{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "a316edc6", "metadata": {}, "outputs": [], "source": [ "#main\n", "import pandas as pd\n", "import numpy as np\n", "import math\n", "import sklearn\n", "import re\n", "\n", "#graphic\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns \n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "id": "4f517c32", "metadata": {}, "outputs": [], "source": [ "pd.set_option('display.max_columns', None)\n", "pd.set_option('display.max_rows', None)" ] }, { "cell_type": "markdown", "id": "0743f4bb", "metadata": {}, "source": [ "# Load the data" ] }, { "cell_type": "code", "execution_count": 3, "id": "670053e4", "metadata": {}, "outputs": [], "source": [ "movie_overview_2021_2017 = pd.read_csv('./movies_2021_2017.csv', index_col='Unnamed: 0')\n", "movie_detail_2021_2017 = pd.read_csv('./movie_details_2021_2017.csv', index_col='Unnamed: 0')\n", "movie_award_2021_2017 = pd.read_csv('./awards_2021_2017.csv', index_col='Unnamed: 0')\n", "\n", "movie_overview_2016_2015 = pd.read_csv('./movies_2016_2015.csv', index_col='Unnamed: 0')\n", "movie_detail_2016_2015 = pd.read_csv('./movie_details_2016_2015.csv', index_col='Unnamed: 0')\n", "movie_award_2016_2015 = pd.read_csv('./awards_2016_2015.csv', index_col='Unnamed: 0')\n", "\n", "\n", "oscars = pd.read_csv('./oscars_1928_2021_major_categories.csv', index_col='Unnamed: 0')\n", "top_1000_movies = pd.read_csv('./imdb_top_1000.csv')\n" ] }, { "cell_type": "markdown", "id": "6ea8b2ef", "metadata": {}, "source": [ "# Concatenate the dataframes" ] }, { "cell_type": "code", "execution_count": 4, "id": "cd4b2906", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((2374, 4), (1000, 16))" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "oscars.shape, top_1000_movies.shape" ] }, { "cell_type": "code", "execution_count": 5, "id": "6024e0c3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((4452, 11), (4452, 17), (4452, 4))" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movie_overview_2021_2017.shape, movie_detail_2021_2017.shape , movie_award_2021_2017.shape" ] }, { "cell_type": "code", "execution_count": 6, "id": "d6218a0a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((1888, 11), (1888, 17), (1888, 4))" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movie_overview_2016_2015.shape, movie_detail_2016_2015.shape , movie_award_2016_2015.shape" ] }, { "cell_type": "code", "execution_count": 7, "id": "43da630d", "metadata": {}, "outputs": [], "source": [ "movie_overview = pd.concat([movie_overview_2021_2017,movie_overview_2016_2015],axis = 0)\n", "movie_detail = pd.concat([movie_detail_2021_2017,movie_detail_2016_2015],axis = 0) \n", "movie_award = pd.concat([movie_award_2021_2017,movie_award_2016_2015],axis = 0) \n", "\n", "\n", "movie_overview = movie_overview.reset_index(drop=True)\n", "movie_detail = movie_detail.reset_index(drop=True)\n", "movie_award = movie_award.reset_index(drop=True)\n" ] }, { "cell_type": "code", "execution_count": 8, "id": "753f08d6", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_year
6337The Haunting at Woodland Hillstt1523575https://www.imdb.com/title/tt1523575/?ref_=adv...[]84Drama, Horror, Thriller3.4201[]Jeremy Casper2016
6338Volumes of Blood: Horror Storiestt6211920https://www.imdb.com/title/tt6211920/?ref_=adv...[]118Horror3.9200[]See full summary2016
6339Game of Acestt3687118https://www.imdb.com/title/tt3687118/?ref_=adv...R97Action, Adventure, War4.2200[]Damien Lay2016
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titlemovie_idmovie_imdb_linktop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_daterelease_monthcountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usd
6337The Haunting at Woodland Hillstt1523575https://www.imdb.com/title/tt1523575/?ref_=adv...Jeremy CasperCris CunninghamDee Ann NewkirkT.J. Maxwell13window.addEventListener('load', (event) => {\\n...20162016United StatesA Stream In The Desert350001.78 : 1 / (high definition)[][]
6338Volumes of Blood: Horror Storiestt6211920https://www.imdb.com/title/tt6211920/?ref_=adv...Sean BlevinsBarbie ClarkThomas DunbarAric Stanish319October 29, 2016OctoberUnited States[][]2.39:1[][]
6339Game of Acestt3687118https://www.imdb.com/title/tt3687118/?ref_=adv...Damien LayChris KleinVictoria SummerWerner Daehn93September 9, 2016SeptemberUnited States[]5000002.35 : 1[][]
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titlemovie_idawards_linkawards_total
6337The Haunting at Woodland Hillstt1523575https://www.imdb.com/title/tt1523575/awards/?r...Showing all 1 win and 1 nomination
6338Volumes of Blood: Horror Storiestt6211920https://www.imdb.com/title/tt6211920/awards/?r...Showing all 2 wins and 0 nominations
6339Game of Acestt3687118https://www.imdb.com/title/tt3687118/awards/?r...0
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" ], "text/plain": [ " title movie_id \\\n", "6337 The Haunting at Woodland Hills tt1523575 \n", "6338 Volumes of Blood: Horror Stories tt6211920 \n", "6339 Game of Aces tt3687118 \n", "\n", " awards_link \\\n", "6337 https://www.imdb.com/title/tt1523575/awards/?r... \n", "6338 https://www.imdb.com/title/tt6211920/awards/?r... \n", "6339 https://www.imdb.com/title/tt3687118/awards/?r... \n", "\n", " awards_total \n", "6337 Showing all 1 win and 1 nomination \n", "6338 Showing all 2 wins and 0 nominations \n", "6339 0 " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movie_award.tail(3)" ] }, { "cell_type": "code", "execution_count": 11, "id": "fa5f94d8", "metadata": {}, "outputs": [], "source": [ "movie_detail.drop(['title','movie_id','movie_imdb_link' ], axis=1, inplace=True) # drop duplicate columns" ] }, { "cell_type": "code", "execution_count": 12, "id": "04c1e966", "metadata": {}, "outputs": [], "source": [ "movie_award.drop(['title','movie_id'], axis=1, inplace=True) # drop duplicate columns" ] }, { "cell_type": "code", "execution_count": 13, "id": "be545bb0", "metadata": {}, "outputs": [], "source": [ "movies_df = pd.concat([movie_overview, movie_award, movie_detail ],axis = 1)\n" ] }, { "cell_type": "code", "execution_count": 14, "id": "9d9dd465", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(6340, 27)" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df.shape" ] }, { "cell_type": "code", "execution_count": 15, "id": "fbe7fcd9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_daterelease_monthcountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usd
6335A Killer Walks Amongst Ustt5449390https://www.imdb.com/title/tt5449390/?ref_=adv...Not Rated91Crime4.7201[]Michael Feifer2016https://www.imdb.com/title/tt5449390/awards/?r...0Benjamin ShahrabaniEva LaRueAshley ScottMichael Welch2window.addEventListener('load', (event) => {\\n...August 20, 2019AugustUnited States[][][][]Knowing
6336Blood Sombrerott3603104https://www.imdb.com/title/tt3603104/?ref_=adv...[]86Action, Comedy, Fantasy3.6201[]See full summary2016https://www.imdb.com/title/tt3603104/awards/?r...0Abel BerryBilly BlairPaula Marcenaro SolingerNick Gomez4window.addEventListener('load', (event) => {\\n...April 6, 2016AprilUnited States[]400000[]1.78 : 1[]
6337The Haunting at Woodland Hillstt1523575https://www.imdb.com/title/tt1523575/?ref_=adv...[]84Drama, Horror, Thriller3.4201[]Jeremy Casper2016https://www.imdb.com/title/tt1523575/awards/?r...Showing all 1 win and 1 nominationJeremy CasperCris CunninghamDee Ann NewkirkT.J. Maxwell13window.addEventListener('load', (event) => {\\n...20162016United StatesA Stream In The Desert350001.78 : 1 / (high definition)[][]
6338Volumes of Blood: Horror Storiestt6211920https://www.imdb.com/title/tt6211920/?ref_=adv...[]118Horror3.9200[]See full summary2016https://www.imdb.com/title/tt6211920/awards/?r...Showing all 2 wins and 0 nominationsSean BlevinsBarbie ClarkThomas DunbarAric Stanish319October 29, 2016OctoberUnited States[][]2.39:1[][]
6339Game of Acestt3687118https://www.imdb.com/title/tt3687118/?ref_=adv...R97Action, Adventure, War4.2200[]Damien Lay2016https://www.imdb.com/title/tt3687118/awards/?r...0Damien LayChris KleinVictoria SummerWerner Daehn93September 9, 2016SeptemberUnited States[]5000002.35 : 1[][]
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" ], "text/plain": [ " title movie_id \\\n", "6335 A Killer Walks Amongst Us tt5449390 \n", "6336 Blood Sombrero tt3603104 \n", "6337 The Haunting at Woodland Hills tt1523575 \n", "6338 Volumes of Blood: Horror Stories tt6211920 \n", "6339 Game of Aces tt3687118 \n", "\n", " movie_imdb_link certificate \\\n", "6335 https://www.imdb.com/title/tt5449390/?ref_=adv... Not Rated \n", "6336 https://www.imdb.com/title/tt3603104/?ref_=adv... [] \n", "6337 https://www.imdb.com/title/tt1523575/?ref_=adv... [] \n", "6338 https://www.imdb.com/title/tt6211920/?ref_=adv... [] \n", "6339 https://www.imdb.com/title/tt3687118/?ref_=adv... R \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "6335 91 Crime 4.7 201 \n", "6336 86 Action, Comedy, Fantasy 3.6 201 \n", "6337 84 Drama, Horror, Thriller 3.4 201 \n", "6338 118 Horror 3.9 200 \n", "6339 97 Action, Adventure, War 4.2 200 \n", "\n", " metascore top_director release_year \\\n", "6335 [] Michael Feifer 2016 \n", "6336 [] See full summary 2016 \n", "6337 [] Jeremy Casper 2016 \n", "6338 [] See full summary 2016 \n", "6339 [] Damien Lay 2016 \n", "\n", " awards_link \\\n", "6335 https://www.imdb.com/title/tt5449390/awards/?r... \n", "6336 https://www.imdb.com/title/tt3603104/awards/?r... \n", "6337 https://www.imdb.com/title/tt1523575/awards/?r... \n", "6338 https://www.imdb.com/title/tt6211920/awards/?r... \n", "6339 https://www.imdb.com/title/tt3687118/awards/?r... \n", "\n", " awards_total top_writer \\\n", "6335 0 Benjamin Shahrabani \n", "6336 0 Abel Berry \n", "6337 Showing all 1 win and 1 nomination Jeremy Casper \n", "6338 Showing all 2 wins and 0 nominations Sean Blevins \n", "6339 0 Damien Lay \n", "\n", " top_star_1 top_star_2 top_star_3 \\\n", "6335 Eva LaRue Ashley Scott Michael Welch \n", "6336 Billy Blair Paula Marcenaro Solinger Nick Gomez \n", "6337 Cris Cunningham Dee Ann Newkirk T.J. Maxwell \n", "6338 Barbie Clark Thomas Dunbar Aric Stanish \n", "6339 Chris Klein Victoria Summer Werner Daehn \n", "\n", " num_user_reviews num_critic_reviews \\\n", "6335 2 window.addEventListener('load', (event) => {\\n... \n", "6336 4 window.addEventListener('load', (event) => {\\n... \n", "6337 13 window.addEventListener('load', (event) => {\\n... \n", "6338 3 19 \n", "6339 9 3 \n", "\n", " release_date release_month country_of_origin \\\n", "6335 August 20, 2019 August United States \n", "6336 April 6, 2016 April United States \n", "6337 2016 2016 United States \n", "6338 October 29, 2016 October United States \n", "6339 September 9, 2016 September United States \n", "\n", " top_production_company budget_in_usd opening_weekend_us_can_in_usd \\\n", "6335 [] [] [] \n", "6336 [] 400000 [] \n", "6337 A Stream In The Desert 35000 1.78 : 1 / (high definition) \n", "6338 [] [] 2.39:1 \n", "6339 [] 500000 2.35 : 1 \n", "\n", " gross_us_can_in_usd gross_worldwide_in_usd \n", "6335 [] Knowing \n", "6336 1.78 : 1 [] \n", "6337 [] [] \n", "6338 [] [] \n", "6339 [] [] " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df.tail()" ] }, { "cell_type": "code", "execution_count": 16, "id": "9aecddf4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['title', 'movie_id', 'movie_imdb_link', 'certificate',\n", " 'runtime_in_mins', 'genre', 'imdb_rating', 'number_of_votes',\n", " 'metascore', 'top_director', 'release_year', 'awards_link',\n", " 'awards_total', 'top_writer', 'top_star_1', 'top_star_2', 'top_star_3',\n", " 'num_user_reviews', 'num_critic_reviews', 'release_date',\n", " 'release_month', 'country_of_origin', 'top_production_company',\n", " 'budget_in_usd', 'opening_weekend_us_can_in_usd', 'gross_us_can_in_usd',\n", " 'gross_worldwide_in_usd'],\n", " dtype='object')" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df.columns" ] }, { "cell_type": "code", "execution_count": 17, "id": "395efd6e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 6340 entries, 0 to 6339\n", "Data columns (total 27 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 title 6340 non-null object \n", " 1 movie_id 6340 non-null object \n", " 2 movie_imdb_link 6340 non-null object \n", " 3 certificate 6340 non-null object \n", " 4 runtime_in_mins 6340 non-null object \n", " 5 genre 6340 non-null object \n", " 6 imdb_rating 6340 non-null float64\n", " 7 number_of_votes 6340 non-null int64 \n", " 8 metascore 6340 non-null object \n", " 9 top_director 6340 non-null object \n", " 10 release_year 6340 non-null int64 \n", " 11 awards_link 6340 non-null object \n", " 12 awards_total 6340 non-null object \n", " 13 top_writer 6340 non-null object \n", " 14 top_star_1 6340 non-null object \n", " 15 top_star_2 6340 non-null object \n", " 16 top_star_3 6340 non-null object \n", " 17 num_user_reviews 6340 non-null object \n", " 18 num_critic_reviews 6340 non-null object \n", " 19 release_date 6340 non-null object \n", " 20 release_month 6340 non-null object \n", " 21 country_of_origin 6340 non-null object \n", " 22 top_production_company 6340 non-null object \n", " 23 budget_in_usd 6340 non-null object \n", " 24 opening_weekend_us_can_in_usd 6340 non-null object \n", " 25 gross_us_can_in_usd 6340 non-null object \n", " 26 gross_worldwide_in_usd 6340 non-null object \n", "dtypes: float64(1), int64(2), object(24)\n", "memory usage: 1.3+ MB\n" ] } ], "source": [ "movies_df.info() # actually there are '[]' and empty strings" ] }, { "cell_type": "markdown", "id": "f581d511", "metadata": {}, "source": [ "# awards_total column" ] }, { "cell_type": "code", "execution_count": 18, "id": "60523686", "metadata": {}, "outputs": [], "source": [ "#movies_df['awards_total'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 19, "id": "e240043d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_daterelease_monthcountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usd
0Spider-Man: No Way Homett10872600https://www.imdb.com/title/tt10872600/?ref_=ad...PG-13148Action, Adventure, Fantasy8.373908671Jon Watts2021https://www.imdb.com/title/tt10872600/awards/?...Showing all 34 wins and 66 nominationsChris McKennaTom HollandZendayaBenedict Cumberbatch6.1K412December 17, 2021DecemberUnited StatesColumbia Pictures2000000002601385698141150701916278650
