-0.15555999999999998,
0.18159999999999998,
-0.22455,
-0.15818749999999998,
-0.07543333333333334,
-0.4481,
0,
0,
-0.12878333333333333,
-0.18876666666666667,
0,
-0.17,
-0.4588,
-0.038275,
-0.09752500000000001,
-0.040668750000000004,
0,
-0.13164,
-0.6597,
-0.1531,
-0.6124,
0.05858333333333333,
0,
-0.05303333333333333,
0,
0,
-0.09866666666666667,
-0.25,
0.4404,
0,
0,
0,
0,
-0.3182,
-0.128,
-0.12703333333333333,
-0.10182499999999998,
0.11315,
0.2202,
-0.002816666666666671,
0.20094444444444445,
-0.59726,
-0.1953,
-0.1909,
0,
0.148,
0,
0,
0,
-0.34,
-0.09106666666666667,
-0.20486,
-0.15464,
-0.005524999999999998,
0.22314999999999996,
-0.4588,
-0.128,
-0.11505625,
-0.07655,
-0.12453333333333334,
-0.6908,
0.016720000000000002,
-0.08524999999999999,
-0.10093333333333333,
0.06975714285714285,
0.1858,
0.1591,
-0.2252333333333333,
0.07318333333333334,
-0.148,
-0.46295,
0.05255,
-0.11315,
0.16538333333333333,
-0.09345,
0.06556666666666666,
0.1332,
0.04305555555555555,
-0.225925,
-0.32320000000000004,
-0.19305000000000003,
-0.0137,
-0.4939,
0,
0.037518181818181826,
0.02711818181818182,
0.025922222222222218,
-0.2294,
-0.0258,
-0.008276470588235293,
-0.09369999999999999,
0.11948888888888891,
-0.0258,
0.36819999999999997,
0,
-0.0129,
0.18831111111111112,
0,
-0.21099999999999997,
-0.05176111111111112,
0.0065923076923076925,
0,
-0.02045333333333331,
0.06862105263157897,
0.05599687500000001,
0,
0.05528421052631579,
-0.4588,
0.04524166666666667,
0.141575,
0.050072368421052636,
0.2423,
0.05308999999999999,
-0.0021789473684210524,
-0.005642424242424239,
-0.12594545454545455,
-0.03129375000000001,
0.3182,
0,
0,
-0.03031190476190477,
-0.061900000000000004,
0.3182,
-0.4939,
0.037962499999999996,
-0.2772,
0.04508000000000001,
0,
-0.08739999999999999,
-0.3652333333333333,
-0.07185000000000002,
0.012445454545454544,
-0.7184,
0.13834615384615384,
-0.09866666666666667,
0.10210588235294117,
-0.15095999999999998,
-0.03241142857142856,
0.4215,
0.07955,
-0.04497272727272727,
0,
0,
0.13132000000000002,
0.08270000000000004,
0.14404,
0.1409,
0.70735,
0.13627333333333336,
0.15349583333333333,
0.011914285714285707,
-0.38915,
0.024412727272727284,
0,
0.08252631578947368,
-0.0775,
-0.0022838709677419295,
0.04535454545454545,
0.0651153846153846,
0,
-0.09866666666666667,
-0.14675,
-0.41468,
-0.07614285714285716,
0.02406923076923077,
-0.004266666666666667,
0,
-0.296,
0.02968529411764706,
-0.09029230769230769,
-0.070275,
0.21005,
-0.05103333333333334,
-0.04532857142857143,
0.016184615384615384,
0.00645,
0.16156666666666666,
-0.26477500000000004,
-0.049458695652173916,
-0.04659285714285715,
0.24695,
-0.03328181818181819,
-0.02750000000000002,
-0.18414285714285714,
0.065625,
0,
0.07244999999999999,
-0.05532340425531917,
-0.31845,
-0.1497,
-0.042812499999999996,
0.00036923076923077127,
0.4588,
-0.085,
0,
0.07655,
0.07435714285714286,
0,
0.17072,
-0.3818,
0.07220000000000001,
-0.022974999999999995,
-0.3062,
0.1240375,
-0.0516,
0.11350000000000002,
-0.058591304347826105,
-0.2552,
0.2158285714285714,
0.01175384615384615,
0,
-0.17013333333333333,
-0.167875,
0,
0,
-0.11333333333333334,
-0.2263,
-0.25803333333333334,
0,
0,
0.3286,
-0.007533333333333336,
-0.34,
0.10115,
-0.1779,
-0.1366,
-0.08105000000000001,
0.2677,
0.16463333333333333,
0.1591,
0.07296875,
0.125,
0.3612
]
},
{
"line": {
"color": "crimson",
"dash": "dot"
},
"mode": "lines",
"name": "Zero line",
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
}
],
"layout": {
"showlegend": true,
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Sentiment across the Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"xaxis": {
"title": {
"text": "<b> Scenes <b>"
}
},
"yaxis": {
"title": {
"text": "<b> Average Sentiments <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"777e7305-7e28-4aab-ad11-ee31f7209103\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"777e7305-7e28-4aab-ad11-ee31f7209103\")) {\n",
" Plotly.newPlot(\n",
" '777e7305-7e28-4aab-ad11-ee31f7209103',\n",
" [{\"line\": {\"color\": \"#17becf\"}, \"mode\": \"lines\", \"name\": \"Average Sentiment\", \"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"y\": [-0.15293333333333334, -0.38999999999999996, -0.02186969696969697, 0.0, 0.0773, -0.08049428571428568, 0.15033599999999997, -0.046544444444444444, 0.03455, -0.03285625, -0.16515714285714284, -0.32985, -0.28595, -0.1943090909090909, -0.100825, 0.06431999999999999, -0.14673636363636364, 0.0, -0.05464, 0.0, 0.05152500000000001, -0.0459, -0.06743333333333333, 0.17806000000000005, -0.10330555555555554, -0.052366666666666666, 0.14497777777777776, 0.012866666666666658, 0.08120909090909091, 0.03548, -0.2029777777777778, 0.20598333333333332, 0.15810588235294118, -0.17502857142857145, 0.061125000000000006, 0.05058666666666666, -0.29410000000000003, -0.27985, -0.2613666666666667, -0.2023, -0.1779, 0.071825, -0.34, 0.2732, -0.15555999999999998, 0.18159999999999998, -0.22455, -0.15818749999999998, -0.07543333333333334, -0.4481, 0.0, 0.0, -0.12878333333333333, -0.18876666666666667, 0.0, -0.17, -0.4588, -0.038275, -0.09752500000000001, -0.040668750000000004, 0.0, -0.13164, -0.6597, -0.1531, -0.6124, 0.05858333333333333, 0.0, -0.05303333333333333, 0.0, 0.0, -0.09866666666666667, -0.25, 0.4404, 0.0, 0.0, 0.0, 0.0, -0.3182, -0.128, -0.12703333333333333, -0.10182499999999998, 0.11315, 0.2202, -0.002816666666666671, 0.20094444444444445, -0.59726, -0.1953, -0.1909, 0.0, 0.148, 0.0, 0.0, 0.0, -0.34, -0.09106666666666667, -0.20486, -0.15464, -0.005524999999999998, 0.22314999999999996, -0.4588, -0.128, -0.11505625, -0.07655, -0.12453333333333334, -0.6908, 0.016720000000000002, -0.08524999999999999, -0.10093333333333333, 0.06975714285714285, 0.1858, 0.1591, -0.2252333333333333, 0.07318333333333334, -0.148, -0.46295, 0.05255, -0.11315, 0.16538333333333333, -0.09345, 0.06556666666666666, 0.1332, 0.04305555555555555, -0.225925, -0.32320000000000004, -0.19305000000000003, -0.0137, -0.4939, 0.0, 0.037518181818181826, 0.02711818181818182, 0.025922222222222218, -0.2294, -0.0258, -0.008276470588235293, -0.09369999999999999, 0.11948888888888891, -0.0258, 0.36819999999999997, 0.0, -0.0129, 0.18831111111111112, 0.0, -0.21099999999999997, -0.05176111111111112, 0.0065923076923076925, 0.0, -0.02045333333333331, 0.06862105263157897, 0.05599687500000001, 0.0, 0.05528421052631579, -0.4588, 0.04524166666666667, 0.141575, 0.050072368421052636, 0.2423, 0.05308999999999999, -0.0021789473684210524, -0.005642424242424239, -0.12594545454545455, -0.03129375000000001, 0.3182, 0.0, 0.0, -0.03031190476190477, -0.061900000000000004, 0.3182, -0.4939, 0.037962499999999996, -0.2772, 0.04508000000000001, 0.0, -0.08739999999999999, -0.3652333333333333, -0.07185000000000002, 0.012445454545454544, -0.7184, 0.13834615384615384, -0.09866666666666667, 0.10210588235294117, -0.15095999999999998, -0.03241142857142856, 0.4215, 0.07955, -0.04497272727272727, 0.0, 0.0, 0.13132000000000002, 0.08270000000000004, 0.14404, 0.1409, 0.70735, 0.13627333333333336, 0.15349583333333333, 0.011914285714285707, -0.38915, 0.024412727272727284, 0.0, 0.08252631578947368, -0.0775, -0.0022838709677419295, 0.04535454545454545, 0.0651153846153846, 0.0, -0.09866666666666667, -0.14675, -0.41468, -0.07614285714285716, 0.02406923076923077, -0.004266666666666667, 0.0, -0.296, 0.02968529411764706, -0.09029230769230769, -0.070275, 0.21005, -0.05103333333333334, -0.04532857142857143, 0.016184615384615384, 0.00645, 0.16156666666666666, -0.26477500000000004, -0.049458695652173916, -0.04659285714285715, 0.24695, -0.03328181818181819, -0.02750000000000002, -0.18414285714285714, 0.065625, 0.0, 0.07244999999999999, -0.05532340425531917, -0.31845, -0.1497, -0.042812499999999996, 0.00036923076923077127, 0.4588, -0.085, 0.0, 0.07655, 0.07435714285714286, 0.0, 0.17072, -0.3818, 0.07220000000000001, -0.022974999999999995, -0.3062, 0.1240375, -0.0516, 0.11350000000000002, -0.058591304347826105, -0.2552, 0.2158285714285714, 0.01175384615384615, 0.0, -0.17013333333333333, -0.167875, 0.0, 0.0, -0.11333333333333334, -0.2263, -0.25803333333333334, 0.0, 0.0, 0.3286, -0.007533333333333336, -0.34, 0.10115, -0.1779, -0.1366, -0.08105000000000001, 0.2677, 0.16463333333333333, 0.1591, 0.07296875, 0.125, 0.3612]}, {\"line\": {\"color\": \"crimson\", \"dash\": \"dot\"}, \"mode\": \"lines\", \"name\": \"Zero line\", \"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"y\": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}],\n",
" {\"showlegend\": true, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Sentiment across the Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"xaxis\": {\"title\": {\"text\": \"<b> Scenes <b>\"}}, \"yaxis\": {\"title\": {\"text\": \"<b> Average Sentiments <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('777e7305-7e28-4aab-ad11-ee31f7209103');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_film_sentiment = etn.film_sentiment('#17becf')"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x",
"y": [
0,
0,
0.03598971722365039,
0,
0.02112676056338028,
0.019886363636363636,
0,
0.009615384615384616,
0,
0.006329113924050633,
0.02654867256637168,
0,
0.02564102564102564,
0,
0.04,
0.026143790849673203,
0.02669902912621359,
0,
0,
0,
0,
0,
0.046511627906976744,
0.012605042016806723,
0.011560693641618497,
0.024,
0.014084507042253521,
0,
0.014234875444839857,
0.03896103896103896,
0.008620689655172414,
0,
0.005235602094240838,
0.02702702702702703,
0.01729106628242075,
0.013333333333333334,
0.08,
0,
0.045454545454545456,
0.06666666666666667,
0,
0.03571428571428571,
0,
0.125,
0.04040404040404041,
0,
0.034482758620689655,
0.0380952380952381,
0.02040816326530612,
0.09090909090909091,
0,
0,
0.02857142857142857,
0.02857142857142857,
0,
0.03571428571428571,
0.05555555555555555,
0.03571428571428571,
0.04225352112676056,
0.0056179775280898875,
0,
0,
0.23076923076923078,
0.05263157894736842,
0.14285714285714285,
0.01694915254237288,
0,
0.021739130434782608,
0,
0,
0,
0,
0.16666666666666666,
0,
0,
0,
0,
0,
0,
0,
0.0273972602739726,
0.047619047619047616,
0,
0,
0,
0.14473684210526316,
0.038461538461538464,
0.03571428571428571,
0,
0,
0,
0,
0,
0.125,
0,
0.031746031746031744,
0.017543859649122806,
0.02097902097902098,
0.03571428571428571,
0.06666666666666667,
0.07692307692307693,
0.02092050209205021,
0.03571428571428571,
0.021739130434782608,
0.125,
0.009615384615384616,
0,
0,
0.02586206896551724,
0.03125,
0,
0.011363636363636364,
0,
0,
0.07142857142857142,
0.024193548387096774,
0,
0,
0,
0,
0,
0.03636363636363636,
0,
0,
0,
0.022988505747126436,
0,
0,
0.047619047619047616,
0.013888888888888888,
0.011695906432748537,
0.047619047619047616,
0,
0.015544041450777202,
0,
0.010752688172043012,
0,
0,
0,
0,
0,
0,
0.023809523809523808,
0.015968063872255488,
0.011764705882352941,
0,
0.011560693641618497,
0.01040582726326743,
0.010071942446043165,
0,
0.007936507936507936,
0,
0.004545454545454545,
0.0273972602739726,
0.005442176870748299,
0.041666666666666664,
0.006578947368421052,
0.016216216216216217,
0.016,
0,
0.016666666666666666,
0.030303030303030304,
0,
0.05555555555555555,
0.03233256351039261,
0.03557312252964427,
0,
0,
0.022935779816513763,
0,
0.012195121951219513,
0.029411764705882353,
0.028708133971291867,
0,
0.01485148514851485,
0.011235955056179775,
0,
0,
0,
0.008968609865470852,
0,
0.010416666666666666,
0.05555555555555555,
0,
0.015873015873015872,
0,
0,
0,
0.014084507042253521,
0.027777777777777776,
0.008620689655172414,
0,
0.003875968992248062,
0.0040650406504065045,
0,
0,
0.013435700575815739,
0.058823529411764705,
0.005128205128205128,
0.04201680672268908,
0.007936507936507936,
0,
0.018518518518518517,
0,
0,
0.02952029520295203,
0.023255813953488372,
0.0273972602739726,
0.016697588126159554,
0.02631578947368421,
0,
0,
0.00702576112412178,
0.020161290322580645,
0.03333333333333333,
0,
0.02857142857142857,
0.032679738562091505,
0.010380622837370242,
0.018867924528301886,
0,
0.023474178403755867,
0.0213903743315508,
0.033816425120772944,
0.029411764705882353,
0.0149812734082397,
0.006493506493506494,
0.04040404040404041,
0.02631578947368421,
0,
0,
0.022641509433962263,
0,
0.04081632653061224,
0.00847457627118644,
0.02727272727272727,
0,
0,
0,
0,
0,
0.015873015873015872,
0,
0,
0.13636363636363635,
0,
0.03571428571428571,
0.07142857142857142,
0,
0,
0.027777777777777776,
0.037037037037037035,
0,
0.015873015873015872,
0,
0,
0.03125,
0,
0,
0,
0,
0,
0,
0,
0,
0.023809523809523808,
0.058823529411764705,
0,
0,
0,
0.09090909090909091,
0,
0,
0,
0.014563106796116505,
0,
0
],
"yaxis": "y"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x2",
"y": [
0.025,
0,
0.017994858611825194,
0,
0,
0.017045454545454544,
0.026785714285714284,
0,
0,
0,
0.008849557522123894,
0,
0,
0.019417475728155338,
0.02,
0.032679738562091505,
0.019417475728155338,
0.1,
0,
0,
0.022727272727272728,
0.043478260869565216,
0,
0.018907563025210083,
0.017341040462427744,
0.008,
0.028169014084507043,
0.10638297872340426,
0.0035587188612099642,
0.012987012987012988,
0.008620689655172414,
0.015873015873015872,
0.005235602094240838,
0.02702702702702703,
0.005763688760806916,
0.04666666666666667,
0,
0.029411764705882353,
0.022727272727272728,
0,
0.13636363636363635,
0.07142857142857142,
0,
0,
0.0707070707070707,
0.027522935779816515,
0.06896551724137931,
0.009523809523809525,
0.02040816326530612,
0.045454545454545456,
0,
0,
0,
0.02857142857142857,
0.02127659574468085,
0,
0,
0,
0,
0.02247191011235955,
0,
0,
0,
0,
0,
0.01694915254237288,
0,
0,
0,
0,
0,
0,
0.16666666666666666,
0,
0,
0,
0,
0,
0,
0.018867924528301886,
0.0136986301369863,
0.047619047619047616,
0.1,
0.03278688524590164,
0.03305785123966942,
0,
0,
0,
0.034482758620689655,
0,
0,
0.08333333333333333,
0,
0.125,
0,
0.031746031746031744,
0.017543859649122806,
0.017482517482517484,
0,
0,
0.07692307692307693,
0.012552301255230125,
0,
0,
0,
0,
0,
0.046875,
0.04310344827586207,
0,
0,
0.022727272727272728,
0.022222222222222223,
0,
0,
0.024193548387096774,
0.022222222222222223,
0.031446540880503145,
0.045454545454545456,
0.00980392156862745,
0.027777777777777776,
0.01818181818181818,
0.0847457627118644,
0.05357142857142857,
0.04,
0.028735632183908046,
0.047619047619047616,
0.08333333333333333,
0.013605442176870748,
0.020833333333333332,
0.017543859649122806,
0.047619047619047616,
0,
0.015544041450777202,
0.008849557522123894,
0.03225806451612903,
0,
0.0625,
0.022222222222222223,
0,
0.04395604395604396,
0,
0.03968253968253968,
0.01996007984031936,
0.023529411764705882,
0,
0.02601156069364162,
0.01664932362122789,
0.015827338129496403,
0.07142857142857142,
0.031746031746031744,
0.1,
0,
0.0410958904109589,
0.024489795918367346,
0.08333333333333333,
0.013157894736842105,
0.016216216216216217,
0.029333333333333333,
0.028985507246376812,
0.03888888888888889,
0.030303030303030304,
0.03125,
0,
0.03233256351039261,
0.019762845849802372,
0,
0.058823529411764705,
0.03211009174311927,
0.028985507246376812,
0.06097560975609756,
0.058823529411764705,
0.028708133971291867,
0.05172413793103448,
0.024752475247524754,
0.019261637239165328,
0.11764705882352941,
0.006211180124223602,
0.07407407407407407,
0.01569506726457399,
0.02531645569620253,
0.020833333333333332,
0,
0.0196078431372549,
0.042328042328042326,
0.02857142857142857,
0,
0,
0.014084507042253521,
0,
0.02586206896551724,
0,
0.027131782945736434,
0.032520325203252036,
0,
0.029411764705882353,
0.023032629558541268,
0,
0.02564102564102564,
0,
0.007936507936507936,
0.027932960893854747,
0.012345679012345678,
0,
0,
0.0036900369003690036,
0.011627906976744186,
0.0410958904109589,
0.016697588126159554,
0.02631578947368421,
0,
0,
0.01873536299765808,
0.016129032258064516,
0,
0.03125,
0.02857142857142857,
0.0196078431372549,
0.0034602076124567475,
0.03773584905660377,
0.029411764705882353,
0.03286384976525822,
0.012477718360071301,
0.00966183574879227,
0,
0,
0.006493506493506494,
0.050505050505050504,
0.02631578947368421,
0.0625,
0,
0.016981132075471698,
0,
0,
0,
0.01818181818181818,
0,
0.022727272727272728,
0,
0,
0.019230769230769232,
0,
0.05555555555555555,
0,
0.045454545454545456,
0,
0,
0.047619047619047616,
0,
0.04878048780487805,
0.046296296296296294,
0.037037037037037035,
0.028985507246376812,
0.007936507936507936,
0,
0.029411764705882353,
0.0625,
0,
0,
0.06451612903225806,
0.05263157894736842,
0,
0,
0,
0,
0.023809523809523808,
0,
0.09523809523809523,
0.045454545454545456,
0,
0.030303030303030304,
0.05263157894736842,
0,
0,
0.014563106796116505,
0.05263157894736842,
0
],
"yaxis": "y2"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x3",
"y": [
0,
0.046511627906976744,
0.010282776349614395,
0,
0.007042253521126761,
0.011363636363636364,
0,
0.009615384615384616,
0,
0.006329113924050633,
0.017699115044247787,
0,
0,
0,
0,
0.00980392156862745,
0.021844660194174758,
0,
0,
0,
0,
0.021739130434782608,
0.11627906976744186,
0.004201680672268907,
0.005780346820809248,
0,
0,
0.02127659574468085,
0.014234875444839857,
0,
0.008620689655172414,
0,
0,
0,
0.023054755043227664,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.02857142857142857,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.01694915254237288,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.125,
0,
0.031746031746031744,
0,
0,
0,
0,
0,
0.008368200836820083,
0,
0,
0,
0,
0,
0,
0.008620689655172414,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.01818181818181818,
0,
0,
0,
0,
0,
0,
0.006802721088435374,
0,
0,
0,
0,
0,
0.008849557522123894,
0.010752688172043012,
0,
0,
0,
0,
0,
0,
0.015873015873015872,
0.021956087824351298,
0.023529411764705882,
0,
0.002890173410404624,
0.005202913631633715,
0.010071942446043165,
0,
0.015873015873015872,
0,
0.01818181818181818,
0.0136986301369863,
0.004081632653061225,
0,
0,
0.005405405405405406,
0.005333333333333333,
0.007246376811594203,
0.005555555555555556,
0,
0.03125,
0,
0.025404157043879907,
0.015810276679841896,
0,
0,
0.022935779816513763,
0,
0,
0,
0.004784688995215311,
0,
0.01485148514851485,
0.019261637239165328,
0,
0.018633540372670808,
0,
0.002242152466367713,
0,
0.006944444444444444,
0,
0,
0.005291005291005291,
0,
0,
0,
0.028169014084507043,
0,
0.008620689655172414,
0,
0,
0,
0,
0,
0.007677543186180422,
0,
0,
0,
0.011904761904761904,
0,
0.012345679012345678,
0,
0,
0.007380073800738007,
0.011627906976744186,
0.03424657534246575,
0.0074211502782931356,
0.019736842105263157,
0,
0,
0.00585480093676815,
0.004032258064516129,
0,
0.03125,
0,
0.006535947712418301,
0,
0,
0.00980392156862745,
0.004694835680751174,
0.0071301247771836,
0,
0,
0.00749063670411985,
0,
0.020202020202020204,
0,
0,
0,
0.0037735849056603774,
0,
0,
0,
0,
0,
0.022727272727272728,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.023809523809523808,
0,
0,
0.009259259259259259,
0,
0.043478260869565216,
0,
0,
0,
0.03125,
0,
0,
0.03225806451612903,
0,
0,
0,
0,
0,
0.011904761904761904,
0,
0,
0,
0,
0,
0,
0,
0,
0.009708737864077669,
0,
0
],
"yaxis": "y3"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x4",
"y": [
0,
0.023255813953488372,
0.030848329048843187,
0,
0.02112676056338028,
0.019886363636363636,
0.008928571428571428,
0,
0.00273224043715847,
0.012658227848101266,
0.03982300884955752,
0,
0,
0,
0.04,
0.032679738562091505,
0.03155339805825243,
0.1,
0,
0,
0,
0.021739130434782608,
0.023255813953488372,
0.02100840336134454,
0.011560693641618497,
0.032,
0.014084507042253521,
0.02127659574468085,
0.021352313167259787,
0.05194805194805195,
0.034482758620689655,
0,
0.010471204188481676,
0.05405405405405406,
0.0345821325648415,
0.02,
0.08,
0.029411764705882353,
0.045454545454545456,
0.06666666666666667,
0,
0.03571428571428571,
0.1111111111111111,
0.1875,
0.04040404040404041,
0,
0.034482758620689655,
0.0380952380952381,
0,
0.06818181818181818,
0,
0,
0.02857142857142857,
0.08571428571428572,
0,
0.07142857142857142,
0.1111111111111111,
0.07142857142857142,
0.08450704225352113,
0.02247191011235955,
0,
0.018867924528301886,
0.23076923076923078,
0.05263157894736842,
0.07142857142857142,
0.05084745762711865,
0,
0.021739130434782608,
0,
0,
0.03125,
0,
0.16666666666666666,
0.02702702702702703,
0,
0.05263157894736842,
0.038461538461538464,
0,
0,
0.05660377358490566,
0.0547945205479452,
0.047619047619047616,
0,
0,
0.008264462809917356,
0.13157894736842105,
0.11538461538461539,
0.03571428571428571,
0.034482758620689655,
0,
0,
0.08333333333333333,
0,
0.375,
0,
0.047619047619047616,
0.017543859649122806,
0.01048951048951049,
0.07142857142857142,
0.2,
0.15384615384615385,
0.04184100418410042,
0.03571428571428571,
0.15217391304347827,
0.125,
0,
0,
0,
0.02586206896551724,
0,
0.047619047619047616,
0.011363636363636364,
0.011111111111111112,
0.05555555555555555,
0.09523809523809523,
0.024193548387096774,
0.022222222222222223,
0,
0.045454545454545456,
0.004901960784313725,
0,
0.01818181818181818,
0.01694915254237288,
0.03571428571428571,
0,
0.017241379310344827,
0,
0,
0.013605442176870748,
0.006944444444444444,
0.011695906432748537,
0.047619047619047616,
0,
0.015544041450777202,
0.017699115044247787,
0.010752688172043012,
0.09090909090909091,
0,
0,
0,
0.01098901098901099,
0,
0.047619047619047616,
0.02594810379241517,
0.01764705882352941,
0,
0.011560693641618497,
0.023933402705515087,
0.017266187050359712,
0.07142857142857142,
0.003968253968253968,
0,
0.01818181818181818,
0,
0.006802721088435374,
0,
0.006578947368421052,
0.021621621621621623,
0.021333333333333333,
0,
0.016666666666666666,
0.06060606060606061,
0.0625,
0,
0.020785219399538105,
0.04743083003952569,
0,
0.058823529411764705,
0.04128440366972477,
0.043478260869565216,
0.024390243902439025,
0,
0.014354066985645933,
0.017241379310344827,
0.024752475247524754,
0.016051364365971106,
0,
0.006211180124223602,
0,
0.004484304932735426,
0,
0.03125,
0.05555555555555555,
0,
0.015873015873015872,
0,
0.05,
0,
0.04225352112676056,
0.027777777777777776,
0.008620689655172414,
0,
0.003875968992248062,
0.016260162601626018,
0,
0.029411764705882353,
0.02111324376199616,
0,
0,
0.025210084033613446,
0.01984126984126984,
0.027932960893854747,
0.024691358024691357,
0,
0,
0.033210332103321034,
0.011627906976744186,
0.02054794520547945,
0.025974025974025976,
0.019736842105263157,
0,
0.07692307692307693,
0.02224824355971897,
0.04435483870967742,
0.05,
0.03125,
0.05714285714285714,
0.026143790849673203,
0.01730103806228374,
0.05660377358490566,
0.0196078431372549,
0.03286384976525822,
0.0196078431372549,
0.024154589371980676,
0.029411764705882353,
0.018726591760299626,
0.032467532467532464,
0.030303030303030304,
0.02631578947368421,
0.03125,
0.03571428571428571,
0.018867924528301886,
0,
0.02040816326530612,
0,
0.02727272727272727,
0,
0.045454545454545456,
0,
0,
0,
0,
0,
0.09090909090909091,
0.13636363636363635,
0,
0.07142857142857142,
0.047619047619047616,
0,
0,
0.032407407407407406,
0.037037037037037035,
0,
0.007936507936507936,
0,
0.029411764705882353,
0.03125,
0,
0,
0.03225806451612903,
0,
0.08333333333333333,
0,
0,
0,
0.011904761904761904,
0.058823529411764705,
0,
0,
0.03225806451612903,
0.12121212121212122,
0.017543859649122806,
0,
0,
0.024271844660194174,
0,
0
],
"yaxis": "y4"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x5",
"y": [
0.025,
0,
0.002570694087403599,
0,
0,
0.008522727272727272,
0.022321428571428572,
0,
0.00273224043715847,
0.006329113924050633,
0.008849557522123894,
0,
0,
0,
0.02,
0.00980392156862745,
0.0048543689320388345,
0.1,
0,
0,
0.03409090909090909,
0,
0.023255813953488372,
0.0273109243697479,
0.011560693641618497,
0,
0.028169014084507043,
0.0425531914893617,
0.0071174377224199285,
0,
0,
0,
0.015706806282722512,
0.013513513513513514,
0,
0.02,
0,
0,
0,
0,
0.13636363636363635,
0.03571428571428571,
0,
0.0625,
0.050505050505050504,
0.027522935779816515,
0,
0.009523809523809525,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0056179775280898875,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.16666666666666666,
0,
0,
0,
0,
0,
0,
0,
0.0136986301369863,
0.047619047619047616,
0.1,
0,
0.024793388429752067,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.017543859649122806,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011111111111111112,
0,
0,
0.024193548387096774,
0,
0.025157232704402517,
0.045454545454545456,
0.014705882352941176,
0.027777777777777776,
0.00909090909090909,
0.05084745762711865,
0.03571428571428571,
0.04,
0.011494252873563218,
0.047619047619047616,
0.08333333333333333,
0,
0.006944444444444444,
0,
0.047619047619047616,
0,
0.0051813471502590676,
0,
0.03225806451612903,
0,
0.0625,
0,
0,
0.03296703296703297,
0,
0.007936507936507936,
0.00998003992015968,
0,
0,
0.011560693641618497,
0.019771071800208116,
0.007194244604316547,
0,
0.015873015873015872,
0.1,
0,
0.0410958904109589,
0.010884353741496598,
0.020833333333333332,
0.019736842105263157,
0,
0.0026666666666666666,
0,
0.022222222222222223,
0.030303030303030304,
0,
0,
0.023094688221709007,
0.015810276679841896,
0,
0.058823529411764705,
0.009174311926605505,
0.028985507246376812,
0.024390243902439025,
0.029411764705882353,
0.009569377990430622,
0.034482758620689655,
0,
0.009630818619582664,
0.11764705882352941,
0.006211180124223602,
0.018518518518518517,
0.013452914798206279,
0.012658227848101266,
0.013888888888888888,
0,
0,
0.010582010582010581,
0.02857142857142857,
0,
0,
0,
0.027777777777777776,
0.034482758620689655,
0.14285714285714285,
0.015503875968992248,
0.036585365853658534,
0,
0,
0.007677543186180422,
0.058823529411764705,
0.02564102564102564,
0,
0.007936507936507936,
0.00558659217877095,
0.006172839506172839,
0,
0,
0,
0,
0.0273972602739726,
0.014842300556586271,
0.013157894736842105,
0,
0,
0.0117096018735363,
0.004032258064516129,
0,
0,
0,
0.013071895424836602,
0.0034602076124567475,
0,
0.0196078431372549,
0.004694835680751174,
0.012477718360071301,
0.004830917874396135,
0,
0,
0.006493506493506494,
0,
0,
0,
0,
0.005660377358490566,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.027777777777777776,
0,
0,
0,
0,
0.03571428571428571,
0,
0.024390243902439025,
0.009259259259259259,
0.037037037037037035,
0.028985507246376812,
0.007936507936507936,
0,
0,
0,
0,
0,
0,
0.05263157894736842,
0,
0,
0,
0.09090909090909091,
0,
0,
0,
0.045454545454545456,
0,
0,
0.03508771929824561,
0,
0,
0.0048543689320388345,
0.02631578947368421,
0
],
"yaxis": "y5"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x6",
"y": [
0,
0.06976744186046512,
0.061696658097686374,
0,
0.028169014084507043,
0.022727272727272728,
0.008928571428571428,
0.009615384615384616,
0.00819672131147541,
0.0189873417721519,
0.04424778761061947,
0.041666666666666664,
0.07692307692307693,
0.04854368932038835,
0.04,
0.05228758169934641,
0.04854368932038835,
0,
0,
0.05555555555555555,
0,
0.06521739130434782,
0.09302325581395349,
0.023109243697478993,
0.017341040462427744,
0.04,
0.028169014084507043,
0.0425531914893617,
0.02491103202846975,
0.06493506493506493,
0.02586206896551724,
0.031746031746031744,
0.015706806282722512,
0.06756756756756757,
0.05187319884726225,
0.02,
0.08,
0,
0.045454545454545456,
0.06666666666666667,
0,
0.03571428571428571,
0,
0.125,
0.06060606060606061,
0,
0.10344827586206896,
0.05714285714285714,
0.061224489795918366,
0.11363636363636363,
0,
0,
0.05714285714285714,
0.05714285714285714,
0,
0.07142857142857142,
0.05555555555555555,
0.05357142857142857,
0.08450704225352113,
0.0056179775280898875,
0,
0.018867924528301886,
0.23076923076923078,
0.05263157894736842,
0.14285714285714285,
0.03389830508474576,
0,
0.043478260869565216,
0,
0,
0,
0,
0.16666666666666666,
0,
0,
0,
0,
0,
0,
0.03773584905660377,
0.0547945205479452,
0.047619047619047616,
0,
0,
0.024793388429752067,
0.14473684210526316,
0.038461538461538464,
0.07142857142857142,
0.034482758620689655,
0,
0,
0,
0,
0.25,
0,
0.06349206349206349,
0.03508771929824561,
0.03146853146853147,
0.10714285714285714,
0.06666666666666667,
0.15384615384615385,
0.04184100418410042,
0.03571428571428571,
0.021739130434782608,
0.125,
0.028846153846153848,
0,
0.0625,
0.05172413793103448,
0.0625,
0.047619047619047616,
0.022727272727272728,
0,
0,
0.07142857142857142,
0.03225806451612903,
0,
0.018867924528301886,
0,
0.014705882352941176,
0,
0.03636363636363636,
0,
0.017857142857142856,
0,
0.022988505747126436,
0,
0,
0.06802721088435375,
0.013888888888888888,
0.023391812865497075,
0.047619047619047616,
0,
0.025906735751295335,
0.008849557522123894,
0.010752688172043012,
0,
0,
0.022222222222222223,
0,
0,
0,
0.05555555555555555,
0.033932135728542916,
0.06470588235294118,
0,
0.028901734104046242,
0.02497398543184183,
0.017266187050359712,
0.07142857142857142,
0.031746031746031744,
0,
0.04090909090909091,
0.0547945205479452,
0.014965986394557823,
0.08333333333333333,
0.013157894736842105,
0.02702702702702703,
0.034666666666666665,
0.007246376811594203,
0.03333333333333333,
0.06060606060606061,
0.0625,
0.05555555555555555,
0.03233256351039261,
0.05138339920948617,
0,
0,
0.05963302752293578,
0.028985507246376812,
0.036585365853658534,
0.029411764705882353,
0.05263157894736842,
0.034482758620689655,
0.039603960396039604,
0.025682182985553772,
0,
0.037267080745341616,
0,
0.02466367713004484,
0.0379746835443038,
0.041666666666666664,
0.05555555555555555,
0,
0.026455026455026454,
0,
0,
0,
0.04225352112676056,
0.027777777777777776,
0.008620689655172414,
0,
0.01937984496124031,
0.028455284552845527,
0,
0.029411764705882353,
0.026871401151631478,
0,
0.010256410256410256,
0.06722689075630252,
0.03571428571428571,
0.0446927374301676,
0.043209876543209874,
0,
0,
0.03690036900369004,
0.03488372093023256,
0.04794520547945205,
0.04823747680890538,
0.03289473684210526,
0,
0,
0.02810304449648712,
0.024193548387096774,
0.03333333333333333,
0,
0.02857142857142857,
0.032679738562091505,
0.01384083044982699,
0.03773584905660377,
0.029411764705882353,
0.028169014084507043,
0.0285204991087344,
0.033816425120772944,
0.058823529411764705,
0.026217228464419477,
0.032467532467532464,
0.06060606060606061,
0.02631578947368421,
0,
0,
0.033962264150943396,
0.07142857142857142,
0.061224489795918366,
0.0423728813559322,
0.03636363636363636,
0,
0.022727272727272728,
0,
0,
0,
0.047619047619047616,
0.05555555555555555,
0,
0.13636363636363635,
0,
0.07142857142857142,
0.09523809523809523,
0,
0.024390243902439025,
0.041666666666666664,
0.07407407407407407,
0.043478260869565216,
0.031746031746031744,
0,
0.029411764705882353,
0.0625,
0,
0,
0.03225806451612903,
0,
0.08333333333333333,
0,
0,
0,
0.023809523809523808,
0.058823529411764705,
0,
0,
0.03225806451612903,
0.09090909090909091,
0.017543859649122806,
0,
0,
0.024271844660194174,
0,
0
],
"yaxis": "y6"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x7",
"y": [
0.05,
0.023255813953488372,
0.028277634961439587,
0.0625,
0.02112676056338028,
0.03977272727272727,
0.03125,
0.028846153846153848,
0.040983606557377046,
0.0379746835443038,
0.030973451327433628,
0,
0,
0.019417475728155338,
0.06,
0.049019607843137254,
0.03155339805825243,
0.2,
0.037037037037037035,
0.05555555555555555,
0.056818181818181816,
0.08695652173913043,
0.023255813953488372,
0.04831932773109244,
0.028901734104046242,
0.016,
0.028169014084507043,
0.0851063829787234,
0.0498220640569395,
0.07792207792207792,
0.02586206896551724,
0.031746031746031744,
0.03664921465968586,
0.05405405405405406,
0.06628242074927954,
0.04666666666666667,
0,
0.029411764705882353,
0.045454545454545456,
0,
0.22727272727272727,
0.10714285714285714,
0,
0.0625,
0.0707070707070707,
0.05504587155963303,
0.06896551724137931,
0.009523809523809525,
0.02040816326530612,
0.045454545454545456,
0,
0.07692307692307693,
0,
0,
0.0425531914893617,
0.03571428571428571,
0,
0.017857142857142856,
0.04225352112676056,
0.028089887640449437,
0.05263157894736842,
0.018867924528301886,
0,
0,
0.07142857142857142,
0.06779661016949153,
0,
0.043478260869565216,
0,
0,
0,
0,
0.16666666666666666,
0,
0,
0,
0,
0,
0,
0,
0.0136986301369863,
0.047619047619047616,
0.1,
0.06557377049180328,
0.049586776859504134,
0.039473684210526314,
0.07692307692307693,
0,
0,
0.09090909090909091,
0,
0.08333333333333333,
0,
0,
0,
0.031746031746031744,
0.03508771929824561,
0.03496503496503497,
0,
0.06666666666666667,
0,
0.02092050209205021,
0,
0.08695652173913043,
0,
0.028846153846153848,
0,
0.03125,
0.04310344827586207,
0.03125,
0.047619047619047616,
0.056818181818181816,
0.022222222222222223,
0,
0.023809523809523808,
0.04838709677419355,
0.022222222222222223,
0.03773584905660377,
0.045454545454545456,
0.0196078431372549,
0.027777777777777776,
0.02727272727272727,
0.05084745762711865,
0.07142857142857142,
0.12,
0.04597701149425287,
0.047619047619047616,
0.08333333333333333,
0.02040816326530612,
0.034722222222222224,
0.011695906432748537,
0.047619047619047616,
0,
0.031088082901554404,
0.008849557522123894,
0.053763440860215055,
0,
0.0625,
0,
0,
0.06593406593406594,
0,
0.047619047619047616,
0.021956087824351298,
0.029411764705882353,
0.037037037037037035,
0.031791907514450865,
0.03850156087408949,
0.02877697841726619,
0.07142857142857142,
0.05555555555555555,
0.25,
0.031818181818181815,
0.0410958904109589,
0.027210884353741496,
0.0625,
0.05263157894736842,
0.016216216216216217,
0.02666666666666667,
0.021739130434782608,
0.07777777777777778,