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" ], "text/plain": [ " title movie_id \\\n", "0 Spider-Man: No Way Home tt10872600 \n", "\n", " movie_imdb_link certificate \\\n", "0 https://www.imdb.com/title/tt10872600/?ref_=ad... PG-13 \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "0 148 Action, Adventure, Fantasy 8.3 739086 \n", "\n", " metascore top_director release_year \\\n", "0 71 Jon Watts 2021 \n", "\n", " awards_link \\\n", "0 https://www.imdb.com/title/tt10872600/awards/?... \n", "\n", " awards_total top_writer top_star_1 \\\n", "0 Showing all 34 wins and 66 nominations Chris McKenna Tom Holland \n", "\n", " top_star_2 top_star_3 num_user_reviews num_critic_reviews \\\n", "0 Zendaya Benedict Cumberbatch 6.1K 412 \n", "\n", " release_date release_month country_of_origin top_production_company \\\n", "0 December 17, 2021 December United States Columbia Pictures \n", "\n", " budget_in_usd opening_weekend_us_can_in_usd gross_us_can_in_usd \\\n", "0 200000000 260138569 814115070 \n", "\n", " gross_worldwide_in_usd \n", "0 1916278650 " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df.head(1)" ] }, { "cell_type": "code", "execution_count": 20, "id": "9f26865a", "metadata": {}, "outputs": [], "source": [ "def separete_awards(df):\n", " df['total_award_nominations'] = '' #creating empty columns\n", " df['total_award_wins'] = ''\n", "\n", " for i in df.index:\n", " if df['awards_total'][i] != '0':\n", " pattern= '\\d+'\n", " numbers = re.findall(pattern,df['awards_total'][i])\n", " df['total_award_wins'][i] = numbers[0] \n", " df['total_award_nominations'][i] = numbers[1] \n", " \n", " else:\n", " df['total_award_wins'][i] = df['awards_total'][i]\n", " df['total_award_nominations'][i] = df['awards_total'][i]\n", " \n", " return df\n", " " ] }, { "cell_type": "code", "execution_count": 21, "id": "9aaf1b94", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/3229725514.py:9: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['total_award_wins'][i] = numbers[0]\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/3229725514.py:10: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['total_award_nominations'][i] = numbers[1]\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/3229725514.py:13: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['total_award_wins'][i] = df['awards_total'][i]\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/3229725514.py:14: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['total_award_nominations'][i] = df['awards_total'][i]\n" ] } ], "source": [ "movies_df_v1 = separete_awards(movies_df)" ] }, { "cell_type": "code", "execution_count": 22, "id": "c4a1957c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_daterelease_monthcountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usdtotal_award_nominationstotal_award_wins
0Spider-Man: No Way Homett10872600https://www.imdb.com/title/tt10872600/?ref_=ad...PG-13148Action, Adventure, Fantasy8.373908671Jon Watts2021https://www.imdb.com/title/tt10872600/awards/?...Showing all 34 wins and 66 nominationsChris McKennaTom HollandZendayaBenedict Cumberbatch6.1K412December 17, 2021DecemberUnited StatesColumbia Pictures20000000026013856981411507019162786506634
1Dunett1160419https://www.imdb.com/title/tt1160419/?ref_=adv...PG-13155Action, Adventure, Drama8.062106974Denis Villeneuve2021https://www.imdb.com/title/tt1160419/awards/?r...Showing all 164 wins and 280 nominationsJon SpaihtsTimothée ChalametRebecca FergusonZendaya5.6K509October 22, 2021OctoberCanadaWarner Bros.16500000041011174108327830401847900280164
2Don't Look Uptt11286314https://www.imdb.com/title/tt11286314/?ref_=ad...R138Comedy, Drama, Sci-Fi7.252998149Adam McKay2021https://www.imdb.com/title/tt11286314/awards/?...Showing all 19 wins and 88 nominationsAdam McKayLeonardo DiCaprioJennifer LawrenceMeryl Streep4.6K309December 24, 2021DecemberUnited StatesHyperobject Industries75000000[]7918632.39 : 18819
3No Time to Diett2382320https://www.imdb.com/title/tt2382320/?ref_=adv...PG-13163Action, Adventure, Thriller7.339393068Cary Joji Fukunaga2021https://www.imdb.com/title/tt2382320/awards/?r...Showing all 35 wins and 69 nominationsNeal PurvisDaniel CraigAna de ArmasRami Malek4.1K449October 8, 2021OctoberUnited KingdomMetro-Goldwyn-Mayer (MGM)250000000552250071608910077741530076935
4Zack Snyder's Justice Leaguett12361974https://www.imdb.com/title/tt12361974/?ref_=ad...R242Action, Adventure, Fantasy8.039350454Zack Snyder2021https://www.imdb.com/title/tt12361974/awards/?...Showing all 1 win and 6 nominationsJerry SiegelHenry CavillBen AffleckGal Gadot8K308March 18, 2021MarchUnited StatesAtlas Entertainment300000000[][]1.33 : 161
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" ], "text/plain": [ " title movie_id \\\n", "0 Spider-Man: No Way Home tt10872600 \n", "1 Dune tt1160419 \n", "2 Don't Look Up tt11286314 \n", "3 No Time to Die tt2382320 \n", "4 Zack Snyder's Justice League tt12361974 \n", "\n", " movie_imdb_link certificate \\\n", "0 https://www.imdb.com/title/tt10872600/?ref_=ad... PG-13 \n", "1 https://www.imdb.com/title/tt1160419/?ref_=adv... PG-13 \n", "2 https://www.imdb.com/title/tt11286314/?ref_=ad... R \n", "3 https://www.imdb.com/title/tt2382320/?ref_=adv... PG-13 \n", "4 https://www.imdb.com/title/tt12361974/?ref_=ad... R \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "0 148 Action, Adventure, Fantasy 8.3 739086 \n", "1 155 Action, Adventure, Drama 8.0 621069 \n", "2 138 Comedy, Drama, Sci-Fi 7.2 529981 \n", "3 163 Action, Adventure, Thriller 7.3 393930 \n", "4 242 Action, Adventure, Fantasy 8.0 393504 \n", "\n", " metascore top_director release_year \\\n", "0 71 Jon Watts 2021 \n", "1 74 Denis Villeneuve 2021 \n", "2 49 Adam McKay 2021 \n", "3 68 Cary Joji Fukunaga 2021 \n", "4 54 Zack Snyder 2021 \n", "\n", " awards_link \\\n", "0 https://www.imdb.com/title/tt10872600/awards/?... \n", "1 https://www.imdb.com/title/tt1160419/awards/?r... \n", "2 https://www.imdb.com/title/tt11286314/awards/?... \n", "3 https://www.imdb.com/title/tt2382320/awards/?r... \n", "4 https://www.imdb.com/title/tt12361974/awards/?... \n", "\n", " awards_total top_writer top_star_1 \\\n", "0 Showing all 34 wins and 66 nominations Chris McKenna Tom Holland \n", "1 Showing all 164 wins and 280 nominations Jon Spaihts Timothée Chalamet \n", "2 Showing all 19 wins and 88 nominations Adam McKay Leonardo DiCaprio \n", "3 Showing all 35 wins and 69 nominations Neal Purvis Daniel Craig \n", "4 Showing all 1 win and 6 nominations Jerry Siegel Henry Cavill \n", "\n", " top_star_2 top_star_3 num_user_reviews \\\n", "0 Zendaya Benedict Cumberbatch 6.1K \n", "1 Rebecca Ferguson Zendaya 5.6K \n", "2 Jennifer Lawrence Meryl Streep 4.6K \n", "3 Ana de Armas Rami Malek 4.1K \n", "4 Ben Affleck Gal Gadot 8K \n", "\n", " num_critic_reviews release_date release_month country_of_origin \\\n", "0 412 December 17, 2021 December United States \n", "1 509 October 22, 2021 October Canada \n", "2 309 December 24, 2021 December United States \n", "3 449 October 8, 2021 October United Kingdom \n", "4 308 March 18, 2021 March United States \n", "\n", " top_production_company budget_in_usd opening_weekend_us_can_in_usd \\\n", "0 Columbia Pictures 200000000 260138569 \n", "1 Warner Bros. 165000000 41011174 \n", "2 Hyperobject Industries 75000000 [] \n", "3 Metro-Goldwyn-Mayer (MGM) 250000000 55225007 \n", "4 Atlas Entertainment 300000000 [] \n", "\n", " gross_us_can_in_usd gross_worldwide_in_usd total_award_nominations \\\n", "0 814115070 1916278650 66 \n", "1 108327830 401847900 280 \n", "2 791863 2.39 : 1 88 \n", "3 160891007 774153007 69 \n", "4 [] 1.33 : 1 6 \n", "\n", " total_award_wins \n", "0 34 \n", "1 164 \n", "2 19 \n", "3 35 \n", "4 1 " ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v1.head()" ] }, { "cell_type": "markdown", "id": "18d3b42f", "metadata": {}, "source": [ "# genre column" ] }, { "cell_type": "code", "execution_count": null, "id": "1ac6dc6f", "metadata": {}, "outputs": [], "source": [ "movies_df_v1['genre'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 24, "id": "52906dd3", "metadata": {}, "outputs": [], "source": [ "def separete_genre(df):\n", " df['primary_genre'] = '' #creating empty columns\n", " df['secondary_genre'] = ''\n", " \n", " pattern = \"[\\w']+\"\n", " \n", " for i in df.index:\n", " if df['genre'][i] != '[]':\n", " g = re.findall(pattern,df['genre'][i])\n", " \n", " if len(g)>1:\n", " df['primary_genre'][i] = g[0] \n", " df['secondary_genre'][i] = g[1]\n", " else:\n", " df['primary_genre'][i] = df['genre'][i]\n", " df['secondary_genre'][i] = 'Other'\n", " else:\n", " df['primary_genre'][i] = ''\n", " df['secondary_genre'][i] = ''\n", " \n", " return df\n", " " ] }, { "cell_type": "code", "execution_count": 25, "id": "0d1505f1", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/4184901931.py:12: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['primary_genre'][i] = g[0]\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/4184901931.py:13: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['secondary_genre'][i] = g[1]\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/4184901931.py:15: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['primary_genre'][i] = df['genre'][i]\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/4184901931.py:16: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['secondary_genre'][i] = 'Other'\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/4184901931.py:18: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['primary_genre'][i] = ''\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/4184901931.py:19: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['secondary_genre'][i] = ''\n" ] } ], "source": [ "movies_df_v2 = separete_genre(movies_df_v1)" ] }, { "cell_type": "code", "execution_count": 26, "id": "b5267b87", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_daterelease_monthcountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usdtotal_award_nominationstotal_award_winsprimary_genresecondary_genre
6335A Killer Walks Amongst Ustt5449390https://www.imdb.com/title/tt5449390/?ref_=adv...Not Rated91Crime4.7201[]Michael Feifer2016https://www.imdb.com/title/tt5449390/awards/?r...0Benjamin ShahrabaniEva LaRueAshley ScottMichael Welch2window.addEventListener('load', (event) => {\\n...August 20, 2019AugustUnited States[][][][]Knowing00CrimeOther
6336Blood Sombrerott3603104https://www.imdb.com/title/tt3603104/?ref_=adv...[]86Action, Comedy, Fantasy3.6201[]See full summary2016https://www.imdb.com/title/tt3603104/awards/?r...0Abel BerryBilly BlairPaula Marcenaro SolingerNick Gomez4window.addEventListener('load', (event) => {\\n...April 6, 2016AprilUnited States[]400000[]1.78 : 1[]00ActionComedy
6337The Haunting at Woodland Hillstt1523575https://www.imdb.com/title/tt1523575/?ref_=adv...[]84Drama, Horror, Thriller3.4201[]Jeremy Casper2016https://www.imdb.com/title/tt1523575/awards/?r...Showing all 1 win and 1 nominationJeremy CasperCris CunninghamDee Ann NewkirkT.J. Maxwell13window.addEventListener('load', (event) => {\\n...20162016United StatesA Stream In The Desert350001.78 : 1 / (high definition)[][]11DramaHorror
6338Volumes of Blood: Horror Storiestt6211920https://www.imdb.com/title/tt6211920/?ref_=adv...[]118Horror3.9200[]See full summary2016https://www.imdb.com/title/tt6211920/awards/?r...Showing all 2 wins and 0 nominationsSean BlevinsBarbie ClarkThomas DunbarAric Stanish319October 29, 2016OctoberUnited States[][]2.39:1[][]02HorrorOther
6339Game of Acestt3687118https://www.imdb.com/title/tt3687118/?ref_=adv...R97Action, Adventure, War4.2200[]Damien Lay2016https://www.imdb.com/title/tt3687118/awards/?r...0Damien LayChris KleinVictoria SummerWerner Daehn93September 9, 2016SeptemberUnited States[]5000002.35 : 1[][]00ActionAdventure
\n", "
" ], "text/plain": [ " title movie_id \\\n", "6335 A Killer Walks Amongst Us tt5449390 \n", "6336 Blood Sombrero tt3603104 \n", "6337 The Haunting at Woodland Hills tt1523575 \n", "6338 Volumes of Blood: Horror Stories tt6211920 \n", "6339 Game of Aces tt3687118 \n", "\n", " movie_imdb_link certificate \\\n", "6335 https://www.imdb.com/title/tt5449390/?ref_=adv... Not Rated \n", "6336 https://www.imdb.com/title/tt3603104/?ref_=adv... [] \n", "6337 https://www.imdb.com/title/tt1523575/?ref_=adv... [] \n", "6338 https://www.imdb.com/title/tt6211920/?ref_=adv... [] \n", "6339 https://www.imdb.com/title/tt3687118/?ref_=adv... R \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "6335 91 Crime 4.7 201 \n", "6336 86 Action, Comedy, Fantasy 3.6 201 \n", "6337 84 Drama, Horror, Thriller 3.4 201 \n", "6338 118 Horror 3.9 200 \n", "6339 97 Action, Adventure, War 4.2 200 \n", "\n", " metascore top_director release_year \\\n", "6335 [] Michael Feifer 2016 \n", "6336 [] See full summary 2016 \n", "6337 [] Jeremy Casper 2016 \n", "6338 [] See full summary 2016 \n", "6339 [] Damien Lay 2016 \n", "\n", " awards_link \\\n", "6335 https://www.imdb.com/title/tt5449390/awards/?r... \n", "6336 https://www.imdb.com/title/tt3603104/awards/?r... \n", "6337 https://www.imdb.com/title/tt1523575/awards/?r... \n", "6338 https://www.imdb.com/title/tt6211920/awards/?r... \n", "6339 https://www.imdb.com/title/tt3687118/awards/?r... \n", "\n", " awards_total top_writer \\\n", "6335 0 Benjamin Shahrabani \n", "6336 0 Abel Berry \n", "6337 Showing all 1 win and 1 nomination Jeremy Casper \n", "6338 Showing all 2 wins and 0 nominations Sean Blevins \n", "6339 0 Damien Lay \n", "\n", " top_star_1 top_star_2 top_star_3 \\\n", "6335 Eva LaRue Ashley Scott Michael Welch \n", "6336 Billy Blair Paula Marcenaro Solinger Nick Gomez \n", "6337 Cris Cunningham Dee Ann Newkirk T.J. Maxwell \n", "6338 Barbie Clark Thomas Dunbar Aric Stanish \n", "6339 Chris Klein Victoria Summer Werner Daehn \n", "\n", " num_user_reviews num_critic_reviews \\\n", "6335 2 window.addEventListener('load', (event) => {\\n... \n", "6336 4 window.addEventListener('load', (event) => {\\n... \n", "6337 13 window.addEventListener('load', (event) => {\\n... \n", "6338 3 19 \n", "6339 9 3 \n", "\n", " release_date release_month country_of_origin \\\n", "6335 August 20, 2019 August United States \n", "6336 April 6, 2016 April United States \n", "6337 2016 2016 United States \n", "6338 October 29, 2016 October United States \n", "6339 September 9, 2016 September United States \n", "\n", " top_production_company budget_in_usd opening_weekend_us_can_in_usd \\\n", "6335 [] [] [] \n", "6336 [] 400000 [] \n", "6337 A Stream In The Desert 35000 1.78 : 1 / (high definition) \n", "6338 [] [] 2.39:1 \n", "6339 [] 500000 2.35 : 1 \n", "\n", " gross_us_can_in_usd gross_worldwide_in_usd total_award_nominations \\\n", "6335 [] Knowing 0 \n", "6336 1.78 : 1 [] 0 \n", "6337 [] [] 1 \n", "6338 [] [] 0 \n", "6339 [] [] 0 \n", "\n", " total_award_wins primary_genre secondary_genre \n", "6335 0 Crime Other \n", "6336 0 Action Comedy \n", "6337 1 Drama Horror \n", "6338 2 Horror Other \n", "6339 0 Action Adventure " ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2.tail()" ] }, { "cell_type": "markdown", "id": "956382cf", "metadata": {}, "source": [ "# certificate columns" ] }, { "cell_type": "code", "execution_count": 27, "id": "fcf15165", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[] 1674\n", "R 1487\n", "Not Rated 1052\n", "PG-13 705\n", "TV-MA 452\n", "PG 332\n", "TV-14 283\n", "Unrated 203\n", "TV-PG 77\n", "TV-G 33\n", "G 23\n", "TV-Y7 11\n", "Approved 2\n", "TV-Y7-FV 1\n", "18 1\n", "TV-13 1\n", "M 1\n", "TV-Y 1\n", "T 1\n", "Name: certificate, dtype: int64" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2['certificate'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 28, "id": "84f2f872", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['certificate']= movies_df_v2['certificate'].replace({\n", " 'R':'Adult',\n", " 'PG-13':'+13/14', \n", " 'TV-13':'+13/14',\n", " 'TV-MA':'Adult',\n", " 'PG': 'Parental Guidance',\n", " 'TV-14': '+13/14',\n", " 'Unrated': 'Not