0.030303030303030304,
0,
0,
0.04157043879907621,
0.043478260869565216,
0.06666666666666667,
0.11764705882352941,
0.03669724770642202,
0.057971014492753624,
0.024390243902439025,
0.029411764705882353,
0.05741626794258373,
0.034482758620689655,
0.04455445544554455,
0.03210272873194221,
0.17647058823529413,
0.062111801242236024,
0.037037037037037035,
0.03139013452914798,
0.012658227848101266,
0.03125,
0,
0,
0.042328042328042326,
0.05714285714285714,
0.1,
0.013513513513513514,
0.08450704225352113,
0.027777777777777776,
0.04310344827586207,
0.14285714285714285,
0.03488372093023256,
0.044715447154471545,
0.02702702702702703,
0.029411764705882353,
0.028790786948176585,
0.058823529411764705,
0.046153846153846156,
0.008403361344537815,
0.023809523809523808,
0.01675977653631285,
0.030864197530864196,
0,
0.04081632653061224,
0.0036900369003690036,
0.011627906976744186,
0.07534246575342465,
0.029684601113172542,
0.05921052631578947,
0,
0.07692307692307693,
0.03278688524590164,
0.024193548387096774,
0,
0.03125,
0.05714285714285714,
0.026143790849673203,
0.031141868512110725,
0.03773584905660377,
0.0196078431372549,
0.046948356807511735,
0.035650623885918005,
0.024154589371980676,
0,
0.011235955056179775,
0.025974025974025976,
0.04040404040404041,
0,
0.0625,
0.07142857142857142,
0.022641509433962263,
0,
0.02040816326530612,
0.00847457627118644,
0.00909090909090909,
0.08333333333333333,
0.06818181818181818,
0,
0,
0.038461538461538464,
0,
0.027777777777777776,
0,
0.045454545454545456,
0,
0.03571428571428571,
0.05952380952380952,
0,
0.07317073170731707,
0.041666666666666664,
0.07407407407407407,
0.07246376811594203,
0.007936507936507936,
0,
0,
0,
0,
0,
0,
0.05263157894736842,
0,
0,
0,
0.09090909090909091,
0.011904761904761904,
0,
0.047619047619047616,
0.045454545454545456,
0.03225806451612903,
0.030303030303030304,
0.10526315789473684,
0,
0.09090909090909091,
0.009708737864077669,
0.05263157894736842,
0.16666666666666666
],
"yaxis": "y7"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x8",
"y": [
0,
0.023255813953488372,
0.017994858611825194,
0,
0.007042253521126761,
0.017045454545454544,
0.004464285714285714,
0,
0.00819672131147541,
0.0189873417721519,
0.022123893805309734,
0.041666666666666664,
0.02564102564102564,
0.019417475728155338,
0,
0.02287581699346405,
0.021844660194174758,
0,
0,
0,
0,
0,
0.046511627906976744,
0.008403361344537815,
0.005780346820809248,
0.024,
0,
0,
0,
0,
0,
0,
0,
0,
0.025936599423631124,
0.006666666666666667,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.009174311926605505,
0.034482758620689655,
0.009523809523809525,
0.02040816326530612,
0,
0,
0,
0,
0,
0,
0,
0,
0.017857142857142856,
0,
0,
0,
0.018867924528301886,
0,
0,
0,
0,
0,
0.043478260869565216,
0,
0,
0,
0,
0.16666666666666666,
0,
0,
0,
0,
0,
0,
0.018867924528301886,
0.0136986301369863,
0,
0,
0,
0.008264462809917356,
0,
0,
0,
0,
0,
0,
0,
0,
0.125,
0,
0,
0,
0.006993006993006993,
0.03571428571428571,
0,
0,
0.008368200836820083,
0,
0,
0,
0.009615384615384616,
0,
0,
0.02586206896551724,
0.03125,
0.047619047619047616,
0,
0.011111111111111112,
0,
0,
0.008064516129032258,
0,
0.012578616352201259,
0,
0.004901960784313725,
0,
0.01818181818181818,
0,
0,
0,
0,
0,
0,
0.013605442176870748,
0.006944444444444444,
0.005847953216374269,
0,
0,
0.010362694300518135,
0,
0,
0,
0,
0,
0,
0,
0,
0.015873015873015872,
0.017964071856287425,
0.03529411764705882,
0.07407407407407407,
0.005780346820809248,
0.009365244536940686,
0.004316546762589928,
0,
0.003968253968253968,
0,
0.02727272727272727,
0,
0.0013605442176870747,
0,
0.006578947368421052,
0.010810810810810811,
0.010666666666666666,
0.007246376811594203,
0.016666666666666666,
0,
0,
0,
0.023094688221709007,
0.03162055335968379,
0,
0,
0.01834862385321101,
0,
0,
0,
0.019138755980861243,
0,
0.009900990099009901,
0.004815409309791332,
0,
0.024844720496894408,
0,
0.002242152466367713,
0,
0.03125,
0,
0,
0.005291005291005291,
0,
0,
0,
0.028169014084507043,
0,
0,
0,
0.003875968992248062,
0.012195121951219513,
0,
0,
0.019193857965451054,
0,
0.005128205128205128,
0.01680672268907563,
0.015873015873015872,
0.0111731843575419,
0.024691358024691357,
0,
0,
0.025830258302583026,
0.011627906976744186,
0.0273972602739726,
0.012987012987012988,
0.03289473684210526,
0,
0,
0.0117096018735363,
0.012096774193548387,
0,
0,
0,
0.0196078431372549,
0.006920415224913495,
0.018867924528301886,
0.00980392156862745,
0.014084507042253521,
0.0142602495543672,
0.004830917874396135,
0.029411764705882353,
0.003745318352059925,
0.006493506493506494,
0.020202020202020204,
0,
0,
0,
0.020754716981132074,
0,
0,
0.00847457627118644,
0.00909090909090909,
0,
0,
0,
0,
0,
0.015873015873015872,
0.05555555555555555,
0,
0,
0,
0,
0.011904761904761904,
0,
0,
0.013888888888888888,
0,
0,
0.007936507936507936,
0,
0,
0.03125,
0,
0,
0,
0,
0.08333333333333333,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03508771929824561,
0,
0,
0.0048543689320388345,
0,
0
],
"yaxis": "y8"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x9",
"y": [
0,
0,
0.010282776349614395,
0,
0.007042253521126761,
0.017045454545454544,
0.022321428571428572,
0,
0.00819672131147541,
0.006329113924050633,
0.008849557522123894,
0.041666666666666664,
0,
0,
0.04,
0.0196078431372549,
0.012135922330097087,
0,
0,
0,
0.011363636363636364,
0.021739130434782608,
0.046511627906976744,
0.025210084033613446,
0,
0.016,
0.014084507042253521,
0.02127659574468085,
0.010676156583629894,
0,
0.017241379310344827,
0,
0.005235602094240838,
0.02702702702702703,
0.020172910662824207,
0.02,
0.02,
0,
0,
0,
0,
0.07142857142857142,
0,
0.0625,
0.020202020202020204,
0.01834862385321101,
0,
0,
0,
0.022727272727272728,
0,
0,
0,
0,
0,
0,
0,
0.017857142857142856,
0.028169014084507043,
0,
0,
0,
0.07692307692307693,
0,
0,
0.03389830508474576,
0,
0.021739130434782608,
0,
0,
0,
0,
0.3333333333333333,
0,
0,
0,
0,
0,
0,
0.018867924528301886,
0.0273972602739726,
0.047619047619047616,
0.1,
0,
0.01652892561983471,
0.02631578947368421,
0.07692307692307693,
0.03571428571428571,
0,
0,
0,
0,
0,
0,
0,
0.047619047619047616,
0.017543859649122806,
0.01048951048951049,
0,
0,
0,
0.0041841004184100415,
0,
0.08695652173913043,
0,
0.009615384615384616,
0,
0,
0.02586206896551724,
0,
0.047619047619047616,
0,
0,
0,
0,
0.04032258064516129,
0,
0.018867924528301886,
0,
0.014705882352941176,
0,
0.01818181818181818,
0.03389830508474576,
0.03571428571428571,
0,
0.011494252873563218,
0,
0,
0.02040816326530612,
0.006944444444444444,
0.011695906432748537,
0.047619047619047616,
0,
0,
0.008849557522123894,
0.03225806451612903,
0,
0.0625,
0,
0,
0.01098901098901099,
0,
0.05555555555555555,
0.021956087824351298,
0,
0,
0.017341040462427744,
0.009365244536940686,
0.0057553956834532375,
0,
0.003968253968253968,
0,
0.004545454545454545,
0.0136986301369863,
0.00816326530612245,
0,
0.03289473684210526,
0.005405405405405406,
0.005333333333333333,
0,
0.016666666666666666,
0.06060606060606061,
0.03125,
0,
0.020785219399538105,
0.019762845849802372,
0,
0,
0.009174311926605505,
0.014492753623188406,
0.012195121951219513,
0,
0.004784688995215311,
0,
0.01485148514851485,
0.014446227929373997,
0,
0,
0,
0.013452914798206279,
0,
0.024305555555555556,
0.05555555555555555,
0.0196078431372549,
0.005291005291005291,
0,
0,
0,
0.014084507042253521,
0,
0.04310344827586207,
0,
0.015503875968992248,
0.02032520325203252,
0,
0,
0.003838771593090211,
0,
0.010256410256410256,
0,
0.003968253968253968,
0.00558659217877095,
0.012345679012345678,
0,
0,
0.014760147601476014,
0.011627906976744186,
0.03424657534246575,
0.00927643784786642,
0.013157894736842105,
0,
0,
0.01522248243559719,
0.012096774193548387,
0.03333333333333333,
0,
0,
0.0196078431372549,
0,
0.018867924528301886,
0.029411764705882353,
0.018779342723004695,
0.008912655971479501,
0.004830917874396135,
0,
0.02247191011235955,
0,
0,
0,
0,
0,
0.005660377358490566,
0.03571428571428571,
0,
0.01694915254237288,
0,
0,
0,
0,
0,
0,
0.015873015873015872,
0,
0,
0.045454545454545456,
0,
0,
0.05952380952380952,
0,
0.024390243902439025,
0.023148148148148147,
0,
0.014492753623188406,
0,
0.047619047619047616,
0,
0,
0,
0,
0.03225806451612903,
0,
0,
0,
0,
0,
0.023809523809523808,
0,
0,
0,
0,
0,
0.03508771929824561,
0,
0,
0.009708737864077669,
0,
0
],
"yaxis": "y9"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x10",
"y": [
0.05,
0,
0.015424164524421594,
0,
0.007042253521126761,
0.03409090909090909,
0.008928571428571428,
0.009615384615384616,
0.01912568306010929,
0.0379746835443038,
0.004424778761061947,
0.041666666666666664,
0,
0,
0.02,
0.02287581699346405,
0.019417475728155338,
0.2,
0.037037037037037035,
0.05555555555555555,
0.056818181818181816,
0.06521739130434782,
0.046511627906976744,
0.03361344537815126,
0.017341040462427744,
0.032,
0.028169014084507043,
0.06382978723404255,
0.05693950177935943,
0.025974025974025976,
0.02586206896551724,
0.031746031746031744,
0.02617801047120419,
0.06756756756756757,
0.04610951008645533,
0.04666666666666667,
0,
0.029411764705882353,
0.045454545454545456,
0.06666666666666667,
0.13636363636363635,
0.07142857142857142,
0,
0,
0.050505050505050504,
0.03669724770642202,
0.034482758620689655,
0.01904761904761905,
0.02040816326530612,
0,
0,
0.038461538461538464,
0,
0.02857142857142857,
0.02127659574468085,
0,
0,
0.017857142857142856,
0.04225352112676056,
0.028089887640449437,
0.05263157894736842,
0,
0,
0.05263157894736842,
0.07142857142857142,
0.03389830508474576,
0,
0.06521739130434782,
0,
0,
0,
0,
0.16666666666666666,
0,
0.04,
0,
0,
0,
0,
0.018867924528301886,
0.0273972602739726,
0.09523809523809523,
0.1,
0.06557377049180328,
0.024793388429752067,
0.039473684210526314,
0.07692307692307693,
0.03571428571428571,
0,
0.09090909090909091,
0.08333333333333333,
0,
0,
0,
0,
0.015873015873015872,
0.017543859649122806,
0.024475524475524476,
0.03571428571428571,
0.06666666666666667,
0,
0.016736401673640166,
0.03571428571428571,
0.043478260869565216,
0,
0,
0.047619047619047616,
0,
0.017241379310344827,
0.03125,
0,
0.022727272727272728,
0.022222222222222223,
0,
0.023809523809523808,
0.03225806451612903,
0,
0.031446540880503145,
0.045454545454545456,
0.024509803921568627,
0.027777777777777776,
0.03636363636363636,
0.05084745762711865,
0.03571428571428571,
0.08,
0.034482758620689655,
0.047619047619047616,
0.08333333333333333,
0.013605442176870748,
0.006944444444444444,
0.011695906432748537,
0.047619047619047616,
0,
0.025906735751295335,
0.008849557522123894,
0.03225806451612903,
0,
0.0625,
0,
0.03225806451612903,
0.04395604395604396,
0.07142857142857142,
0.015873015873015872,
0.005988023952095809,
0.023529411764705882,
0,
0.023121387283236993,
0.015608740894901144,
0.02302158273381295,
0,
0.03571428571428571,
0.1,
0.013636363636363636,
0.0410958904109589,
0.01904761904761905,
0.020833333333333332,
0.006578947368421052,
0.010810810810810811,
0.018666666666666668,
0,
0.022222222222222223,
0.030303030303030304,
0,
0,
0.03002309468822171,
0.019762845849802372,
0,
0.11764705882352941,
0.03211009174311927,
0.043478260869565216,
0.024390243902439025,
0.029411764705882353,
0.023923444976076555,
0.05172413793103448,
0.01485148514851485,
0.014446227929373997,
0.11764705882352941,
0.024844720496894408,
0,
0.02914798206278027,
0.012658227848101266,
0.024305555555555556,
0,
0.0392156862745098,
0.021164021164021163,
0.02857142857142857,
0.05,
0.013513513513513514,
0.014084507042253521,
0.027777777777777776,
0.02586206896551724,
0.14285714285714285,
0.015503875968992248,
0.028455284552845527,
0.009009009009009009,
0.029411764705882353,
0.01727447216890595,
0.058823529411764705,
0.03076923076923077,
0.008403361344537815,
0.007936507936507936,
0.00558659217877095,
0.012345679012345678,
0,
0.02040816326530612,
0.0036900369003690036,
0,
0.0547945205479452,
0.03153988868274583,
0.02631578947368421,
0,
0.07692307692307693,
0.01639344262295082,
0.016129032258064516,
0,
0,
0.02857142857142857,
0.006535947712418301,
0.02768166089965398,
0.018867924528301886,
0.0196078431372549,
0.018779342723004695,
0.012477718360071301,
0.004830917874396135,
0,
0.011235955056179775,
0.012987012987012988,
0.030303030303030304,
0,
0.03125,
0,
0.018867924528301886,
0,
0,
0.00847457627118644,
0.00909090909090909,
0.08333333333333333,
0,
0,
0,
0.019230769230769232,
0.015873015873015872,
0,
0,
0,
0.03125,
0.03571428571428571,
0.011904761904761904,
0,
0,
0.027777777777777776,
0.07407407407407407,
0.057971014492753624,
0.015873015873015872,
0,
0,
0.03125,
0,
0,
0,
0.05263157894736842,
0,
0,
0,
0,
0,
0,
0.047619047619047616,
0.045454545454545456,
0,
0,
0.03508771929824561,
0,
0,
0.009708737864077669,
0.05263157894736842,
0.16666666666666666
],
"yaxis": "y10"
}
],
"layout": {
"annotations": [
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Anger",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 1,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Anticipation",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 1,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Disgust",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.78,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Fear",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.78,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Joy",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.56,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Negative",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.56,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Positive",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.33999999999999997,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Sadness",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.33999999999999997,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Surprise",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.12,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Trust",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.12,
"yanchor": "bottom",
"yref": "paper"
}
],
"height": 1500,
"showlegend": false,
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Emotional arcs identified across the scenes in the Star-Wars-The-Empire-Strikes-Back movie <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis10": {
"anchor": "y10",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis2": {
"anchor": "y2",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis3": {
"anchor": "y3",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis4": {
"anchor": "y4",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis5": {
"anchor": "y5",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis6": {
"anchor": "y6",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis7": {
"anchor": "y7",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis8": {
"anchor": "y8",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis9": {
"anchor": "y9",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0.88,
1
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis10": {
"anchor": "x10",
"domain": [
0,
0.12
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis2": {
"anchor": "x2",
"domain": [
0.88,
1
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis3": {
"anchor": "x3",
"domain": [
0.66,
0.78
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis4": {
"anchor": "x4",
"domain": [
0.66,
0.78
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis5": {
"anchor": "x5",
"domain": [
0.44,
0.56
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis6": {
"anchor": "x6",
"domain": [
0.44,
0.56
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis7": {
"anchor": "x7",
"domain": [
0.22,
0.33999999999999997
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis8": {
"anchor": "x8",
"domain": [
0.22,
0.33999999999999997
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis9": {
"anchor": "x9",
"domain": [
0,
0.12
],
"title": {
"text": "Average Sentiment"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"e51d8941-402b-4e4c-8c95-80c7a85f5da8\" class=\"plotly-graph-div\" style=\"height:1500px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"e51d8941-402b-4e4c-8c95-80c7a85f5da8\")) {\n",
" Plotly.newPlot(\n",
" 'e51d8941-402b-4e4c-8c95-80c7a85f5da8',\n",
" [{\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x\", \"y\": [0.0, 0.0, 0.03598971722365039, 0.0, 0.02112676056338028, 0.019886363636363636, 0.0, 0.009615384615384616, 0.0, 0.006329113924050633, 0.02654867256637168, 0.0, 0.02564102564102564, 0.0, 0.04, 0.026143790849673203, 0.02669902912621359, 0.0, 0.0, 0.0, 0.0, 0.0, 0.046511627906976744, 0.012605042016806723, 0.011560693641618497, 0.024, 0.014084507042253521, 0.0, 0.014234875444839857, 0.03896103896103896, 0.008620689655172414, 0.0, 0.005235602094240838, 0.02702702702702703, 0.01729106628242075, 0.013333333333333334, 0.08, 0.0, 0.045454545454545456, 0.06666666666666667, 0.0, 0.03571428571428571, 0.0, 0.125, 0.04040404040404041, 0.0, 0.034482758620689655, 0.0380952380952381, 0.02040816326530612, 0.09090909090909091, 0.0, 0.0, 0.02857142857142857, 0.02857142857142857, 0.0, 0.03571428571428571, 0.05555555555555555, 0.03571428571428571, 0.04225352112676056, 0.0056179775280898875, 0.0, 0.0, 0.23076923076923078, 0.05263157894736842, 0.14285714285714285, 0.01694915254237288, 0.0, 0.021739130434782608, 0.0, 0.0, 0.0, 0.0, 0.16666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0273972602739726, 0.047619047619047616, 0.0, 0.0, 0.0, 0.14473684210526316, 0.038461538461538464, 0.03571428571428571, 0.0, 0.0, 0.0, 0.0, 0.0, 0.125, 0.0, 0.031746031746031744, 0.017543859649122806, 0.02097902097902098, 0.03571428571428571, 0.06666666666666667, 0.07692307692307693, 0.02092050209205021, 0.03571428571428571, 0.021739130434782608, 0.125, 0.009615384615384616, 0.0, 0.0, 0.02586206896551724, 0.03125, 0.0, 0.011363636363636364, 0.0, 0.0, 0.07142857142857142, 0.024193548387096774, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03636363636363636, 0.0, 0.0, 0.0, 0.022988505747126436, 0.0, 0.0, 0.047619047619047616, 0.013888888888888888, 0.011695906432748537, 0.047619047619047616, 0.0, 0.015544041450777202, 0.0, 0.010752688172043012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.023809523809523808, 0.015968063872255488, 0.011764705882352941, 0.0, 0.011560693641618497, 0.01040582726326743, 0.010071942446043165, 0.0, 0.007936507936507936, 0.0, 0.004545454545454545, 0.0273972602739726, 0.005442176870748299, 0.041666666666666664, 0.006578947368421052, 0.016216216216216217, 0.016, 0.0, 0.016666666666666666, 0.030303030303030304, 0.0, 0.05555555555555555, 0.03233256351039261, 0.03557312252964427, 0.0, 0.0, 0.022935779816513763, 0.0, 0.012195121951219513, 0.029411764705882353, 0.028708133971291867, 0.0, 0.01485148514851485, 0.011235955056179775, 0.0, 0.0, 0.0, 0.008968609865470852, 0.0, 0.010416666666666666, 0.05555555555555555, 0.0, 0.015873015873015872, 0.0, 0.0, 0.0, 0.014084507042253521, 0.027777777777777776, 0.008620689655172414, 0.0, 0.003875968992248062, 0.0040650406504065045, 0.0, 0.0, 0.013435700575815739, 0.058823529411764705, 0.005128205128205128, 0.04201680672268908, 0.007936507936507936, 0.0, 0.018518518518518517, 0.0, 0.0, 0.02952029520295203, 0.023255813953488372, 0.0273972602739726, 0.016697588126159554, 0.02631578947368421, 0.0, 0.0, 0.00702576112412178, 0.020161290322580645, 0.03333333333333333, 0.0, 0.02857142857142857, 0.032679738562091505, 0.010380622837370242, 0.018867924528301886, 0.0, 0.023474178403755867, 0.0213903743315508, 0.033816425120772944, 0.029411764705882353, 0.0149812734082397, 0.006493506493506494, 0.04040404040404041, 0.02631578947368421, 0.0, 0.0, 0.022641509433962263, 0.0, 0.04081632653061224, 0.00847457627118644, 0.02727272727272727, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.0, 0.0, 0.13636363636363635, 0.0, 0.03571428571428571, 0.07142857142857142, 0.0, 0.0, 0.027777777777777776, 0.037037037037037035, 0.0, 0.015873015873015872, 0.0, 0.0, 0.03125, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.023809523809523808, 0.058823529411764705, 0.0, 0.0, 0.0, 0.09090909090909091, 0.0, 0.0, 0.0, 0.014563106796116505, 0.0, 0.0], \"yaxis\": \"y\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x2\", \"y\": [0.025, 0.0, 0.017994858611825194, 0.0, 0.0, 0.017045454545454544, 0.026785714285714284, 0.0, 0.0, 0.0, 0.008849557522123894, 0.0, 0.0, 0.019417475728155338, 0.02, 0.032679738562091505, 0.019417475728155338, 0.1, 0.0, 0.0, 0.022727272727272728, 0.043478260869565216, 0.0, 0.018907563025210083, 0.017341040462427744, 0.008, 0.028169014084507043, 0.10638297872340426, 0.0035587188612099642, 0.012987012987012988, 0.008620689655172414, 0.015873015873015872, 0.005235602094240838, 0.02702702702702703, 0.005763688760806916, 0.04666666666666667, 0.0, 0.029411764705882353, 0.022727272727272728, 0.0, 0.13636363636363635, 0.07142857142857142, 0.0, 0.0, 0.0707070707070707, 0.027522935779816515, 0.06896551724137931, 0.009523809523809525, 0.02040816326530612, 0.045454545454545456, 0.0, 0.0, 0.0, 0.02857142857142857, 0.02127659574468085, 0.0, 0.0, 0.0, 0.0, 0.02247191011235955, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01694915254237288, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.16666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018867924528301886, 0.0136986301369863, 0.047619047619047616, 0.1, 0.03278688524590164, 0.03305785123966942, 0.0, 0.0, 0.0, 0.034482758620689655, 0.0, 0.0, 0.08333333333333333, 0.0, 0.125, 0.0, 0.031746031746031744, 0.017543859649122806, 0.017482517482517484, 0.0, 0.0, 0.07692307692307693, 0.012552301255230125, 0.0, 0.0, 0.0, 0.0, 0.0, 0.046875, 0.04310344827586207, 0.0, 0.0, 0.022727272727272728, 0.022222222222222223, 0.0, 0.0, 0.024193548387096774, 0.022222222222222223, 0.031446540880503145, 0.045454545454545456, 0.00980392156862745, 0.027777777777777776, 0.01818181818181818, 0.0847457627118644, 0.05357142857142857, 0.04, 0.028735632183908046, 0.047619047619047616, 0.08333333333333333, 0.013605442176870748, 0.020833333333333332, 0.017543859649122806, 0.047619047619047616, 0.0, 0.015544041450777202, 0.008849557522123894, 0.03225806451612903, 0.0, 0.0625, 0.022222222222222223, 0.0, 0.04395604395604396, 0.0, 0.03968253968253968, 0.01996007984031936, 0.023529411764705882, 0.0, 0.02601156069364162, 0.01664932362122789, 0.015827338129496403, 0.07142857142857142, 0.031746031746031744, 0.1, 0.0, 0.0410958904109589, 0.024489795918367346, 0.08333333333333333, 0.013157894736842105, 0.016216216216216217, 0.029333333333333333, 0.028985507246376812, 0.03888888888888889, 0.030303030303030304, 0.03125, 0.0, 0.03233256351039261, 0.019762845849802372, 0.0, 0.058823529411764705, 0.03211009174311927, 0.028985507246376812, 0.06097560975609756, 0.058823529411764705, 0.028708133971291867, 0.05172413793103448, 0.024752475247524754, 0.019261637239165328, 0.11764705882352941, 0.006211180124223602, 0.07407407407407407, 0.01569506726457399, 0.02531645569620253, 0.020833333333333332, 0.0, 0.0196078431372549, 0.042328042328042326, 0.02857142857142857, 0.0, 0.0, 0.014084507042253521, 0.0, 0.02586206896551724, 0.0, 0.027131782945736434, 0.032520325203252036, 0.0, 0.029411764705882353, 0.023032629558541268, 0.0, 0.02564102564102564, 0.0, 0.007936507936507936, 0.027932960893854747, 0.012345679012345678, 0.0, 0.0, 0.0036900369003690036, 0.011627906976744186, 0.0410958904109589, 0.016697588126159554, 0.02631578947368421, 0.0, 0.0, 0.01873536299765808, 0.016129032258064516, 0.0, 0.03125, 0.02857142857142857, 0.0196078431372549, 0.0034602076124567475, 0.03773584905660377, 0.029411764705882353, 0.03286384976525822, 0.012477718360071301, 0.00966183574879227, 0.0, 0.0, 0.006493506493506494, 0.050505050505050504, 0.02631578947368421, 0.0625, 0.0, 0.016981132075471698, 0.0, 0.0, 0.0, 0.01818181818181818, 0.0, 0.022727272727272728, 0.0, 0.0, 0.019230769230769232, 0.0, 0.05555555555555555, 0.0, 0.045454545454545456, 0.0, 0.0, 0.047619047619047616, 0.0, 0.04878048780487805, 0.046296296296296294, 0.037037037037037035, 0.028985507246376812, 0.007936507936507936, 0.0, 0.029411764705882353, 0.0625, 0.0, 0.0, 0.06451612903225806, 0.05263157894736842, 0.0, 0.0, 0.0, 0.0, 0.023809523809523808, 0.0, 0.09523809523809523, 0.045454545454545456, 0.0, 0.030303030303030304, 0.05263157894736842, 0.0, 0.0, 0.014563106796116505, 0.05263157894736842, 0.0], \"yaxis\": \"y2\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x3\", \"y\": [0.0, 0.046511627906976744, 0.010282776349614395, 0.0, 0.007042253521126761, 0.011363636363636364, 0.0, 0.009615384615384616, 0.0, 0.006329113924050633, 0.017699115044247787, 0.0, 0.0, 0.0, 0.0, 0.00980392156862745, 0.021844660194174758, 0.0, 0.0, 0.0, 0.0, 0.021739130434782608, 0.11627906976744186, 0.004201680672268907, 0.005780346820809248, 0.0, 0.0, 0.02127659574468085, 0.014234875444839857, 0.0, 0.008620689655172414, 0.0, 0.0, 0.0, 0.023054755043227664, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02857142857142857, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01694915254237288, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.125, 0.0, 0.031746031746031744, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008368200836820083, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008620689655172414, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01818181818181818, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006802721088435374, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008849557522123894, 0.010752688172043012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.021956087824351298, 0.023529411764705882, 0.0, 0.002890173410404624, 0.005202913631633715, 0.010071942446043165, 0.0, 0.015873015873015872, 0.0, 0.01818181818181818, 0.0136986301369863, 0.004081632653061225, 0.0, 0.0, 0.005405405405405406, 0.005333333333333333, 0.007246376811594203, 0.005555555555555556, 0.0, 0.03125, 0.0, 0.025404157043879907, 0.015810276679841896, 0.0, 0.0, 0.022935779816513763, 0.0, 0.0, 0.0, 0.004784688995215311, 0.0, 0.01485148514851485, 0.019261637239165328, 0.0, 0.018633540372670808, 0.0, 0.002242152466367713, 0.0, 0.006944444444444444, 0.0, 0.0, 0.005291005291005291, 0.0, 0.0, 0.0, 0.028169014084507043, 0.0, 0.008620689655172414, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007677543186180422, 0.0, 0.0, 0.0, 0.011904761904761904, 0.0, 0.012345679012345678, 0.0, 0.0, 0.007380073800738007, 0.011627906976744186, 0.03424657534246575, 0.0074211502782931356, 0.019736842105263157, 0.0, 0.0, 0.00585480093676815, 0.004032258064516129, 0.0, 0.03125, 0.0, 0.006535947712418301, 0.0, 0.0, 0.00980392156862745, 0.004694835680751174, 0.0071301247771836, 0.0, 0.0, 0.00749063670411985, 0.0, 0.020202020202020204, 0.0, 0.0, 0.0, 0.0037735849056603774, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022727272727272728, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.023809523809523808, 0.0, 0.0, 0.009259259259259259, 0.0, 0.043478260869565216, 0.0, 0.0, 0.0, 0.03125, 0.0, 0.0, 0.03225806451612903, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011904761904761904, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009708737864077669, 0.0, 0.0], \"yaxis\": \"y3\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x4\", \"y\": [0.0, 0.023255813953488372, 0.030848329048843187, 0.0, 0.02112676056338028, 0.019886363636363636, 0.008928571428571428, 0.0, 0.00273224043715847, 0.012658227848101266, 0.03982300884955752, 0.0, 0.0, 0.0, 0.04, 0.032679738562091505, 0.03155339805825243, 0.1, 0.0, 0.0, 0.0, 0.021739130434782608, 0.023255813953488372, 0.02100840336134454, 0.011560693641618497, 0.032, 0.014084507042253521, 0.02127659574468085, 0.021352313167259787, 0.05194805194805195, 0.034482758620689655, 0.0, 0.010471204188481676, 0.05405405405405406, 0.0345821325648415, 0.02, 0.08, 0.029411764705882353, 0.045454545454545456, 0.06666666666666667, 0.0, 0.03571428571428571, 0.1111111111111111, 0.1875, 0.04040404040404041, 0.0, 0.034482758620689655, 0.0380952380952381, 0.0, 0.06818181818181818, 0.0, 0.0, 0.02857142857142857, 0.08571428571428572, 0.0, 0.07142857142857142, 0.1111111111111111, 0.07142857142857142, 0.08450704225352113, 0.02247191011235955, 0.0, 0.018867924528301886, 0.23076923076923078, 0.05263157894736842, 0.07142857142857142, 0.05084745762711865, 0.0, 0.021739130434782608, 0.0, 0.0, 0.03125, 0.0, 0.16666666666666666, 0.02702702702702703, 0.0, 0.05263157894736842, 0.038461538461538464, 0.0, 0.0, 0.05660377358490566, 0.0547945205479452, 0.047619047619047616, 0.0, 0.0, 0.008264462809917356, 0.13157894736842105, 0.11538461538461539, 0.03571428571428571, 0.034482758620689655, 0.0, 0.0, 0.08333333333333333, 0.0, 0.375, 0.0, 0.047619047619047616, 0.017543859649122806, 0.01048951048951049, 0.07142857142857142, 0.2, 0.15384615384615385, 0.04184100418410042, 0.03571428571428571, 0.15217391304347827, 0.125, 0.0, 0.0, 0.0, 0.02586206896551724, 0.0, 0.047619047619047616, 0.011363636363636364, 0.011111111111111112, 0.05555555555555555, 0.09523809523809523, 0.024193548387096774, 0.022222222222222223, 0.0, 0.045454545454545456, 0.004901960784313725, 0.0, 0.01818181818181818, 0.01694915254237288, 0.03571428571428571, 0.0, 0.017241379310344827, 0.0, 0.0, 0.013605442176870748, 0.006944444444444444, 0.011695906432748537, 0.047619047619047616, 0.0, 0.015544041450777202, 0.017699115044247787, 0.010752688172043012, 0.09090909090909091, 0.0, 0.0, 0.0, 0.01098901098901099, 0.0, 0.047619047619047616, 0.02594810379241517, 0.01764705882352941, 0.0, 0.011560693641618497, 0.023933402705515087, 0.017266187050359712, 0.07142857142857142, 0.003968253968253968, 0.0, 0.01818181818181818, 0.0, 0.006802721088435374, 0.0, 0.006578947368421052, 0.021621621621621623, 0.021333333333333333, 0.0, 0.016666666666666666, 0.06060606060606061, 0.0625, 0.0, 0.020785219399538105, 0.04743083003952569, 0.0, 0.058823529411764705, 0.04128440366972477, 0.043478260869565216, 0.024390243902439025, 0.0, 0.014354066985645933, 0.017241379310344827, 0.024752475247524754, 0.016051364365971106, 0.0, 0.006211180124223602, 0.0, 0.004484304932735426, 0.0, 0.03125, 0.05555555555555555, 0.0, 0.015873015873015872, 0.0, 0.05, 0.0, 0.04225352112676056, 0.027777777777777776, 0.008620689655172414, 0.0, 0.003875968992248062, 0.016260162601626018, 0.0, 0.029411764705882353, 0.02111324376199616, 0.0, 0.0, 0.025210084033613446, 0.01984126984126984, 0.027932960893854747, 0.024691358024691357, 0.0, 0.0, 0.033210332103321034, 0.011627906976744186, 0.02054794520547945, 0.025974025974025976, 0.019736842105263157, 0.0, 0.07692307692307693, 0.02224824355971897, 0.04435483870967742, 0.05, 0.03125, 0.05714285714285714, 0.026143790849673203, 0.01730103806228374, 0.05660377358490566, 0.0196078431372549, 0.03286384976525822, 0.0196078431372549, 0.024154589371980676, 0.029411764705882353, 0.018726591760299626, 0.032467532467532464, 0.030303030303030304, 0.02631578947368421, 0.03125, 0.03571428571428571, 0.018867924528301886, 0.0, 0.02040816326530612, 0.0, 0.02727272727272727, 0.0, 0.045454545454545456, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09090909090909091, 0.13636363636363635, 0.0, 0.07142857142857142, 0.047619047619047616, 0.0, 0.0, 0.032407407407407406, 0.037037037037037035, 0.0, 0.007936507936507936, 0.0, 0.029411764705882353, 0.03125, 0.0, 0.0, 0.03225806451612903, 0.0, 0.08333333333333333, 0.0, 0.0, 0.0, 0.011904761904761904, 0.058823529411764705, 0.0, 0.0, 0.03225806451612903, 0.12121212121212122, 0.017543859649122806, 0.0, 0.0, 0.024271844660194174, 0.0, 0.0], \"yaxis\": \"y4\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x5\", \"y\": [0.025, 0.0, 0.002570694087403599, 0.0, 0.0, 0.008522727272727272, 0.022321428571428572, 0.0, 0.00273224043715847, 0.006329113924050633, 0.008849557522123894, 0.0, 0.0, 0.0, 0.02, 0.00980392156862745, 0.0048543689320388345, 0.1, 0.0, 0.0, 0.03409090909090909, 0.0, 0.023255813953488372, 0.0273109243697479, 0.011560693641618497, 0.0, 0.028169014084507043, 0.0425531914893617, 0.0071174377224199285, 0.0, 0.0, 0.0, 0.015706806282722512, 0.013513513513513514, 0.0, 0.02, 0.0, 0.0, 0.0, 0.0, 0.13636363636363635, 0.03571428571428571, 0.0, 0.0625, 0.050505050505050504, 0.027522935779816515, 0.0, 0.009523809523809525, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0056179775280898875, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.16666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0136986301369863, 0.047619047619047616, 0.1, 0.0, 0.024793388429752067, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017543859649122806, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011111111111111112, 0.0, 0.0, 0.024193548387096774, 0.0, 0.025157232704402517, 0.045454545454545456, 0.014705882352941176, 0.027777777777777776, 0.00909090909090909, 0.05084745762711865, 0.03571428571428571, 0.04, 0.011494252873563218, 0.047619047619047616, 0.08333333333333333, 0.0, 0.006944444444444444, 0.0, 0.047619047619047616, 0.0, 0.0051813471502590676, 0.0, 0.03225806451612903, 0.0, 0.0625, 0.0, 0.0, 0.03296703296703297, 0.0, 0.007936507936507936, 0.00998003992015968, 0.0, 0.0, 0.011560693641618497, 0.019771071800208116, 0.007194244604316547, 0.0, 0.015873015873015872, 0.1, 0.0, 0.0410958904109589, 0.010884353741496598, 0.020833333333333332, 0.019736842105263157, 0.0, 0.0026666666666666666, 0.0, 0.022222222222222223, 0.030303030303030304, 0.0, 0.0, 0.023094688221709007, 0.015810276679841896, 0.0, 0.058823529411764705, 0.009174311926605505, 0.028985507246376812, 0.024390243902439025, 0.029411764705882353, 0.009569377990430622, 0.034482758620689655, 0.0, 0.009630818619582664, 0.11764705882352941, 0.006211180124223602, 0.018518518518518517, 0.013452914798206279, 0.012658227848101266, 0.013888888888888888, 0.0, 0.0, 0.010582010582010581, 0.02857142857142857, 0.0, 0.0, 0.0, 0.027777777777777776, 0.034482758620689655, 0.14285714285714285, 0.015503875968992248, 0.036585365853658534, 0.0, 0.0, 0.007677543186180422, 0.058823529411764705, 0.02564102564102564, 0.0, 0.007936507936507936, 0.00558659217877095, 0.006172839506172839, 0.0, 0.0, 0.0, 0.0, 0.0273972602739726, 0.014842300556586271, 0.013157894736842105, 0.0, 0.0, 0.0117096018735363, 0.004032258064516129, 0.0, 0.0, 0.0, 0.013071895424836602, 0.0034602076124567475, 0.0, 0.0196078431372549, 0.004694835680751174, 0.012477718360071301, 0.004830917874396135, 0.0, 0.0, 0.006493506493506494, 0.0, 0.0, 0.0, 0.0, 0.005660377358490566, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.027777777777777776, 0.0, 0.0, 0.0, 0.0, 0.03571428571428571, 0.0, 0.024390243902439025, 0.009259259259259259, 0.037037037037037035, 0.028985507246376812, 0.007936507936507936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05263157894736842, 0.0, 0.0, 0.0, 0.09090909090909091, 0.0, 0.0, 0.0, 0.045454545454545456, 0.0, 0.0, 0.03508771929824561, 0.0, 0.0, 0.0048543689320388345, 0.02631578947368421, 0.0], \"yaxis\": \"y5\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x6\", \"y\": [0.0, 0.06976744186046512, 0.061696658097686374, 0.0, 0.028169014084507043, 0.022727272727272728, 0.008928571428571428, 0.009615384615384616, 0.00819672131147541, 0.0189873417721519, 0.04424778761061947, 0.041666666666666664, 0.07692307692307693, 0.04854368932038835, 0.04, 0.05228758169934641, 0.04854368932038835, 0.0, 0.0, 0.05555555555555555, 0.0, 0.06521739130434782, 0.09302325581395349, 0.023109243697478993, 0.017341040462427744, 0.04, 0.028169014084507043, 0.0425531914893617, 0.02491103202846975, 0.06493506493506493, 0.02586206896551724, 0.031746031746031744, 0.015706806282722512, 0.06756756756756757, 0.05187319884726225, 0.02, 0.08, 0.0, 0.045454545454545456, 0.06666666666666667, 0.0, 0.03571428571428571, 0.0, 0.125, 0.06060606060606061, 0.0, 0.10344827586206896, 0.05714285714285714, 0.061224489795918366, 0.11363636363636363, 0.0, 0.0, 0.05714285714285714, 0.05714285714285714, 0.0, 0.07142857142857142, 0.05555555555555555, 0.05357142857142857, 0.08450704225352113, 0.0056179775280898875, 0.0, 0.018867924528301886, 0.23076923076923078, 0.05263157894736842, 0.14285714285714285, 0.03389830508474576, 0.0, 0.043478260869565216, 0.0, 0.0, 0.0, 0.0, 0.16666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03773584905660377, 0.0547945205479452, 0.047619047619047616, 0.0, 0.0, 0.024793388429752067, 0.14473684210526316, 0.038461538461538464, 0.07142857142857142, 0.034482758620689655, 0.