Rated',\n", " 'Approved': 'Not Rated',\n", " 'TV-PG': 'Parental Guidance',\n", " 'TV-G': 'Kids',\n", " 'G': 'Suitable for all',\n", " 'TV-Y7': 'Kids',\n", " '18': 'Adult',\n", " 'TV-Y': 'Kids',\n", " 'TV-Y7-FV': 'Kids',\n", " 'T':'Adult',\n", " 'M': 'Adult'\n", "})" ] }, { "cell_type": "code", "execution_count": 29, "id": "a245b393", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Adult 1942\n", "[] 1674\n", "Not Rated 1257\n", "+13/14 989\n", "Parental Guidance 409\n", "Kids 46\n", "Suitable for all 23\n", "Name: certificate, dtype: int64" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2['certificate'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "6583f8af", "metadata": {}, "source": [ "# runtime_in_mins" ] }, { "cell_type": "code", "execution_count": 30, "id": "f5a64716", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['runtime_in_mins'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "0bc3ecdb", "metadata": {}, "source": [ "# imdb_rating" ] }, { "cell_type": "code", "execution_count": 31, "id": "18b8734e", "metadata": {}, "outputs": [], "source": [ "# movies_df_v2['imdb_rating'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "06b16e7b", "metadata": {}, "source": [ "# number of votes" ] }, { "cell_type": "code", "execution_count": 32, "id": "3aac73a4", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['number_of_votes'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "151a8ead", "metadata": {}, "source": [ "# number of user reviews" ] }, { "cell_type": "code", "execution_count": 33, "id": "6db986e3", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['num_user_reviews'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 34, "id": "5747558c", "metadata": {}, "outputs": [], "source": [ "def drop_k(df):\n", " \n", " pattern = \"K\"\n", " \n", " for i in df.index:\n", " if df['num_user_reviews'][i] != '[]':\n", " review = re.findall(pattern,df['num_user_reviews'][i]) \n", " if len(review)>0:\n", " a = df['num_user_reviews'][i].replace('K','') \n", " df['num_user_reviews'][i] = float(a)*1000\n", " \n", " else:\n", " df['num_user_reviews'][i] = df['num_user_reviews'][i]\n", " else:\n", " df['num_user_reviews'][i] = 0\n", " \n", " df['num_user_reviews'] = pd.to_numeric(df['num_user_reviews'], errors='coerce')\n", " \n", " return df\n", " " ] }, { "cell_type": "code", "execution_count": 35, "id": "4a471d8e", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/3710906870.py:10: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['num_user_reviews'][i] = float(a)*1000\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/3710906870.py:13: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['num_user_reviews'][i] = df['num_user_reviews'][i]\n" ] } ], "source": [ "movies_df_v2 = drop_k(movies_df_v2)" ] }, { "cell_type": "code", "execution_count": 36, "id": "72d46170", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['num_user_reviews'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "2b70d740", "metadata": {}, "source": [ "# number of critic reviews" ] }, { "cell_type": "code", "execution_count": 37, "id": "aad15f73", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['num_critic_reviews'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 38, "id": "49efdda0", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['num_critic_reviews'] = pd.to_numeric(movies_df_v2['num_critic_reviews'], errors='coerce')" ] }, { "cell_type": "code", "execution_count": 39, "id": "f580b76d", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['num_critic_reviews'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "a89c6370", "metadata": {}, "source": [ "# release day, month, year, date" ] }, { "cell_type": "markdown", "id": "1aad9737", "metadata": {}, "source": [ "## release_month" ] }, { "cell_type": "code", "execution_count": 40, "id": "07fca906", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "October 696\n", "November 559\n", "September 551\n", "August 548\n", "March 530\n", "April 529\n", "June 506\n", "December 482\n", "January 468\n", "May 458\n", "February 448\n", "July 440\n", "2016 33\n", "2017 26\n", "2018 23\n", "2015 12\n", "[] 8\n", "United 8\n", "2020 7\n", "2021 4\n", "2019 4\n", "Name: release_month, dtype: int64" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2['release_month'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 41, "id": "4fe55216", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['release_month']= movies_df_v2['release_month'].replace({\n", " '2016':'',\n", " '2017':'',\n", " '2018':'',\n", " '2015':'',\n", " 'United': '',\n", " '2020': '',\n", " '2021': '',\n", " '2019': ''\n", "})" ] }, { "cell_type": "code", "execution_count": 42, "id": "c67feb79", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "October 696\n", "November 559\n", "September 551\n", "August 548\n", "March 530\n", "April 529\n", "June 506\n", "December 482\n", "January 468\n", "May 458\n", "February 448\n", "July 440\n", " 117\n", "[] 8\n", "Name: release_month, dtype: int64" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2['release_month'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "531fe4f4", "metadata": {}, "source": [ "## release_date" ] }, { "cell_type": "code", "execution_count": null, "id": "39abaf56", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['release_date'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 44, "id": "39276b9b", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['release_date']= movies_df_v2['release_date'].replace({\n", " '2016':'',\n", " '2017':'',\n", " '2018':''\n", "})" ] }, { "cell_type": "code", "execution_count": 45, "id": "b1bc4f6e", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['release_date']=pd.to_datetime(movies_df_v2['release_date'], errors='coerce')" ] }, { "cell_type": "code", "execution_count": null, "id": "9bb4f8e4", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['release_date'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 47, "id": "05494e77", "metadata": {}, "outputs": [], "source": [ "import datetime as dt\n", "\n", "movies_df_v2['release_weekday'] = movies_df_v2['release_date'].dt.isocalendar().day # weekday 5 is a friday\n" ] }, { "cell_type": "code", "execution_count": 48, "id": "5fd9bf5c", "metadata": {}, "outputs": [], "source": [ "movies_df_v2 = movies_df_v2.drop(['release_month'], axis=1) #dropping the original month column and \n", "#creating one from datetime. The original release_month column has more nonsensical values\n" ] }, { "cell_type": "code", "execution_count": 49, "id": "6cd825eb", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['release_month'] = pd.DatetimeIndex(movies_df_v2['release_date']).month\n" ] }, { "cell_type": "code", "execution_count": 50, "id": "a5a2b816", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "10.0 696\n", "11.0 559\n", "9.0 551\n", "8.0 548\n", "3.0 530\n", "4.0 529\n", "6.0 506\n", "1.0 495\n", "12.0 482\n", "5.0 458\n", "2.0 448\n", "7.0 440\n", "NaN 98\n", "Name: release_month, dtype: int64" ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2['release_month'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 51, "id": "37e456a8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_datecountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usdtotal_award_nominationstotal_award_winsprimary_genresecondary_genrerelease_weekdayrelease_month
0Spider-Man: No Way Homett10872600https://www.imdb.com/title/tt10872600/?ref_=ad...+13/14148Action, Adventure, Fantasy8.373908671Jon Watts2021https://www.imdb.com/title/tt10872600/awards/?...Showing all 34 wins and 66 nominationsChris McKennaTom HollandZendayaBenedict Cumberbatch6100.0412.02021-12-17United StatesColumbia Pictures20000000026013856981411507019162786506634ActionAdventure512.0
1Dunett1160419https://www.imdb.com/title/tt1160419/?ref_=adv...+13/14155Action, Adventure, Drama8.062106974Denis Villeneuve2021https://www.imdb.com/title/tt1160419/awards/?r...Showing all 164 wins and 280 nominationsJon SpaihtsTimothée ChalametRebecca FergusonZendaya5600.0509.02021-10-22CanadaWarner Bros.16500000041011174108327830401847900280164ActionAdventure510.0
2Don't Look Uptt11286314https://www.imdb.com/title/tt11286314/?ref_=ad...Adult138Comedy, Drama, Sci-Fi7.252998149Adam McKay2021https://www.imdb.com/title/tt11286314/awards/?...Showing all 19 wins and 88 nominationsAdam McKayLeonardo DiCaprioJennifer LawrenceMeryl Streep4600.0309.02021-12-24United StatesHyperobject Industries75000000[]7918632.39 : 18819ComedyDrama512.0
3No Time to Diett2382320https://www.imdb.com/title/tt2382320/?ref_=adv...+13/14163Action, Adventure, Thriller7.339393068Cary Joji Fukunaga2021https://www.imdb.com/title/tt2382320/awards/?r...Showing all 35 wins and 69 nominationsNeal PurvisDaniel CraigAna de ArmasRami Malek4100.0449.02021-10-08United KingdomMetro-Goldwyn-Mayer (MGM)250000000552250071608910077741530076935ActionAdventure510.0
4Zack Snyder's Justice Leaguett12361974https://www.imdb.com/title/tt12361974/?ref_=ad...Adult242Action, Adventure, Fantasy8.039350454Zack Snyder2021https://www.imdb.com/title/tt12361974/awards/?...Showing all 1 win and 6 nominationsJerry SiegelHenry CavillBen AffleckGal Gadot8000.0308.02021-03-18United StatesAtlas Entertainment300000000[][]1.33 : 161ActionAdventure43.0
\n", "
" ], "text/plain": [ " title movie_id \\\n", "0 Spider-Man: No Way Home tt10872600 \n", "1 Dune tt1160419 \n", "2 Don't Look Up tt11286314 \n", "3 No Time to Die tt2382320 \n", "4 Zack Snyder's Justice League tt12361974 \n", "\n", " movie_imdb_link certificate \\\n", "0 https://www.imdb.com/title/tt10872600/?ref_=ad... +13/14 \n", "1 https://www.imdb.com/title/tt1160419/?ref_=adv... +13/14 \n", "2 https://www.imdb.com/title/tt11286314/?ref_=ad... Adult \n", "3 https://www.imdb.com/title/tt2382320/?ref_=adv... +13/14 \n", "4 https://www.imdb.com/title/tt12361974/?ref_=ad... Adult \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "0 148 Action, Adventure, Fantasy 8.3 739086 \n", "1 155 Action, Adventure, Drama 8.0 621069 \n", "2 138 Comedy, Drama, Sci-Fi 7.2 529981 \n", "3 163 Action, Adventure, Thriller 7.3 393930 \n", "4 242 Action, Adventure, Fantasy 8.0 393504 \n", "\n", " metascore top_director release_year \\\n", "0 71 Jon Watts 2021 \n", "1 74 Denis Villeneuve 2021 \n", "2 49 Adam McKay 2021 \n", "3 68 Cary Joji Fukunaga 2021 \n", "4 54 Zack Snyder 2021 \n", "\n", " awards_link \\\n", "0 https://www.imdb.com/title/tt10872600/awards/?... \n", "1 https://www.imdb.com/title/tt1160419/awards/?r... \n", "2 https://www.imdb.com/title/tt11286314/awards/?... \n", "3 https://www.imdb.com/title/tt2382320/awards/?r... \n", "4 https://www.imdb.com/title/tt12361974/awards/?... \n", "\n", " awards_total top_writer top_star_1 \\\n", "0 Showing all 34 wins and 66 nominations Chris McKenna Tom Holland \n", "1 Showing all 164 wins and 280 nominations Jon Spaihts Timothée Chalamet \n", "2 Showing all 19 wins and 88 nominations Adam McKay Leonardo DiCaprio \n", "3 Showing all 35 wins and 69 nominations Neal Purvis Daniel Craig \n", "4 Showing all 1 win and 6 nominations Jerry Siegel Henry Cavill \n", "\n", " top_star_2 top_star_3 num_user_reviews \\\n", "0 Zendaya Benedict Cumberbatch 6100.0 \n", "1 Rebecca Ferguson Zendaya 5600.0 \n", "2 Jennifer Lawrence Meryl Streep 4600.0 \n", "3 Ana de Armas Rami Malek 4100.0 \n", "4 Ben Affleck Gal Gadot 8000.0 \n", "\n", " num_critic_reviews release_date country_of_origin \\\n", "0 412.0 2021-12-17 United States \n", "1 509.0 2021-10-22 Canada \n", "2 309.0 2021-12-24 United States \n", "3 449.0 2021-10-08 United Kingdom \n", "4 308.0 2021-03-18 United States \n", "\n", " top_production_company budget_in_usd opening_weekend_us_can_in_usd \\\n", "0 Columbia Pictures 200000000 260138569 \n", "1 Warner Bros. 165000000 41011174 \n", "2 Hyperobject Industries 75000000 [] \n", "3 Metro-Goldwyn-Mayer (MGM) 250000000 55225007 \n", "4 Atlas Entertainment 300000000 [] \n", "\n", " gross_us_can_in_usd gross_worldwide_in_usd total_award_nominations \\\n", "0 814115070 1916278650 66 \n", "1 108327830 401847900 280 \n", "2 791863 2.39 : 1 88 \n", "3 160891007 774153007 69 \n", "4 [] 1.33 : 1 6 \n", "\n", " total_award_wins primary_genre secondary_genre release_weekday \\\n", "0 34 Action Adventure 5 \n", "1 164 Action Adventure 5 \n", "2 19 Comedy Drama 5 \n", "3 35 Action Adventure 5 \n", "4 1 Action Adventure 4 \n", "\n", " release_month \n", "0 12.0 \n", "1 10.0 \n", "2 12.0 \n", "3 10.0 \n", "4 3.0 " ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2.head()" ] }, { "cell_type": "markdown", "id": "cb32cf18", "metadata": {}, "source": [ "# release_year" ] }, { "cell_type": "code", "execution_count": 52, "id": "48c72c70", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2018 996\n", "2017 988\n", "2016 988\n", "2019 953\n", "2015 900\n", "2020 760\n", "2021 755\n", "Name: release_year, dtype: int64" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2['release_year'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "cd4bcd23", "metadata": {}, "source": [ "# country of origin" ] }, { "cell_type": "code", "execution_count": 53, "id": "0492548f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "United States 5542\n", "United Kingdom 255\n", "Canada 112\n", "China 38\n", "France 34\n", "Germany 30\n", "Spain 28\n", "Australia 28\n", "Mexico 22\n", "Ireland 20\n", "Japan 18\n", "Italy 15\n", "India 13\n", "[] 8\n", "Denmark 8\n", "Russia 8\n", "Hong Kong 8\n", "Czech Republic 7\n", "South Africa 7\n", "Poland 7\n", "South Korea 6\n", "Netherlands 6\n", "Bulgaria 5\n", "Hungary 5\n", "Belgium 5\n", "Israel 5\n", "Thailand 5\n", "Sweden 5\n", "Colombia 4\n", "Serbia 4\n", "Finland 4\n", "Puerto Rico 4\n", "Chile 3\n", "United Arab Emirates 3\n", "Argentina 3\n", "English 3\n", "Official Facebook 3\n", "Brazil 3\n", "New Zealand 3\n", "Romania 3\n", "Switzerland 2\n", "Iceland 2\n", "Portugal 2\n", "Taiwan 2\n", "Egypt 2\n", "Belarus 2\n", "Georgia 2\n", "Croatia 2\n", "Norway 2\n", "Turkey 2\n", "Ukraine 2\n", "Indonesia 2\n", "Panama 2\n", "Albania 1\n", "Bermuda 1\n", "Cyprus 1\n", "Official DVD and VOD release 1\n", "Singapore 1\n", "Bosnia and Herzegovina 1\n", "Digit log Studios (United States) 1\n", "Nigeria 1\n", "Kenya 1\n", "Peru 1\n", "Ghana 1\n", "Honduras 1\n", "Cambodia 1\n", "Kosovo 1\n", "Jamaica 1\n", "Guatemala 1\n", "Greece 1\n", "Malta 1\n", "Austria 1\n", "Lithuania 1\n", "Bolivia 1\n", "Philippines 1\n", "Pakistan 1\n", "Andorra 1\n", "Name: country_of_origin, dtype: int64" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2['country_of_origin'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 54, "id": "d6bd1dc6", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['country_of_origin']= movies_df_v2['country_of_origin'].replace({\n", " 'Official Facebook':'[]',\n", " 'English':'[]',\n", " 'Official DVD and VOD release':'[]',\n", " 'Digit log Studios (United States)':'[]' \n", "})" ] }, { "cell_type": "code", "execution_count": 55, "id": "b79df835", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "United States 5542\n", "United Kingdom 255\n", "Canada 112\n", "China 38\n", "France 34\n", "Germany 30\n", "Australia 