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.06349206349206349, 0.03508771929824561, 0.03146853146853147, 0.10714285714285714, 0.06666666666666667, 0.15384615384615385, 0.04184100418410042, 0.03571428571428571, 0.021739130434782608, 0.125, 0.028846153846153848, 0.0, 0.0625, 0.05172413793103448, 0.0625, 0.047619047619047616, 0.022727272727272728, 0.0, 0.0, 0.07142857142857142, 0.03225806451612903, 0.0, 0.018867924528301886, 0.0, 0.014705882352941176, 0.0, 0.03636363636363636, 0.0, 0.017857142857142856, 0.0, 0.022988505747126436, 0.0, 0.0, 0.06802721088435375, 0.013888888888888888, 0.023391812865497075, 0.047619047619047616, 0.0, 0.025906735751295335, 0.008849557522123894, 0.010752688172043012, 0.0, 0.0, 0.022222222222222223, 0.0, 0.0, 0.0, 0.05555555555555555, 0.033932135728542916, 0.06470588235294118, 0.0, 0.028901734104046242, 0.02497398543184183, 0.017266187050359712, 0.07142857142857142, 0.031746031746031744, 0.0, 0.04090909090909091, 0.0547945205479452, 0.014965986394557823, 0.08333333333333333, 0.013157894736842105, 0.02702702702702703, 0.034666666666666665, 0.007246376811594203, 0.03333333333333333, 0.06060606060606061, 0.0625, 0.05555555555555555, 0.03233256351039261, 0.05138339920948617, 0.0, 0.0, 0.05963302752293578, 0.028985507246376812, 0.036585365853658534, 0.029411764705882353, 0.05263157894736842, 0.034482758620689655, 0.039603960396039604, 0.025682182985553772, 0.0, 0.037267080745341616, 0.0, 0.02466367713004484, 0.0379746835443038, 0.041666666666666664, 0.05555555555555555, 0.0, 0.026455026455026454, 0.0, 0.0, 0.0, 0.04225352112676056, 0.027777777777777776, 0.008620689655172414, 0.0, 0.01937984496124031, 0.028455284552845527, 0.0, 0.029411764705882353, 0.026871401151631478, 0.0, 0.010256410256410256, 0.06722689075630252, 0.03571428571428571, 0.0446927374301676, 0.043209876543209874, 0.0, 0.0, 0.03690036900369004, 0.03488372093023256, 0.04794520547945205, 0.04823747680890538, 0.03289473684210526, 0.0, 0.0, 0.02810304449648712, 0.024193548387096774, 0.03333333333333333, 0.0, 0.02857142857142857, 0.032679738562091505, 0.01384083044982699, 0.03773584905660377, 0.029411764705882353, 0.028169014084507043, 0.0285204991087344, 0.033816425120772944, 0.058823529411764705, 0.026217228464419477, 0.032467532467532464, 0.06060606060606061, 0.02631578947368421, 0.0, 0.0, 0.033962264150943396, 0.07142857142857142, 0.061224489795918366, 0.0423728813559322, 0.03636363636363636, 0.0, 0.022727272727272728, 0.0, 0.0, 0.0, 0.047619047619047616, 0.05555555555555555, 0.0, 0.13636363636363635, 0.0, 0.07142857142857142, 0.09523809523809523, 0.0, 0.024390243902439025, 0.041666666666666664, 0.07407407407407407, 0.043478260869565216, 0.031746031746031744, 0.0, 0.029411764705882353, 0.0625, 0.0, 0.0, 0.03225806451612903, 0.0, 0.08333333333333333, 0.0, 0.0, 0.0, 0.023809523809523808, 0.058823529411764705, 0.0, 0.0, 0.03225806451612903, 0.09090909090909091, 0.017543859649122806, 0.0, 0.0, 0.024271844660194174, 0.0, 0.0], \"yaxis\": \"y6\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x7\", \"y\": [0.05, 0.023255813953488372, 0.028277634961439587, 0.0625, 0.02112676056338028, 0.03977272727272727, 0.03125, 0.028846153846153848, 0.040983606557377046, 0.0379746835443038, 0.030973451327433628, 0.0, 0.0, 0.019417475728155338, 0.06, 0.049019607843137254, 0.03155339805825243, 0.2, 0.037037037037037035, 0.05555555555555555, 0.056818181818181816, 0.08695652173913043, 0.023255813953488372, 0.04831932773109244, 0.028901734104046242, 0.016, 0.028169014084507043, 0.0851063829787234, 0.0498220640569395, 0.07792207792207792, 0.02586206896551724, 0.031746031746031744, 0.03664921465968586, 0.05405405405405406, 0.06628242074927954, 0.04666666666666667, 0.0, 0.029411764705882353, 0.045454545454545456, 0.0, 0.22727272727272727, 0.10714285714285714, 0.0, 0.0625, 0.0707070707070707, 0.05504587155963303, 0.06896551724137931, 0.009523809523809525, 0.02040816326530612, 0.045454545454545456, 0.0, 0.07692307692307693, 0.0, 0.0, 0.0425531914893617, 0.03571428571428571, 0.0, 0.017857142857142856, 0.04225352112676056, 0.028089887640449437, 0.05263157894736842, 0.018867924528301886, 0.0, 0.0, 0.07142857142857142, 0.06779661016949153, 0.0, 0.043478260869565216, 0.0, 0.0, 0.0, 0.0, 0.16666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0136986301369863, 0.047619047619047616, 0.1, 0.06557377049180328, 0.049586776859504134, 0.039473684210526314, 0.07692307692307693, 0.0, 0.0, 0.09090909090909091, 0.0, 0.08333333333333333, 0.0, 0.0, 0.0, 0.031746031746031744, 0.03508771929824561, 0.03496503496503497, 0.0, 0.06666666666666667, 0.0, 0.02092050209205021, 0.0, 0.08695652173913043, 0.0, 0.028846153846153848, 0.0, 0.03125, 0.04310344827586207, 0.03125, 0.047619047619047616, 0.056818181818181816, 0.022222222222222223, 0.0, 0.023809523809523808, 0.04838709677419355, 0.022222222222222223, 0.03773584905660377, 0.045454545454545456, 0.0196078431372549, 0.027777777777777776, 0.02727272727272727, 0.05084745762711865, 0.07142857142857142, 0.12, 0.04597701149425287, 0.047619047619047616, 0.08333333333333333, 0.02040816326530612, 0.034722222222222224, 0.011695906432748537, 0.047619047619047616, 0.0, 0.031088082901554404, 0.008849557522123894, 0.053763440860215055, 0.0, 0.0625, 0.0, 0.0, 0.06593406593406594, 0.0, 0.047619047619047616, 0.021956087824351298, 0.029411764705882353, 0.037037037037037035, 0.031791907514450865, 0.03850156087408949, 0.02877697841726619, 0.07142857142857142, 0.05555555555555555, 0.25, 0.031818181818181815, 0.0410958904109589, 0.027210884353741496, 0.0625, 0.05263157894736842, 0.016216216216216217, 0.02666666666666667, 0.021739130434782608, 0.07777777777777778, 0.030303030303030304, 0.0, 0.0, 0.04157043879907621, 0.043478260869565216, 0.06666666666666667, 0.11764705882352941, 0.03669724770642202, 0.057971014492753624, 0.024390243902439025, 0.029411764705882353, 0.05741626794258373, 0.034482758620689655, 0.04455445544554455, 0.03210272873194221, 0.17647058823529413, 0.062111801242236024, 0.037037037037037035, 0.03139013452914798, 0.012658227848101266, 0.03125, 0.0, 0.0, 0.042328042328042326, 0.05714285714285714, 0.1, 0.013513513513513514, 0.08450704225352113, 0.027777777777777776, 0.04310344827586207, 0.14285714285714285, 0.03488372093023256, 0.044715447154471545, 0.02702702702702703, 0.029411764705882353, 0.028790786948176585, 0.058823529411764705, 0.046153846153846156, 0.008403361344537815, 0.023809523809523808, 0.01675977653631285, 0.030864197530864196, 0.0, 0.04081632653061224, 0.0036900369003690036, 0.011627906976744186, 0.07534246575342465, 0.029684601113172542, 0.05921052631578947, 0.0, 0.07692307692307693, 0.03278688524590164, 0.024193548387096774, 0.0, 0.03125, 0.05714285714285714, 0.026143790849673203, 0.031141868512110725, 0.03773584905660377, 0.0196078431372549, 0.046948356807511735, 0.035650623885918005, 0.024154589371980676, 0.0, 0.011235955056179775, 0.025974025974025976, 0.04040404040404041, 0.0, 0.0625, 0.07142857142857142, 0.022641509433962263, 0.0, 0.02040816326530612, 0.00847457627118644, 0.00909090909090909, 0.08333333333333333, 0.06818181818181818, 0.0, 0.0, 0.038461538461538464, 0.0, 0.027777777777777776, 0.0, 0.045454545454545456, 0.0, 0.03571428571428571, 0.05952380952380952, 0.0, 0.07317073170731707, 0.041666666666666664, 0.07407407407407407, 0.07246376811594203, 0.007936507936507936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05263157894736842, 0.0, 0.0, 0.0, 0.09090909090909091, 0.011904761904761904, 0.0, 0.047619047619047616, 0.045454545454545456, 0.03225806451612903, 0.030303030303030304, 0.10526315789473684, 0.0, 0.09090909090909091, 0.009708737864077669, 0.05263157894736842, 0.16666666666666666], \"yaxis\": \"y7\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x8\", \"y\": [0.0, 0.023255813953488372, 0.017994858611825194, 0.0, 0.007042253521126761, 0.017045454545454544, 0.004464285714285714, 0.0, 0.00819672131147541, 0.0189873417721519, 0.022123893805309734, 0.041666666666666664, 0.02564102564102564, 0.019417475728155338, 0.0, 0.02287581699346405, 0.021844660194174758, 0.0, 0.0, 0.0, 0.0, 0.0, 0.046511627906976744, 0.008403361344537815, 0.005780346820809248, 0.024, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025936599423631124, 0.006666666666666667, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009174311926605505, 0.034482758620689655, 0.009523809523809525, 0.02040816326530612, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017857142857142856, 0.0, 0.0, 0.0, 0.018867924528301886, 0.0, 0.0, 0.0, 0.0, 0.0, 0.043478260869565216, 0.0, 0.0, 0.0, 0.0, 0.16666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018867924528301886, 0.0136986301369863, 0.0, 0.0, 0.0, 0.008264462809917356, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.125, 0.0, 0.0, 0.0, 0.006993006993006993, 0.03571428571428571, 0.0, 0.0, 0.008368200836820083, 0.0, 0.0, 0.0, 0.009615384615384616, 0.0, 0.0, 0.02586206896551724, 0.03125, 0.047619047619047616, 0.0, 0.011111111111111112, 0.0, 0.0, 0.008064516129032258, 0.0, 0.012578616352201259, 0.0, 0.004901960784313725, 0.0, 0.01818181818181818, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013605442176870748, 0.006944444444444444, 0.005847953216374269, 0.0, 0.0, 0.010362694300518135, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.017964071856287425, 0.03529411764705882, 0.07407407407407407, 0.005780346820809248, 0.009365244536940686, 0.004316546762589928, 0.0, 0.003968253968253968, 0.0, 0.02727272727272727, 0.0, 0.0013605442176870747, 0.0, 0.006578947368421052, 0.010810810810810811, 0.010666666666666666, 0.007246376811594203, 0.016666666666666666, 0.0, 0.0, 0.0, 0.023094688221709007, 0.03162055335968379, 0.0, 0.0, 0.01834862385321101, 0.0, 0.0, 0.0, 0.019138755980861243, 0.0, 0.009900990099009901, 0.004815409309791332, 0.0, 0.024844720496894408, 0.0, 0.002242152466367713, 0.0, 0.03125, 0.0, 0.0, 0.005291005291005291, 0.0, 0.0, 0.0, 0.028169014084507043, 0.0, 0.0, 0.0, 0.003875968992248062, 0.012195121951219513, 0.0, 0.0, 0.019193857965451054, 0.0, 0.005128205128205128, 0.01680672268907563, 0.015873015873015872, 0.0111731843575419, 0.024691358024691357, 0.0, 0.0, 0.025830258302583026, 0.011627906976744186, 0.0273972602739726, 0.012987012987012988, 0.03289473684210526, 0.0, 0.0, 0.0117096018735363, 0.012096774193548387, 0.0, 0.0, 0.0, 0.0196078431372549, 0.006920415224913495, 0.018867924528301886, 0.00980392156862745, 0.014084507042253521, 0.0142602495543672, 0.004830917874396135, 0.029411764705882353, 0.003745318352059925, 0.006493506493506494, 0.020202020202020204, 0.0, 0.0, 0.0, 0.020754716981132074, 0.0, 0.0, 0.00847457627118644, 0.00909090909090909, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.05555555555555555, 0.0, 0.0, 0.0, 0.0, 0.011904761904761904, 0.0, 0.0, 0.013888888888888888, 0.0, 0.0, 0.007936507936507936, 0.0, 0.0, 0.03125, 0.0, 0.0, 0.0, 0.0, 0.08333333333333333, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03508771929824561, 0.0, 0.0, 0.0048543689320388345, 0.0, 0.0], \"yaxis\": \"y8\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x9\", \"y\": [0.0, 0.0, 0.010282776349614395, 0.0, 0.007042253521126761, 0.017045454545454544, 0.022321428571428572, 0.0, 0.00819672131147541, 0.006329113924050633, 0.008849557522123894, 0.041666666666666664, 0.0, 0.0, 0.04, 0.0196078431372549, 0.012135922330097087, 0.0, 0.0, 0.0, 0.011363636363636364, 0.021739130434782608, 0.046511627906976744, 0.025210084033613446, 0.0, 0.016, 0.014084507042253521, 0.02127659574468085, 0.010676156583629894, 0.0, 0.017241379310344827, 0.0, 0.005235602094240838, 0.02702702702702703, 0.020172910662824207, 0.02, 0.02, 0.0, 0.0, 0.0, 0.0, 0.07142857142857142, 0.0, 0.0625, 0.020202020202020204, 0.01834862385321101, 0.0, 0.0, 0.0, 0.022727272727272728, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017857142857142856, 0.028169014084507043, 0.0, 0.0, 0.0, 0.07692307692307693, 0.0, 0.0, 0.03389830508474576, 0.0, 0.021739130434782608, 0.0, 0.0, 0.0, 0.0, 0.3333333333333333, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018867924528301886, 0.0273972602739726, 0.047619047619047616, 0.1, 0.0, 0.01652892561983471, 0.02631578947368421, 0.07692307692307693, 0.03571428571428571, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.047619047619047616, 0.017543859649122806, 0.01048951048951049, 0.0, 0.0, 0.0, 0.0041841004184100415, 0.0, 0.08695652173913043, 0.0, 0.009615384615384616, 0.0, 0.0, 0.02586206896551724, 0.0, 0.047619047619047616, 0.0, 0.0, 0.0, 0.0, 0.04032258064516129, 0.0, 0.018867924528301886, 0.0, 0.014705882352941176, 0.0, 0.01818181818181818, 0.03389830508474576, 0.03571428571428571, 0.0, 0.011494252873563218, 0.0, 0.0, 0.02040816326530612, 0.006944444444444444, 0.011695906432748537, 0.047619047619047616, 0.0, 0.0, 0.008849557522123894, 0.03225806451612903, 0.0, 0.0625, 0.0, 0.0, 0.01098901098901099, 0.0, 0.05555555555555555, 0.021956087824351298, 0.0, 0.0, 0.017341040462427744, 0.009365244536940686, 0.0057553956834532375, 0.0, 0.003968253968253968, 0.0, 0.004545454545454545, 0.0136986301369863, 0.00816326530612245, 0.0, 0.03289473684210526, 0.005405405405405406, 0.005333333333333333, 0.0, 0.016666666666666666, 0.06060606060606061, 0.03125, 0.0, 0.020785219399538105, 0.019762845849802372, 0.0, 0.0, 0.009174311926605505, 0.014492753623188406, 0.012195121951219513, 0.0, 0.004784688995215311, 0.0, 0.01485148514851485, 0.014446227929373997, 0.0, 0.0, 0.0, 0.013452914798206279, 0.0, 0.024305555555555556, 0.05555555555555555, 0.0196078431372549, 0.005291005291005291, 0.0, 0.0, 0.0, 0.014084507042253521, 0.0, 0.04310344827586207, 0.0, 0.015503875968992248, 0.02032520325203252, 0.0, 0.0, 0.003838771593090211, 0.0, 0.010256410256410256, 0.0, 0.003968253968253968, 0.00558659217877095, 0.012345679012345678, 0.0, 0.0, 0.014760147601476014, 0.011627906976744186, 0.03424657534246575, 0.00927643784786642, 0.013157894736842105, 0.0, 0.0, 0.01522248243559719, 0.012096774193548387, 0.03333333333333333, 0.0, 0.0, 0.0196078431372549, 0.0, 0.018867924528301886, 0.029411764705882353, 0.018779342723004695, 0.008912655971479501, 0.004830917874396135, 0.0, 0.02247191011235955, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005660377358490566, 0.03571428571428571, 0.0, 0.01694915254237288, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.0, 0.0, 0.045454545454545456, 0.0, 0.0, 0.05952380952380952, 0.0, 0.024390243902439025, 0.023148148148148147, 0.0, 0.014492753623188406, 0.0, 0.047619047619047616, 0.0, 0.0, 0.0, 0.0, 0.03225806451612903, 0.0, 0.0, 0.0, 0.0, 0.0, 0.023809523809523808, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03508771929824561, 0.0, 0.0, 0.009708737864077669, 0.0, 0.0], \"yaxis\": \"y9\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x10\", \"y\": [0.05, 0.0, 0.015424164524421594, 0.0, 0.007042253521126761, 0.03409090909090909, 0.008928571428571428, 0.009615384615384616, 0.01912568306010929, 0.0379746835443038, 0.004424778761061947, 0.041666666666666664, 0.0, 0.0, 0.02, 0.02287581699346405, 0.019417475728155338, 0.2, 0.037037037037037035, 0.05555555555555555, 0.056818181818181816, 0.06521739130434782, 0.046511627906976744, 0.03361344537815126, 0.017341040462427744, 0.032, 0.028169014084507043, 0.06382978723404255, 0.05693950177935943, 0.025974025974025976, 0.02586206896551724, 0.031746031746031744, 0.02617801047120419, 0.06756756756756757, 0.04610951008645533, 0.04666666666666667, 0.0, 0.029411764705882353, 0.045454545454545456, 0.06666666666666667, 0.13636363636363635, 0.07142857142857142, 0.0, 0.0, 0.050505050505050504, 0.03669724770642202, 0.034482758620689655, 0.01904761904761905, 0.02040816326530612, 0.0, 0.0, 0.038461538461538464, 0.0, 0.02857142857142857, 0.02127659574468085, 0.0, 0.0, 0.017857142857142856, 0.04225352112676056, 0.028089887640449437, 0.05263157894736842, 0.0, 0.0, 0.05263157894736842, 0.07142857142857142, 0.03389830508474576, 0.0, 0.06521739130434782, 0.0, 0.0, 0.0, 0.0, 0.16666666666666666, 0.0, 0.04, 0.0, 0.0, 0.0, 0.0, 0.018867924528301886, 0.0273972602739726, 0.09523809523809523, 0.1, 0.06557377049180328, 0.024793388429752067, 0.039473684210526314, 0.07692307692307693, 0.03571428571428571, 0.0, 0.09090909090909091, 0.08333333333333333, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.017543859649122806, 0.024475524475524476, 0.03571428571428571, 0.06666666666666667, 0.0, 0.016736401673640166, 0.03571428571428571, 0.043478260869565216, 0.0, 0.0, 0.047619047619047616, 0.0, 0.017241379310344827, 0.03125, 0.0, 0.022727272727272728, 0.022222222222222223, 0.0, 0.023809523809523808, 0.03225806451612903, 0.0, 0.031446540880503145, 0.045454545454545456, 0.024509803921568627, 0.027777777777777776, 0.03636363636363636, 0.05084745762711865, 0.03571428571428571, 0.08, 0.034482758620689655, 0.047619047619047616, 0.08333333333333333, 0.013605442176870748, 0.006944444444444444, 0.011695906432748537, 0.047619047619047616, 0.0, 0.025906735751295335, 0.008849557522123894, 0.03225806451612903, 0.0, 0.0625, 0.0, 0.03225806451612903, 0.04395604395604396, 0.07142857142857142, 0.015873015873015872, 0.005988023952095809, 0.023529411764705882, 0.0, 0.023121387283236993, 0.015608740894901144, 0.02302158273381295, 0.0, 0.03571428571428571, 0.1, 0.013636363636363636, 0.0410958904109589, 0.01904761904761905, 0.020833333333333332, 0.006578947368421052, 0.010810810810810811, 0.018666666666666668, 0.0, 0.022222222222222223, 0.030303030303030304, 0.0, 0.0, 0.03002309468822171, 0.019762845849802372, 0.0, 0.11764705882352941, 0.03211009174311927, 0.043478260869565216, 0.024390243902439025, 0.029411764705882353, 0.023923444976076555, 0.05172413793103448, 0.01485148514851485, 0.014446227929373997, 0.11764705882352941, 0.024844720496894408, 0.0, 0.02914798206278027, 0.012658227848101266, 0.024305555555555556, 0.0, 0.0392156862745098, 0.021164021164021163, 0.02857142857142857, 0.05, 0.013513513513513514, 0.014084507042253521, 0.027777777777777776, 0.02586206896551724, 0.14285714285714285, 0.015503875968992248, 0.028455284552845527, 0.009009009009009009, 0.029411764705882353, 0.01727447216890595, 0.058823529411764705, 0.03076923076923077, 0.008403361344537815, 0.007936507936507936, 0.00558659217877095, 0.012345679012345678, 0.0, 0.02040816326530612, 0.0036900369003690036, 0.0, 0.0547945205479452, 0.03153988868274583, 0.02631578947368421, 0.0, 0.07692307692307693, 0.01639344262295082, 0.016129032258064516, 0.0, 0.0, 0.02857142857142857, 0.006535947712418301, 0.02768166089965398, 0.018867924528301886, 0.0196078431372549, 0.018779342723004695, 0.012477718360071301, 0.004830917874396135, 0.0, 0.011235955056179775, 0.012987012987012988, 0.030303030303030304, 0.0, 0.03125, 0.0, 0.018867924528301886, 0.0, 0.0, 0.00847457627118644, 0.00909090909090909, 0.08333333333333333, 0.0, 0.0, 0.0, 0.019230769230769232, 0.015873015873015872, 0.0, 0.0, 0.0, 0.03125, 0.03571428571428571, 0.011904761904761904, 0.0, 0.0, 0.027777777777777776, 0.07407407407407407, 0.057971014492753624, 0.015873015873015872, 0.0, 0.0, 0.03125, 0.0, 0.0, 0.0, 0.05263157894736842, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.047619047619047616, 0.045454545454545456, 0.0, 0.0, 0.03508771929824561, 0.0, 0.0, 0.009708737864077669, 0.05263157894736842, 0.16666666666666666], \"yaxis\": \"y10\"}],\n",
" {\"annotations\": [{\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Anger\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 1.0, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Anticipation\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 1.0, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Disgust\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.78, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Fear\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.78, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Joy\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.56, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Negative\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.56, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Positive\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.33999999999999997, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Sadness\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.33999999999999997, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Surprise\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.12, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Trust\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.12, \"yanchor\": \"bottom\", \"yref\": \"paper\"}], \"height\": 1500, \"showlegend\": false, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Emotional arcs identified across the scenes in the Star-Wars-The-Empire-Strikes-Back movie <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis10\": {\"anchor\": \"y10\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis2\": {\"anchor\": \"y2\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis3\": {\"anchor\": \"y3\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis4\": {\"anchor\": \"y4\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis5\": {\"anchor\": \"y5\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis6\": {\"anchor\": \"y6\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis7\": {\"anchor\": \"y7\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis8\": {\"anchor\": \"y8\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis9\": {\"anchor\": \"y9\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.88, 1.0], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis10\": {\"anchor\": \"x10\", \"domain\": [0.0, 0.12], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis2\": {\"anchor\": \"x2\", \"domain\": [0.88, 1.0], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis3\": {\"anchor\": \"x3\", \"domain\": [0.66, 0.78], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis4\": {\"anchor\": \"x4\", \"domain\": [0.66, 0.78], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis5\": {\"anchor\": \"x5\", \"domain\": [0.44, 0.56], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis6\": {\"anchor\": \"x6\", \"domain\": [0.44, 0.56], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis7\": {\"anchor\": \"x7\", \"domain\": [0.22, 0.33999999999999997], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis8\": {\"anchor\": \"x8\", \"domain\": [0.22, 0.33999999999999997], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis9\": {\"anchor\": \"x9\", \"domain\": [0.0, 0.12], \"title\": {\"text\": \"Average Sentiment\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('e51d8941-402b-4e4c-8c95-80c7a85f5da8');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_film_emotion = etn.film_emotional_arc()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Lets check the emotional content for the Top 10 characters in the Movie"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"marker": {
"color": [
"lightslategray",
"crimson",
"darkcyan",
"darkgoldenrod",
"cornsilk",
"turquoise",
"limegreen",
"darkorchid",
"palevioletred",
"deeppink"
]
},
"name": "HAN Sentiment",
"type": "bar",
"x": [
"Anger",
"Anticipation",
"Disgust",
"Fear",
"Joy",
"Negative",
"Positive",
"Sadness",
"Surprise",
"Trust"
],
"xaxis": "x",
"y": [
59,
89,
27,
66,
56,
115,
136,
47,
50,
92
],
"yaxis": "y"
},
{
"marker": {
"color": [
"lightslategray",
"crimson",
"darkcyan",
"darkgoldenrod",
"cornsilk",
"turquoise",
"limegreen",
"darkorchid",
"palevioletred",
"deeppink"
]
},
"name": "LUKE Sentiment",
"type": "bar",
"x": [
"Anger",
"Anticipation",
"Disgust",
"Fear",
"Joy",
"Negative",
"Positive",
"Sadness",
"Surprise",
"Trust"
],
"xaxis": "x2",
"y": [
41,
54,
29,
64,
30,
92,
76,
42,
40,
48
],
"yaxis": "y2"
},
{
"marker": {
"color": [
"lightslategray",
"crimson",
"darkcyan",
"darkgoldenrod",
"cornsilk",
"turquoise",
"limegreen",
"darkorchid",
"palevioletred",
"deeppink"
]
},
"name": "LEIA Sentiment",
"type": "bar",
"x": [
"Anger",
"Anticipation",
"Disgust",
"Fear",
"Joy",
"Negative",
"Positive",
"Sadness",
"Surprise",
"Trust"
],
"xaxis": "x3",
"y": [
19,
38,
6,
29,
21,
36,
56,
9,
25,
34
],
"yaxis": "y3"
},
{
"marker": {
"color": [
"lightslategray",
"crimson",
"darkcyan",
"darkgoldenrod",
"cornsilk",
"turquoise",
"limegreen",
"darkorchid",
"palevioletred",
"deeppink"
]
},
"name": "THREEPIO Sentiment",
"type": "bar",
"x": [
"Anger",
"Anticipation",
"Disgust",
"Fear",
"Joy",
"Negative",
"Positive",
"Sadness",
"Surprise",
"Trust"
],
"xaxis": "x4",
"y": [
28,
48,
9,
31,
23,
74,
102,
18,
23,
63
],
"yaxis": "y4"
},
{
"marker": {
"color": [
"lightslategray",
"crimson",
"darkcyan",
"darkgoldenrod",
"cornsilk",
"turquoise",
"limegreen",
"darkorchid",
"palevioletred",
"deeppink"
]
},
"name": "LANDO Sentiment",
"type": "bar",
"x": [
"Anger",
"Anticipation",
"Disgust",
"Fear",
"Joy",
"Negative",
"Positive",
"Sadness",
"Surprise",
"Trust"
],
"xaxis": "x5",
"y": [
14,
26,
9,
20,
18,
42,
40,
13,
22,
24
],
"yaxis": "y5"
},
{
"marker": {
"color": [
"lightslategray",
"crimson",
"darkcyan",
"darkgoldenrod",
"cornsilk",
"turquoise",
"limegreen",
"darkorchid",
"palevioletred",
"deeppink"
]
},
"name": "VADER Sentiment",
"type": "bar",
"x": [
"Anger",
"Anticipation",
"Disgust",
"Fear",
"Joy",
"Negative",
"Positive",
"Sadness",
"Surprise",
"Trust"
],
"xaxis": "x6",
"y": [
33,
32,
12,
34,
21,
55,
71,
28,
20,
37
],
"yaxis": "y6"
},
{
"marker": {
"color": [
"lightslategray",
"crimson",
"darkcyan",
"darkgoldenrod",
"cornsilk",
"turquoise",
"limegreen",
"darkorchid",
"palevioletred",
"deeppink"
]
},
"name": "YODA Sentiment",
"type": "bar",
"x": [
"Anger",
"Anticipation",
"Disgust",
"Fear",
"Joy",
"Negative",
"Positive",
"Sadness",
"Surprise",
"Trust"
],
"xaxis": "x7",
"y": [
25,
29,
20,
23,
16,
33,
42,
14,
18,
26
],
"yaxis": "y7"
},
{
"marker": {
"color": [
"lightslategray",
"crimson",
"darkcyan",
"darkgoldenrod",
"cornsilk",
"turquoise",
"limegreen",
"darkorchid",
"palevioletred",
"deeppink"
]
},
"name": "PIETT Sentiment",
"type": "bar",
"x": [
"Anger",
"Anticipation",
"Disgust",
"Fear",
"Joy",
"Negative",
"Positive",
"Sadness",
"Surprise",
"Trust"
],
"xaxis": "x8",
"y": [
7,
6,
17,
12,
3,
30,
24,
7,
1,
23
],
"yaxis": "y8"
},
{
"marker": {
"color": [
"lightslategray",
"crimson",
"darkcyan",
"darkgoldenrod",
"cornsilk",
"turquoise",
"limegreen",
"darkorchid",
"palevioletred",
"deeppink"
]
},
"name": "CREATURE Sentiment",
"type": "bar",
"x": [
"Anger",
"Anticipation",
"Disgust",
"Fear",
"Joy",
"Negative",
"Positive",
"Sadness",
"Surprise",
"Trust"
],
"xaxis": "x9",
"y": [
7,
15,
3,
13,
19,
18,
33,
8,
10,
17
],
"yaxis": "y9"
},
{
"marker": {
"color": [
"lightslategray",
"crimson",
"darkcyan",
"darkgoldenrod",
"cornsilk",
"turquoise",
"limegreen",
"darkorchid",
"palevioletred",
"deeppink"
]
},
"name": "RIEEKAN Sentiment",
"type": "bar",
"x": [
"Anger",
"Anticipation",
"Disgust",
"Fear",
"Joy",
"Negative",
"Positive",
"Sadness",
"Surprise",
"Trust"
],
"xaxis": "x10",
"y": [
4,
7,
3,
5,
2,
4,
6,
3,
3,
6
],
"yaxis": "y10"
}
],
"layout": {
"annotations": [
{
"font": {
"size": 16
},
"showarrow": false,
"text": "HAN",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 1,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "LUKE",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 1,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "LEIA",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.78,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "THREEPIO",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.78,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "LANDO",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.56,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "VADER",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.56,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "YODA",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.33999999999999997,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "PIETT",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.33999999999999997,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "CREATURE",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.12,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "RIEEKAN",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.12,
"yanchor": "bottom",
"yref": "paper"
}
],
"height": 1200,
"showlegend": false,
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Emotional Sentiments of the 10 (Ten) Major Characters in the Star-Wars-The-Empire-Strikes-Back Movie <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
0.45
]
},
"xaxis10": {
"anchor": "y10",
"domain": [
0.55,
1
]
},
"xaxis2": {
"anchor": "y2",
"domain": [
0.55,
1
]
},
"xaxis3": {
"anchor": "y3",
"domain": [
0,
0.45
]
},
"xaxis4": {
"anchor": "y4",
"domain": [
0.55,
1
]
},
"xaxis5": {
"anchor": "y5",
"domain": [
0,
0.45
]
},
"xaxis6": {
"anchor": "y6",
"domain": [
0.55,
1
]
},
"xaxis7": {
"anchor": "y7",
"domain": [
0,
0.45
]
},
"xaxis8": {
"anchor": "y8",
"domain": [
0.55,
1
]
},
"xaxis9": {
"anchor": "y9",
"domain": [
0,
0.45
]
},
"yaxis": {
"anchor": "x",
"domain": [
0.88,
1
],
"title": {
"text": "Sentiment counts"
}
},
"yaxis10": {
"anchor": "x10",
"domain": [
0,
0.12
],
"title": {
"text": "Sentiment counts"
}
},
"yaxis2": {
"anchor": "x2",
"domain": [
0.88,
1
],
"title": {
"text": "Sentiment counts"
}
},
"yaxis3": {
"anchor": "x3",
"domain": [
0.66,
0.78
],
"title": {
"text": "Sentiment counts"
}
},
"yaxis4": {
"anchor": "x4",
"domain": [
0.66,
0.78
],
"title": {
"text": "Sentiment counts"
}
},
"yaxis5": {
"anchor": "x5",
"domain": [
0.44,
0.56
],
"title": {
"text": "Sentiment counts"
}
},
"yaxis6": {
"anchor": "x6",
"domain": [
0.44,
0.56
],
"title": {
"text": "Sentiment counts"