28\n", "Spain 28\n", "Mexico 22\n", "Ireland 20\n", "Japan 18\n", "[] 16\n", "Italy 15\n", "India 13\n", "Hong Kong 8\n", "Denmark 8\n", "Russia 8\n", "Czech Republic 7\n", "South Africa 7\n", "Poland 7\n", "South Korea 6\n", "Netherlands 6\n", "Belgium 5\n", "Bulgaria 5\n", "Israel 5\n", "Hungary 5\n", "Sweden 5\n", "Thailand 5\n", "Colombia 4\n", "Puerto Rico 4\n", "Finland 4\n", "Serbia 4\n", "Brazil 3\n", "Argentina 3\n", "Chile 3\n", "United Arab Emirates 3\n", "Romania 3\n", "New Zealand 3\n", "Switzerland 2\n", "Georgia 2\n", "Iceland 2\n", "Panama 2\n", "Portugal 2\n", "Ukraine 2\n", "Egypt 2\n", "Belarus 2\n", "Croatia 2\n", "Taiwan 2\n", "Turkey 2\n", "Norway 2\n", "Indonesia 2\n", "Greece 1\n", "Honduras 1\n", "Singapore 1\n", "Albania 1\n", "Cyprus 1\n", "Bosnia and Herzegovina 1\n", "Nigeria 1\n", "Kenya 1\n", "Lithuania 1\n", "Bermuda 1\n", "Kosovo 1\n", "Cambodia 1\n", "Austria 1\n", "Pakistan 1\n", "Jamaica 1\n", "Ghana 1\n", "Guatemala 1\n", "Philippines 1\n", "Bolivia 1\n", "Peru 1\n", "Malta 1\n", "Andorra 1\n", "Name: country_of_origin, dtype: int64" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2['country_of_origin'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "39497021", "metadata": {}, "source": [ "# metascore" ] }, { "cell_type": "code", "execution_count": 56, "id": "6887f3a1", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['metascore'].value_counts(dropna=False) # turns out that most values are empty. replace [] wih 'Not scored'\n", "\n" ] }, { "cell_type": "code", "execution_count": 57, "id": "2bd16785", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['metascore']= movies_df_v2['metascore'].replace({\n", " '[]':'Not scored' \n", "})\n" ] }, { "cell_type": "code", "execution_count": 58, "id": "ca611e8a", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['metascore'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": null, "id": "61782e30", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "8cfb1aee", "metadata": {}, "source": [ "# top_production_company" ] }, { "cell_type": "code", "execution_count": 59, "id": "f2a998df", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['top_production_company'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": null, "id": "05c93c9a", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "ab5daef3", "metadata": {}, "source": [ "# budget_in_usd" ] }, { "cell_type": "code", "execution_count": 60, "id": "497cc9b1", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['budget_in_usd'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 61, "id": "2990bbf5", "metadata": {}, "outputs": [], "source": [ "def remove_currency(row): \n", " if type(row) != float:\n", " row = row.replace('$', '')\n", " if '€' in row:\n", " row = row.replace('€', '').strip() # no cunversion needed as of date\n", " if 'CA' in row:\n", " row = row.replace('CA', '').strip()\n", " row = str(int(row)*0.73) \n", " if '₹' in row:\n", " row = row.replace('₹', '').strip()\n", " row = str(int(row)*0.012) \n", " if '£' in row:\n", " row = row.replace('£', '').strip()\n", " row = str(int(row)*1.14)\n", " if 'CN¥' in row:\n", " row = row.replace('CN¥', '').strip()\n", " row = str(int(row)*0.0067)\n", " if 'RUR' in row:\n", " row = row.replace('RUR', '').strip()\n", " row = str(int(row)*0.016)\n", " \n", " return row\n", "\n", "movies_df_v2['budget_in_usd'] = movies_df_v2['budget_in_usd'].apply(remove_currency)" ] }, { "cell_type": "code", "execution_count": 62, "id": "d1773907", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['budget_in_usd'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "0174f20d", "metadata": {}, "source": [ "# opening_weekend_us_can_in_usd" ] }, { "cell_type": "code", "execution_count": 63, "id": "ce76e65f", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['opening_weekend_us_can_in_usd'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 64, "id": "890b3ad1", "metadata": {}, "outputs": [], "source": [ "def remove_nonsensical(row): \n", " if type(row) != float:\n", " if ':' in row:\n", " row = np.nan\n", " \n", " return row" ] }, { "cell_type": "code", "execution_count": 65, "id": "5db5ae78", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['opening_weekend_us_can_in_usd'] = movies_df_v2['opening_weekend_us_can_in_usd'].apply(remove_nonsensical)" ] }, { "cell_type": "code", "execution_count": 66, "id": "dc154220", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['opening_weekend_us_can_in_usd'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "c510b82d", "metadata": {}, "source": [ "# gross_us_can_in_usd" ] }, { "cell_type": "code", "execution_count": 67, "id": "3e5a1b92", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['gross_us_can_in_usd'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 68, "id": "0103ff38", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['gross_us_can_in_usd'] = movies_df_v2['gross_us_can_in_usd'].apply(remove_nonsensical)\n" ] }, { "cell_type": "code", "execution_count": 69, "id": "084af5b9", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['gross_us_can_in_usd'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "aea4aac1", "metadata": {}, "source": [ "# gross_worldwide_in_usd" ] }, { "cell_type": "code", "execution_count": 70, "id": "c2231611", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['gross_worldwide_in_usd'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 71, "id": "d659a6cd", "metadata": {}, "outputs": [], "source": [ "movies_df_v2['gross_worldwide_in_usd'] = movies_df_v2['gross_worldwide_in_usd'].apply(remove_nonsensical)\n" ] }, { "cell_type": "code", "execution_count": 72, "id": "b207ca8f", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['gross_worldwide_in_usd'].value_counts(dropna=False)" ] }, { "cell_type": "markdown", "id": "81ec76c5", "metadata": {}, "source": [ "# top_director" ] }, { "cell_type": "code", "execution_count": 73, "id": "ba9abd55", "metadata": {}, "outputs": [], "source": [ "# movies_df_v2['top_director'].value_counts(dropna=False) # everything looks ok" ] }, { "cell_type": "markdown", "id": "a9d278f6", "metadata": {}, "source": [ "# top_writer" ] }, { "cell_type": "code", "execution_count": 74, "id": "39e23d59", "metadata": {}, "outputs": [], "source": [ "# movies_df_v2['top_writer'].value_counts(dropna=False) # everything looks ok, there are a few []" ] }, { "cell_type": "markdown", "id": "938d236d", "metadata": {}, "source": [ "# top_star_1" ] }, { "cell_type": "code", "execution_count": 75, "id": "d2d15fc2", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['top_star_1'].value_counts(dropna=False) # everything looks ok, there are a few []" ] }, { "cell_type": "markdown", "id": "7f845461", "metadata": {}, "source": [ "# top_star_2" ] }, { "cell_type": "code", "execution_count": 76, "id": "377dd743", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['top_star_2'].value_counts(dropna=False) # everything looks ok, there are a few []" ] }, { "cell_type": "markdown", "id": "5fa9ca0c", "metadata": {}, "source": [ "# top_star_3" ] }, { "cell_type": "code", "execution_count": 77, "id": "0b1246e5", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2['top_star_3'].value_counts(dropna=False) # everything looks ok, there are a few []" ] }, { "cell_type": "code", "execution_count": null, "id": "440a13d6", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "242145ae", "metadata": {}, "source": [ "# Resurface nans" ] }, { "cell_type": "code", "execution_count": 78, "id": "64548522", "metadata": {}, "outputs": [], "source": [ "#movies_df_v2.isna().sum() # previous method" ] }, { "cell_type": "code", "execution_count": 79, "id": "2002511a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "title 0\n", "movie_id 0\n", "movie_imdb_link 0\n", "certificate 0\n", "runtime_in_mins 0\n", "genre 0\n", "imdb_rating 0\n", "number_of_votes 0\n", "metascore 0\n", "top_director 0\n", "release_year 0\n", "awards_link 0\n", "awards_total 0\n", "top_writer 0\n", "top_star_1 0\n", "top_star_2 0\n", "top_star_3 0\n", "num_user_reviews 0\n", "num_critic_reviews 717\n", "release_date 98\n", "country_of_origin 0\n", "top_production_company 0\n", "budget_in_usd 0\n", "opening_weekend_us_can_in_usd 2080\n", "gross_us_can_in_usd 90\n", "gross_worldwide_in_usd 741\n", "total_award_nominations 0\n", "total_award_wins 0\n", "primary_genre 0\n", "secondary_genre 0\n", "release_weekday 98\n", "release_month 98\n", "dtype: int64" ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2.isna().sum()" ] }, { "cell_type": "code", "execution_count": 80, "id": "8b45a424", "metadata": { "scrolled": true }, "outputs": [], "source": [ "movies_df_v2.replace('',np.nan, inplace=True)\n", "movies_df_v2.replace('[]',np.nan, inplace=True)" ] }, { "cell_type": "code", "execution_count": 81, "id": "9d550e7a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "title 0\n", "movie_id 0\n", "movie_imdb_link 0\n", "certificate 1674\n", "runtime_in_mins 17\n", "genre 2\n", "imdb_rating 0\n", "number_of_votes 0\n", "metascore 0\n", "top_director 1\n", "release_year 0\n", "awards_link 0\n", "awards_total 0\n", "top_writer 16\n", "top_star_1 69\n", "top_star_2 76\n", "top_star_3 89\n", "num_user_reviews 0\n", "num_critic_reviews 717\n", "release_date 98\n", "country_of_origin 16\n", "top_production_company 3538\n", "budget_in_usd 2978\n", "opening_weekend_us_can_in_usd 4647\n", "gross_us_can_in_usd 4361\n", "gross_worldwide_in_usd 3789\n", "total_award_nominations 0\n", "total_award_wins 0\n", "primary_genre 2\n", "secondary_genre 2\n", "release_weekday 98\n", "release_month 98\n", "dtype: int64" ] }, "execution_count": 81, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2.isna().sum()" ] }, { "cell_type": "markdown", "id": "de3e40cf", "metadata": {}, "source": [ "# dtype conversions" ] }, { "cell_type": "code", "execution_count": 82, "id": "27d6369d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 6340 entries, 0 to 6339\n", "Data columns (total 32 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 title 6340 non-null object \n", " 1 movie_id 6340 non-null object \n", " 2 movie_imdb_link 6340 non-null object \n", " 3 certificate 4666 non-null object \n", " 4 runtime_in_mins 6323 non-null object \n", " 5 genre 6338 non-null object \n", " 6 imdb_rating 6340 non-null float64 \n", " 7 number_of_votes 6340 non-null int64 \n", " 8 metascore 6340 non-null object \n", " 9 top_director 6339 non-null object \n", " 10 release_year 6340 non-null int64 \n", " 11 awards_link 6340 non-null object \n", " 12 awards_total 6340 non-null object \n", " 13 top_writer 6324 non-null object \n", " 14 top_star_1 6271 non-null object \n", " 15 top_star_2 6264 non-null object \n", " 16 top_star_3 6251 non-null object \n", " 17 num_user_reviews 6340 non-null float64 \n", " 18 num_critic_reviews 5623 non-null float64 \n", " 19 release_date 6242 non-null datetime64[ns]\n", " 20 country_of_origin 6324 non-null object \n", " 21 top_production_company 2802 non-null object \n", " 22 budget_in_usd 3362 non-null object \n", " 23 opening_weekend_us_can_in_usd 1693 non-null object \n", " 24 gross_us_can_in_usd 1979 non-null object \n", " 25 gross_worldwide_in_usd 2551 non-null object \n", " 26 total_award_nominations 6340 non-null object \n", " 27 total_award_wins 6340 non-null object \n", " 28 primary_genre 6338 non-null object \n", " 29 secondary_genre 6338 non-null object \n", " 30 release_weekday 6242 non-null UInt32 \n", " 31 release_month 6242 non-null float64 \n", "dtypes: UInt32(1), datetime64[ns](1), float64(4), int64(2), object(24)\n", "memory usage: 1.5+ MB\n" ] } ], "source": [ "movies_df_v2.info()" ] }, { "cell_type": "code", "execution_count": 83, "id": "619e9075", "metadata": {}, "outputs": [], "source": [ "# turn some columns into numeric" ] }, { "cell_type": "code", "execution_count": 84, "id": "33be378a", "metadata": {}, "outputs": [], "source": [ "cols_numeric = ['runtime_in_mins','num_user_reviews', 'metascore','budget_in_usd', 'opening_weekend_us_can_in_usd',\n", " 'gross_us_can_in_usd', 'gross_worldwide_in_usd','total_award_nominations',\n", " 'total_award_wins']\n", "\n", "movies_df_v2[cols_numeric] = movies_df_v2[cols_numeric].apply(pd.to_numeric, errors='coerce', axis=1)\n" ] }, { "cell_type": "code", "execution_count": 85, "id": "96feda88", "metadata": {}, "outputs": [], "source": [ "cols_object = ['release_year','release_month', 'release_weekday']\n", "\n", "movies_df_v2[cols_object] = movies_df_v2[cols_object].astype(object)" ] }, { "cell_type": "code", "execution_count": 86, "id": "72a6a6cb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "title 0\n", "movie_id 0\n", "movie_imdb_link 0\n", "certificate 1674\n", "runtime_in_mins 17\n", "genre 2\n", "imdb_rating 0\n", "number_of_votes 0\n", "metascore 3648\n", "top_director 1\n", "release_year 0\n", "awards_link 0\n", "awards_total 0\n", "top_writer 16\n", "top_star_1 69\n", "top_star_2 76\n", "top_star_3 89\n", "num_user_reviews 0\n", "num_critic_reviews 717\n", "release_date 98\n", "country_of_origin 16\n", "top_production_company 3538\n", "budget_in_usd 2981\n", "opening_weekend_us_can_in_usd 4647\n", "gross_us_can_in_usd 4361\n", "gross_worldwide_in_usd 5447\n", "total_award_nominations 0\n", "total_award_wins 0\n", "primary_genre 2\n", "secondary_genre 2\n", "release_weekday 98\n", "release_month 98\n", "dtype: int64" ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v2.isna().sum()" ] }, { "cell_type": "code", "execution_count": 87, "id": "ef73168e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 6340 entries, 0 to 6339\n", "Data columns (total 32 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 title 6340 non-null object \n", " 1 movie_id 6340 non-null object \n", " 2 movie_imdb_link 6340 non-null object \n", " 3 certificate 4666 non-null object \n", " 4 runtime_in_mins 6323 non-null float64 \n", " 5 genre 6338 non-null object \n", " 6 imdb_rating 6340 non-null float64 \n", " 7 number_of_votes 6340 non-null int64 \n", " 8 metascore 2692 non-null float64 \n", " 9 top_director 6339 non-null object \n", " 10 release_year 6340 non-null object \n", " 11 awards_link 6340 non-null object \n", " 12 awards_total 6340 non-null object \n", " 13 top_writer 6324 non-null object \n", " 14 top_star_1 6271 non-null object \n", " 15 top_star_2 6264 non-null object \n", " 16 top_star_3 6251 non-null object \n", " 17 num_user_reviews 6340 non-null float64 \n", " 18 num_critic_reviews 5623 non-null float64 \n", " 19 release_date 6242 non-null datetime64[ns]\n", " 20 country_of_origin 6324 non-null object \n", " 21 top_production_company 2802 non-null object \n", " 22 budget_in_usd 3359 non-null float64 \n", " 23 opening_weekend_us_can_in_usd 1693 non-null float64 \n", " 24 gross_us_can_in_usd 1979 non-null float64 \n", " 25 gross_worldwide_in_usd 893 non-null float64 \n", " 26 total_award_nominations 6340 non-null float64 \n", " 27 total_award_wins 6340 non-null float64 \n", " 28 primary_genre 6338 non-null object \n", " 29 secondary_genre 6338 non-null object \n", " 30 release_weekday 6242 non-null object \n", " 31 release_month 6242 non-null object \n", "dtypes: datetime64[ns](1), float64(11), int64(1), object(19)\n", "memory usage: 1.5+ MB\n" ] } ], "source": [ "movies_df_v2.info()" ] }, { "cell_type": "markdown", "id": "838b79d1", "metadata": {}, "source": [ "# Feature engineering" ] }, { "cell_type": "markdown", "id": "a89695df", "metadata": {}, "source": [ "Before I impute nans, I would like to add columns based on the existing columns." ] }, { "cell_type": "code", "execution_count": 88, "id": "e75f790d", "metadata": {}, "outputs": [], "source": [ "#new columns:\n", "\n", "# whether the movie won/nominated for oscar in picture category (the best/supporting actress/actor category\n", " #is handled in the next ways below)\n", "\n", "# total number of oscar nominations by the top 3 stars in their lifetime (in best/supporting actor/actress)\n", "\n", "# total number of oscar wins by the top 3 stars in their lifetime (in best/supporting actor/actress)\n", "\n", "# also individual win/nomination columns for each of the three leading stars in each movie\n", "\n", "# whether the top_director has ever directed a top_1000 movie (Y/N)\n" ] }, { "cell_type": "markdown", "id": "c5a83dab", "metadata": {}, "source": [ "## Oscars" ] }, { "cell_type": "code", "execution_count": 89, "id": "adaed68b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TitleWinnerAwardYear