}
},
"yaxis7": {
"anchor": "x7",
"domain": [
0.22,
0.33999999999999997
],
"title": {
"text": "Sentiment counts"
}
},
"yaxis8": {
"anchor": "x8",
"domain": [
0.22,
0.33999999999999997
],
"title": {
"text": "Sentiment counts"
}
},
"yaxis9": {
"anchor": "x9",
"domain": [
0,
0.12
],
"title": {
"text": "Sentiment counts"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"89372de5-4c11-4e75-af5e-03cfbea323c2\" class=\"plotly-graph-div\" style=\"height:1200px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"89372de5-4c11-4e75-af5e-03cfbea323c2\")) {\n",
" Plotly.newPlot(\n",
" '89372de5-4c11-4e75-af5e-03cfbea323c2',\n",
" [{\"marker\": {\"color\": [\"lightslategray\", \"crimson\", \"darkcyan\", \"darkgoldenrod\", \"cornsilk\", \"turquoise\", \"limegreen\", \"darkorchid\", \"palevioletred\", \"deeppink\"]}, \"name\": \"HAN Sentiment\", \"type\": \"bar\", \"x\": [\"Anger\", \"Anticipation\", \"Disgust\", \"Fear\", \"Joy\", \"Negative\", \"Positive\", \"Sadness\", \"Surprise\", \"Trust\"], \"xaxis\": \"x\", \"y\": [59, 89, 27, 66, 56, 115, 136, 47, 50, 92], \"yaxis\": \"y\"}, {\"marker\": {\"color\": [\"lightslategray\", \"crimson\", \"darkcyan\", \"darkgoldenrod\", \"cornsilk\", \"turquoise\", \"limegreen\", \"darkorchid\", \"palevioletred\", \"deeppink\"]}, \"name\": \"LUKE Sentiment\", \"type\": \"bar\", \"x\": [\"Anger\", \"Anticipation\", \"Disgust\", \"Fear\", \"Joy\", \"Negative\", \"Positive\", \"Sadness\", \"Surprise\", \"Trust\"], \"xaxis\": \"x2\", \"y\": [41, 54, 29, 64, 30, 92, 76, 42, 40, 48], \"yaxis\": \"y2\"}, {\"marker\": {\"color\": [\"lightslategray\", \"crimson\", \"darkcyan\", \"darkgoldenrod\", \"cornsilk\", \"turquoise\", \"limegreen\", \"darkorchid\", \"palevioletred\", \"deeppink\"]}, \"name\": \"LEIA Sentiment\", \"type\": \"bar\", \"x\": [\"Anger\", \"Anticipation\", \"Disgust\", \"Fear\", \"Joy\", \"Negative\", \"Positive\", \"Sadness\", \"Surprise\", \"Trust\"], \"xaxis\": \"x3\", \"y\": [19, 38, 6, 29, 21, 36, 56, 9, 25, 34], \"yaxis\": \"y3\"}, {\"marker\": {\"color\": [\"lightslategray\", \"crimson\", \"darkcyan\", \"darkgoldenrod\", \"cornsilk\", \"turquoise\", \"limegreen\", \"darkorchid\", \"palevioletred\", \"deeppink\"]}, \"name\": \"THREEPIO Sentiment\", \"type\": \"bar\", \"x\": [\"Anger\", \"Anticipation\", \"Disgust\", \"Fear\", \"Joy\", \"Negative\", \"Positive\", \"Sadness\", \"Surprise\", \"Trust\"], \"xaxis\": \"x4\", \"y\": [28, 48, 9, 31, 23, 74, 102, 18, 23, 63], \"yaxis\": \"y4\"}, {\"marker\": {\"color\": [\"lightslategray\", \"crimson\", \"darkcyan\", \"darkgoldenrod\", \"cornsilk\", \"turquoise\", \"limegreen\", \"darkorchid\", \"palevioletred\", \"deeppink\"]}, \"name\": \"LANDO Sentiment\", \"type\": \"bar\", \"x\": [\"Anger\", \"Anticipation\", \"Disgust\", \"Fear\", \"Joy\", \"Negative\", \"Positive\", \"Sadness\", \"Surprise\", \"Trust\"], \"xaxis\": \"x5\", \"y\": [14, 26, 9, 20, 18, 42, 40, 13, 22, 24], \"yaxis\": \"y5\"}, {\"marker\": {\"color\": [\"lightslategray\", \"crimson\", \"darkcyan\", \"darkgoldenrod\", \"cornsilk\", \"turquoise\", \"limegreen\", \"darkorchid\", \"palevioletred\", \"deeppink\"]}, \"name\": \"VADER Sentiment\", \"type\": \"bar\", \"x\": [\"Anger\", \"Anticipation\", \"Disgust\", \"Fear\", \"Joy\", \"Negative\", \"Positive\", \"Sadness\", \"Surprise\", \"Trust\"], \"xaxis\": \"x6\", \"y\": [33, 32, 12, 34, 21, 55, 71, 28, 20, 37], \"yaxis\": \"y6\"}, {\"marker\": {\"color\": [\"lightslategray\", \"crimson\", \"darkcyan\", \"darkgoldenrod\", \"cornsilk\", \"turquoise\", \"limegreen\", \"darkorchid\", \"palevioletred\", \"deeppink\"]}, \"name\": \"YODA Sentiment\", \"type\": \"bar\", \"x\": [\"Anger\", \"Anticipation\", \"Disgust\", \"Fear\", \"Joy\", \"Negative\", \"Positive\", \"Sadness\", \"Surprise\", \"Trust\"], \"xaxis\": \"x7\", \"y\": [25, 29, 20, 23, 16, 33, 42, 14, 18, 26], \"yaxis\": \"y7\"}, {\"marker\": {\"color\": [\"lightslategray\", \"crimson\", \"darkcyan\", \"darkgoldenrod\", \"cornsilk\", \"turquoise\", \"limegreen\", \"darkorchid\", \"palevioletred\", \"deeppink\"]}, \"name\": \"PIETT Sentiment\", \"type\": \"bar\", \"x\": [\"Anger\", \"Anticipation\", \"Disgust\", \"Fear\", \"Joy\", \"Negative\", \"Positive\", \"Sadness\", \"Surprise\", \"Trust\"], \"xaxis\": \"x8\", \"y\": [7, 6, 17, 12, 3, 30, 24, 7, 1, 23], \"yaxis\": \"y8\"}, {\"marker\": {\"color\": [\"lightslategray\", \"crimson\", \"darkcyan\", \"darkgoldenrod\", \"cornsilk\", \"turquoise\", \"limegreen\", \"darkorchid\", \"palevioletred\", \"deeppink\"]}, \"name\": \"CREATURE Sentiment\", \"type\": \"bar\", \"x\": [\"Anger\", \"Anticipation\", \"Disgust\", \"Fear\", \"Joy\", \"Negative\", \"Positive\", \"Sadness\", \"Surprise\", \"Trust\"], \"xaxis\": \"x9\", \"y\": [7, 15, 3, 13, 19, 18, 33, 8, 10, 17], \"yaxis\": \"y9\"}, {\"marker\": {\"color\": [\"lightslategray\", \"crimson\", \"darkcyan\", \"darkgoldenrod\", \"cornsilk\", \"turquoise\", \"limegreen\", \"darkorchid\", \"palevioletred\", \"deeppink\"]}, \"name\": \"RIEEKAN Sentiment\", \"type\": \"bar\", \"x\": [\"Anger\", \"Anticipation\", \"Disgust\", \"Fear\", \"Joy\", \"Negative\", \"Positive\", \"Sadness\", \"Surprise\", \"Trust\"], \"xaxis\": \"x10\", \"y\": [4, 7, 3, 5, 2, 4, 6, 3, 3, 6], \"yaxis\": \"y10\"}],\n",
" {\"annotations\": [{\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"HAN\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 1.0, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"LUKE\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 1.0, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"LEIA\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.78, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"THREEPIO\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.78, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"LANDO\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.56, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"VADER\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.56, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"YODA\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.33999999999999997, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"PIETT\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.33999999999999997, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"CREATURE\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.12, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"RIEEKAN\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.12, \"yanchor\": \"bottom\", \"yref\": \"paper\"}], \"height\": 1200, \"showlegend\": false, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Emotional Sentiments of the 10 (Ten) Major Characters in the Star-Wars-The-Empire-Strikes-Back Movie <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 0.45]}, \"xaxis10\": {\"anchor\": \"y10\", \"domain\": [0.55, 1.0]}, \"xaxis2\": {\"anchor\": \"y2\", \"domain\": [0.55, 1.0]}, \"xaxis3\": {\"anchor\": \"y3\", \"domain\": [0.0, 0.45]}, \"xaxis4\": {\"anchor\": \"y4\", \"domain\": [0.55, 1.0]}, \"xaxis5\": {\"anchor\": \"y5\", \"domain\": [0.0, 0.45]}, \"xaxis6\": {\"anchor\": \"y6\", \"domain\": [0.55, 1.0]}, \"xaxis7\": {\"anchor\": \"y7\", \"domain\": [0.0, 0.45]}, \"xaxis8\": {\"anchor\": \"y8\", \"domain\": [0.55, 1.0]}, \"xaxis9\": {\"anchor\": \"y9\", \"domain\": [0.0, 0.45]}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.88, 1.0], \"title\": {\"text\": \"Sentiment counts\"}}, \"yaxis10\": {\"anchor\": \"x10\", \"domain\": [0.0, 0.12], \"title\": {\"text\": \"Sentiment counts\"}}, \"yaxis2\": {\"anchor\": \"x2\", \"domain\": [0.88, 1.0], \"title\": {\"text\": \"Sentiment counts\"}}, \"yaxis3\": {\"anchor\": \"x3\", \"domain\": [0.66, 0.78], \"title\": {\"text\": \"Sentiment counts\"}}, \"yaxis4\": {\"anchor\": \"x4\", \"domain\": [0.66, 0.78], \"title\": {\"text\": \"Sentiment counts\"}}, \"yaxis5\": {\"anchor\": \"x5\", \"domain\": [0.44, 0.56], \"title\": {\"text\": \"Sentiment counts\"}}, \"yaxis6\": {\"anchor\": \"x6\", \"domain\": [0.44, 0.56], \"title\": {\"text\": \"Sentiment counts\"}}, \"yaxis7\": {\"anchor\": \"x7\", \"domain\": [0.22, 0.33999999999999997], \"title\": {\"text\": \"Sentiment counts\"}}, \"yaxis8\": {\"anchor\": \"x8\", \"domain\": [0.22, 0.33999999999999997], \"title\": {\"text\": \"Sentiment counts\"}}, \"yaxis9\": {\"anchor\": \"x9\", \"domain\": [0.0, 0.12], \"title\": {\"text\": \"Sentiment counts\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('89372de5-4c11-4e75-af5e-03cfbea323c2');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_top10_emotions = etn.emotional_content_plot(df_film_dialogue, movie_characters, 11)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Lets check emotional arcs for specific characters\n",
"\n",
"### Emotions at scenes where the character is not present is set to ZERO"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x",
"y": [
0,
0,
0,
0,
0.007042253521126761,
0.008522727272727272,
0,
0,
0,
0.006329113924050633,
0,
0,
0,
0,
0,
0,
0.019417475728155338,
0,
0,
0,
0,
0,
0,
0.0063025210084033615,
0,
0,
0.014084507042253521,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011363636363636364,
0,
0,
0,
0.024193548387096774,
0,
0,
0,
0,
0,
0.01818181818181818,
0,
0,
0,
0,
0,
0,
0.04081632653061224,
0.006944444444444444,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.005780346820809248,
0,
0.007194244604316547,
0,
0,
0,
0,
0,
0,
0,
0,
0.005405405405405406,
0.008,
0,
0.011111111111111112,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.014354066985645933,
0,
0,
0,
0,
0,
0,
0.008968609865470852,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.027777777777777776,
0,
0,
0.003875968992248062,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.00927643784786642,
0,
0,
0,
0.00117096018735363,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x2",
"y": [
0,
0,
0,
0,
0,
0.008522727272727272,
0.017857142857142856,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.014563106796116505,
0,
0,
0,
0.022727272727272728,
0,
0,
0.0063025210084033615,
0,
0,
0.014084507042253521,
0,
0,
0,
0,
0,
0.005235602094240838,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.008264462809917356,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011111111111111112,
0,
0,
0.016129032258064516,
0,
0,
0,
0,
0,
0.00909090909090909,
0,
0,
0,
0.017241379310344827,
0,
0,
0.013605442176870748,
0.006944444444444444,
0,
0,
0,
0.0051813471502590676,
0,
0.010752688172043012,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.014450867052023121,
0,
0.0057553956834532375,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.024,
0.014492753623188406,
0.03333333333333333,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.014354066985645933,
0,
0,
0,
0,
0,
0,
0.011210762331838564,
0,
0,
0,
0,
0.021164021164021163,
0,
0,
0,
0,
0,
0,
0,
0.011627906976744186,
0.008130081300813009,
0,
0,
0,
0,
0.005128205128205128,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.00927643784786642,
0,
0,
0,
0.00702576112412178,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y2"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x3",
"y": [
0,
0,
0,
0,
0.007042253521126761,
0.002840909090909091,
0,
0,
0,
0.006329113924050633,
0,
0,
0,
0,
0,
0,
0.01699029126213592,
0,
0,
0,
0,
0,
0,
0.004201680672268907,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.00909090909090909,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.002890173410404624,
0,
0.007194244604316547,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0026666666666666666,
0.007246376811594203,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.004784688995215311,
0,
0,
0,
0,
0,
0,
0.002242152466367713,
0,
0,
0,
0,
0.005291005291005291,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0037105751391465678,
0,
0,
0,
0.00117096018735363,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y3"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x4",
"y": [
0,
0,
0,
0,
0.007042253521126761,
0.005681818181818182,
0.008928571428571428,
0,
0,
0.006329113924050633,
0,
0,
0,
0,
0,
0,
0.021844660194174758,
0,
0,
0,
0,
0,
0,
0.01050420168067227,
0,
0,
0.014084507042253521,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.008264462809917356,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.024193548387096774,
0,
0,
0,
0,
0,
0.00909090909090909,
0,
0,
0,
0.005747126436781609,
0,
0,
0.013605442176870748,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.002890173410404624,
0,
0.010071942446043165,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.013333333333333334,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.004784688995215311,
0,
0,
0,
0,
0,
0,
0.004484304932735426,
0,
0,
0,
0,
0.005291005291005291,
0,
0,
0,
0,
0.027777777777777776,
0,
0,
0.003875968992248062,
0,
0,
0,
0,
0,
0,
0,
0.003968253968253968,
0.00558659217877095,
0,
0,
0,
0,
0,
0,
0.01855287569573284,
0,
0,
0,
0.00702576112412178,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y4"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x5",
"y": [
0,
0,
0,
0,
0,
0.005681818181818182,
0.017857142857142856,
0,
0,
0.006329113924050633,
0,
0,
0,
0,
0,
0,
0.0024271844660194173,
0,
0,
0,
0.011363636363636364,
0,
0,
0.012605042016806723,
0.005780346820809248,
0,
0.028169014084507043,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011111111111111112,
0,
0,
0.016129032258064516,
0,
0,
0,
0,
0,
0.00909090909090909,
0,
0,
0,
0.011494252873563218,
0,
0,
0,
0,
0,
0,
0,
0.0051813471502590676,
0,
0.010752688172043012,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011560693641618497,
0,
0.0014388489208633094,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0026666666666666666,
0,
0.016666666666666666,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.004784688995215311,
0,
0,
0,
0,
0,
0,
0.011210762331838564,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.027777777777777776,
0,
0,
0.007751937984496124,
0.0040650406504065045,
0,
0,
0,
0,
0.005128205128205128,
0,
0.003968253968253968,
0,
0,
0,
0,
0,
0,
0,
0.00927643784786642,
0,
0,
0,
0.00468384074941452,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y5"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x6",
"y": [
0,
0,
0,
0,
0.007042253521126761,
0.008522727272727272,
0.008928571428571428,
0,
0.00546448087431694,
0.006329113924050633,
0,
0,
0,
0,
0,
0,
0.03155339805825243,
0,
0,
0,
0,
0,
0,
0.008403361344537815,
0,
0,
0.028169014084507043,
0,
0,
0,
0,
0,
0.005235602094240838,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011363636363636364,
0,
0,
0,
0.024193548387096774,
0,
0,
0,
0,
0,
0.01818181818181818,
0,
0,
0,
0,
0,
0,
0.061224489795918366,
0.006944444444444444,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011560693641618497,
0,
0.010071942446043165,
0,
0,
0,
0,
0,
0,
0,
0,
0.010810810810810811,
0.02666666666666667,
0.007246376811594203,
0.016666666666666666,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.028708133971291867,
0,
0,
0,
0,
0,
0,
0.02466367713004484,
0,
0,
0,
0,
0.010582010582010581,
0,
0,
0,
0,
0.027777777777777776,
0,
0,
0.007751937984496124,
0,
0,
0,
0,
0,
0,
0,
0.007936507936507936,
0.00558659217877095,
0,
0,
0,
0,
0,
0,
0.016697588126159554,
0,
0,
0,
0.00936768149882904,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y6"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x7",
"y": [
0,
0,
0,
0,
0,
0.028409090909090908,
0.017857142857142856,
0,
0.00546448087431694,
0.006329113924050633,
0,
0,
0,
0,
0,
0,
0.012135922330097087,
0,
0,
0,
0.011363636363636364,
0,
0,
0.018907563025210083,
0.005780346820809248,
0,
0.028169014084507043,
0,
0,
0,
0,
0,
0.005235602094240838,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0.009615384615384616,
0,
0,
0,
0,
0,
0,
0.022222222222222223,
0,
0,
0.04032258064516129,
0,
0,
0,
0,
0,
0.00909090909090909,
0,
0,
0,
0.017241379310344827,
0,
0,
0.02040816326530612,
0,
0,
0,
0,
0.0051813471502590676,
0,
0.010752688172043012,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.017341040462427744,
0,
0.007194244604316547,
0,
0,
0,
0,
0,
0,
0,
0,
0.005405405405405406,
0.024,
0.007246376811594203,
0.05,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.028708133971291867,
0,
0,
0,
0,
0,
0,
0.020179372197309416,
0,
0,
0,
0,
0.021164021164021163,
0,
0,
0,
0,
0.027777777777777776,
0,
0,
0.015503875968992248,
0.008130081300813009,
0,
0,
0,
0,
0.015384615384615385,
0,
0.003968253968253968,
0,
0,
0,
0,
0,
0,
0,
0.022263450834879406,
0,
0,
0,
0.01053864168618267,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y7"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x8",
"y": [
0,
0,
0,
0,
0.007042253521126761,
0.008522727272727272,
0.004464285714285714,
0,
0.00546448087431694,
0.012658227848101266,
0,
0,
0,
0,
0,
0,
0.014563106796116505,
0,
0,
0,
0,
0,
0,
0.004201680672268907,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011111111111111112,
0,
0,
0.008064516129032258,
0,
0,
0,
0,
0,
0.00909090909090909,
0,
0,
0,
0,
0,
0,
0.013605442176870748,
0,
0,
0,
0,
0.0051813471502590676,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.005780346820809248,
0,
0.004316546762589928,
0,
0,
0,
0,
0,
0,
0,
0,
0.005405405405405406,
0.0026666666666666666,
0.007246376811594203,
0.005555555555555556,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.014354066985645933,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.005291005291005291,
0,
0,
0,
0,
0,
0,
0,
0.003875968992248062,
0,
0,
0,
0,
0,
0,
0,
0.003968253968253968,
0,
0,
0,
0,
0,
0,
0,
0.0055658627087198514,
0,
0,
0,
0.00702576112412178,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y8"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x9",
"y": [
0,
0,
0,
0,
0.007042253521126761,
0.005681818181818182,
0.017857142857142856,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.009708737864077669,
0,
0,
0,
0.011363636363636364,
0,
0,
0.0063025210084033615,
0,
0,
0.014084507042253521,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03225806451612903,
0,
0,
0,
0,
0,
0.00909090909090909,
0,
0,
0,
0.005747126436781609,
0,
0,
0.02040816326530612,
0.006944444444444444,
0,
0,
0,
0,
0,
0.010752688172043012,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.008670520231213872,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.005333333333333333,
0,
0.005555555555555556,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.013452914798206279,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011627906976744186,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0074211502782931356,
0,
0,
0,
0.00468384074941452,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y9"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x10",
"y": [
0,
0,
0.005141388174807198,
0,
0,
0.017045454545454544,
0.004464285714285714,
0,
0,
0.006329113924050633,
0,
0,
0,
0,
0,
0,
0.0048543689320388345,
0,
0,
0,
0.011363636363636364,
0,
0,
0.01050420168067227,
0.005780346820809248,
0,
0.028169014084507043,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.022222222222222223,
0,
0,
0.024193548387096774,
0,
0,
0,
0,
0,
0.00909090909090909,
0,
0,
0,
0.011494252873563218,
0,
0,
0.013605442176870748,
0,
0,
0,
0,
0.0051813471502590676,
0,
0.010752688172043012,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.014450867052023121,
0,
0.010071942446043165,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.013333333333333334,
0,
0.016666666666666666,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.004784688995215311,
0,
0,
0,
0,
0,
0,
0.020179372197309416,
0,
0,
0,
0,
0.010582010582010581,
0,
0,
0.013513513513513514,
0,
0.027777777777777776,
0,
0,
0.007751937984496124,
0.008130081300813009,
0,
0,
0,
0,
0.010256410256410256,
0,
0.003968253968253968,
0,
0,
0,
0,
0,
0,
0,
0.022263450834879406,
0,
0,
0,
0.00585480093676815,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y10"
}
],
"layout": {
"annotations": [
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Anger",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 1,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Anticipation",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 1,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Disgust",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.78,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Fear",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.78,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Joy",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.56,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Negative",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.56,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Positive",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.33999999999999997,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Sadness",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.33999999999999997,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Surprise",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.12,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Trust",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.12,
"yanchor": "bottom",
"yref": "paper"
}
],
"height": 1500,
"showlegend": false,
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Emotional arcs of HAN across the scenes in the Star-Wars-The-Empire-Strikes-Back movie <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis10": {
"anchor": "y10",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis2": {
"anchor": "y2",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis3": {
"anchor": "y3",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis4": {
"anchor": "y4",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis5": {
"anchor": "y5",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis6": {
"anchor": "y6",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis7": {
"anchor": "y7",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis8": {
"anchor": "y8",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis9": {
"anchor": "y9",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0.88,
1
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis10": {
"anchor": "x10",
"domain": [
0,
0.12
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis2": {
"anchor": "x2",
"domain": [
0.88,
1
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis3": {
"anchor": "x3",
"domain": [
0.66,
0.78
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis4": {
"anchor": "x4",
"domain": [
0.66,
0.78
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis5": {
"anchor": "x5",
"domain": [
0.44,
0.56
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis6": {
"anchor": "x6",
"domain": [
0.44,
0.56
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis7": {
"anchor": "x7",
"domain": [
0.22,
0.33999999999999997
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis8": {
"anchor": "x8",
"domain": [
0.22,
0.33999999999999997
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis9": {
"anchor": "x9",
"domain": [
0,
0.12
],
"title": {
"text": "Average Sentiment"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"c99baa46-de66-4e4e-b82b-e71dd333c804\" class=\"plotly-graph-div\" style=\"height:1500px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"c99baa46-de66-4e4e-b82b-e71dd333c804\")) {\n",
" Plotly.newPlot(\n",
" 'c99baa46-de66-4e4e-b82b-e71dd333c804',\n",
" [{\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.007042253521126761, 0.008522727272727272, 0.0, 0.0, 0.0, 0.006329113924050633, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.019417475728155338, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0063025210084033615, 0.0, 0.0, 0.014084507042253521, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011363636363636364, 0.0, 0.0, 0.0, 0.024193548387096774, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01818181818181818, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.04081632653061224, 0.006944444444444444, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005780346820809248, 0.0, 0.007194244604316547, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005405405405405406, 0.008, 0.0, 0.011111111111111112, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.014354066985645933, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008968609865470852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.027777777777777776, 0.0, 0.0, 0.003875968992248062, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00927643784786642, 0.0, 0.0, 0.0, 0.00117096018735363, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x2\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.008522727272727272, 0.017857142857142856, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.014563106796116505, 0.0, 0.0, 0.0, 0.022727272727272728, 0.0, 0.0, 0.0063025210084033615, 0.0, 0.0, 0.014084507042253521, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005235602094240838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008264462809917356, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011111111111111112, 0.0, 0.0, 0.016129032258064516, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00909090909090909, 0.0, 0.0, 0.0, 0.017241379310344827, 0.0, 0.0, 0.013605442176870748, 0.006944444444444444, 0.0, 0.0, 0.0, 0.0051813471502590676, 0.0, 0.010752688172043012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.014450867052023121, 0.0, 0.0057553956834532375, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.024, 0.014492753623188406, 0.03333333333333333, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.014354066985645933, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011210762331838564, 0.0, 0.0, 0.0, 0.0, 0.021164021164021163, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011627906976744186, 0.008130081300813009, 0.0, 0.0, 0.0, 0.0, 0.005128205128205128, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00927643784786642, 0.0, 0.0, 0.0, 0.00702576112412178, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y2\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x3\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.007042253521126761, 0.002840909090909091, 0.0, 0.0, 0.0, 0.006329113924050633, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01699029126213592, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004201680672268907, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00909090909090909, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002890173410404624, 0.0, 0.007194244604316547, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0026666666666666666, 0.007246376811594203, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004784688995215311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002242152466367713, 0.0, 0.0, 0.0, 0.0, 0.005291005291005291, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0037105751391465678, 0.0, 0.0, 0.0, 0.00117096018735363, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y3\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x4\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.007042253521126761, 0.005681818181818182, 0.008928571428571428, 0.0, 0.0, 0.006329113924050633, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021844660194174758, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01050420168067227, 0.0, 0.0, 0.014084507042253521, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008264462809917356, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.024193548387096774, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00909090909090909, 0.0, 0.0, 0.0, 0.005747126436781609, 0.0, 0.0, 0.013605442176870748, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002890173410404624, 0.0, 0.010071942446043165, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013333333333333334, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004784688995215311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004484304932735426, 0.0, 0.0, 0.0, 0.0, 0.005291005291005291, 0.0, 0.0, 0.0, 0.0, 0.027777777777777776, 0.0, 0.0, 0.003875968992248062, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003968253968253968, 0.00558659217877095, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01855287569573284, 0.0, 0.0, 0.0, 0.00702576112412178, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y4\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x5\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.005681818181818182, 0.017857142857142856, 0.0, 0.0, 0.006329113924050633, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0024271844660194173, 0.0, 0.0, 0.0, 0.011363636363636364, 0.0, 0.0, 0.012605042016806723, 0.005780346820809248, 0.0, 0.028169014084507043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011111111111111112, 0.0, 0.0, 0.016129032258064516, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00909090909090909, 0.0, 0.0, 0.0, 0.011494252873563218, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0051813471502590676, 0.0, 0.010752688172043012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011560693641618497, 0.0, 0.0014388489208633094, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0026666666666666666, 0.0, 0.016666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004784688995215311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011210762331838564, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.027777777777777776, 0.0, 0.0, 0.007751937984496124, 0.0040650406504065045, 0.0, 0.0, 0.0, 0.0, 0.005128205128205128, 0.0, 0.003968253968253968, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00927643784786642, 0.0, 0.0, 0.0, 0.00468384074941452, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y5\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x6\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.007042253521126761, 0.008522727272727272, 0.008928571428571428, 0.0, 0.00546448087431694, 0.006329113924050633, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03155339805825243, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008403361344537815, 0.0, 0.0, 0.028169014084507043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005235602094240838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011363636363636364, 0.0, 0.0, 0.0, 0.024193548387096774, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01818181818181818, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.061224489795918366, 0.006944444444444444, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011560693641618497, 0.0, 0.010071942446043165, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010810810810810811, 0.02666666666666667, 0.007246376811594203, 0.016666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.028708133971291867, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02466367713004484, 0.0, 0.0, 0.0, 0.0, 0.010582010582010581, 0.0, 0.0, 0.0, 0.0, 0.027777777777777776, 0.0, 0.0, 0.007751937984496124, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007936507936507936, 0.00558659217877095, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.016697588126159554, 0.0, 0.0, 0.0, 0.00936768149882904, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y6\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x7\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.028409090909090908, 0.017857142857142856, 0.0, 0.00546448087431694, 0.006329113924050633, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012135922330097087, 0.0, 0.0, 0.0, 0.011363636363636364, 0.0, 0.0, 0.018907563025210083, 0.005780346820809248, 0.0, 0.028169014084507043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005235602094240838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009615384615384616, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022222222222222223, 0.0, 0.0, 0.04032258064516129, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00909090909090909, 0.0, 0.0, 0.0, 0.017241379310344827, 0.0, 0.0, 0.02040816326530612, 0.0, 0.0, 0.0, 0.0, 0.0051813471502590676, 0.0, 0.010752688172043012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017341040462427744, 0.0, 0.007194244604316547, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005405405405405406, 0.024, 0.007246376811594203, 0.05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.028708133971291867, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020179372197309416, 0.0, 0.0, 0.0, 0.0, 0.021164021164021163, 0.0, 0.0, 0.0, 0.0, 0.027777777777777776, 0.0, 0.0, 0.015503875968992248, 0.008130081300813009, 0.0, 0.0, 0.0, 0.0, 0.015384615384615385, 0.0, 0.003968253968253968, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022263450834879406, 0.0, 0.0, 0.0, 0.01053864168618267, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y7\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x8\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.007042253521126761, 0.008522727272727272, 0.004464285714285714, 0.0, 0.00546448087431694, 0.012658227848101266, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.014563106796116505, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004201680672268907, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011111111111111112, 0.0, 0.0, 0.008064516129032258, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00909090909090909, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013605442176870748, 0.0, 0.0, 0.0, 0.0, 0.0051813471502590676, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005780346820809248, 0.0, 0.004316546762589928, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005405405405405406, 0.0026666666666666666, 0.007246376811594203, 0.005555555555555556, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.014354066985645933, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005291005291005291, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003875968992248062, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003968253968253968, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0055658627087198514, 0.0, 0.0, 0.0, 0.00702576112412178, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y8\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x9\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.007042253521126761, 0.005681818181818182, 0.017857142857142856, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009708737864077669, 0.0, 0.0, 0.0, 0.011363636363636364, 0.0, 0.0, 0.0063025210084033615, 0.0, 0.0, 0.014084507042253521, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03225806451612903, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00909090909090909, 0.0, 0.0, 0.0, 0.005747126436781609, 0.0, 0.0, 0.02040816326530612, 0.006944444444444444, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010752688172043012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008670520231213872, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005333333333333333, 0.0, 0.005555555555555556, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013452914798206279, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011627906976744186, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0074211502782931356, 0.0, 0.0, 0.0, 0.00468384074941452, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y9\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x10\", \"y\": [0.0, 0.0, 0.005141388174807198, 0.0, 0.0, 0.017045454545454544, 0.004464285714285714, 0.0, 0.0, 0.006329113924050633, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0048543689320388345, 0.0, 0.0, 0.0, 0.011363636363636364, 0.0, 0.0, 0.01050420168067227, 0.005780346820809248, 0.0, 0.028169014084507043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022222222222222223, 0.0, 0.0, 0.024193548387096774, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00909090909090909, 0.0, 0.0, 0.0, 0.011494252873563218, 0.0, 0.0, 0.013605442176870748, 0.0, 0.0, 0.0, 0.0, 0.0051813471502590676, 0.0, 0.010752688172043012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.014450867052023121, 0.0, 0.010071942446043165, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013333333333333334, 0.0, 0.016666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004784688995215311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020179372197309416, 0.0, 0.0, 0.0, 0.0, 0.010582010582010581, 0.0, 0.0, 0.013513513513513514, 0.0, 0.027777777777777776, 0.0, 0.0, 0.007751937984496124, 0.008130081300813009, 0.0, 0.0, 0.0, 0.0, 0.010256410256410256, 0.0, 0.003968253968253968, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022263450834879406, 0.0, 0.0, 0.0, 0.00585480093676815, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y10\"}],\n",
" {\"annotations\": [{\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Anger\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 1.0, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Anticipation\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 1.0, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Disgust\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.78, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Fear\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.78, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Joy\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.56, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Negative\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.56, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Positive\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.33999999999999997, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Sadness\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.33999999999999997, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Surprise\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.12, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Trust\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.12, \"yanchor\": \"bottom\", \"yref\": \"paper\"}], \"height\": 1500, \"showlegend\": false, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Emotional arcs of HAN across the scenes in the Star-Wars-The-Empire-Strikes-Back movie <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis10\": {\"anchor\": \"y10\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis2\": {\"anchor\": \"y2\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis3\": {\"anchor\": \"y3\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis4\": {\"anchor\": \"y4\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis5\": {\"anchor\": \"y5\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis6\": {\"anchor\": \"y6\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis7\": {\"anchor\": \"y7\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis8\": {\"anchor\": \"y8\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis9\": {\"anchor\": \"y9\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.88, 1.0], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis10\": {\"anchor\": \"x10\", \"domain\": [0.0, 0.12], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis2\": {\"anchor\": \"x2\", \"domain\": [0.88, 1.0], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis3\": {\"anchor\": \"x3\", \"domain\": [0.66, 0.78], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis4\": {\"anchor\": \"x4\", \"domain\": [0.66, 0.78], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis5\": {\"anchor\": \"x5\", \"domain\": [0.44, 0.56], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis6\": {\"anchor\": \"x6\", \"domain\": [0.44, 0.56], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis7\": {\"anchor\": \"x7\", \"domain\": [0.22, 0.33999999999999997], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis8\": {\"anchor\": \"x8\", \"domain\": [0.22, 0.33999999999999997], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis9\": {\"anchor\": \"x9\", \"domain\": [0.0, 0.12], \"title\": {\"text\": \"Average Sentiment\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('c99baa46-de66-4e4e-b82b-e71dd333c804');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_han_emotions = etn.emotional_arc_xter_plot(df_film_emotion, 'HAN')"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x",
"y": [
0,
0,
0.028277634961439587,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0048543689320388345,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.02857142857142857,
0,
0,
0,
0,
0,
0,
0.0056179775280898875,
0,
0,
0,
0,
0,
0,
0,
0.021739130434782608,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.125,
0,
0,
0.017543859649122806,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.023809523809523808,
0.011976047904191617,
0,
0,
0,
0.002081165452653486,
0,
0,
0,
0,
0,
0,
0.0013605442176870747,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.004618937644341801,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0032102728731942215,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0071301247771836,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.014563106796116505,
0,
0
],
"yaxis": "y"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x2",
"y": [
0,
0,
0.012853470437017995,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0024271844660194173,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.015873015873015872,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.02127659574468085,
0,
0,
0,
0,
0.016853932584269662,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.125,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.006289308176100629,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03296703296703297,
0,
0.015873015873015872,
0.00998003992015968,
0,
0,
0,
0.006243496357960458,
0,
0,
0,
0,
0,
0,
0.006802721088435374,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.006928406466512702,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0032102728731942215,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.009596928982725527,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0071301247771836,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03508771929824561,
0,
0,
0.014563106796116505,
0,
0
],
"yaxis": "y2"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x3",
"y": [
0,
0,
0.007712082262210797,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0024271844660194173,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.02857142857142857,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.125,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.007936507936507936,
0.017964071856287425,
0,
0,
0,
0.003121748178980229,
0,
0,
0,
0,
0,
0,
0.0013605442176870747,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.006928406466512702,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0016051364365971107,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0053475935828877,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.009708737864077669,
0,
0
],
"yaxis": "y3"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x4",
"y": [
0,
0,
0.017994858611825194,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.009708737864077669,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.005235602094240838,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.02857142857142857,
0,
0,
0,
0,
0,
0,
0.016853932584269662,
0,
0,
0,
0,
0,
0,
0,
0.021739130434782608,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.375,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.004901960784313725,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.023809523809523808,
0.01996007984031936,
0,
0,
0,
0.007284079084287201,
0,
0,
0,
0,
0,
0,
0.0013605442176870747,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.004618937644341801,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0016051364365971107,
0,
0,
0,
0,
0,
0.010416666666666666,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.005758157389635317,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.012477718360071301,
0,
0,
0,
0,
0,
0,
0,
0,
0.0018867924528301887,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.024271844660194174,
0,
0
],
"yaxis": "y4"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x5",
"y": [
0,
0,
0.002570694087403599,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0024271844660194173,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.015706806282722512,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.00980392156862745,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03296703296703297,
0,
0.007936507936507936,
0.005988023952095809,
0,
0,
0,
0.005202913631633715,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0023094688221709007,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0032102728731942215,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0019193857965451055,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0035650623885918,
0,
0,
0,
0,
0,
0,
0,
0,
0.0018867924528301887,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03508771929824561,
0,
0,
0.0048543689320388345,
0,
0
],
"yaxis": "y5"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x6",
"y": [
0,
0,
0.043701799485861184,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.012135922330097087,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.015873015873015872,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.05714285714285714,
0,
0,
0,
0,
0,
0,
0.0056179775280898875,
0,
0.018867924528301886,
0,
0,
0,
0,
0,
0.043478260869565216,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.25,
0,
0,
0.017543859649122806,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.006289308176100629,
0,
0.00980392156862745,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03968253968253968,
0.029940119760479042,
0,
0,
0,
0.005202913631633715,
0,
0,
0,
0,
0,
0,
0.004081632653061225,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011547344110854504,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0032102728731942215,
0,
0,
0,
0,
0,
0.017361111111111112,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0019193857965451055,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0106951871657754,
0,
0,
0,
0,
0,
0,
0,
0,
0.0018867924528301887,
0,
0,
0.03389830508474576,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.024271844660194174,
0,
0
],
"yaxis": "y6"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x7",
"y": [
0,
0,
0.015424164524421594,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0048543689320388345,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.015706806282722512,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.009174311926605505,
0,
0,
0,
0,
0,
0,
0,
0,
0.0425531914893617,
0,
0,
0,
0,
0.02247191011235955,
0,
0.018867924528301886,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.00980392156862745,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.054945054945054944,
0,
0.023809523809523808,
0.013972055888223553,
0,
0,
0,
0.01040582726326743,
0,
0,
0,
0,
0,
0,
0.004081632653061225,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0023094688221709007,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.006420545746388443,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011516314779270634,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0142602495543672,
0,
0,
0,
0,
0,
0,
0,
0,
0.0037735849056603774,
0,
0,
0.00847457627118644,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03508771929824561,
0,
0,
0.009708737864077669,
0,
0
],
"yaxis": "y7"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x8",
"y": [
0,
0,
0.010282776349614395,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0024271844660194173,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.009174311926605505,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.018867924528301886,
0,
0,
0,
0,
0,
0.043478260869565216,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.125,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.006289308176100629,
0,
0.004901960784313725,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.015873015873015872,
0.017964071856287425,
0,
0,
0,
0.001040582726326743,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.006928406466512702,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0016051364365971107,
0,
0,
0,
0,
0,
0.017361111111111112,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0019193857965451055,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.008912655971479501,
0,
0,
0,
0,
0,
0,
0,
0,
0.0018867924528301887,
0,
0,
0.00847457627118644,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0048543689320388345,
0,
0
],
"yaxis": "y8"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x9",
"y": [
0,
0,
0.007712082262210797,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0024271844660194173,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.005235602094240838,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.021739130434782608,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.00980392156862745,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.01098901098901099,
0,
0.03968253968253968,
0.015968063872255488,
0,
0,
0,
0.002081165452653486,
0,
0,
0,
0,
0,
0,
0.0013605442176870747,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.004618937644341801,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0016051364365971107,
0,
0,
0,
0,
0,
0.003472222222222222,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0071301247771836,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.01694915254237288,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03508771929824561,
0,
0,
0.009708737864077669,
0,
0
],
"yaxis": "y9"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x10",
"y": [
0,
0,
0.007712082262210797,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.007281553398058253,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.015706806282722512,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.02127659574468085,
0,
0,
0,
0,
0.02247191011235955,
0,
0,
0,
0,
0,
0,
0,
0.021739130434782608,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.1,
0,
0,
0,
0,
0,
0,
0,
0.08333333333333333,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.014705882352941176,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03296703296703297,
0,
0.007936507936507936,
0.003992015968063872,
0,
0,
0,
0.006243496357960458,
0,
0,
0,
0,
0,
0,
0.0027210884353741495,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0023094688221709007,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0016051364365971107,
0,
0,
0,
0,
0,
0.003472222222222222,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.003838771593090211,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0053475935828877,
0,
0,
0,
0,
0,
0,
0,
0,
0.0018867924528301887,
0,
0,
0.00847457627118644,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.03125,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.017543859649122806,
0,
0,
0.009708737864077669,
0,
0
],
"yaxis": "y10"
}
],
"layout": {
"annotations": [
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Anger",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 1,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Anticipation",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 1,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Disgust",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.78,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Fear",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.78,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Joy",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.56,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Negative",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.56,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Positive",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.33999999999999997,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Sadness",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.33999999999999997,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Surprise",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.12,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Trust",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.12,
"yanchor": "bottom",
"yref": "paper"
}
],
"height": 1500,
"showlegend": false,
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Emotional arcs of LUKE across the scenes in the Star-Wars-The-Empire-Strikes-Back movie <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis10": {
"anchor": "y10",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis2": {
"anchor": "y2",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis3": {
"anchor": "y3",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis4": {
"anchor": "y4",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis5": {
"anchor": "y5",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis6": {
"anchor": "y6",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis7": {
"anchor": "y7",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis8": {
"anchor": "y8",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis9": {
"anchor": "y9",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0.88,
1
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis10": {
"anchor": "x10",
"domain": [
0,
0.12
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis2": {
"anchor": "x2",
"domain": [
0.88,
1
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis3": {
"anchor": "x3",
"domain": [
0.66,
0.78
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis4": {
"anchor": "x4",
"domain": [
0.66,
0.78
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis5": {
"anchor": "x5",
"domain": [
0.44,
0.56
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis6": {
"anchor": "x6",
"domain": [
0.44,
0.56
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis7": {
"anchor": "x7",
"domain": [
0.22,
0.33999999999999997
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis8": {
"anchor": "x8",
"domain": [
0.22,
0.33999999999999997
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis9": {
"anchor": "x9",
"domain": [
0,
0.12
],
"title": {
"text": "Average Sentiment"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"c48e9ff4-97dc-4dca-9e4b-2c9bd2063721\" class=\"plotly-graph-div\" style=\"height:1500px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"c48e9ff4-97dc-4dca-9e4b-2c9bd2063721\")) {\n",
" Plotly.newPlot(\n",
" 'c48e9ff4-97dc-4dca-9e4b-2c9bd2063721',\n",
" [{\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x\", \"y\": [0.0, 0.0, 0.028277634961439587, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0048543689320388345, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02857142857142857, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0056179775280898875, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021739130434782608, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.125, 0.0, 0.0, 0.017543859649122806, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.023809523809523808, 0.011976047904191617, 0.0, 0.0, 0.0, 0.002081165452653486, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013605442176870747, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004618937644341801, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0032102728731942215, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0071301247771836, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.014563106796116505, 0.0, 0.0], \"yaxis\": \"y\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x2\", \"y\": [0.0, 0.0, 0.012853470437017995, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0024271844660194173, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02127659574468085, 0.0, 0.0, 0.0, 0.0, 0.016853932584269662, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.125, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006289308176100629, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03296703296703297, 0.0, 0.015873015873015872, 0.00998003992015968, 0.0, 0.0, 0.0, 0.006243496357960458, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006802721088435374, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006928406466512702, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0032102728731942215, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009596928982725527, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0071301247771836, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03508771929824561, 0.0, 0.0, 0.014563106796116505, 0.0, 0.0], \"yaxis\": \"y2\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x3\", \"y\": [0.0, 0.0, 0.007712082262210797, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0024271844660194173, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02857142857142857, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.125, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007936507936507936, 0.017964071856287425, 0.0, 0.0, 0.0, 0.003121748178980229, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013605442176870747, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006928406466512702, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0016051364365971107, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0053475935828877, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009708737864077669, 0.0, 0.0], \"yaxis\": \"y3\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x4\", \"y\": [0.0, 0.0, 0.017994858611825194, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009708737864077669, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005235602094240838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02857142857142857, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.016853932584269662, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021739130434782608, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.375, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004901960784313725, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.023809523809523808, 0.01996007984031936, 0.0, 0.0, 0.0, 0.007284079084287201, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013605442176870747, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004618937644341801, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0016051364365971107, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010416666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005758157389635317, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012477718360071301, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0018867924528301887, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.024271844660194174, 0.0, 0.0], \"yaxis\": \"y4\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x5\", \"y\": [0.0, 0.0, 0.002570694087403599, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0024271844660194173, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015706806282722512, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00980392156862745, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03296703296703297, 0.0, 0.007936507936507936, 0.005988023952095809, 0.0, 0.0, 0.0, 0.005202913631633715, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0023094688221709007, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0032102728731942215, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0019193857965451055, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0035650623885918, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0018867924528301887, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03508771929824561, 0.0, 0.0, 0.0048543689320388345, 0.0, 0.0], \"yaxis\": \"y5\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x6\", \"y\": [0.0, 0.0, 0.043701799485861184, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012135922330097087, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05714285714285714, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0056179775280898875, 0.0, 0.018867924528301886, 0.0, 0.0, 0.0, 0.0, 0.0, 0.043478260869565216, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.0, 0.017543859649122806, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006289308176100629, 0.0, 0.00980392156862745, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03968253968253968, 0.029940119760479042, 0.0, 0.0, 0.0, 0.005202913631633715, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004081632653061225, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011547344110854504, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0032102728731942215, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017361111111111112, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0019193857965451055, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0106951871657754, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0018867924528301887, 0.0, 0.0, 0.03389830508474576, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.024271844660194174, 0.0, 0.0], \"yaxis\": \"y6\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x7\", \"y\": [0.0, 0.0, 0.015424164524421594, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0048543689320388345, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015706806282722512, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009174311926605505, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0425531914893617, 0.0, 0.0, 0.0, 0.0, 0.02247191011235955, 0.0, 0.018867924528301886, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00980392156862745, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.054945054945054944, 0.0, 0.023809523809523808, 0.013972055888223553, 0.0, 0.0, 0.0, 0.01040582726326743, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004081632653061225, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0023094688221709007, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006420545746388443, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011516314779270634, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0142602495543672, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0037735849056603774, 0.0, 0.0, 0.00847457627118644, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03508771929824561, 0.0, 0.0, 0.009708737864077669, 0.0, 0.0], \"yaxis\": \"y7\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x8\", \"y\": [0.0, 0.0, 0.010282776349614395, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0024271844660194173, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009174311926605505, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018867924528301886, 0.0, 0.0, 0.0, 0.0, 0.0, 0.043478260869565216, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.125, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006289308176100629, 0.0, 0.004901960784313725, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.017964071856287425, 0.0, 0.0, 0.0, 0.001040582726326743, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006928406466512702, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0016051364365971107, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017361111111111112, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0019193857965451055, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008912655971479501, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0018867924528301887, 0.0, 0.0, 0.00847457627118644, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0048543689320388345, 0.0, 0.0], \"yaxis\": \"y8\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x9\", \"y\": [0.0, 0.0, 0.007712082262210797, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0024271844660194173, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005235602094240838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021739130434782608, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00980392156862745, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01098901098901099, 0.0, 0.03968253968253968, 0.015968063872255488, 0.0, 0.0, 0.0, 0.002081165452653486, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013605442176870747, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004618937644341801, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0016051364365971107, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003472222222222222, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0071301247771836, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01694915254237288, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03508771929824561, 0.0, 0.0, 0.009708737864077669, 0.0, 0.0], \"yaxis\": \"y9\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x10\", \"y\": [0.0, 0.0, 0.007712082262210797, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007281553398058253, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015706806282722512, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02127659574468085, 0.0, 0.0, 0.0, 0.0, 0.02247191011235955, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021739130434782608, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.08333333333333333, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.014705882352941176, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03296703296703297, 0.0, 0.007936507936507936, 0.003992015968063872, 0.0, 0.0, 0.0, 0.006243496357960458, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0027210884353741495, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0023094688221709007, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0016051364365971107, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003472222222222222, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003838771593090211, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0053475935828877, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0018867924528301887, 0.0, 0.0, 0.00847457627118644, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03125, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017543859649122806, 0.0, 0.0, 0.009708737864077669, 0.0, 0.0], \"yaxis\": \"y10\"}],\n",