0BelfastNPicture2021
1CODAYPicture2021
2Don't Look UpNPicture2021
3Drive My CarNPicture2021
4DuneNPicture2021
\n", "
" ], "text/plain": [ " Title Winner Award Year\n", "0 Belfast N Picture 2021\n", "1 CODA Y Picture 2021\n", "2 Don't Look Up N Picture 2021\n", "3 Drive My Car N Picture 2021\n", "4 Dune N Picture 2021" ] }, "execution_count": 89, "metadata": {}, "output_type": "execute_result" } ], "source": [ "oscars.head()" ] }, { "cell_type": "code", "execution_count": 90, "id": "02b45404", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titleoscar_winoscar_nomination
0BelfastNY
1CODAYY
2Don't Look UpNY
3Drive My CarNY
4DuneNY
\n", "
" ], "text/plain": [ " title oscar_win oscar_nomination\n", "0 Belfast N Y\n", "1 CODA Y Y\n", "2 Don't Look Up N Y\n", "3 Drive My Car N Y\n", "4 Dune N Y" ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" } ], "source": [ "oscars_copy_movie = oscars.copy()\n", "oscars_copy_movie['oscar_nomination'] = oscars_copy_movie.loc[:, 'Winner']\n", "oscars_copy_movie = oscars_copy_movie.drop(['Year', 'Award'], axis=1) \n", "\n", "oscars_copy_movie = oscars_copy_movie.rename(columns={'Title':'title', 'Winner':'oscar_win',\n", " 'oscar_nomination':'oscar_nomination'})\n", "\n", "oscars_copy_movie['oscar_nomination']= oscars_copy_movie['oscar_nomination'].replace({'N':'Y'})\n", "oscars_copy_movie.head()" ] }, { "cell_type": "code", "execution_count": 91, "id": "6a4dea02", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_datecountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usdtotal_award_nominationstotal_award_winsprimary_genresecondary_genrerelease_weekdayrelease_monthoscar_winoscar_nomination
0Spider-Man: No Way Homett10872600https://www.imdb.com/title/tt10872600/?ref_=ad...+13/14148.0Action, Adventure, Fantasy8.373908671.0Jon Watts2021https://www.imdb.com/title/tt10872600/awards/?...Showing all 34 wins and 66 nominationsChris McKennaTom HollandZendayaBenedict Cumberbatch6100.0412.02021-12-17United StatesColumbia Pictures200000000.0260138569.0814115070.01.916279e+0966.034.0ActionAdventure512.0NN
1Dunett1160419https://www.imdb.com/title/tt1160419/?ref_=adv...+13/14155.0Action, Adventure, Drama8.062106974.0Denis Villeneuve2021https://www.imdb.com/title/tt1160419/awards/?r...Showing all 164 wins and 280 nominationsJon SpaihtsTimothée ChalametRebecca FergusonZendaya5600.0509.02021-10-22CanadaWarner Bros.165000000.041011174.0108327830.04.018479e+08280.0164.0ActionAdventure510.0NY
2Don't Look Uptt11286314https://www.imdb.com/title/tt11286314/?ref_=ad...Adult138.0Comedy, Drama, Sci-Fi7.252998149.0Adam McKay2021https://www.imdb.com/title/tt11286314/awards/?...Showing all 19 wins and 88 nominationsAdam McKayLeonardo DiCaprioJennifer LawrenceMeryl Streep4600.0309.02021-12-24United StatesHyperobject Industries75000000.0NaN791863.0NaN88.019.0ComedyDrama512.0NY
3No Time to Diett2382320https://www.imdb.com/title/tt2382320/?ref_=adv...+13/14163.0Action, Adventure, Thriller7.339393068.0Cary Joji Fukunaga2021https://www.imdb.com/title/tt2382320/awards/?r...Showing all 35 wins and 69 nominationsNeal PurvisDaniel CraigAna de ArmasRami Malek4100.0449.02021-10-08United KingdomMetro-Goldwyn-Mayer (MGM)250000000.055225007.0160891007.07.741530e+0869.035.0ActionAdventure510.0NN
4Zack Snyder's Justice Leaguett12361974https://www.imdb.com/title/tt12361974/?ref_=ad...Adult242.0Action, Adventure, Fantasy8.039350454.0Zack Snyder2021https://www.imdb.com/title/tt12361974/awards/?...Showing all 1 win and 6 nominationsJerry SiegelHenry CavillBen AffleckGal Gadot8000.0308.02021-03-18United StatesAtlas Entertainment300000000.0NaNNaNNaN6.01.0ActionAdventure43.0NN
\n", "
" ], "text/plain": [ " title movie_id \\\n", "0 Spider-Man: No Way Home tt10872600 \n", "1 Dune tt1160419 \n", "2 Don't Look Up tt11286314 \n", "3 No Time to Die tt2382320 \n", "4 Zack Snyder's Justice League tt12361974 \n", "\n", " movie_imdb_link certificate \\\n", "0 https://www.imdb.com/title/tt10872600/?ref_=ad... +13/14 \n", "1 https://www.imdb.com/title/tt1160419/?ref_=adv... +13/14 \n", "2 https://www.imdb.com/title/tt11286314/?ref_=ad... Adult \n", "3 https://www.imdb.com/title/tt2382320/?ref_=adv... +13/14 \n", "4 https://www.imdb.com/title/tt12361974/?ref_=ad... Adult \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "0 148.0 Action, Adventure, Fantasy 8.3 739086 \n", "1 155.0 Action, Adventure, Drama 8.0 621069 \n", "2 138.0 Comedy, Drama, Sci-Fi 7.2 529981 \n", "3 163.0 Action, Adventure, Thriller 7.3 393930 \n", "4 242.0 Action, Adventure, Fantasy 8.0 393504 \n", "\n", " metascore top_director release_year \\\n", "0 71.0 Jon Watts 2021 \n", "1 74.0 Denis Villeneuve 2021 \n", "2 49.0 Adam McKay 2021 \n", "3 68.0 Cary Joji Fukunaga 2021 \n", "4 54.0 Zack Snyder 2021 \n", "\n", " awards_link \\\n", "0 https://www.imdb.com/title/tt10872600/awards/?... \n", "1 https://www.imdb.com/title/tt1160419/awards/?r... \n", "2 https://www.imdb.com/title/tt11286314/awards/?... \n", "3 https://www.imdb.com/title/tt2382320/awards/?r... \n", "4 https://www.imdb.com/title/tt12361974/awards/?... \n", "\n", " awards_total top_writer top_star_1 \\\n", "0 Showing all 34 wins and 66 nominations Chris McKenna Tom Holland \n", "1 Showing all 164 wins and 280 nominations Jon Spaihts Timothée Chalamet \n", "2 Showing all 19 wins and 88 nominations Adam McKay Leonardo DiCaprio \n", "3 Showing all 35 wins and 69 nominations Neal Purvis Daniel Craig \n", "4 Showing all 1 win and 6 nominations Jerry Siegel Henry Cavill \n", "\n", " top_star_2 top_star_3 num_user_reviews \\\n", "0 Zendaya Benedict Cumberbatch 6100.0 \n", "1 Rebecca Ferguson Zendaya 5600.0 \n", "2 Jennifer Lawrence Meryl Streep 4600.0 \n", "3 Ana de Armas Rami Malek 4100.0 \n", "4 Ben Affleck Gal Gadot 8000.0 \n", "\n", " num_critic_reviews release_date country_of_origin \\\n", "0 412.0 2021-12-17 United States \n", "1 509.0 2021-10-22 Canada \n", "2 309.0 2021-12-24 United States \n", "3 449.0 2021-10-08 United Kingdom \n", "4 308.0 2021-03-18 United States \n", "\n", " top_production_company budget_in_usd opening_weekend_us_can_in_usd \\\n", "0 Columbia Pictures 200000000.0 260138569.0 \n", "1 Warner Bros. 165000000.0 41011174.0 \n", "2 Hyperobject Industries 75000000.0 NaN \n", "3 Metro-Goldwyn-Mayer (MGM) 250000000.0 55225007.0 \n", "4 Atlas Entertainment 300000000.0 NaN \n", "\n", " gross_us_can_in_usd gross_worldwide_in_usd total_award_nominations \\\n", "0 814115070.0 1.916279e+09 66.0 \n", "1 108327830.0 4.018479e+08 280.0 \n", "2 791863.0 NaN 88.0 \n", "3 160891007.0 7.741530e+08 69.0 \n", "4 NaN NaN 6.0 \n", "\n", " total_award_wins primary_genre secondary_genre release_weekday \\\n", "0 34.0 Action Adventure 5 \n", "1 164.0 Action Adventure 5 \n", "2 19.0 Comedy Drama 5 \n", "3 35.0 Action Adventure 5 \n", "4 1.0 Action Adventure 4 \n", "\n", " release_month oscar_win oscar_nomination \n", "0 12.0 N N \n", "1 10.0 N Y \n", "2 12.0 N Y \n", "3 10.0 N N \n", "4 3.0 N N " ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v3 = pd.merge(movies_df_v2, oscars_copy_movie, how='left', on='title')\n", "\n", "movies_df_v3['oscar_win']=movies_df_v3['oscar_win'].fillna('N')\n", "movies_df_v3['oscar_nomination']=movies_df_v3['oscar_nomination'].fillna('N')\n", "movies_df_v3.head()" ] }, { "cell_type": "code", "execution_count": 92, "id": "58a5282b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Picture 581\n", "Actress 469\n", "Actor 464\n", "Supporting Actor 430\n", "Supporting Actress 430\n", "Name: Award, dtype: int64" ] }, "execution_count": 92, "metadata": {}, "output_type": "execute_result" } ], "source": [ "oscars['Award'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 93, "id": "c0f910fd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(2374, 4)" ] }, "execution_count": 93, "metadata": {}, "output_type": "execute_result" } ], "source": [ "oscars.shape" ] }, { "cell_type": "code", "execution_count": 94, "id": "811f9c26", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/4046713429.py:2: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " oscars_copy_star['oscar_nomination'] = oscars_copy_star.loc[:, 'Winner']\n" ] } ], "source": [ "oscars_copy_star = oscars[oscars['Award']!='Picture']\n", "oscars_copy_star['oscar_nomination'] = oscars_copy_star.loc[:, 'Winner']\n", "oscars_copy_star = oscars_copy_star.drop(['Year', 'Award'], axis=1) \n", "\n", "oscars_copy_star = oscars_copy_star.rename(columns={'Title':'top_star', 'Winner':'oscar_win_top_star',\n", " 'oscar_nomination':'oscar_nomination_top_star'})\n", "\n", "oscars_copy_star['oscar_nomination_top_star']= oscars_copy_star['oscar_nomination_top_star'].replace({'N':'Y'})" ] }, { "cell_type": "code", "execution_count": 95, "id": "d2faacf5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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top_staroscar_win_top_staroscar_nomination_top_star
10Jessica ChastainYY
11Olivia ColmanNY
12Penélope CruzNY
13Nicole KidmanNY
14Kristen StewartNY
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" ], "text/plain": [ " top_star oscar_win_top_star oscar_nomination_top_star\n", "10 Jessica Chastain Y Y\n", "11 Olivia Colman N Y\n", "12 Penélope Cruz N Y\n", "13 Nicole Kidman N Y\n", "14 Kristen Stewart N Y" ] }, "execution_count": 95, "metadata": {}, "output_type": "execute_result" } ], "source": [ "oscars_copy_star.head()" ] }, { "cell_type": "code", "execution_count": 96, "id": "3fd8b2bb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(1793, 3)" ] }, "execution_count": 96, "metadata": {}, "output_type": "execute_result" } ], "source": [ "oscars_copy_star.shape" ] }, { "cell_type": "code", "execution_count": 97, "id": "56b95aba", "metadata": {}, "outputs": [], "source": [ "# wins\n", "oscars_copy_star_w = oscars_copy_star.drop(['oscar_nomination_top_star'], axis=1)\n", "\n", "oscars_copy_star_wins = oscars_copy_star_w[oscars_copy_star_w['oscar_win_top_star']=='Y']\n", "\n", "#nominations\n", "oscars_copy_star_nominations = oscars_copy_star.drop(['oscar_win_top_star'], axis=1)\n" ] }, { "cell_type": "code", "execution_count": 98, "id": "39f85aa6", "metadata": {}, "outputs": [], "source": [ "number_of_oscar_wins_per_star=oscars_copy_star_wins.pivot_table(index= ['top_star'], aggfunc = ['count'])\n", "\n", "number_of_oscar_nominations_per_star=oscars_copy_star_nominations.pivot_table(index= ['top_star'], aggfunc = ['count'])\n", "\n" ] }, { "cell_type": "code", "execution_count": 99, "id": "74092024", "metadata": {}, "outputs": [], "source": [ "number_of_oscar_wins_per_star.columns = number_of_oscar_wins_per_star.columns.droplevel(0)\n", "number_of_oscar_wins_per_star = number_of_oscar_wins_per_star.reset_index().rename_axis(None, axis=1)\n" ] }, { "cell_type": "code", "execution_count": 100, "id": "9c0644c9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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top_staroscar_win_top_star
0Adrien Brody1
1Al Pacino1
2Alan Arkin1
3Alec Guinness1
4Alice Brady1
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" ], "text/plain": [ " top_star oscar_win_top_star\n", "0 Adrien Brody 1\n", "1 Al Pacino 1\n", "2 Alan Arkin 1\n", "3 Alec Guinness 1\n", "4 Alice Brady 1" ] }, "execution_count": 100, "metadata": {}, "output_type": "execute_result" } ], "source": [ "number_of_oscar_wins_per_star.head()" ] }, { "cell_type": "code", "execution_count": 101, "id": "db66d7f9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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top_staroscar_nomination_top_star
0Abigail Breslin1
1Adam Driver2
2Adolph Caesar1
3Adolphe Menjou1
4Adriana Barraza1
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" ], "text/plain": [ " top_star oscar_nomination_top_star\n", "0 Abigail Breslin 1\n", "1 Adam Driver 2\n", "2 Adolph Caesar 1\n", "3 Adolphe Menjou 1\n", "4 Adriana Barraza 1" ] }, "execution_count": 101, "metadata": {}, "output_type": "execute_result" } ], "source": [ "number_of_oscar_nominations_per_star.columns = number_of_oscar_nominations_per_star.columns.droplevel(0)\n", "number_of_oscar_nominations_per_star = number_of_oscar_nominations_per_star.reset_index().rename_axis(None, axis=1)\n", "number_of_oscar_nominations_per_star.head()" ] }, { "cell_type": "code", "execution_count": 102, "id": "9bd58259", "metadata": {}, "outputs": [], "source": [ "number_of_oscar_wins_per_star = number_of_oscar_wins_per_star.rename(columns={'top_star':'top_star',\n", " 'oscar_win_top_star':'total_oscar_wins_top_star'})\n", "\n", "number_of_oscar_nominations_per_star = number_of_oscar_nominations_per_star.rename(columns={'top_star':'top_star',\n", " 'oscar_nomination_top_star':'total_oscar_nominations_top_star'})" ] }, { "cell_type": "code", "execution_count": 103, "id": "c5300f0f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((311, 2), (955, 2))" ] }, "execution_count": 103, "metadata": {}, "output_type": "execute_result" } ], "source": [ "number_of_oscar_wins_per_star.shape, number_of_oscar_nominations_per_star.shape" ] }, { "cell_type": "code", "execution_count": 104, "id": "bd16b48d", "metadata": {}, "outputs": [], "source": [ "# top_star_1" ] }, { "cell_type": "code", "execution_count": 105, "id": "cfa4d8a2", "metadata": {}, "outputs": [], "source": [ "number_of_oscar_wins_per_star_1 = number_of_oscar_wins_per_star.copy()\n", "\n", "number_of_oscar_wins_per_star_1 = number_of_oscar_wins_per_star_1.rename(columns={'top_star':'top_star_1',\n", " 'total_oscar_wins_top_star':'total_oscar_wins_top_star_1'})\n", "\n", "number_of_oscar_nominations_per_star_1 = number_of_oscar_nominations_per_star.copy()\n", "\n", "number_of_oscar_nominations_per_star_1 = number_of_oscar_nominations_per_star_1.rename(columns={'top_star':'top_star_1',\n", " 'total_oscar_nominations_top_star':'total_oscar_nominations_top_star_1'})\n", "\n" ] }, { "cell_type": "code", "execution_count": 