" {\"annotations\": [{\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Anger\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 1.0, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Anticipation\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 1.0, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Disgust\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.78, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Fear\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.78, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Joy\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.56, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Negative\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.56, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Positive\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.33999999999999997, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Sadness\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.33999999999999997, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Surprise\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.12, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Trust\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.12, \"yanchor\": \"bottom\", \"yref\": \"paper\"}], \"height\": 1500, \"showlegend\": false, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Emotional arcs of LUKE across the scenes in the Star-Wars-The-Empire-Strikes-Back movie <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis10\": {\"anchor\": \"y10\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis2\": {\"anchor\": \"y2\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis3\": {\"anchor\": \"y3\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis4\": {\"anchor\": \"y4\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis5\": {\"anchor\": \"y5\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis6\": {\"anchor\": \"y6\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis7\": {\"anchor\": \"y7\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis8\": {\"anchor\": \"y8\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis9\": {\"anchor\": \"y9\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.88, 1.0], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis10\": {\"anchor\": \"x10\", \"domain\": [0.0, 0.12], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis2\": {\"anchor\": \"x2\", \"domain\": [0.88, 1.0], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis3\": {\"anchor\": \"x3\", \"domain\": [0.66, 0.78], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis4\": {\"anchor\": \"x4\", \"domain\": [0.66, 0.78], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis5\": {\"anchor\": \"x5\", \"domain\": [0.44, 0.56], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis6\": {\"anchor\": \"x6\", \"domain\": [0.44, 0.56], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis7\": {\"anchor\": \"x7\", \"domain\": [0.22, 0.33999999999999997], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis8\": {\"anchor\": \"x8\", \"domain\": [0.22, 0.33999999999999997], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis9\": {\"anchor\": \"x9\", \"domain\": [0.0, 0.12], \"title\": {\"text\": \"Average Sentiment\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('c48e9ff4-97dc-4dca-9e4b-2c9bd2063721');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_luke_emotions = etn.emotional_arc_xter_plot(df_film_emotion, 'LUKE')"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x",
"y": [
0,
0,
0,
0,
0,
0,
0,
0.009615384615384616,
0,
0,
0,
0,
0,
0,
0,
0.00980392156862745,
0,
0,
0,
0,
0,
0,
0,
0.0021008403361344537,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.005747126436781609,
0,
0,
0,
0,
0,
0,
0,
0.0051813471502590676,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.002890173410404624,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0026666666666666666,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.012195121951219513,
0,
0.009569377990430622,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0036900369003690036,
0,
0,
0.0055658627087198514,
0,
0,
0,
0.00234192037470726,
0,
0,
0,
0,
0,
0.0034602076124567475,
0,
0,
0.014084507042253521,
0,
0,
0,
0.003745318352059925,
0,
0.020202020202020204,
0.02631578947368421,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.015873015873015872,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x2",
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.019417475728155338,
0,
0.016339869281045753,
0,
0,
0,
0,
0,
0,
0,
0.004201680672268907,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.01652892561983471,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.006993006993006993,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.046875,
0.017241379310344827,
0,
0,
0.011363636363636364,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.006944444444444444,
0,
0,
0,
0,
0,
0.010752688172043012,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.008670520231213872,
0,
0.0028776978417266188,
0,
0,
0,
0,
0,
0,
0,
0,
0.005405405405405406,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.024390243902439025,
0,
0.004784688995215311,
0,
0,
0,
0,
0,
0,
0.004484304932735426,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0040650406504065045,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0055658627087198514,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034602076124567475,
0,
0.029411764705882353,
0.014084507042253521,
0,
0,
0,
0,
0.006493506493506494,
0.020202020202020204,
0.02631578947368421,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.007936507936507936,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y2"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x3",
"y": [
0,
0,
0,
0,
0,
0,
0,
0.009615384615384616,
0,
0,
0,
0,
0,
0,
0,
0.006535947712418301,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0014388489208633094,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0018552875695732839,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.00980392156862745,
0,
0,
0,
0,
0.003745318352059925,
0,
0.020202020202020204,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y3"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x4",
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
0.00273224043715847,
0,
0,
0,
0,
0,
0,
0.013071895424836602,
0,
0,
0,
0,
0,
0,
0,
0.0021008403361344537,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.002890173410404624,
0,
0.0014388489208633094,
0,
0,
0,
0,
0,
0,
0,
0,
0.005405405405405406,
0.0026666666666666666,
0,
0.005555555555555556,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.004784688995215311,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0040650406504065045,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.007380073800738007,
0,
0,
0,
0,
0,
0,
0.00468384074941452,
0,
0,
0,
0,
0,
0,
0,
0.0196078431372549,
0.018779342723004695,
0,
0,
0,
0,
0.006493506493506494,
0.030303030303030304,
0.02631578947368421,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.007936507936507936,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y4"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x5",
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
0.00273224043715847,
0,
0,
0,
0,
0,
0,
0.006535947712418301,
0,
0,
0,
0,
0,
0,
0,
0.004201680672268907,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.01652892561983471,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.006944444444444444,
0,
0,
0,
0,
0,
0.010752688172043012,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0014388489208633094,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.024390243902439025,
0,
0.004784688995215311,
0,
0,
0,
0,
0,
0,
0.002242152466367713,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.07142857142857142,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0037105751391465678,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0196078431372549,
0.004694835680751174,
0,
0,
0,
0,
0.006493506493506494,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.007936507936507936,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y5"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x6",
"y": [
0,
0,
0,
0,
0,
0,
0,
0.009615384615384616,
0.00273224043715847,
0,
0,
0,
0,
0.038834951456310676,
0,
0.026143790849673203,
0,
0,
0,
0,
0,
0,
0,
0.0021008403361344537,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.046875,
0.017241379310344827,
0,
0,
0.011363636363636364,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.005747126436781609,
0,
0,
0,
0,
0,
0,
0,
0.0051813471502590676,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011560693641618497,
0,
0.0028776978417266188,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0026666666666666666,
0,
0.005555555555555556,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.024390243902439025,
0,
0.019138755980861243,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.007380073800738007,
0,
0,
0.016697588126159554,
0,
0,
0,
0.00702576112412178,
0,
0,
0,
0,
0,
0.0034602076124567475,
0,
0.0196078431372549,
0.014084507042253521,
0,
0,
0,
0.003745318352059925,
0.01948051948051948,
0.04040404040404041,
0.02631578947368421,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.031746031746031744,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y6"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x7",
"y": [
0,
0,
0,
0,
0,
0,
0,
0.009615384615384616,
0.030054644808743168,
0,
0,
0,
0,
0.019417475728155338,
0,
0.026143790849673203,
0,
0,
0,
0,
0,
0,
0,
0.01050420168067227,
0.005780346820809248,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.04132231404958678,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.015625,
0,
0,
0,
0.045454545454545456,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.01818181818181818,
0,
0,
0,
0.017241379310344827,
0,
0,
0,
0.013888888888888888,
0,
0,
0,
0.0051813471502590676,
0,
0.021505376344086023,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.008670520231213872,
0,
0.011510791366906475,
0,
0,
0,
0,
0,
0,
0,
0,
0.010810810810810811,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.024390243902439025,
0,
0.023923444976076555,
0,
0,
0,
0,
0,
0,
0.008968609865470852,
0,
0,
0,
0,
0,
0,
0,
0.013513513513513514,
0,
0,
0,
0.07142857142857142,
0.011627906976744186,
0.0040650406504065045,
0.02702702702702703,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0037105751391465678,
0,
0,
0,
0.00234192037470726,
0,
0,
0,
0,
0,
0,
0,
0.0196078431372549,
0.03286384976525822,
0,
0,
0,
0,
0.01948051948051948,
0.020202020202020204,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.007936507936507936,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011904761904761904,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y7"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x8",
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
0.00273224043715847,
0,
0,
0,
0,
0.009708737864077669,
0,
0.00980392156862745,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.004784688995215311,
0,
0,
0,
0,
0,
0,
0.002242152466367713,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.007380073800738007,
0,
0,
0.0018552875695732839,
0,
0,
0,
0.00117096018735363,
0,
0,
0,
0,
0,
0.0034602076124567475,
0,
0.00980392156862745,
0.004694835680751174,
0,
0,
0,
0,
0.006493506493506494,
0.020202020202020204,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.007936507936507936,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y8"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x9",
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
0.00546448087431694,
0,
0,
0,
0,
0,
0,
0.013071895424836602,
0,
0,
0,
0,
0,
0,
0,
0.004201680672268907,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.01652892561983471,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.008670520231213872,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.012195121951219513,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0036900369003690036,
0,
0,
0.0018552875695732839,
0,
0,
0,
0.00234192037470726,
0,
0,
0,
0,
0,
0,
0,
0.00980392156862745,
0.009389671361502348,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011904761904761904,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y9"
},
{
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276
],
"xaxis": "x10",
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
0.01366120218579235,
0,
0,
0,
0,
0,
0,
0.006535947712418301,
0,
0,
0,
0,
0,
0,
0,
0.0063025210084033615,
0.005780346820809248,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.01652892561983471,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0034965034965034965,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.022727272727272728,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.02727272727272727,
0,
0,
0,
0.017241379310344827,
0,
0,
0,
0.006944444444444444,
0,
0,
0,
0.0051813471502590676,
0,
0.010752688172043012,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.005780346820809248,
0,
0.008633093525179856,
0,
0,
0,
0,
0,
0,
0,
0,
0.010810810810810811,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.024390243902439025,
0,
0.014354066985645933,
0,
0,
0,
0,
0,
0,
0.002242152466367713,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.07142857142857142,
0.003875968992248062,
0.0040650406504065045,
0.009009009009009009,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.0037105751391465678,
0,
0,
0,
0.00117096018735363,
0,
0,
0,
0,
0,
0.006920415224913495,
0,
0.0196078431372549,
0.018779342723004695,
0,
0,
0,
0.003745318352059925,
0.012987012987012988,
0.020202020202020204,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.015873015873015872,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"yaxis": "y10"
}
],
"layout": {
"annotations": [
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Anger",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 1,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Anticipation",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 1,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Disgust",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.78,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Fear",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.78,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Joy",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.56,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Negative",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.56,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Positive",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.33999999999999997,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Sadness",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.33999999999999997,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Surprise",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.12,
"yanchor": "bottom",
"yref": "paper"
},
{
"font": {
"size": 16
},
"showarrow": false,
"text": "Trust",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.12,
"yanchor": "bottom",
"yref": "paper"
}
],
"height": 1500,
"showlegend": false,
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Emotional arcs of THREEPIO across the scenes in the Star-Wars-The-Empire-Strikes-Back movie <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis10": {
"anchor": "y10",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis2": {
"anchor": "y2",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis3": {
"anchor": "y3",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis4": {
"anchor": "y4",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis5": {
"anchor": "y5",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis6": {
"anchor": "y6",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis7": {
"anchor": "y7",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis8": {
"anchor": "y8",
"domain": [
0.55,
1
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"xaxis9": {
"anchor": "y9",
"domain": [
0,
0.45
],
"dtick": 20,
"title": {
"text": "Scenes"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0.88,
1
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis10": {
"anchor": "x10",
"domain": [
0,
0.12
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis2": {
"anchor": "x2",
"domain": [
0.88,
1
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis3": {
"anchor": "x3",
"domain": [
0.66,
0.78
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis4": {
"anchor": "x4",
"domain": [
0.66,
0.78
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis5": {
"anchor": "x5",
"domain": [
0.44,
0.56
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis6": {
"anchor": "x6",
"domain": [
0.44,
0.56
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis7": {
"anchor": "x7",
"domain": [
0.22,
0.33999999999999997
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis8": {
"anchor": "x8",
"domain": [
0.22,
0.33999999999999997
],
"title": {
"text": "Average Sentiment"
}
},
"yaxis9": {
"anchor": "x9",
"domain": [
0,
0.12
],
"title": {
"text": "Average Sentiment"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"ec968cef-5867-43c1-afa5-7af9d396da97\" class=\"plotly-graph-div\" style=\"height:1500px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"ec968cef-5867-43c1-afa5-7af9d396da97\")) {\n",
" Plotly.newPlot(\n",
" 'ec968cef-5867-43c1-afa5-7af9d396da97',\n",
" [{\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009615384615384616, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00980392156862745, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0021008403361344537, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005747126436781609, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0051813471502590676, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002890173410404624, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0026666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012195121951219513, 0.0, 0.009569377990430622, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0036900369003690036, 0.0, 0.0, 0.0055658627087198514, 0.0, 0.0, 0.0, 0.00234192037470726, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034602076124567475, 0.0, 0.0, 0.014084507042253521, 0.0, 0.0, 0.0, 0.003745318352059925, 0.0, 0.020202020202020204, 0.02631578947368421, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x2\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.019417475728155338, 0.0, 0.016339869281045753, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004201680672268907, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01652892561983471, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006993006993006993, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.046875, 0.017241379310344827, 0.0, 0.0, 0.011363636363636364, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006944444444444444, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010752688172043012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008670520231213872, 0.0, 0.0028776978417266188, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005405405405405406, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.024390243902439025, 0.0, 0.004784688995215311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004484304932735426, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0040650406504065045, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0055658627087198514, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034602076124567475, 0.0, 0.029411764705882353, 0.014084507042253521, 0.0, 0.0, 0.0, 0.0, 0.006493506493506494, 0.020202020202020204, 0.02631578947368421, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007936507936507936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y2\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x3\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009615384615384616, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006535947712418301, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0014388489208633094, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0018552875695732839, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00980392156862745, 0.0, 0.0, 0.0, 0.0, 0.003745318352059925, 0.0, 0.020202020202020204, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y3\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x4\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00273224043715847, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013071895424836602, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0021008403361344537, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002890173410404624, 0.0, 0.0014388489208633094, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005405405405405406, 0.0026666666666666666, 0.0, 0.005555555555555556, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004784688995215311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0040650406504065045, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007380073800738007, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00468384074941452, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0196078431372549, 0.018779342723004695, 0.0, 0.0, 0.0, 0.0, 0.006493506493506494, 0.030303030303030304, 0.02631578947368421, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007936507936507936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y4\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x5\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00273224043715847, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006535947712418301, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004201680672268907, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01652892561983471, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006944444444444444, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010752688172043012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0014388489208633094, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.024390243902439025, 0.0, 0.004784688995215311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002242152466367713, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07142857142857142, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0037105751391465678, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0196078431372549, 0.004694835680751174, 0.0, 0.0, 0.0, 0.0, 0.006493506493506494, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007936507936507936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y5\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x6\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009615384615384616, 0.00273224043715847, 0.0, 0.0, 0.0, 0.0, 0.038834951456310676, 0.0, 0.026143790849673203, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0021008403361344537, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.046875, 0.017241379310344827, 0.0, 0.0, 0.011363636363636364, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005747126436781609, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0051813471502590676, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011560693641618497, 0.0, 0.0028776978417266188, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0026666666666666666, 0.0, 0.005555555555555556, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.024390243902439025, 0.0, 0.019138755980861243, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007380073800738007, 0.0, 0.0, 0.016697588126159554, 0.0, 0.0, 0.0, 0.00702576112412178, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034602076124567475, 0.0, 0.0196078431372549, 0.014084507042253521, 0.0, 0.0, 0.0, 0.003745318352059925, 0.01948051948051948, 0.04040404040404041, 0.02631578947368421, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.031746031746031744, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y6\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x7\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009615384615384616, 0.030054644808743168, 0.0, 0.0, 0.0, 0.0, 0.019417475728155338, 0.0, 0.026143790849673203, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01050420168067227, 0.005780346820809248, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.04132231404958678, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015625, 0.0, 0.0, 0.0, 0.045454545454545456, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01818181818181818, 0.0, 0.0, 0.0, 0.017241379310344827, 0.0, 0.0, 0.0, 0.013888888888888888, 0.0, 0.0, 0.0, 0.0051813471502590676, 0.0, 0.021505376344086023, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008670520231213872, 0.0, 0.011510791366906475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010810810810810811, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.024390243902439025, 0.0, 0.023923444976076555, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008968609865470852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013513513513513514, 0.0, 0.0, 0.0, 0.07142857142857142, 0.011627906976744186, 0.0040650406504065045, 0.02702702702702703, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0037105751391465678, 0.0, 0.0, 0.0, 0.00234192037470726, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0196078431372549, 0.03286384976525822, 0.0, 0.0, 0.0, 0.0, 0.01948051948051948, 0.020202020202020204, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007936507936507936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011904761904761904, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y7\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x8\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00273224043715847, 0.0, 0.0, 0.0, 0.0, 0.009708737864077669, 0.0, 0.00980392156862745, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004784688995215311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002242152466367713, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007380073800738007, 0.0, 0.0, 0.0018552875695732839, 0.0, 0.0, 0.0, 0.00117096018735363, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034602076124567475, 0.0, 0.00980392156862745, 0.004694835680751174, 0.0, 0.0, 0.0, 0.0, 0.006493506493506494, 0.020202020202020204, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007936507936507936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y8\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x9\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00546448087431694, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013071895424836602, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004201680672268907, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01652892561983471, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008670520231213872, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012195121951219513, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0036900369003690036, 0.0, 0.0, 0.0018552875695732839, 0.0, 0.0, 0.0, 0.00234192037470726, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00980392156862745, 0.009389671361502348, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011904761904761904, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y9\"}, {\"type\": \"scatter\", \"x\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], \"xaxis\": \"x10\", \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01366120218579235, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006535947712418301, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0063025210084033615, 0.005780346820809248, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01652892561983471, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034965034965034965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022727272727272728, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02727272727272727, 0.0, 0.0, 0.0, 0.017241379310344827, 0.0, 0.0, 0.0, 0.006944444444444444, 0.0, 0.0, 0.0, 0.0051813471502590676, 0.0, 0.010752688172043012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005780346820809248, 0.0, 0.008633093525179856, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010810810810810811, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.024390243902439025, 0.0, 0.014354066985645933, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002242152466367713, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07142857142857142, 0.003875968992248062, 0.0040650406504065045, 0.009009009009009009, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0037105751391465678, 0.0, 0.0, 0.0, 0.00117096018735363, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006920415224913495, 0.0, 0.0196078431372549, 0.018779342723004695, 0.0, 0.0, 0.0, 0.003745318352059925, 0.012987012987012988, 0.020202020202020204, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015873015873015872, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], \"yaxis\": \"y10\"}],\n",
" {\"annotations\": [{\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Anger\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 1.0, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Anticipation\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 1.0, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Disgust\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.78, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Fear\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.78, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Joy\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.56, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Negative\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.56, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Positive\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.33999999999999997, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Sadness\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.33999999999999997, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Surprise\", \"x\": 0.225, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.12, \"yanchor\": \"bottom\", \"yref\": \"paper\"}, {\"font\": {\"size\": 16}, \"showarrow\": false, \"text\": \"Trust\", \"x\": 0.775, \"xanchor\": \"center\", \"xref\": \"paper\", \"y\": 0.12, \"yanchor\": \"bottom\", \"yref\": \"paper\"}], \"height\": 1500, \"showlegend\": false, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Emotional arcs of THREEPIO across the scenes in the Star-Wars-The-Empire-Strikes-Back movie <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis10\": {\"anchor\": \"y10\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis2\": {\"anchor\": \"y2\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis3\": {\"anchor\": \"y3\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis4\": {\"anchor\": \"y4\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis5\": {\"anchor\": \"y5\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis6\": {\"anchor\": \"y6\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis7\": {\"anchor\": \"y7\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis8\": {\"anchor\": \"y8\", \"domain\": [0.55, 1.0], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"xaxis9\": {\"anchor\": \"y9\", \"domain\": [0.0, 0.45], \"dtick\": 20, \"title\": {\"text\": \"Scenes\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.88, 1.0], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis10\": {\"anchor\": \"x10\", \"domain\": [0.0, 0.12], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis2\": {\"anchor\": \"x2\", \"domain\": [0.88, 1.0], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis3\": {\"anchor\": \"x3\", \"domain\": [0.66, 0.78], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis4\": {\"anchor\": \"x4\", \"domain\": [0.66, 0.78], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis5\": {\"anchor\": \"x5\", \"domain\": [0.44, 0.56], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis6\": {\"anchor\": \"x6\", \"domain\": [0.44, 0.56], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis7\": {\"anchor\": \"x7\", \"domain\": [0.22, 0.33999999999999997], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis8\": {\"anchor\": \"x8\", \"domain\": [0.22, 0.33999999999999997], \"title\": {\"text\": \"Average Sentiment\"}}, \"yaxis9\": {\"anchor\": \"x9\", \"domain\": [0.0, 0.12], \"title\": {\"text\": \"Average Sentiment\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('ec968cef-5867-43c1-afa5-7af9d396da97');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_threeio_emotions = etn.emotional_arc_xter_plot(df_film_emotion, 'THREEPIO')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### As usual, this can be done for all characters in the movie, but we will pause here...."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 4. Movie additional information: Exact Scene location, Indoor/Outdoor Scenes percent, Time of Day occurences in the movie...."
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [],
"source": [
"info = scene_info_plots(df_film, film)"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false
},
"data": [
{
"alignmentgroup": "True",
"customdata": [
[
"WEDGE'S SNOWSPEEDER, ROGUE THREE",
1
],
[
"GIANT ASTEROID CRATER",
1
],
[
"SPACE DAGOBAH LUKE'S XWING",
1
],
[
"DAGOBAH BOG CLEARING",
1
],
[
"MILLENNIUM FALCON MAIN HOLD AREA",
1
],
[
"SPACE ASTEROID FIELD",
1
],
[
"ASTEROID FIELD VADER'S STAR DESTROYER",
1
],
[
"MILLENNIUM FALCON GIANT ASTEROID CRATER",
1
],
[
"DAGOBAH CREATURE'S HOUSE",
1
],
[
"SPACE STAR DESTROYERS ASTEROID FIELD",
1
],
[
"ASTEROID CAVE MILLENNIUM FALCON HOLD AREA",
1
],
[
"ASTEROID CAVE MILLENNIUM FALCON ENTRY AREA",
1
],
[
"SPACE SLUG MOUTH",
1
],
[
"CAVE ENTRANCE GIANT ASTEROID",
1
],
[
"MILLENNIUM FALCON GIANT ASTEROID",
1
],
[
"CREATURE'S HOUSE",
1
],
[
"DAGOBAH TREE CAVE",
1
],
[
"MILLENNIUM FALCON ASTEROID BELT",
1
],
[
"SPACE STAR DESTROYER ASTEROID BELT",
1
],
[
"BATTLEFIELD SNOW TRENCH",
1
],
[
"HOTH SNOW TRENCH",
1
],
[
"HOTH BATTLEFIELD ICE PLAIN",
1
],
[
"HOTH REBEL BASE ICE CORRIDORS",
1
],
[
"REBEL BASE MAIN HANGER MILLENNIUM FALCON",
1
],
[
"MAIN HANGAR MILLENNIUM FALCON MAIN HOLD",
1
],
[
"MILLENNIUM FALCON TIE FIGHTERS ASTEROID BELT",
1
],
[
"MAIN HANGAR MILLENNIUM FALCON",
1
],
[
"SPACE MILLENNIUM FALCON",
1
],
[
"SPACE MILLENNIUM FALCON STAR DESTROYERS",
1
],
[
"STAR DESTROYER BRIDGE",
1
],
[
"SPACE MILLENNIUM FALCON TIE FIGHTERS",
1
],
[
"SPACE MILLENNIUM FALCON TIE FIGHTERS STAR DESTROYER",
1
],
[
"ASTEROID BELT MILLENNIUM FALCON",
1
],
[
"HOTH ICE SLOPE",
1
],
[
"ZEV'S SNOWSPEEDER, ROGUE TWO",
1
],
[
"DAGOBAH CAVE",
1
],
[
"VADER'S STAR DESTROYER BRIDGE CONTROL DECK",
1
],
[
"CLOUD CITY CARBONFREEZING CHAMBER ANTEROOM",
1
],
[
"CLOUD CITY EAST LANDING PLATFORM BOBA FETT'S SHIP",
1
],
[
"EAST LANDING PLATFORM SIDE BAY",
1
],
[
"CLOUD CITY TUNNEL AND REACTOR CONTROL ROOM",
1
],
[
"CLOUD CITY CORRIDOR LEADING TO LANDING PLATFORM",
1
],
[
"LANDING PLATFORM CLOUD CITY",
1
],
[
"CLOUD CITY HALLWAY LEADING TO ANTEROOM",
1
],
[
"MILLENNIUM FALCON CORRIDOR",
1
],
[
"EXHAUST PIPE",
1
],
[
"CLOUD CITY MILLENNIUM FALCON",
1
],
[
"MILLENNIUM FALCON BOTTOM OF CLOUD CITY",
1
],
[
"MILLENNIUM FALCON HATCH",
1
],
[
"SPACE CLOUD CITY",
1
],
[
"SPACE REBEL CRUISER",
1
],
[
"REACTOR SHAFT",
1
],
[
"SPACE VADER'S STAR DESTROYER",
1
],
[
"SPACE BESPIN SYSTEM LUKE'S XWING",
1
],
[
"CLOUD CITY PRISON ENTRY AREA",
1
],
[
"IMPERIAL STAR DESTROYER, AVENGER ASTEROID BELT",
1
],
[
"MILLENNIUM FALCON STAR DESTROYER, AVENGER ASTEROID FIELD",
1
],
[
"SPACE MILLENNIUM FALCON ASTEROID FIELD",
1
],
[
"STAR DESTROYER, AVENGER BRIDGE",
1
],
[
"DAGOBAH BOG CLEARING",
1
],
[
"BESPIN SYSTEM MILLENNIUM FALCON",
1
],
[
"CLOUD CITY HOLDING CHAMBER",
1
],
[
"BESPIN SURFACE MILLENNIUM FALCON",
1
],
[
"CLOUD CITY LANDING PLATFORM MILLENNIUM FALCON",
1
],
[
"LANDING PLATFORM DOOR OF MILLENNIUM FALCON.",
1
],
[
"SPACE PLANET DAGOBAH",
1
],
[
"CLOUD CITY JUNK ROOM",
1
],
[
"CLOUD CITY DINING ROOM",
1
],
[
"LUKE'S XWING BESPIN SYSTEM",
1
],
[
"CLOUD CITY MILLENNIUM FALCON CLOUD CARS",
1
],
[
"SPACE REBEL STAR CRUISER",
1
],
[
"GALAXY SPACE",
1
],
[
"HOTH ICE PLAIN SNOWTRENCH",
1
],
[
"GALAXY PLANET HOTH",
1
],
[
"HOTH METEORITE CRATER SNOW PLAIN",
1
],
[
"PLAIN OF HOTH",
1
],
[
"HOTH REBEL BASE ENTRANCE",
1
],
[
"HOTH REBEL BASE ANOTHER ICE CORRIDOR",
1
],
[
"HOTH REBEL BASE MAIN ICE TUNNEL",
1
],
[
"HOTH ICE GORGE",
1
],
[
"HOTH OUTSIDE ICE HANGAR",
1
],
[
"REBEL BASE MAIN HANGAR DECK ENTRANCE",
1
],
[
"SNOWSPEEDER COCKPIT",
1
],
[
"SNOWSPEEDER COCKPIT",
1
],
[
"HOTH ENTRANCE TO ICE GORGE",
1
],
[
"DARTH VADER'S STAR DESTROYER BRIDGE MAIN CONTROL DECK",
1
],
[
"REBEL BASE MEDICAL CENTER RECOVERY ROOM",
1
],
[
"HOTH ICE PLAIN",
1
],
[
"SPACE HOTH REBEL TRANSPORT",
1
],
[
"REBEL BASE ICE CAVE ION CANNON",
1
],
[
"IMPERIAL STAR DESTROYER BRIDGE",
1
],
[
"REBEL BASE CORRIDOR",
1
],
[
"HOTH ICE PLAIN POWER GENERATORS",
1
],
[
"VADER'S STAR DESTROYER VADER'S CHAMBER MEDITATION CUBICLE",
1
],
[
"REBEL BASE CONTROL ROOM.",
1
],
[
"HOTH REBEL BASE TRANSPORT BAY",
1
],
[
"ICE PLAIN",
1
],
[
"HOTH ICE PLAIN SNOW TRENCH AREA",
1
],
[
"VADER'S STAR DESTROYER VADER'S CHAMBER",
2
],
[
"HOTH SNOW PLAIN",
2
],
[
"HOTH SNOW DRIFT",
2
],
[
"REBEL BASE MEDICAL CENTER",
2
],
[
"SPACE IMPERIAL STAR DESTROYER",
2
],
[
"REBEL BASE MAIN HANGAR",
2
],
[
"HOTH REBEL BASE MAIN HANGAR",
2
],
[
"MAIN HANGAR MILLENNIUM FALCON COCKPIT",
2
],
[
"SPACE LUKE'S XWING",
2
],
[
"DAGOBAH",
2
],
[
"ASTEROID CAVE MILLENNIUM FALCON",
2
],
[
"DAGOBAH BOG",
2
],
[
"LANDING PLATFORM DOOR OF MILLENNIUM FALCON",
2
],
[
"CLOUD CITY ANTEROOM",
2
],
[
"CLOUD CITY LIVING QUARTERS",
2
],
[
"CLOUD CITY LARGE CELL",
2
],
[
"GANTRY OUTSIDE CONTROL ROOM REACTOR SHAFT",
2
],
[
"MILLENNIUM FALCON",
2
],
[
"BOTTOM OF CLOUD CITY",
2
],
[
"STAR CRUISER MEDICAL CENTER",
2
],
[
"ASTEROID CAVE MILLENNIUM FALCON COCKPIT",
2
],
[
"HOTH REBEL BASE MAIN HANGAR DECK",
3
],
[
"HOTH REBEL BASE ICE CORRIDOR",
3
],
[
"SPACE IMPERIAL FLEET",
3
],
[
"REBEL BASE MAIN HANGAR DECK",
3
],
[
"HOTH SNOWDRIFT",
3
],
[
"MILLENNIUM FALCON HOLD",
3
],
[
"BOTTOM OF CLOUD CITY WEATHER VANE",
3
],
[
"MILLENNIUM FALCON SLEEPING QUARTERS",
3
],
[
"SPACE",
3
],
[
"ZEV'S SNOWSPEEDER, ROGUE TWO COCKPIT",
3
],
[
"CLOUD CITY CARBONFREEZING CHAMBER",
4
],
[
"CLOUD CITY LANDING PLATFORM",
4
],
[
"IMPERIAL SNOW WALKER COCKPIT",
4
],
[
"REBEL BASE COMMAND CENTER",
4
],
[
"HOTH REBEL BASE COMMAND CENTER",
4
],
[
"LUKE'S XWING COCKPIT",
5
],
[
"HOTH ICE PLAIN SNOW TRENCH",
5
],
[
"HOTH ICE PLAIN BATTLEFIELD",
6
],
[
"WEDGE'S SNOWSPEEDER, ROGUE THREE COCKPIT",
7
],
[
"CLOUD CITY CORRIDOR",
8
],
[
"VADER'S STAR DESTROYER BRIDGE",
8
],
[
"HOTH BATTLEFIELD",
11
],
[
"LUKE'S SNOWSPEEDER, ROGUE LEADER COCKPIT",
12
],
[
"MILLENNIUM FALCON COCKPIT",
25
]
],
"hovertemplate": "<b> Scene Counts <b>=%{marker.color}<br>Scene Locations=%{customdata[0]}<extra></extra>",
"legendgroup": "",
"marker": {
"color": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
4,
4,
4,
4,
4,
5,
5,
6,
7,
8,
8,
11,
12,
25
],
"coloraxis": "coloraxis"
},
"name": "",
"offsetgroup": "",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
4,
4,
4,
4,
4,
5,
5,
6,
7,
8,
8,
11,
12,
25
],
"xaxis": "x",
"y": [
"WEDGE'S SNOWSPEEDER, ROGUE THREE",
"GIANT ASTEROID CRATER",
"SPACE DAGOBAH LUKE'S XWING",
"DAGOBAH BOG CLEARING",
"MILLENNIUM FALCON MAIN HOLD AREA",
"SPACE ASTEROID FIELD",
"ASTEROID FIELD VADER'S STAR DESTROYER",
"MILLENNIUM FALCON GIANT ASTEROID CRATER",
"DAGOBAH CREATURE'S HOUSE",
"SPACE STAR DESTROYERS ASTEROID FIELD",
"ASTEROID CAVE MILLENNIUM FALCON HOLD AREA",
"ASTEROID CAVE MILLENNIUM FALCON ENTRY AREA",
"SPACE SLUG MOUTH",
"CAVE ENTRANCE GIANT ASTEROID",
"MILLENNIUM FALCON GIANT ASTEROID",
"CREATURE'S HOUSE",
"DAGOBAH TREE CAVE",
"MILLENNIUM FALCON ASTEROID BELT",
"SPACE STAR DESTROYER ASTEROID BELT",
"BATTLEFIELD SNOW TRENCH",
"HOTH SNOW TRENCH",
"HOTH BATTLEFIELD ICE PLAIN",
"HOTH REBEL BASE ICE CORRIDORS",
"REBEL BASE MAIN HANGER MILLENNIUM FALCON",
"MAIN HANGAR MILLENNIUM FALCON MAIN HOLD",
"MILLENNIUM FALCON TIE FIGHTERS ASTEROID BELT",
"MAIN HANGAR MILLENNIUM FALCON",
"SPACE MILLENNIUM FALCON",
"SPACE MILLENNIUM FALCON STAR DESTROYERS",
"STAR DESTROYER BRIDGE",
"SPACE MILLENNIUM FALCON TIE FIGHTERS",
"SPACE MILLENNIUM FALCON TIE FIGHTERS STAR DESTROYER",
"ASTEROID BELT MILLENNIUM FALCON",
"HOTH ICE SLOPE",
"ZEV'S SNOWSPEEDER, ROGUE TWO",
"DAGOBAH CAVE",
"VADER'S STAR DESTROYER BRIDGE CONTROL DECK",
"CLOUD CITY CARBONFREEZING CHAMBER ANTEROOM",
"CLOUD CITY EAST LANDING PLATFORM BOBA FETT'S SHIP",
"EAST LANDING PLATFORM SIDE BAY",
"CLOUD CITY TUNNEL AND REACTOR CONTROL ROOM",
"CLOUD CITY CORRIDOR LEADING TO LANDING PLATFORM",
"LANDING PLATFORM CLOUD CITY",
"CLOUD CITY HALLWAY LEADING TO ANTEROOM",
"MILLENNIUM FALCON CORRIDOR",
"EXHAUST PIPE",
"CLOUD CITY MILLENNIUM FALCON",
"MILLENNIUM FALCON BOTTOM OF CLOUD CITY",
"MILLENNIUM FALCON HATCH",
"SPACE CLOUD CITY",
"SPACE REBEL CRUISER",
"REACTOR SHAFT",
"SPACE VADER'S STAR DESTROYER",
"SPACE BESPIN SYSTEM LUKE'S XWING",
"CLOUD CITY PRISON ENTRY AREA",
"IMPERIAL STAR DESTROYER, AVENGER ASTEROID BELT",
"MILLENNIUM FALCON STAR DESTROYER, AVENGER ASTEROID FIELD",
"SPACE MILLENNIUM FALCON ASTEROID FIELD",
"STAR DESTROYER, AVENGER BRIDGE",
"DAGOBAH BOG CLEARING",
"BESPIN SYSTEM MILLENNIUM FALCON",
"CLOUD CITY HOLDING CHAMBER",
"BESPIN SURFACE MILLENNIUM FALCON",
"CLOUD CITY LANDING PLATFORM MILLENNIUM FALCON",
"LANDING PLATFORM DOOR OF MILLENNIUM FALCON.",
"SPACE PLANET DAGOBAH",
"CLOUD CITY JUNK ROOM",
"CLOUD CITY DINING ROOM",
"LUKE'S XWING BESPIN SYSTEM",
"CLOUD CITY MILLENNIUM FALCON CLOUD CARS",
"SPACE REBEL STAR CRUISER",
"GALAXY SPACE",
"HOTH ICE PLAIN SNOWTRENCH",
"GALAXY PLANET HOTH",
"HOTH METEORITE CRATER SNOW PLAIN",
"PLAIN OF HOTH",
"HOTH REBEL BASE ENTRANCE",
"HOTH REBEL BASE ANOTHER ICE CORRIDOR",
"HOTH REBEL BASE MAIN ICE TUNNEL",
"HOTH ICE GORGE",
"HOTH OUTSIDE ICE HANGAR",
"REBEL BASE MAIN HANGAR DECK ENTRANCE",
"SNOWSPEEDER COCKPIT",
"SNOWSPEEDER COCKPIT",
"HOTH ENTRANCE TO ICE GORGE",
"DARTH VADER'S STAR DESTROYER BRIDGE MAIN CONTROL DECK",
"REBEL BASE MEDICAL CENTER RECOVERY ROOM",
"HOTH ICE PLAIN",
"SPACE HOTH REBEL TRANSPORT",
"REBEL BASE ICE CAVE ION CANNON",
"IMPERIAL STAR DESTROYER BRIDGE",
"REBEL BASE CORRIDOR",
"HOTH ICE PLAIN POWER GENERATORS",
"VADER'S STAR DESTROYER VADER'S CHAMBER MEDITATION CUBICLE",
"REBEL BASE CONTROL ROOM.",
"HOTH REBEL BASE TRANSPORT BAY",
"ICE PLAIN",
"HOTH ICE PLAIN SNOW TRENCH AREA",
"VADER'S STAR DESTROYER VADER'S CHAMBER",
"HOTH SNOW PLAIN",
"HOTH SNOW DRIFT",
"REBEL BASE MEDICAL CENTER",
"SPACE IMPERIAL STAR DESTROYER",
"REBEL BASE MAIN HANGAR",
"HOTH REBEL BASE MAIN HANGAR",
"MAIN HANGAR MILLENNIUM FALCON COCKPIT",
"SPACE LUKE'S XWING",
"DAGOBAH",
"ASTEROID CAVE MILLENNIUM FALCON",
"DAGOBAH BOG",
"LANDING PLATFORM DOOR OF MILLENNIUM FALCON",
"CLOUD CITY ANTEROOM",
"CLOUD CITY LIVING QUARTERS",
"CLOUD CITY LARGE CELL",
"GANTRY OUTSIDE CONTROL ROOM REACTOR SHAFT",
"MILLENNIUM FALCON",
"BOTTOM OF CLOUD CITY",
"STAR CRUISER MEDICAL CENTER",
"ASTEROID CAVE MILLENNIUM FALCON COCKPIT",
"HOTH REBEL BASE MAIN HANGAR DECK",
"HOTH REBEL BASE ICE CORRIDOR",
"SPACE IMPERIAL FLEET",
"REBEL BASE MAIN HANGAR DECK",
"HOTH SNOWDRIFT",
"MILLENNIUM FALCON HOLD",
"BOTTOM OF CLOUD CITY WEATHER VANE",
"MILLENNIUM FALCON SLEEPING QUARTERS",
"SPACE",
"ZEV'S SNOWSPEEDER, ROGUE TWO COCKPIT",
"CLOUD CITY CARBONFREEZING CHAMBER",
"CLOUD CITY LANDING PLATFORM",
"IMPERIAL SNOW WALKER COCKPIT",
"REBEL BASE COMMAND CENTER",
"HOTH REBEL BASE COMMAND CENTER",
"LUKE'S XWING COCKPIT",
"HOTH ICE PLAIN SNOW TRENCH",
"HOTH ICE PLAIN BATTLEFIELD",
"WEDGE'S SNOWSPEEDER, ROGUE THREE COCKPIT",
"CLOUD CITY CORRIDOR",
"VADER'S STAR DESTROYER BRIDGE",
"HOTH BATTLEFIELD",
"LUKE'S SNOWSPEEDER, ROGUE LEADER COCKPIT",
"MILLENNIUM FALCON COCKPIT"
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"coloraxis": {
"colorbar": {
"title": {
"text": "<b> Scene Counts <b>"
}
},
"colorscale": [
[
0,
"#ff0000"
],
[
0.1111111111111111,
"#ffa700"
],
[
0.2222222222222222,
"#afff00"
],
[
0.3333333333333333,
"#08ff00"
],
[
0.4444444444444444,
"#00ff9f"
],
[
0.5555555555555556,
"#00b7ff"
],
[
0.6666666666666666,
"#0010ff"
],
[
0.7777777777777778,
"#9700ff"
],
[
0.8888888888888888,
"#ff00bf"
],
[
1,
"#ff0000"
]
]
},
"height": 2000,
"legend": {
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "<b> Scene Locations in the Star-Wars-The-Empire-Strikes-Back Movie & Number of times they appeared <b>"
},
"width": 1000,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "<b> Scene appearance <b>"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "<b> Locations <b>"
}
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"0f8f77c4-40eb-43a0-9ff4-59d1163a2361\" class=\"plotly-graph-div\" style=\"height:2000px; width:1000px;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"0f8f77c4-40eb-43a0-9ff4-59d1163a2361\")) {\n",
" Plotly.newPlot(\n",
" '0f8f77c4-40eb-43a0-9ff4-59d1163a2361',\n",
" [{\"alignmentgroup\": \"True\", \"customdata\": [[\"WEDGE'S SNOWSPEEDER, ROGUE THREE\", 1], [\"GIANT ASTEROID CRATER\", 1], [\"SPACE DAGOBAH LUKE'S XWING\", 1], [\"DAGOBAH BOG CLEARING\", 1], [\"MILLENNIUM FALCON MAIN HOLD AREA\", 1], [\"SPACE ASTEROID FIELD\", 1], [\"ASTEROID FIELD VADER'S STAR DESTROYER\", 1], [\"MILLENNIUM FALCON GIANT ASTEROID CRATER\", 1], [\"DAGOBAH CREATURE'S HOUSE\", 1], [\"SPACE STAR DESTROYERS ASTEROID FIELD\", 1], [\"ASTEROID CAVE MILLENNIUM FALCON HOLD AREA\", 1], [\"ASTEROID CAVE MILLENNIUM FALCON ENTRY AREA\", 1], [\"SPACE SLUG MOUTH\", 1], [\"CAVE ENTRANCE GIANT ASTEROID\", 1], [\"MILLENNIUM FALCON GIANT ASTEROID\", 1], [\"CREATURE'S HOUSE\", 1], [\"DAGOBAH TREE CAVE\", 1], [\"MILLENNIUM FALCON ASTEROID BELT\", 1], [\"SPACE STAR DESTROYER ASTEROID BELT\", 1], [\"BATTLEFIELD SNOW TRENCH\", 1], [\"HOTH SNOW TRENCH\", 1], [\"HOTH BATTLEFIELD ICE PLAIN\", 1], [\"HOTH REBEL BASE ICE CORRIDORS\", 1], [\"REBEL BASE MAIN HANGER MILLENNIUM FALCON\", 1], [\"MAIN HANGAR MILLENNIUM FALCON MAIN HOLD\", 1], [\"MILLENNIUM FALCON TIE FIGHTERS ASTEROID BELT\", 1], [\"MAIN HANGAR MILLENNIUM FALCON\", 1], [\"SPACE MILLENNIUM FALCON\", 1], [\"SPACE MILLENNIUM FALCON STAR DESTROYERS\", 1], [\"STAR DESTROYER BRIDGE\", 1], [\"SPACE MILLENNIUM FALCON TIE FIGHTERS\", 1], [\"SPACE MILLENNIUM FALCON TIE FIGHTERS STAR DESTROYER\", 1], [\"ASTEROID BELT MILLENNIUM FALCON\", 1], [\"HOTH ICE SLOPE\", 1], [\"ZEV'S SNOWSPEEDER, ROGUE TWO\", 1], [\"DAGOBAH CAVE\", 1], [\"VADER'S STAR DESTROYER BRIDGE CONTROL DECK\", 1], [\"CLOUD CITY CARBONFREEZING CHAMBER ANTEROOM\", 1], [\"CLOUD CITY EAST LANDING PLATFORM BOBA FETT'S SHIP\", 1], [\"EAST LANDING PLATFORM SIDE BAY\", 1], [\"CLOUD CITY TUNNEL AND REACTOR CONTROL ROOM\", 1], [\"CLOUD CITY CORRIDOR LEADING TO LANDING PLATFORM\", 1], [\"LANDING PLATFORM CLOUD CITY\", 1], [\"CLOUD CITY HALLWAY LEADING TO ANTEROOM\", 1], [\"MILLENNIUM FALCON CORRIDOR\", 1], [\"EXHAUST PIPE\", 1], [\"CLOUD CITY MILLENNIUM FALCON\", 1], [\"MILLENNIUM FALCON BOTTOM OF CLOUD CITY\", 1], [\"MILLENNIUM FALCON HATCH\", 1], [\"SPACE CLOUD CITY\", 1], [\"SPACE REBEL CRUISER\", 1], [\"REACTOR SHAFT\", 1], [\"SPACE VADER'S STAR DESTROYER\", 1], [\"SPACE BESPIN SYSTEM LUKE'S XWING\", 1], [\"CLOUD CITY PRISON ENTRY AREA\", 1], [\"IMPERIAL STAR DESTROYER, AVENGER ASTEROID BELT\", 1], [\"MILLENNIUM FALCON STAR DESTROYER, AVENGER ASTEROID FIELD\", 1], [\"SPACE MILLENNIUM FALCON ASTEROID FIELD\", 1], [\"STAR DESTROYER, AVENGER BRIDGE\", 1], [\"DAGOBAH BOG CLEARING\", 1], [\"BESPIN SYSTEM MILLENNIUM FALCON\", 1], [\"CLOUD CITY HOLDING CHAMBER\", 1], [\"BESPIN SURFACE MILLENNIUM FALCON\", 1], [\"CLOUD CITY LANDING PLATFORM MILLENNIUM FALCON\", 1], [\"LANDING PLATFORM DOOR OF MILLENNIUM FALCON.\", 1], [\"SPACE PLANET DAGOBAH\", 1], [\"CLOUD CITY JUNK ROOM\", 1], [\"CLOUD CITY DINING ROOM\", 1], [\"LUKE'S XWING BESPIN SYSTEM\", 1], [\"CLOUD CITY MILLENNIUM FALCON CLOUD CARS\", 1], [\"SPACE REBEL STAR CRUISER\", 1], [\"GALAXY SPACE\", 1], [\"HOTH ICE PLAIN SNOWTRENCH\", 1], [\"GALAXY PLANET HOTH\", 1], [\"HOTH METEORITE CRATER SNOW PLAIN\", 1], [\"PLAIN OF HOTH\", 1], [\"HOTH REBEL BASE ENTRANCE\", 1], [\"HOTH REBEL BASE ANOTHER ICE CORRIDOR\", 1], [\"HOTH REBEL BASE MAIN ICE TUNNEL\", 1], [\"HOTH ICE GORGE\", 1], [\"HOTH OUTSIDE ICE HANGAR\", 1], [\"REBEL BASE MAIN HANGAR DECK ENTRANCE\", 1], [\"SNOWSPEEDER COCKPIT\", 1], [\"SNOWSPEEDER COCKPIT\", 1], [\"HOTH ENTRANCE TO ICE GORGE\", 1], [\"DARTH VADER'S STAR DESTROYER BRIDGE MAIN CONTROL DECK\", 1], [\"REBEL BASE MEDICAL CENTER RECOVERY ROOM\", 1], [\"HOTH ICE PLAIN\", 1], [\"SPACE HOTH REBEL TRANSPORT\", 1], [\"REBEL BASE ICE CAVE ION CANNON\", 1], [\"IMPERIAL STAR DESTROYER BRIDGE\", 1], [\"REBEL BASE CORRIDOR\", 1], [\"HOTH ICE PLAIN POWER GENERATORS\", 1], [\"VADER'S STAR DESTROYER VADER'S CHAMBER MEDITATION CUBICLE\", 1], [\"REBEL BASE CONTROL ROOM.