106, "id": "1a65f0c3", "metadata": {}, "outputs": [], "source": [ "movies_df_v4 = pd.merge(movies_df_v3, number_of_oscar_wins_per_star_1, how='left', on='top_star_1')\n" ] }, { "cell_type": "code", "execution_count": 107, "id": "6b58ac90", "metadata": {}, "outputs": [], "source": [ "movies_df_v5 = pd.merge(movies_df_v4, number_of_oscar_nominations_per_star_1, how='left', on='top_star_1')" ] }, { "cell_type": "code", "execution_count": null, "id": "15b60c27", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 108, "id": "54660df6", "metadata": {}, "outputs": [], "source": [ "# top_star_2" ] }, { "cell_type": "code", "execution_count": 109, "id": "c07de041", "metadata": {}, "outputs": [], "source": [ "number_of_oscar_wins_per_star_2 = number_of_oscar_wins_per_star.copy()\n", "\n", "number_of_oscar_wins_per_star_2 = number_of_oscar_wins_per_star_2.rename(columns={'top_star':'top_star_2',\n", " 'total_oscar_wins_top_star':'total_oscar_wins_top_star_2'})\n", "\n", "number_of_oscar_nominations_per_star_2 = number_of_oscar_nominations_per_star.copy()\n", "\n", "number_of_oscar_nominations_per_star_2 = number_of_oscar_nominations_per_star_2.rename(columns={'top_star':'top_star_2',\n", " 'total_oscar_nominations_top_star':'total_oscar_nominations_top_star_2'})\n", "\n" ] }, { "cell_type": "code", "execution_count": 110, "id": "1ce2e1d8", "metadata": {}, "outputs": [], "source": [ "movies_df_v6 = pd.merge(movies_df_v5, number_of_oscar_wins_per_star_2, how='left', on='top_star_2')" ] }, { "cell_type": "code", "execution_count": 111, "id": "722a1410", "metadata": {}, "outputs": [], "source": [ "movies_df_v7 = pd.merge(movies_df_v6, number_of_oscar_nominations_per_star_2, how='left', on='top_star_2')" ] }, { "cell_type": "code", "execution_count": null, "id": "45f97124", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 112, "id": "b6c61f3d", "metadata": {}, "outputs": [], "source": [ "# top_star_3" ] }, { "cell_type": "code", "execution_count": 113, "id": "8831e912", "metadata": {}, "outputs": [], "source": [ "number_of_oscar_wins_per_star_3 = number_of_oscar_wins_per_star.copy()\n", "\n", "number_of_oscar_wins_per_star_3 = number_of_oscar_wins_per_star_3.rename(columns={'top_star':'top_star_3',\n", " 'total_oscar_wins_top_star':'total_oscar_wins_top_star_3'})\n", "\n", "number_of_oscar_nominations_per_star_3 = number_of_oscar_nominations_per_star.copy()\n", "\n", "number_of_oscar_nominations_per_star_3 = number_of_oscar_nominations_per_star_3.rename(columns={'top_star':'top_star_3',\n", " 'total_oscar_nominations_top_star':'total_oscar_nominations_top_star_3'})\n", "\n" ] }, { "cell_type": "code", "execution_count": 114, "id": "5ca30d00", "metadata": {}, "outputs": [], "source": [ "movies_df_v8 = pd.merge(movies_df_v7, number_of_oscar_wins_per_star_3, how='left', on='top_star_3')" ] }, { "cell_type": "code", "execution_count": 115, "id": "d266afcc", "metadata": {}, "outputs": [], "source": [ "movies_df_v9 = pd.merge(movies_df_v8, number_of_oscar_nominations_per_star_3, how='left', on='top_star_3')" ] }, { "cell_type": "code", "execution_count": 116, "id": "061ed5d0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_datecountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usdtotal_award_nominationstotal_award_winsprimary_genresecondary_genrerelease_weekdayrelease_monthoscar_winoscar_nominationtotal_oscar_wins_top_star_1total_oscar_nominations_top_star_1total_oscar_wins_top_star_2total_oscar_nominations_top_star_2total_oscar_wins_top_star_3total_oscar_nominations_top_star_3
0Spider-Man: No Way Homett10872600https://www.imdb.com/title/tt10872600/?ref_=ad...+13/14148.0Action, Adventure, Fantasy8.373908671.0Jon Watts2021https://www.imdb.com/title/tt10872600/awards/?...Showing all 34 wins and 66 nominationsChris McKennaTom HollandZendayaBenedict Cumberbatch6100.0412.02021-12-17United StatesColumbia Pictures200000000.0260138569.0814115070.01.916279e+0966.034.0ActionAdventure512.0NNNaNNaNNaNNaNNaN2.0
1Dunett1160419https://www.imdb.com/title/tt1160419/?ref_=adv...+13/14155.0Action, Adventure, Drama8.062106974.0Denis Villeneuve2021https://www.imdb.com/title/tt1160419/awards/?r...Showing all 164 wins and 280 nominationsJon SpaihtsTimothée ChalametRebecca FergusonZendaya5600.0509.02021-10-22CanadaWarner Bros.165000000.041011174.0108327830.04.018479e+08280.0164.0ActionAdventure510.0NYNaNNaNNaNNaNNaNNaN
2Don't Look Uptt11286314https://www.imdb.com/title/tt11286314/?ref_=ad...Adult138.0Comedy, Drama, Sci-Fi7.252998149.0Adam McKay2021https://www.imdb.com/title/tt11286314/awards/?...Showing all 19 wins and 88 nominationsAdam McKayLeonardo DiCaprioJennifer LawrenceMeryl Streep4600.0309.02021-12-24United StatesHyperobject Industries75000000.0NaN791863.0NaN88.019.0ComedyDrama512.0NY1.06.01.04.03.021.0
3No Time to Diett2382320https://www.imdb.com/title/tt2382320/?ref_=adv...+13/14163.0Action, Adventure, Thriller7.339393068.0Cary Joji Fukunaga2021https://www.imdb.com/title/tt2382320/awards/?r...Showing all 35 wins and 69 nominationsNeal PurvisDaniel CraigAna de ArmasRami Malek4100.0449.02021-10-08United KingdomMetro-Goldwyn-Mayer (MGM)250000000.055225007.0160891007.07.741530e+0869.035.0ActionAdventure510.0NNNaNNaNNaNNaN1.01.0
4Zack Snyder's Justice Leaguett12361974https://www.imdb.com/title/tt12361974/?ref_=ad...Adult242.0Action, Adventure, Fantasy8.039350454.0Zack Snyder2021https://www.imdb.com/title/tt12361974/awards/?...Showing all 1 win and 6 nominationsJerry SiegelHenry CavillBen AffleckGal Gadot8000.0308.02021-03-18United StatesAtlas Entertainment300000000.0NaNNaNNaN6.01.0ActionAdventure43.0NNNaNNaNNaNNaNNaNNaN
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" ], "text/plain": [ " title movie_id \\\n", "0 Spider-Man: No Way Home tt10872600 \n", "1 Dune tt1160419 \n", "2 Don't Look Up tt11286314 \n", "3 No Time to Die tt2382320 \n", "4 Zack Snyder's Justice League tt12361974 \n", "\n", " movie_imdb_link certificate \\\n", "0 https://www.imdb.com/title/tt10872600/?ref_=ad... +13/14 \n", "1 https://www.imdb.com/title/tt1160419/?ref_=adv... +13/14 \n", "2 https://www.imdb.com/title/tt11286314/?ref_=ad... Adult \n", "3 https://www.imdb.com/title/tt2382320/?ref_=adv... +13/14 \n", "4 https://www.imdb.com/title/tt12361974/?ref_=ad... Adult \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "0 148.0 Action, Adventure, Fantasy 8.3 739086 \n", "1 155.0 Action, Adventure, Drama 8.0 621069 \n", "2 138.0 Comedy, Drama, Sci-Fi 7.2 529981 \n", "3 163.0 Action, Adventure, Thriller 7.3 393930 \n", "4 242.0 Action, Adventure, Fantasy 8.0 393504 \n", "\n", " metascore top_director release_year \\\n", "0 71.0 Jon Watts 2021 \n", "1 74.0 Denis Villeneuve 2021 \n", "2 49.0 Adam McKay 2021 \n", "3 68.0 Cary Joji Fukunaga 2021 \n", "4 54.0 Zack Snyder 2021 \n", "\n", " awards_link \\\n", "0 https://www.imdb.com/title/tt10872600/awards/?... \n", "1 https://www.imdb.com/title/tt1160419/awards/?r... \n", "2 https://www.imdb.com/title/tt11286314/awards/?... \n", "3 https://www.imdb.com/title/tt2382320/awards/?r... \n", "4 https://www.imdb.com/title/tt12361974/awards/?... \n", "\n", " awards_total top_writer top_star_1 \\\n", "0 Showing all 34 wins and 66 nominations Chris McKenna Tom Holland \n", "1 Showing all 164 wins and 280 nominations Jon Spaihts Timothée Chalamet \n", "2 Showing all 19 wins and 88 nominations Adam McKay Leonardo DiCaprio \n", "3 Showing all 35 wins and 69 nominations Neal Purvis Daniel Craig \n", "4 Showing all 1 win and 6 nominations Jerry Siegel Henry Cavill \n", "\n", " top_star_2 top_star_3 num_user_reviews \\\n", "0 Zendaya Benedict Cumberbatch 6100.0 \n", "1 Rebecca Ferguson Zendaya 5600.0 \n", "2 Jennifer Lawrence Meryl Streep 4600.0 \n", "3 Ana de Armas Rami Malek 4100.0 \n", "4 Ben Affleck Gal Gadot 8000.0 \n", "\n", " num_critic_reviews release_date country_of_origin \\\n", "0 412.0 2021-12-17 United States \n", "1 509.0 2021-10-22 Canada \n", "2 309.0 2021-12-24 United States \n", "3 449.0 2021-10-08 United Kingdom \n", "4 308.0 2021-03-18 United States \n", "\n", " top_production_company budget_in_usd opening_weekend_us_can_in_usd \\\n", "0 Columbia Pictures 200000000.0 260138569.0 \n", "1 Warner Bros. 165000000.0 41011174.0 \n", "2 Hyperobject Industries 75000000.0 NaN \n", "3 Metro-Goldwyn-Mayer (MGM) 250000000.0 55225007.0 \n", "4 Atlas Entertainment 300000000.0 NaN \n", "\n", " gross_us_can_in_usd gross_worldwide_in_usd total_award_nominations \\\n", "0 814115070.0 1.916279e+09 66.0 \n", "1 108327830.0 4.018479e+08 280.0 \n", "2 791863.0 NaN 88.0 \n", "3 160891007.0 7.741530e+08 69.0 \n", "4 NaN NaN 6.0 \n", "\n", " total_award_wins primary_genre secondary_genre release_weekday \\\n", "0 34.0 Action Adventure 5 \n", "1 164.0 Action Adventure 5 \n", "2 19.0 Comedy Drama 5 \n", "3 35.0 Action Adventure 5 \n", "4 1.0 Action Adventure 4 \n", "\n", " release_month oscar_win oscar_nomination total_oscar_wins_top_star_1 \\\n", "0 12.0 N N NaN \n", "1 10.0 N Y NaN \n", "2 12.0 N Y 1.0 \n", "3 10.0 N N NaN \n", "4 3.0 N N NaN \n", "\n", " total_oscar_nominations_top_star_1 total_oscar_wins_top_star_2 \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 6.0 1.0 \n", "3 NaN NaN \n", "4 NaN NaN \n", "\n", " total_oscar_nominations_top_star_2 total_oscar_wins_top_star_3 \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 4.0 3.0 \n", "3 NaN 1.0 \n", "4 NaN NaN \n", "\n", " total_oscar_nominations_top_star_3 \n", "0 2.0 \n", "1 NaN \n", "2 21.0 \n", "3 1.0 \n", "4 NaN " ] }, "execution_count": 116, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v9.head()" ] }, { "cell_type": "code", "execution_count": 117, "id": "73b01e2a", "metadata": {}, "outputs": [], "source": [ "#movies_df_v9.isna().sum()" ] }, { "cell_type": "code", "execution_count": 118, "id": "1779279d", "metadata": {}, "outputs": [], "source": [ "columns_v9 = ['total_oscar_wins_top_star_1', 'total_oscar_nominations_top_star_1', 'total_oscar_wins_top_star_2', \n", " 'total_oscar_nominations_top_star_2', 'total_oscar_wins_top_star_3', 'total_oscar_nominations_top_star_3']\n", "\n", "movies_df_v9[columns_v9] = movies_df_v9[columns_v9].fillna(value=0)\n", "\n" ] }, { "cell_type": "code", "execution_count": 119, "id": "f95dd8ca", "metadata": {}, "outputs": [], "source": [ "#movies_df_v9.isna().sum()" ] }, { "cell_type": "code", "execution_count": 120, "id": "90fbcf15", "metadata": {}, "outputs": [], "source": [ "columns_for_win_sum = ['total_oscar_wins_top_star_1', 'total_oscar_wins_top_star_2','total_oscar_wins_top_star_3']\n", "\n", "columns_for_nomi_sum = ['total_oscar_nominations_top_star_1', 'total_oscar_nominations_top_star_2',\n", " 'total_oscar_nominations_top_star_3']\n", "\n", "\n", "movies_df_v9['summed_oscar_wins_stars']= movies_df_v9[columns_for_win_sum].sum(axis=1)\n", "movies_df_v9['summed_oscar_nominations_stars']= movies_df_v9[columns_for_nomi_sum].sum(axis=1)" ] }, { "cell_type": "code", "execution_count": 121, "id": "1a5067c4", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_datecountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usdtotal_award_nominationstotal_award_winsprimary_genresecondary_genrerelease_weekdayrelease_monthoscar_winoscar_nominationtotal_oscar_wins_top_star_1total_oscar_nominations_top_star_1total_oscar_wins_top_star_2total_oscar_nominations_top_star_2total_oscar_wins_top_star_3total_oscar_nominations_top_star_3summed_oscar_wins_starssummed_oscar_nominations_stars
0Spider-Man: No Way Homett10872600https://www.imdb.com/title/tt10872600/?ref_=ad...+13/14148.0Action, Adventure, Fantasy8.373908671.0Jon Watts2021https://www.imdb.com/title/tt10872600/awards/?...Showing all 34 wins and 66 nominationsChris McKennaTom HollandZendayaBenedict Cumberbatch6100.0412.02021-12-17United StatesColumbia Pictures200000000.0260138569.0814115070.01.916279e+0966.034.0ActionAdventure512.0NN0.00.00.00.00.02.00.02.0
1Dunett1160419https://www.imdb.com/title/tt1160419/?ref_=adv...+13/14155.0Action, Adventure, Drama8.062106974.0Denis Villeneuve2021https://www.imdb.com/title/tt1160419/awards/?r...Showing all 164 wins and 280 nominationsJon SpaihtsTimothée ChalametRebecca FergusonZendaya5600.0509.02021-10-22CanadaWarner Bros.165000000.041011174.0108327830.04.018479e+08280.0164.0ActionAdventure510.0NY0.00.00.00.00.00.00.00.0
2Don't Look Uptt11286314https://www.imdb.com/title/tt11286314/?ref_=ad...Adult138.0Comedy, Drama, Sci-Fi7.252998149.0Adam McKay2021https://www.imdb.com/title/tt11286314/awards/?...Showing all 19 wins and 88 nominationsAdam McKayLeonardo DiCaprioJennifer LawrenceMeryl Streep4600.0309.02021-12-24United StatesHyperobject Industries75000000.0NaN791863.0NaN88.019.0ComedyDrama512.0NY1.06.01.04.03.021.05.031.0
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" ], "text/plain": [ " title movie_id \\\n", "0 Spider-Man: No Way Home tt10872600 \n", "1 Dune tt1160419 \n", "2 Don't Look Up tt11286314 \n", "\n", " movie_imdb_link certificate \\\n", "0 https://www.imdb.com/title/tt10872600/?ref_=ad... +13/14 \n", "1 https://www.imdb.com/title/tt1160419/?ref_=adv... +13/14 \n", "2 https://www.imdb.com/title/tt11286314/?ref_=ad... Adult \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "0 148.0 Action, Adventure, Fantasy 8.3 739086 \n", "1 155.0 Action, Adventure, Drama 8.0 621069 \n", "2 138.0 Comedy, Drama, Sci-Fi 7.2 529981 \n", "\n", " metascore top_director release_year \\\n", "0 71.0 Jon Watts 2021 \n", "1 74.0 Denis Villeneuve 2021 \n", "2 49.0 Adam McKay 2021 \n", "\n", " awards_link \\\n", "0 https://www.imdb.com/title/tt10872600/awards/?... \n", "1 https://www.imdb.com/title/tt1160419/awards/?r... \n", "2 https://www.imdb.com/title/tt11286314/awards/?... \n", "\n", " awards_total top_writer top_star_1 \\\n", "0 Showing all 34 wins and 66 nominations Chris McKenna Tom Holland \n", "1 Showing all 164 wins and 280 nominations Jon Spaihts Timothée Chalamet \n", "2 Showing all 19 wins and 88 nominations Adam McKay Leonardo DiCaprio \n", "\n", " top_star_2 top_star_3 num_user_reviews \\\n", "0 Zendaya Benedict Cumberbatch 6100.0 \n", "1 Rebecca Ferguson Zendaya 5600.0 \n", "2 Jennifer Lawrence Meryl Streep 4600.0 \n", "\n", " num_critic_reviews release_date country_of_origin top_production_company \\\n", "0 412.0 2021-12-17 United States Columbia Pictures \n", "1 509.0 2021-10-22 Canada Warner Bros. \n", "2 309.0 2021-12-24 United States Hyperobject Industries \n", "\n", " budget_in_usd opening_weekend_us_can_in_usd gross_us_can_in_usd \\\n", "0 200000000.0 260138569.0 814115070.0 \n", "1 165000000.0 41011174.0 108327830.0 \n", "2 75000000.0 NaN 791863.0 \n", "\n", " gross_worldwide_in_usd total_award_nominations total_award_wins \\\n", "0 1.916279e+09 66.0 34.0 \n", "1 4.018479e+08 280.0 164.0 \n", "2 NaN 88.0 19.0 \n", "\n", " primary_genre secondary_genre release_weekday release_month oscar_win \\\n", "0 Action Adventure 5 12.0 N \n", "1 Action Adventure 5 10.0 N \n", "2 Comedy Drama 5 12.0 N \n", "\n", " oscar_nomination total_oscar_wins_top_star_1 \\\n", "0 N 0.0 \n", "1 Y 0.0 \n", "2 Y 1.0 \n", "\n", " total_oscar_nominations_top_star_1 total_oscar_wins_top_star_2 \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "2 6.0 1.0 \n", "\n", " total_oscar_nominations_top_star_2 total_oscar_wins_top_star_3 \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "2 4.0 3.0 \n", "\n", " total_oscar_nominations_top_star_3 summed_oscar_wins_stars \\\n", "0 2.0 0.0 \n", "1 0.0 0.0 \n", "2 21.0 5.0 \n", "\n", " summed_oscar_nominations_stars \n", "0 2.0 \n", "1 0.0 \n", "2 31.0 " ] }, "execution_count": 121, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v9.head(3)" ] }, { "cell_type": "code", "execution_count": 122, "id": "32bdbc9c", "metadata": {}, "outputs": [], "source": [ "movies_df_v9_copy =movies_df_v9.copy()" ] }, { "cell_type": "code", "execution_count": 123, "id": "84e85fe0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(6344, 42)" ] }, "execution_count": 123, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v9_copy.shape" ] }, { "cell_type": "code", "execution_count": 124, "id": "9860e9ad", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/2789494782.py:7: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['stars_own_or_won_an_oscar_before_or_after'][i] = 'N'\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/2789494782.py:10: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['stars_own_or_won_an_oscar_before_or_after'][i] = 'Y'\n" ] } ], "source": [ "def owns_any_oscars(df):\n", "\n", " df['stars_own_or_won_an_oscar_before_or_after'] = '' #creating an empty column\n", " \n", " for i in df.index:\n", " if df['summed_oscar_wins_stars'][i] == 0:\n", " df['stars_own_or_won_an_oscar_before_or_after'][i] = 'N' \n", " \n", " else:\n", " df['stars_own_or_won_an_oscar_before_or_after'][i] = 'Y'\n", " \n", " return df\n", "\n", "movies_df_v9_added = owns_any_oscars(movies_df_v9_copy)" ] }, { "cell_type": "code", "execution_count": 125, "id": "6bad7fd6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "N 5812\n", "Y 532\n", "Name: stars_own_or_won_an_oscar_before_or_after, dtype: int64" ] }, "execution_count": 125, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v9_added['stars_own_or_won_an_oscar_before_or_after'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 126, "id": "84358ab6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(6344, 43)" ] }, "execution_count": 126, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v9_added.shape" ] }, { "cell_type": "markdown", "id": "7c8ecba5", "metadata": {}, "source": [ "## Top director" ] }, { "cell_type": "code", "execution_count": 127, "id": "6e1537ac", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Poster_LinkSeries_TitleReleased_YearCertificateRuntimeGenreIMDB_RatingOverviewMeta_scoreDirectorStar1Star2Star3Star4No_of_VotesGross
0https://m.media-amazon.com/images/M/MV5BMDFkYT...The Shawshank Redemption1994A142 minDrama9.3Two imprisoned men bond over a number of years...80.0Frank DarabontTim RobbinsMorgan FreemanBob GuntonWilliam Sadler234311028341469
1https://m.media-amazon.com/images/M/MV5BM2MyNj...The Godfather1972A175 minCrime9.2An organized crime dynasty's aging patriarch t...100.0Francis Ford CoppolaMarlon BrandoAl PacinoJames CaanDiane Keaton1620367134966411
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" ], "text/plain": [ " Poster_Link \\\n", "0 https://m.media-amazon.com/images/M/MV5BMDFkYT... \n", "1 https://m.media-amazon.com/images/M/MV5BM2MyNj... \n", "\n", " Series_Title Released_Year Certificate Runtime Genre \\\n", "0 The Shawshank Redemption 1994 A 142 min Drama \n", "1 The Godfather 1972 A 175 min Crime \n", "\n", " IMDB_Rating Overview Meta_score \\\n", "0 9.3 Two imprisoned men bond over a number of years... 80.0 \n", "1 9.2 An organized crime dynasty's aging patriarch t... 100.0 \n", "\n", " Director Star1 Star2 Star3 \\\n", "0 Frank Darabont Tim Robbins Morgan Freeman Bob Gunton \n", "1 Francis Ford Coppola Marlon Brando Al Pacino James Caan \n", "\n", " Star4 No_of_Votes Gross \n", "0 William Sadler 2343110 28341469 \n", "1 Diane Keaton 1620367 134966411 " ] }, "execution_count": 127, "metadata": {}, "output_type": "execute_result" } ], "source": [ "top_1000_movies.head(2)" ] }, { "cell_type": "code", "execution_count": 128, "id": "df1da344", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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count
CertificateGenreGrossIMDB_RatingMeta_scoreNo_of_VotesOverviewPoster_LinkReleased_YearRuntimeSeries_TitleStar1Star2Star3Star4
Director
Aamir Khan111101111111111
Aaron Sorkin111111111111111
Abdellatif Kechiche111111111111111
Abhishek Chaubey111101111111111
Abhishek Kapoor111111111111111
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" ], "text/plain": [ " count \\\n", " Certificate Genre Gross IMDB_Rating Meta_score \n", "Director \n", "Aamir Khan 1 1 1 1 0 \n", "Aaron Sorkin 1 1 1 1 1 \n", "Abdellatif Kechiche 1 1 1 1 1 \n", "Abhishek Chaubey 1 1 1 1 0 \n", "Abhishek Kapoor 1 1 1 1 1 \n", "\n", " \\\n", " No_of_Votes Overview Poster_Link Released_Year Runtime \n", "Director \n", "Aamir Khan 1 1 1 1 1 \n", "Aaron Sorkin 1 1 1 1 1 \n", "Abdellatif Kechiche 1 1 1 1 1 \n", "Abhishek Chaubey 1 1 1 1 1 \n", "Abhishek Kapoor 1 1 1 1 1 \n", "\n", " \n", " Series_Title Star1 Star2 Star3 Star4 \n", "Director \n", "Aamir Khan 1 1 1 1 1 \n", "Aaron Sorkin 1 1 1 1 1 \n", "Abdellatif Kechiche 1 1 1 1 1 \n", "Abhishek Chaubey 1 1 1 1 1 \n", "Abhishek Kapoor 1 1 1 1 1 " ] }, "execution_count": 128, "metadata": {}, "output_type": "execute_result" } ], "source": [ "top_1000_movies_copy = top_1000_movies.copy()\n", "best_directors =top_1000_movies_copy.pivot_table(index= ['Director'], aggfunc = ['count'])\n", "best_directors.head()" ] }, { "cell_type": "code", "execution_count": 129, "id": "7630b323", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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2Abdellatif Kechiche111111111111111
3Abhishek Chaubey111101111111111
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" ], "text/plain": [ " Director Certificate Genre Gross IMDB_Rating Meta_score \\\n", "0 Aamir Khan 1 1 1 1 0 \n", "1 Aaron Sorkin 1 1 1 1 1 \n", "2 Abdellatif Kechiche 1 1 1 1 1 \n", "3 Abhishek Chaubey 1 1 1 1 0 \n", "4 Abhishek Kapoor 1 1 1 1 1 \n", "\n", " No_of_Votes Overview Poster_Link Released_Year Runtime Series_Title \\\n", "0 1 1 1 1 1 1 \n", "1 1 1 1 1 1 1 \n", "2 1 1 1 1 1 1 \n", "3 1 1 1 1 1 1 \n", "4 1 1 1 1 1 1 \n", "\n", " Star1 Star2 Star3 Star4 \n", "0 1 1 1 1 \n", "1 1 1 1 1 \n", "2 1 1 1 1 \n", "3 1 1 1 1 \n", "4 1 1 1 1 " ] }, "execution_count": 129, "metadata": {}, "output_type": "execute_result" } ], "source": [ "best_directors.columns = best_directors.columns.droplevel(0)\n", "best_directors = best_directors.reset_index().rename_axis(None, axis=1)\n", "best_directors.head()" ] }, { "cell_type": "code", "execution_count": 130, "id": "8ca38bdf", "metadata": {}, "outputs": [], "source": [ "best_directors = best_directors.drop(['Genre', 'Gross', 'IMDB_Rating',\n", " 'Meta_score', 'No_of_Votes', 'Overview', 'Poster_Link', 'Released_Year',\n", " 'Runtime', 'Series_Title', 'Star1', 'Star2', 'Star3', 'Star4'], axis=1)\n", "\n", "best_directors = best_directors.rename(columns={'Director':'top_director',\n", " 'Certificate':'is_among_best_director'})\n", "\n", "best_directors['is_among_best_director'] = 'Y'" ] }, { "cell_type": "code", "execution_count": 131, "id": "28e1e4f3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(548, 2)" ] }, "execution_count": 131, "metadata": {}, "output_type": "execute_result" } ], "source": [ "best_directors.shape\n" ] }, { "cell_type": "code", "execution_count": 132, "id": "913f1fc8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(6344, 43)" ] }, "execution_count": 132, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v9_added.shape" ] }, { "cell_type": "code", "execution_count": 133, "id": "9f4cce7e", "metadata": {}, "outputs": [], "source": [ "movies_df_v10 = pd.merge(movies_df_v9_added, best_directors, how='left', on='top_director')" ] }, { "cell_type": "code", "execution_count": 134, "id": "a8af798d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_datecountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usdtotal_award_nominationstotal_award_winsprimary_genresecondary_genrerelease_weekdayrelease_monthoscar_winoscar_nominationtotal_oscar_wins_top_star_1total_oscar_nominations_top_star_1total_oscar_wins_top_star_2total_oscar_nominations_top_star_2total_oscar_wins_top_star_3total_oscar_nominations_top_star_3summed_oscar_wins_starssummed_oscar_nominations_starsstars_own_or_won_an_oscar_before_or_afteris_among_best_director
0Spider-Man: No Way Homett10872600https://www.imdb.com/title/tt10872600/?ref_=ad...+13/14148.0Action, Adventure, Fantasy8.373908671.0Jon Watts2021https://www.imdb.com/title/tt10872600/awards/?...Showing all 34 wins and 66 nominationsChris McKennaTom HollandZendayaBenedict Cumberbatch6100.0412.02021-12-17United StatesColumbia Pictures200000000.0260138569.0814115070.01.916279e+0966.034.0ActionAdventure512.0NN0.00.00.00.00.02.00.02.0NNaN
1Dunett1160419https://www.imdb.com/title/tt1160419/?ref_=adv...+13/14155.0Action, Adventure, Drama8.062106974.0Denis Villeneuve2021https://www.imdb.com/title/tt1160419/awards/?r...Showing all 164 wins and 280 nominationsJon SpaihtsTimothée ChalametRebecca FergusonZendaya5600.0509.02021-10-22CanadaWarner Bros.165000000.041011174.0108327830.04.018479e+08280.0164.0ActionAdventure510.0NY0.00.00.00.00.00.00.00.0NY
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" ], "text/plain": [ " title movie_id \\\n", "0 Spider-Man: No Way Home tt10872600 \n", "1 Dune tt1160419 \n", "\n", " movie_imdb_link certificate \\\n", "0 https://www.imdb.com/title/tt10872600/?ref_=ad... +13/14 \n", "1 https://www.imdb.com/title/tt1160419/?ref_=adv... +13/14 \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "0 148.0 Action, Adventure, Fantasy 8.3 739086 \n", "1 155.0 Action, Adventure, Drama 8.0 621069 \n", "\n", " metascore top_director release_year \\\n", "0 71.0 Jon Watts 2021 \n", "1 74.0 Denis Villeneuve 2021 \n", "\n", " awards_link \\\n", "0 https://www.imdb.com/title/tt10872600/awards/?... \n", "1 https://www.imdb.com/title/tt1160419/awards/?r... \n", "\n", " awards_total top_writer top_star_1 \\\n", "0 Showing all 34 wins and 66 nominations Chris McKenna Tom Holland \n", "1 Showing all 164 wins and 280 nominations Jon Spaihts Timothée Chalamet \n", "\n", " top_star_2 top_star_3 num_user_reviews \\\n", "0 Zendaya Benedict Cumberbatch 6100.0 \n", "1 Rebecca Ferguson Zendaya 5600.0 \n", "\n", " num_critic_reviews release_date country_of_origin top_production_company \\\n", "0 412.0 2021-12-17 United States Columbia Pictures \n", "1 509.0 2021-10-22 Canada Warner Bros. \n", "\n", " budget_in_usd opening_weekend_us_can_in_usd gross_us_can_in_usd \\\n", "0 200000000.0 260138569.0 814115070.0 \n", "1 165000000.0 41011174.0 108327830.0 \n", "\n", " gross_worldwide_in_usd total_award_nominations total_award_wins \\\n", "0 1.916279e+09 66.0 34.0 \n", "1 4.018479e+08 280.0 164.0 \n", "\n", " primary_genre secondary_genre release_weekday release_month oscar_win \\\n", "0 Action Adventure 5 12.0 N \n", "1 Action Adventure 5 10.0 N \n", "\n", " oscar_nomination total_oscar_wins_top_star_1 \\\n", "0 N 0.0 \n", "1 Y 0.0 \n", "\n", " total_oscar_nominations_top_star_1 total_oscar_wins_top_star_2 \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "\n", " total_oscar_nominations_top_star_2 total_oscar_wins_top_star_3 \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "\n", " total_oscar_nominations_top_star_3 summed_oscar_wins_stars \\\n", "0 2.0 0.0 \n", "1 0.0 0.0 \n", "\n", " summed_oscar_nominations_stars stars_own_or_won_an_oscar_before_or_after \\\n", "0 2.0 N \n", "1 0.0 N \n", "\n", " is_among_best_director \n", "0 NaN \n", "1 Y " ] }, "execution_count": 134, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v10.head(2)" ] }, { "cell_type": "code", "execution_count": 135, "id": "9a99cf50", "metadata": {}, "outputs": [], "source": [ "movies_df_v10['is_among_best_director']=movies_df_v10['is_among_best_director'].fillna('N')" ] }, { "cell_type": "code", "execution_count": 136, "id": "b322a88e", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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0Spider-Man: No Way Homett10872600https://www.imdb.com/title/tt10872600/?ref_=ad...+13/14148.0Action, Adventure, Fantasy8.373908671.0Jon Watts2021https://www.imdb.com/title/tt10872600/awards/?...Showing all 34 wins and 66 nominationsChris McKennaTom HollandZendayaBenedict Cumberbatch6100.0412.02021-12-17United StatesColumbia Pictures200000000.0260138569.0814115070.01.916279e+0966.034.0ActionAdventure512.0NN0.00.00.00.00.02.00.02.0NN
1Dunett1160419https://www.imdb.com/title/tt1160419/?ref_=adv...+13/14155.0Action, Adventure, Drama8.062106974.0Denis Villeneuve2021https://www.imdb.com/title/tt1160419/awards/?r...Showing all 164 wins and 280 nominationsJon SpaihtsTimothée ChalametRebecca FergusonZendaya5600.0509.02021-10-22CanadaWarner Bros.165000000.041011174.0108327830.04.018479e+08280.0164.0ActionAdventure510.0NY0.00.00.00.00.00.00.00.0NY