\", 1], [\"HOTH REBEL BASE TRANSPORT BAY\", 1], [\"ICE PLAIN\", 1], [\"HOTH ICE PLAIN SNOW TRENCH AREA\", 1], [\"VADER'S STAR DESTROYER VADER'S CHAMBER\", 2], [\"HOTH SNOW PLAIN\", 2], [\"HOTH SNOW DRIFT\", 2], [\"REBEL BASE MEDICAL CENTER\", 2], [\"SPACE IMPERIAL STAR DESTROYER\", 2], [\"REBEL BASE MAIN HANGAR\", 2], [\"HOTH REBEL BASE MAIN HANGAR\", 2], [\"MAIN HANGAR MILLENNIUM FALCON COCKPIT\", 2], [\"SPACE LUKE'S XWING\", 2], [\"DAGOBAH\", 2], [\"ASTEROID CAVE MILLENNIUM FALCON\", 2], [\"DAGOBAH BOG\", 2], [\"LANDING PLATFORM DOOR OF MILLENNIUM FALCON\", 2], [\"CLOUD CITY ANTEROOM\", 2], [\"CLOUD CITY LIVING QUARTERS\", 2], [\"CLOUD CITY LARGE CELL\", 2], [\"GANTRY OUTSIDE CONTROL ROOM REACTOR SHAFT\", 2], [\"MILLENNIUM FALCON\", 2], [\"BOTTOM OF CLOUD CITY\", 2], [\"STAR CRUISER MEDICAL CENTER\", 2], [\"ASTEROID CAVE MILLENNIUM FALCON COCKPIT\", 2], [\"HOTH REBEL BASE MAIN HANGAR DECK\", 3], [\"HOTH REBEL BASE ICE CORRIDOR\", 3], [\"SPACE IMPERIAL FLEET\", 3], [\"REBEL BASE MAIN HANGAR DECK\", 3], [\"HOTH SNOWDRIFT\", 3], [\"MILLENNIUM FALCON HOLD\", 3], [\"BOTTOM OF CLOUD CITY WEATHER VANE\", 3], [\"MILLENNIUM FALCON SLEEPING QUARTERS\", 3], [\"SPACE\", 3], [\"ZEV'S SNOWSPEEDER, ROGUE TWO COCKPIT\", 3], [\"CLOUD CITY CARBONFREEZING CHAMBER\", 4], [\"CLOUD CITY LANDING PLATFORM\", 4], [\"IMPERIAL SNOW WALKER COCKPIT\", 4], [\"REBEL BASE COMMAND CENTER\", 4], [\"HOTH REBEL BASE COMMAND CENTER\", 4], [\"LUKE'S XWING COCKPIT\", 5], [\"HOTH ICE PLAIN SNOW TRENCH\", 5], [\"HOTH ICE PLAIN BATTLEFIELD\", 6], [\"WEDGE'S SNOWSPEEDER, ROGUE THREE COCKPIT\", 7], [\"CLOUD CITY CORRIDOR\", 8], [\"VADER'S STAR DESTROYER BRIDGE\", 8], [\"HOTH BATTLEFIELD\", 11], [\"LUKE'S SNOWSPEEDER, ROGUE LEADER COCKPIT\", 12], [\"MILLENNIUM FALCON COCKPIT\", 25]], \"hovertemplate\": \"<b> Scene Counts <b>=%{marker.color}<br>Scene Locations=%{customdata[0]}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 6, 7, 8, 8, 11, 12, 25], \"coloraxis\": \"coloraxis\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"h\", \"showlegend\": false, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 6, 7, 8, 8, 11, 12, 25], \"xaxis\": \"x\", \"y\": [\"WEDGE'S SNOWSPEEDER, ROGUE THREE\", \"GIANT ASTEROID CRATER\", \"SPACE DAGOBAH LUKE'S XWING\", \"DAGOBAH BOG CLEARING\", \"MILLENNIUM FALCON MAIN HOLD AREA\", \"SPACE ASTEROID FIELD\", \"ASTEROID FIELD VADER'S STAR DESTROYER\", \"MILLENNIUM FALCON GIANT ASTEROID CRATER\", \"DAGOBAH CREATURE'S HOUSE\", \"SPACE STAR DESTROYERS ASTEROID FIELD\", \"ASTEROID CAVE MILLENNIUM FALCON HOLD AREA\", \"ASTEROID CAVE MILLENNIUM FALCON ENTRY AREA\", \"SPACE SLUG MOUTH\", \"CAVE ENTRANCE GIANT ASTEROID\", \"MILLENNIUM FALCON GIANT ASTEROID\", \"CREATURE'S HOUSE\", \"DAGOBAH TREE CAVE\", \"MILLENNIUM FALCON ASTEROID BELT\", \"SPACE STAR DESTROYER ASTEROID BELT\", \"BATTLEFIELD SNOW TRENCH\", \"HOTH SNOW TRENCH\", \"HOTH BATTLEFIELD ICE PLAIN\", \"HOTH REBEL BASE ICE CORRIDORS\", \"REBEL BASE MAIN HANGER MILLENNIUM FALCON\", \"MAIN HANGAR MILLENNIUM FALCON MAIN HOLD\", \"MILLENNIUM FALCON TIE FIGHTERS ASTEROID BELT\", \"MAIN HANGAR MILLENNIUM FALCON\", \"SPACE MILLENNIUM FALCON\", \"SPACE MILLENNIUM FALCON STAR DESTROYERS\", \"STAR DESTROYER BRIDGE\", \"SPACE MILLENNIUM FALCON TIE FIGHTERS\", \"SPACE MILLENNIUM FALCON TIE FIGHTERS STAR DESTROYER\", \"ASTEROID BELT MILLENNIUM FALCON\", \"HOTH ICE SLOPE\", \"ZEV'S SNOWSPEEDER, ROGUE TWO\", \"DAGOBAH CAVE\", \"VADER'S STAR DESTROYER BRIDGE CONTROL DECK\", \"CLOUD CITY CARBONFREEZING CHAMBER ANTEROOM\", \"CLOUD CITY EAST LANDING PLATFORM BOBA FETT'S SHIP\", \"EAST LANDING PLATFORM SIDE BAY\", \"CLOUD CITY TUNNEL AND REACTOR CONTROL ROOM\", \"CLOUD CITY CORRIDOR LEADING TO LANDING PLATFORM\", \"LANDING PLATFORM CLOUD CITY\", \"CLOUD CITY HALLWAY LEADING TO ANTEROOM\", \"MILLENNIUM FALCON CORRIDOR\", \"EXHAUST PIPE\", \"CLOUD CITY MILLENNIUM FALCON\", \"MILLENNIUM FALCON BOTTOM OF CLOUD CITY\", \"MILLENNIUM FALCON HATCH\", \"SPACE CLOUD CITY\", \"SPACE REBEL CRUISER\", \"REACTOR SHAFT\", \"SPACE VADER'S STAR DESTROYER\", \"SPACE BESPIN SYSTEM LUKE'S XWING\", \"CLOUD CITY PRISON ENTRY AREA\", \"IMPERIAL STAR DESTROYER, AVENGER ASTEROID BELT\", \"MILLENNIUM FALCON STAR DESTROYER, AVENGER ASTEROID FIELD\", \"SPACE MILLENNIUM FALCON ASTEROID FIELD\", \"STAR DESTROYER, AVENGER BRIDGE\", \"DAGOBAH BOG CLEARING\", \"BESPIN SYSTEM MILLENNIUM FALCON\", \"CLOUD CITY HOLDING CHAMBER\", \"BESPIN SURFACE MILLENNIUM FALCON\", \"CLOUD CITY LANDING PLATFORM MILLENNIUM FALCON\", \"LANDING PLATFORM DOOR OF MILLENNIUM FALCON.\", \"SPACE PLANET DAGOBAH\", \"CLOUD CITY JUNK ROOM\", \"CLOUD CITY DINING ROOM\", \"LUKE'S XWING BESPIN SYSTEM\", \"CLOUD CITY MILLENNIUM FALCON CLOUD CARS\", \"SPACE REBEL STAR CRUISER\", \"GALAXY SPACE\", \"HOTH ICE PLAIN SNOWTRENCH\", \"GALAXY PLANET HOTH\", \"HOTH METEORITE CRATER SNOW PLAIN\", \"PLAIN OF HOTH\", \"HOTH REBEL BASE ENTRANCE\", \"HOTH REBEL BASE ANOTHER ICE CORRIDOR\", \"HOTH REBEL BASE MAIN ICE TUNNEL\", \"HOTH ICE GORGE\", \"HOTH OUTSIDE ICE HANGAR\", \"REBEL BASE MAIN HANGAR DECK ENTRANCE\", \"SNOWSPEEDER COCKPIT\", \"SNOWSPEEDER COCKPIT\", \"HOTH ENTRANCE TO ICE GORGE\", \"DARTH VADER'S STAR DESTROYER BRIDGE MAIN CONTROL DECK\", \"REBEL BASE MEDICAL CENTER RECOVERY ROOM\", \"HOTH ICE PLAIN\", \"SPACE HOTH REBEL TRANSPORT\", \"REBEL BASE ICE CAVE ION CANNON\", \"IMPERIAL STAR DESTROYER BRIDGE\", \"REBEL BASE CORRIDOR\", \"HOTH ICE PLAIN POWER GENERATORS\", \"VADER'S STAR DESTROYER VADER'S CHAMBER MEDITATION CUBICLE\", \"REBEL BASE CONTROL ROOM.\", \"HOTH REBEL BASE TRANSPORT BAY\", \"ICE PLAIN\", \"HOTH ICE PLAIN SNOW TRENCH AREA\", \"VADER'S STAR DESTROYER VADER'S CHAMBER\", \"HOTH SNOW PLAIN\", \"HOTH SNOW DRIFT\", \"REBEL BASE MEDICAL CENTER\", \"SPACE IMPERIAL STAR DESTROYER\", \"REBEL BASE MAIN HANGAR\", \"HOTH REBEL BASE MAIN HANGAR\", \"MAIN HANGAR MILLENNIUM FALCON COCKPIT\", \"SPACE LUKE'S XWING\", \"DAGOBAH\", \"ASTEROID CAVE MILLENNIUM FALCON\", \"DAGOBAH BOG\", \"LANDING PLATFORM DOOR OF MILLENNIUM FALCON\", \"CLOUD CITY ANTEROOM\", \"CLOUD CITY LIVING QUARTERS\", \"CLOUD CITY LARGE CELL\", \"GANTRY OUTSIDE CONTROL ROOM REACTOR SHAFT\", \"MILLENNIUM FALCON\", \"BOTTOM OF CLOUD CITY\", \"STAR CRUISER MEDICAL CENTER\", \"ASTEROID CAVE MILLENNIUM FALCON COCKPIT\", \"HOTH REBEL BASE MAIN HANGAR DECK\", \"HOTH REBEL BASE ICE CORRIDOR\", \"SPACE IMPERIAL FLEET\", \"REBEL BASE MAIN HANGAR DECK\", \"HOTH SNOWDRIFT\", \"MILLENNIUM FALCON HOLD\", \"BOTTOM OF CLOUD CITY WEATHER VANE\", \"MILLENNIUM FALCON SLEEPING QUARTERS\", \"SPACE\", \"ZEV'S SNOWSPEEDER, ROGUE TWO COCKPIT\", \"CLOUD CITY CARBONFREEZING CHAMBER\", \"CLOUD CITY LANDING PLATFORM\", \"IMPERIAL SNOW WALKER COCKPIT\", \"REBEL BASE COMMAND CENTER\", \"HOTH REBEL BASE COMMAND CENTER\", \"LUKE'S XWING COCKPIT\", \"HOTH ICE PLAIN SNOW TRENCH\", \"HOTH ICE PLAIN BATTLEFIELD\", \"WEDGE'S SNOWSPEEDER, ROGUE THREE COCKPIT\", \"CLOUD CITY CORRIDOR\", \"VADER'S STAR DESTROYER BRIDGE\", \"HOTH BATTLEFIELD\", \"LUKE'S SNOWSPEEDER, ROGUE LEADER COCKPIT\", \"MILLENNIUM FALCON COCKPIT\"], \"yaxis\": \"y\"}],\n",
" {\"barmode\": \"relative\", \"coloraxis\": {\"colorbar\": {\"title\": {\"text\": \"<b> Scene Counts <b>\"}}, \"colorscale\": [[0.0, \"#ff0000\"], [0.1111111111111111, \"#ffa700\"], [0.2222222222222222, \"#afff00\"], [0.3333333333333333, \"#08ff00\"], [0.4444444444444444, \"#00ff9f\"], [0.5555555555555556, \"#00b7ff\"], [0.6666666666666666, \"#0010ff\"], [0.7777777777777778, \"#9700ff\"], [0.8888888888888888, \"#ff00bf\"], [1.0, \"#ff0000\"]]}, \"height\": 2000, \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"<b> Scene Locations in the Star-Wars-The-Empire-Strikes-Back Movie & Number of times they appeared <b>\"}, \"width\": 1000, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Scene appearance <b>\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"<b> Locations <b>\"}}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('0f8f77c4-40eb-43a0-9ff4-59d1163a2361');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"info.extract_scene_locations()"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"customdata": [
[
"INT",
159
],
[
"EXT",
118
]
],
"domain": {
"x": [
0,
1
],
"y": [
0,
1
]
},
"hovertemplate": "Scene Categories=%{label}<br>size=%{value}<extra></extra>",
"labels": [
"INT",
"EXT"
],
"legendgroup": "",
"name": "",
"showlegend": true,
"textinfo": "percent+label",
"textposition": "inside",
"type": "pie",
"values": [
159,
118
]
}
],
"layout": {
"legend": {
"tracegroupgap": 0
},
"piecolorway": [
"#0d0887",
"#46039f",
"#7201a8",
"#9c179e",
"#bd3786",
"#d8576b",
"#ed7953",
"#fb9f3a",
"#fdca26",
"#f0f921"
],
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Percent of Indoor (INT) and Outdoor (EXT) Scene locations in Star-Wars-The-Empire-Strikes-Back Movie"
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"dbf336ec-ab1a-44ec-89ee-04b0d9ae21a9\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"dbf336ec-ab1a-44ec-89ee-04b0d9ae21a9\")) {\n",
" Plotly.newPlot(\n",
" 'dbf336ec-ab1a-44ec-89ee-04b0d9ae21a9',\n",
" [{\"customdata\": [[\"INT\", 159], [\"EXT\", 118]], \"domain\": {\"x\": [0.0, 1.0], \"y\": [0.0, 1.0]}, \"hovertemplate\": \"Scene Categories=%{label}<br>size=%{value}<extra></extra>\", \"labels\": [\"INT\", \"EXT\"], \"legendgroup\": \"\", \"name\": \"\", \"showlegend\": true, \"textinfo\": \"percent+label\", \"textposition\": \"inside\", \"type\": \"pie\", \"values\": [159, 118]}],\n",
" {\"legend\": {\"tracegroupgap\": 0}, \"piecolorway\": [\"#0d0887\", \"#46039f\", \"#7201a8\", \"#9c179e\", \"#bd3786\", \"#d8576b\", \"#ed7953\", \"#fb9f3a\", \"#fdca26\", \"#f0f921\"], \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Percent of Indoor (INT) and Outdoor (EXT) Scene locations in Star-Wars-The-Empire-Strikes-Back Movie\"}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('dbf336ec-ab1a-44ec-89ee-04b0d9ae21a9');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"customdata": [
[
"Not Indicated",
259
],
[
"DAY",
16
],
[
"NIGHT",
2
]
],
"domain": {
"x": [
0,
1
],
"y": [
0,
1
]
},
"hovertemplate": "Scene Categories=%{label}<br>size=%{value}<extra></extra>",
"labels": [
"Not Indicated",
"DAY",
"NIGHT"
],
"legendgroup": "",
"name": "",
"showlegend": true,
"textinfo": "percent+label",
"textposition": "inside",
"type": "pie",
"values": [
259,
16,
2
]
}
],
"layout": {
"legend": {
"tracegroupgap": 0
},
"piecolorway": [
"rgb(36, 86, 104)",
"rgb(15, 114, 121)",
"rgb(13, 143, 129)",
"rgb(57, 171, 126)",
"rgb(110, 197, 116)",
"rgb(169, 220, 103)",
"rgb(237, 239, 93)"
],
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Scenes by Time of Day Occurences in Star-Wars-The-Empire-Strikes-Back Movie"
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"76470de2-d0cf-4933-b24f-ada0d8681d5a\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"76470de2-d0cf-4933-b24f-ada0d8681d5a\")) {\n",
" Plotly.newPlot(\n",
" '76470de2-d0cf-4933-b24f-ada0d8681d5a',\n",
" [{\"customdata\": [[\"Not Indicated\", 259], [\"DAY\", 16], [\"NIGHT\", 2]], \"domain\": {\"x\": [0.0, 1.0], \"y\": [0.0, 1.0]}, \"hovertemplate\": \"Scene Categories=%{label}<br>size=%{value}<extra></extra>\", \"labels\": [\"Not Indicated\", \"DAY\", \"NIGHT\"], \"legendgroup\": \"\", \"name\": \"\", \"showlegend\": true, \"textinfo\": \"percent+label\", \"textposition\": \"inside\", \"type\": \"pie\", \"values\": [259, 16, 2]}],\n",
" {\"legend\": {\"tracegroupgap\": 0}, \"piecolorway\": [\"rgb(36, 86, 104)\", \"rgb(15, 114, 121)\", \"rgb(13, 143, 129)\", \"rgb(57, 171, 126)\", \"rgb(110, 197, 116)\", \"rgb(169, 220, 103)\", \"rgb(237, 239, 93)\"], \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Scenes by Time of Day Occurences in Star-Wars-The-Empire-Strikes-Back Movie\"}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('76470de2-d0cf-4933-b24f-ada0d8681d5a');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"customdata": [
[
"Scenes with Dialog",
155
],
[
"Scene without Dialog",
122
]
],
"domain": {
"x": [
0,
1
],
"y": [
0,
1
]
},
"hovertemplate": "Dialogues=%{label}<br>size=%{value}<extra></extra>",
"labels": [
"Scenes with Dialog",
"Scene without Dialog"
],
"legendgroup": "",
"name": "",
"showlegend": true,
"textinfo": "percent+label",
"textposition": "inside",
"type": "pie",
"values": [
155,
122
]
}
],
"layout": {
"legend": {
"tracegroupgap": 0
},
"piecolorway": [
"rgb(0,0,0)",
"rgb(230,0,0)",
"rgb(255,210,0)",
"rgb(255,255,255)"
],
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Percent of scenes with or without Dialogues in Star-Wars-The-Empire-Strikes-Back Movie"
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"6b5a2b3d-b494-4c36-9519-cd6d7e9cb9cd\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"6b5a2b3d-b494-4c36-9519-cd6d7e9cb9cd\")) {\n",
" Plotly.newPlot(\n",
" '6b5a2b3d-b494-4c36-9519-cd6d7e9cb9cd',\n",
" [{\"customdata\": [[\"Scenes with Dialog\", 155], [\"Scene without Dialog\", 122]], \"domain\": {\"x\": [0.0, 1.0], \"y\": [0.0, 1.0]}, \"hovertemplate\": \"Dialogues=%{label}<br>size=%{value}<extra></extra>\", \"labels\": [\"Scenes with Dialog\", \"Scene without Dialog\"], \"legendgroup\": \"\", \"name\": \"\", \"showlegend\": true, \"textinfo\": \"percent+label\", \"textposition\": \"inside\", \"type\": \"pie\", \"values\": [155, 122]}],\n",
" {\"legend\": {\"tracegroupgap\": 0}, \"piecolorway\": [\"rgb(0,0,0)\", \"rgb(230,0,0)\", \"rgb(255,210,0)\", \"rgb(255,255,255)\"], \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Percent of scenes with or without Dialogues in Star-Wars-The-Empire-Strikes-Back Movie\"}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('6b5a2b3d-b494-4c36-9519-cd6d7e9cb9cd');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"info.pie_plots()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 5. Gender Distribution in the Movie"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {},
"outputs": [],
"source": [
"gd = gender(movie_characters, film)"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[nltk_data] Downloading package names to C:\\Users\\Adeboye\n",
"[nltk_data] Adeniyi\\AppData\\Roaming\\nltk_data...\n",
"[nltk_data] Package names is already up-to-date!\n"
]
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"customdata": [
[
"Male",
26
],
[
"Female",
7
]
],
"domain": {
"x": [
0,
1
],
"y": [
0,
1
]
},
"hovertemplate": "gender=%{label}<br>size=%{value}<extra></extra>",
"labels": [
"Male",
"Female"
],
"legendgroup": "",
"name": "",
"showlegend": true,
"textinfo": "percent+label",
"textposition": "inside",
"type": "pie",
"values": [
26,
7
]
}
],
"layout": {
"legend": {
"tracegroupgap": 0
},
"piecolorway": [
"#440154",
"#482878",
"#3e4989",
"#31688e",
"#26828e",
"#1f9e89",
"#35b779",
"#6ece58",
"#b5de2b",
"#fde725"
],
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Gender Distribution in Star-Wars-The-Empire-Strikes-Back movie"
}
}
},
"text/html": [
"<div>\n",
" \n",
" \n",
" <div id=\"e7446110-3b05-4cf6-a51c-9c29bfce4a0c\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
" <script type=\"text/javascript\">\n",
" require([\"plotly\"], function(Plotly) {\n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"e7446110-3b05-4cf6-a51c-9c29bfce4a0c\")) {\n",
" Plotly.newPlot(\n",
" 'e7446110-3b05-4cf6-a51c-9c29bfce4a0c',\n",
" [{\"customdata\": [[\"Male\", 26], [\"Female\", 7]], \"domain\": {\"x\": [0.0, 1.0], \"y\": [0.0, 1.0]}, \"hovertemplate\": \"gender=%{label}<br>size=%{value}<extra></extra>\", \"labels\": [\"Male\", \"Female\"], \"legendgroup\": \"\", \"name\": \"\", \"showlegend\": true, \"textinfo\": \"percent+label\", \"textposition\": \"inside\", \"type\": \"pie\", \"values\": [26, 7]}],\n",
" {\"legend\": {\"tracegroupgap\": 0}, \"piecolorway\": [\"#440154\", \"#482878\", \"#3e4989\", \"#31688e\", \"#26828e\", \"#1f9e89\", \"#35b779\", \"#6ece58\", \"#b5de2b\", \"#fde725\"], \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Gender Distribution in Star-Wars-The-Empire-Strikes-Back movie\"}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('e7446110-3b05-4cf6-a51c-9c29bfce4a0c');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_gender = gd.gender_types(px.colors.sequential.Viridis)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### This should give a screen writer a broad overview of the underlying insights that could be discovered from an existing screen play or movie script.\n",
"\n",
"\n",
"\n",
"### Thanks for visualizing this extensive film script analysis...\n",
"\n",
"\n",
"\n",
"### Remember all codes for this analysis are already in python modules...."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}