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" ], "text/plain": [ " title movie_id \\\n", "0 Spider-Man: No Way Home tt10872600 \n", "1 Dune tt1160419 \n", "\n", " movie_imdb_link certificate \\\n", "0 https://www.imdb.com/title/tt10872600/?ref_=ad... +13/14 \n", "1 https://www.imdb.com/title/tt1160419/?ref_=adv... +13/14 \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "0 148.0 Action, Adventure, Fantasy 8.3 739086 \n", "1 155.0 Action, Adventure, Drama 8.0 621069 \n", "\n", " metascore top_director release_year \\\n", "0 71.0 Jon Watts 2021 \n", "1 74.0 Denis Villeneuve 2021 \n", "\n", " awards_link \\\n", "0 https://www.imdb.com/title/tt10872600/awards/?... \n", "1 https://www.imdb.com/title/tt1160419/awards/?r... \n", "\n", " awards_total top_writer top_star_1 \\\n", "0 Showing all 34 wins and 66 nominations Chris McKenna Tom Holland \n", "1 Showing all 164 wins and 280 nominations Jon Spaihts Timothée Chalamet \n", "\n", " top_star_2 top_star_3 num_user_reviews \\\n", "0 Zendaya Benedict Cumberbatch 6100.0 \n", "1 Rebecca Ferguson Zendaya 5600.0 \n", "\n", " num_critic_reviews release_date country_of_origin top_production_company \\\n", "0 412.0 2021-12-17 United States Columbia Pictures \n", "1 509.0 2021-10-22 Canada Warner Bros. \n", "\n", " budget_in_usd opening_weekend_us_can_in_usd gross_us_can_in_usd \\\n", "0 200000000.0 260138569.0 814115070.0 \n", "1 165000000.0 41011174.0 108327830.0 \n", "\n", " gross_worldwide_in_usd total_award_nominations total_award_wins \\\n", "0 1.916279e+09 66.0 34.0 \n", "1 4.018479e+08 280.0 164.0 \n", "\n", " primary_genre secondary_genre release_weekday release_month oscar_win \\\n", "0 Action Adventure 5 12.0 N \n", "1 Action Adventure 5 10.0 N \n", "\n", " oscar_nomination total_oscar_wins_top_star_1 \\\n", "0 N 0.0 \n", "1 Y 0.0 \n", "\n", " total_oscar_nominations_top_star_1 total_oscar_wins_top_star_2 \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "\n", " total_oscar_nominations_top_star_2 total_oscar_wins_top_star_3 \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "\n", " total_oscar_nominations_top_star_3 summed_oscar_wins_stars \\\n", "0 2.0 0.0 \n", "1 0.0 0.0 \n", "\n", " summed_oscar_nominations_stars stars_own_or_won_an_oscar_before_or_after \\\n", "0 2.0 N \n", "1 0.0 N \n", "\n", " is_among_best_director \n", "0 N \n", "1 Y " ] }, "execution_count": 136, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v10.head(2)" ] }, { "cell_type": "code", "execution_count": 137, "id": "aa17d54c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "title object\n", "movie_id object\n", "movie_imdb_link object\n", "certificate object\n", "runtime_in_mins float64\n", "genre object\n", "imdb_rating float64\n", "number_of_votes int64\n", "metascore float64\n", "top_director object\n", "release_year object\n", "awards_link object\n", "awards_total object\n", "top_writer object\n", "top_star_1 object\n", "top_star_2 object\n", "top_star_3 object\n", "num_user_reviews float64\n", "num_critic_reviews float64\n", "release_date datetime64[ns]\n", "country_of_origin object\n", "top_production_company object\n", "budget_in_usd float64\n", "opening_weekend_us_can_in_usd float64\n", "gross_us_can_in_usd float64\n", "gross_worldwide_in_usd float64\n", "total_award_nominations float64\n", "total_award_wins float64\n", "primary_genre object\n", "secondary_genre object\n", "release_weekday object\n", "release_month object\n", "oscar_win object\n", "oscar_nomination object\n", "total_oscar_wins_top_star_1 float64\n", "total_oscar_nominations_top_star_1 float64\n", "total_oscar_wins_top_star_2 float64\n", "total_oscar_nominations_top_star_2 float64\n", "total_oscar_wins_top_star_3 float64\n", "total_oscar_nominations_top_star_3 float64\n", "summed_oscar_wins_stars float64\n", "summed_oscar_nominations_stars float64\n", "stars_own_or_won_an_oscar_before_or_after object\n", "is_among_best_director object\n", "dtype: object" ] }, "execution_count": 137, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v10.dtypes" ] }, { "cell_type": "code", "execution_count": 138, "id": "6e19c9b9", "metadata": {}, "outputs": [], "source": [ "movies_df_v10.to_csv('movies_untreated_for_NaNs.csv')\n" ] }, { "cell_type": "markdown", "id": "c14638a2", "metadata": {}, "source": [ "# Outlier detection & removal" ] }, { "cell_type": "code", "execution_count": 139, "id": "73b34f0a", "metadata": {}, "outputs": [], "source": [ "def plot_boxplot(df): \n", " for column in df.columns:\n", " sns.boxplot(y=df[column])\n", " plt.show()\n", " return None\n" ] }, { "cell_type": "code", "execution_count": 140, "id": "13b13cab", "metadata": {}, "outputs": [], "source": [ "box_df=movies_df_v10[['runtime_in_mins', 'imdb_rating', 'number_of_votes', 'metascore',\n", " 'num_user_reviews', 'num_critic_reviews', 'budget_in_usd',\n", " 'opening_weekend_us_can_in_usd', 'gross_us_can_in_usd',\n", " 'gross_worldwide_in_usd']]" ] }, { "cell_type": "code", "execution_count": 141, "id": "c9944498", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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SpQC8EZiqqm8CJPkMcBFgKeiYsmzZMm666aauY0hzNmqHj1YB35q1vLs3JkkaglErhRxmrJ63QXJVkskkk9PT00OKJUmLw6iVwm7gVbOWzwQem71BVW2pqvGqGl++fPlQw0nS8W7USuFLwNokZyd5OXApsK3jTJK0aOS5Ky9HRZILgA8BY8BHq+r6F9l2GnhkSNGkuTod+E7XIaTD+NmqOuyhlpErBel4kWSyqsa7ziHNxagdPpIkdchSkCQ1loI0OFu6DiDNlecUJEmNewqSpMZSkCQ1loIkqbEUJEmNpSBJav4fKoq8iBtfcdYAAAAASUVORK5CYII=\n", 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\n", 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\n", 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+nn7uH64UES/nEaBZWaxcuXJU2TOQrUzGTQYRcWxEvAv4PnBeREyKiA6SeQfV5g2YHZDGzji+++67C4rELLss7wx+JyJWDxciYg1wZuNDMiunSZMm1SybtbIsQ0tfknQ18H9JhpH+EeCtnMxSw7uc7a1s1sqytAwuBSYD/wB8B3hnes7MzEqu7pZB+oL4qhxjMSu1qVOnsmnTplFls7LIstPZe4D/RrKhzRv3RcRZjQ/LrHwGBwdrls1aWZZ3Bt8ClgF/Q7LTmZmNMG/evFHDS88+++wCozHLJss7g0pE3BQRP4mI/uEjt8jMSqa7u5u2tuSfVFtbm5ewtlLJkgxWSbpc0tS9zEA2M7OSypIMuoFPAf9MMvN4eGaymQE9PT2jWgYrVqwoOCKz+mXZ3ObYKkfdeyCbvdWtW7eOSiXZ86lSqXgPZCuVLHsgHyrpaknL0/Jxks7NLzSzcvEeyFZmWbqJvgG8BnwgLW8CPt/wiMxKqru7+409DCT5BbKVSpZk8O6IuB54HSAiduM9DMze0NHRwUEHHQTAQQcdREdHR8ERmdUvSzJ4TdIhpNtbSno38KtcojIroYGBAXbs2AHAjh07GBgYKDgis/plSQZLgF5ghqS/Be4BPl3rBkk3S3pR0mN7uT5H0jZJ69PjmgzxmLWUz3/+8zXLZq0sywzkfuAPgNNIuoeuAt4xzj23ADcCtcbY3R8RfhFtpbdx48aaZbNWlmnSGfB6RHwvIu4iWcG05lZOEXEf4B3Q7IAwffr0UeUZM2YUFIlZdlmSwRdIZiEfJunfAX9PsqfB/jpd0iOS1kg6YW+VJC2U1Cepb+vWrQ34WrPGmjJlyqjyO9/5zoIiMcsuyxLW35M0EVhL0j10YUT8fD+//yHgmIjYIWk+yT4Jx+3l+5cDywE6OztjP7/XrOH6+/trls1a2bjJQNINpCOIUocDTwNXSiIiFu/rl0fE9hGfV0v6iqRJEfHSvj7TzMyyq6dlMHb9oYb9uSPpKGBLRISkU0i6rbwIvJXSjBkzeO6550aVzcpi3GQQET3Dn9N5BjMj4ql6Hi7pNmAOMEnSJpLhqRPT5y4DLgI+LqkC7AYuiQh3AVkpLVmyhI997GOjymZlkWWns/OALwJvA46VdBJwXUScv7d7IqLmHskRcSPJ0FOz0ps9ezZTpkxhy5YtTJkyhdmzZxcdklndsowm+hxwCvAKQESsB45teERmZtZ0WXc62zbmnLt0zFIDAwNs2bIFgC1btng5CiuVLMngMUkfBtrT5atvINnoxsyAa6+9tmbZrJVlSQZXAieQLE73TWAb8MkcYjIrpZEjiaqVzVpZlklnu4D/LukLEbEzx5jMzKzJsux09gFJTwBPpuUTJX0lt8jMzKxpsnQT/RXw+6STwiLiEeB38wjKrIymTp1as2zWyrIkAyJibCfoUANjMSu1o48+umbZrJVl2c/gOUkfAELS24DFpF1GZuaF6qzcsrQMFgFXANOATcBJadnMzEouS8tgR0RcllskZmZWmCzJ4DFJW4D7gfuAH1aZkWxmZiVUdzdRRMwGLgU2AOcCj0han1NcZqVz2GGH1SybtbIsq5ZOB84APgicCDwOPJBTXGals3Pnzppls1aWpZvoWeCnwBciYlFO8ZiV1qxZs9i4ceOosllZZBlNdDKwAviwpB9JWiHpoznFZVY6V199dc2yWSvL8s7gEaAH+Abwj8CZwP/IKS6z0hne3Abw5jZWOlneGfQBB5EsW/0A8LsR8UxegZmV0bZtyQC77du3FxyJWTZZuonOiYj3RcSfRMStYxOBpO6xN0i6WdKLkh6r9kAllkoakPSopPdnjN+sZfT19fHLX/4SgN27d3sGspVKlm6ireNUuarKuVuArhr3nAMclx4LgZvqjces1SxZsmRU+ZprrikoErPsMi1UNw6NPRER9wEv17jnAmBFJB4EjpDkpR6tlDy01MqskclgX/ZDngaMXAl1U3rOzMyaKNeWwT7eUzWpSFooqU9S39at4/VYmTVfR0fHqPKkSZMKisQsu0Ymgx/uwz2bgBkjytOBzdUqRsTyiOiMiM7JkyfvS3xmufrFL34xqvzyy7V6SM1aS5ahpX9a5fQ2oD8i1kfEJ/bh+1cCn5B0O3AqsC0iXtiH55gVbs+ePTXLZq0sy3IUnemxKi3/B5LlKRZJ+lZEXD/2Bkm3AXOASZI2AUuAiQARsQxYDcwHBoBdwEf27dcwM7P9kSUZdADvj4gdAJKWAH9Psg9yP/CmZBARl9Z6YEQE3iDHzKxwWd4ZzAReG1F+HTgmInYDv2poVGZm1lRZWgbfBB6U9N20fB5wm6TDgCcaHpmZmTVN3ckgIv6npDUkexoIWBQRfellb4dpB7y2trZRL43b2ho5WM8sX1laBgAPkwz9nAAgaWZEPNvwqMxKyKOJrMyyDC29kmQ00BZgiKR1EMBv5xOamZk1S5aWwVXAb0TEYF7BmJXZIYccwu7du0eVzcoiS6fmcySTzMysipGJoFrZrJVlaRk8Ddwr6XuMGEoaEV9qeFRmJeQXyFZmWZLBs+nxtvQwsxH8AtnKLMvQ0mvzDMTMzIozbjKQ9H8i4pOSVlFleemIOD+XyMzMrGnqaRncmv78Yp6BmJlZccZNBhHRn/78p/zDMTOzImSZdHYG8DngmPQ+kSw8+q58QjMzs2bJMpro68B/JVmueiifcMzMrAhZksG2iFiTWyRmZlaYLMngB5L+N3AnoyedPdTwqMzMrKmyJINT05+dI84FcFbjwjEzsyJkmXT2e3kGYmZmxal78RRJUyR9Pd3gBknHS/poHfd1SXpK0oCkz1S5PkfSNknr0+OabL+CmZntrywrad0CfB84Oi3/C/DJWjdIagf+GjgHOB64VNLxVareHxEnpcd1GWIyM7MGyJIMJkXEHcAegIioMP4Q01OAgYh4OiJeA24HLtinSM3MLDdZksFOSR2k6xNJOo3x9zeYRrIPwrBN6bmxTpf0iKQ1kk7IEJOZmTVAltFEfwqsBN4t6YfAZOCice5RlXNjF7t7CDgmInZImg98BzjuTQ+SFgILAWbOnJkhbDMzG0/dLYN0PsGZwAeAPwFOiIhHx7ltEzBjRHk6sHnMc7dHxI7082pgoqRJVb5/eUR0RkTn5MmT6w3bzMzqkGVtooOBy4F/T/LX/f2SlkXEL2vc9lPgOEnHAs8DlwAfHvPco4AtERGSTiFJUN5n2cysibJ0E60AXgVuSMuXkixvffHeboiIiqRPkIxCagdujojHJS1Kry8j6Wr6uKQKsBu4JCLetG+CmZnlJ0sy+I2IOHFE+QeSHhnvprTrZ/WYc8tGfL4RuDFDHGZm1mBZRhM9nI4gAkDSqcAPGx+SmZk1W9a1iRZIepbkncExwJOSNpDsa/DbeQRoZmb5y5IMuoBfBz6Ylu8DXml0QGZm1nxZuokuJHlhPIlkjsGtwPkR8UxEPJNDbGZm1iRZWgYfBU6LiJ0Akv4C+BH/NrrIzMxKKksyEKPXIhqi+gxjO8DccMMNDAwMFB1GS7rqqquKDqEws2fP5sorryw6DKtTlmTwDeDHkv4hLV9Isi+ymZmVnLLM75L0fpIZyALui4iH8wqsls7Ozujr6yviq832aunSpdx5551vlC+++GKuuOKKAiMyG01Sf0R0Vr1Wxsm+TgbWqubMmfPG53vvvbewOMyqqZUMsowmMrNxHHnkkUDSKjArkyzvDMxsHDNmzGDGjBnuHrLSccvAzMycDMzMzMnAzMxwMjAzM/wCeZ951q1VM/zfxIE889jerAyzsZ0M9tHAwADrH3uSoUOPLDoUayFtryXzdvqf3lJwJNYq2ne9XHQIdXEy2A9Dhx7J7t+cX3QYZtbCDvnZ6vErtQC/MzAzs/yTgaQuSU9JGpD0mSrXJWlpev3RdP0jMzNroly7iSS1A38NzAM2AT+VtDIinhhR7RzguPQ4Fbgp/dnSnn/+edp3bStNE9DMitG+a5Dnn68UHca48n5ncAowEBFPA0i6HbgAGJkMLgBWRLJi3oOSjpA0NSJeyDm2/TdUoX3XYNFRFG/PEJRwwUPLmQRt7UVHUbyh1k8EkH8ymAY8N6K8iTf/1V+tzjRgVDKQtBBYCDBz5syGB5rVmWee6aGlqeeff57du3cXHYa1mEMOOYRp06YVHUZLmD17dtEhjCvvZFBtJ7Sxf0LWU4eIWA4sh2QJ6/0Pbf+0+phhM7Ms8n6BvAmYMaI8Hdi8D3XMzCxHeSeDnwLHSTpW0tuAS4CVY+qsBBako4pOA7aV4n2BmdlbSK7dRBFRkfQJ4PtAO3BzRDwuaVF6fRmwGpgPDAC7gI/kGZOZmb1Z7jOQI2I1yf/wR55bNuJzAN4JxMysQJ6BbGZmTgZmZuZkYGZmOBmYmRmgKOEyApK2As8UHYfZXkwCXio6CLMqjomIydUulDIZmLUySX0R0Vl0HGZZuJvIzMycDMzMzMnALA/Liw7ALCu/MzAzM7cMzMzMycDMzHAyMDMznAzMzAwnAzMzA/4/yxgbZ24BwA0AAAAASUVORK5CYII=\n", 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_boxplot(box_df)" ] }, { "cell_type": "code", "execution_count": 142, "id": "424b1497", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "289\n" ] } ], "source": [ "# 'budget_in_usd',\n", " \n", "extraordinary_points_budget = movies_df_v10[(movies_df_v10['budget_in_usd'] <10000)]\n", "print(len(extraordinary_points_budget)) \n", "\n", "# tentatively calling all movies with budget lower than 10 000 usd an outlier" ] }, { "cell_type": "code", "execution_count": 143, "id": "2a969bd0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(6344, 44)" ] }, "execution_count": 143, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v10.shape" ] }, { "cell_type": "code", "execution_count": 144, "id": "8032df32", "metadata": {}, "outputs": [], "source": [ "movies_df_v10_bud = movies_df_v10[~(\n", " movies_df_v10['budget_in_usd'] < 10000)]" ] }, { "cell_type": "code", "execution_count": 145, "id": "f946cd2d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(6055, 44)" ] }, "execution_count": 145, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v10_bud.shape" ] }, { "cell_type": "code", "execution_count": 146, "id": "055ba18a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1\n" ] } ], "source": [ "# 'opening_weekend_us_can_in_usd'\n", "extraordinary_points_openweek = movies_df_v10_bud[(movies_df_v10_bud['opening_weekend_us_can_in_usd'] <100)]\n", "print(len(extraordinary_points_openweek)) \n", "\n", "# not removing anything based on this because this column can actually be quite low\n" ] }, { "cell_type": "code", "execution_count": 147, "id": "2a521fde", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "14\n" ] } ], "source": [ "# 'gross_us_can_in_usd',\n", "\n", "extraordinary_points_gross_uscan = movies_df_v10_bud[(movies_df_v10_bud['gross_us_can_in_usd'] <2000)]\n", "print(len(extraordinary_points_gross_uscan)) \n", "\n", "# I saw one movie that actually has 2000 something USD as gross worldwide. Therefore, I am keeping the outlier\n", "# treshold in this columns quite low." ] }, { "cell_type": "code", "execution_count": 148, "id": "0dfd1456", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_datecountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usdtotal_award_nominationstotal_award_winsprimary_genresecondary_genrerelease_weekdayrelease_monthoscar_winoscar_nominationtotal_oscar_wins_top_star_1total_oscar_nominations_top_star_1total_oscar_wins_top_star_2total_oscar_nominations_top_star_2total_oscar_wins_top_star_3total_oscar_nominations_top_star_3summed_oscar_wins_starssummed_oscar_nominations_starsstars_own_or_won_an_oscar_before_or_afteris_among_best_director
989Money Planett7286966https://www.imdb.com/title/tt7286966/?ref_=adv...Not Rated82.0Comedy, Crime, Thriller3.25371NaNAndrew Lawrence2020https://www.imdb.com/title/tt7286966/awards/?r...0Tyler W. KonneyAdam CopelandKelsey GrammerThomas Jane90.024.02020-07-10United StatesNaN5000000.0NaN618.0NaN0.00.0ComedyCrime57.0NN0.00.00.00.00.00.00.00.0NN
1019Tartt4351684https://www.imdb.com/title/tt4351684/?ref_=adv...Not Rated96.0Adventure, Horror, Thriller4.74148NaNAaron Wolf2020https://www.imdb.com/title/tt4351684/awards/?r...0Timothy NuttallTimothy BottomsGraham GreeneAaron Wolf42.07.02020-10-02United StatesNaN22307.022307.01469.0NaN0.00.0AdventureHorror510.0NN0.00.00.01.00.00.00.01.0NN
1053The Serpenttt6984230https://www.imdb.com/title/tt6984230/?ref_=adv...NaN89.0Action, Thriller4.03213NaNGia Skova2020https://www.imdb.com/title/tt6984230/awards/?r...0Gia SkovaGia SkovaTravis Aaron WadeNigel Vonas73.07.02021-06-18United StatesSerpent Production1200000.0NaN1200.0NaN0.00.0ActionThriller56.0NN0.00.00.00.00.00.00.00.0NN
1955Max Winslow and the House of Secretstt8896632https://www.imdb.com/title/tt8896632/?ref_=adv...Parental Guidance98.0Family, Sci-Fi, Thriller5.12207NaNSean Olson2019https://www.imdb.com/title/tt8896632/awards/?r...Showing all 13 wins and 6 nominationsJeff WildChad Michael MurrayMarina SirtisSydne Mikelle35.025.02020-10-23United StatesSkipstone Pictures31250.089532.0425.0NaN6.013.0FamilySci510.0NN0.00.00.00.00.00.00.00.0NN
2311Guest Artisttt8650976https://www.imdb.com/title/tt8650976/?ref_=adv...Not Rated74.0Drama5.3335NaNTimothy Busfield2019https://www.imdb.com/title/tt8650976/awards/?r...Showing all 13 wins and 15 nominationsJeff DanielsJeff DanielsThomas MaciasRichard McWilliams15.07.02020-07-10United StatesNaN10017.010017.0944.0NaN15.013.0DramaOther57.0NN0.00.00.00.00.00.00.00.0NN
3603Marrowbonett5886440https://www.imdb.com/title/tt5886440/?ref_=adv...Adult110.0Adventure, Drama, Horror6.63225963.0Sergio G. Sánchez2017https://www.imdb.com/title/tt5886440/awards/?r...Showing all 2 wins and 2 nominationsSergio G. SánchezGeorge MacKayAnya Taylor-JoyCharlie Heaton186.0130.02018-04-13SpainLionsgate8000000.0624.01377.012294931.02.02.0AdventureDrama54.0NN0.00.00.00.00.00.00.00.0NN
376168 Killtt5189894https://www.imdb.com/title/tt5189894/?ref_=adv...Adult93.0Comedy, Crime, Thriller6.0602856.0Trent Haaga2017https://www.imdb.com/title/tt5189894/awards/?r...Showing all 3 wins and 1 nominationTrent HaagaMatthew Gray GublerAnnaLynne McCordAlisha Boe51.065.02017-08-04United StatesNaN520000.0NaN522.0NaN1.03.0ComedyCrime58.0NN0.00.00.00.00.00.00.00.0NN
3812Division 19tt2492344https://www.imdb.com/title/tt2492344/?ref_=adv...NaN93.0Action, Sci-Fi, Thriller4.44053NaNS.A. Halewood2017https://www.imdb.com/title/tt2492344/awards/?r...Showing all 2 wins and 0 nominationsS.A. HalewoodAlison DoodyLinus RoacheLotte Verbeek30.035.02019-07-09United KingdomDivision 192000000.02680.01699.0NaN0.02.0ActionSci27.0NN0.00.00.00.00.00.00.00.0NN
3863The Tribes of Palos Verdestt1507571https://www.imdb.com/title/tt1507571/?ref_=adv...Adult104.0Drama5.8265849.0Brendan Malloy2017https://www.imdb.com/title/tt1507571/awards/?r...Showing all 1 win and 0 nominationsKaren CronerMaika MonroeCody FernJennifer Garner42.015.02017-12-01United StatesNaN11603.011603.0796.0NaN0.01.0DramaOther512.0NN0.00.00.00.00.00.00.00.0NN
40987 Witchestt4424722https://www.imdb.com/title/tt4424722/?ref_=adv...Not Rated72.0Horror, Thriller3.6755NaNBrady Hall2017https://www.imdb.com/title/tt4424722/awards/?r...0Ed DoughertyPersephone ApostolouDanika GolombekMegan Hensley26.011.02017-04-14United StatesGMMG Films31100.031100.01875.0NaN0.00.0HorrorThriller54.0NN0.00.00.00.00.00.00.00.0NN
4822Slow Learnerstt2537390https://www.imdb.com/title/tt2537390/?ref_=adv...Not Rated96.0Comedy, Romance5.8279152.0Don Argott2015https://www.imdb.com/title/tt2537390/awards/?r...0Heather MaidatAdam PallyMegan NeuringerBobby Spears Jr.19.011.02015-08-19United StatesBBCG Films22272.022272.0948.0NaN0.00.0ComedyRomance38.0NN0.00.00.00.00.00.00.00.0NN
4834Take Me to the Rivertt3142366https://www.imdb.com/title/tt3142366/?ref_=adv...Not Rated84.0Drama6.2251565.0Matt Sobel2015https://www.imdb.com/title/tt3142366/awards/?r...Showing all 1 win and 6 nominationsMatt SobelLogan MillerRobin WeigertJosh Hamilton36.037.02015-01-26United StatesNaN28041.028041.01509.0NaN6.01.0DramaOther11.0NN0.00.00.00.00.00.00.00.0NN
5647Vigilante Diariestt3903852https://www.imdb.com/title/tt3903852/?ref_=adv...Adult107.0Action, Crime, Thriller5.06277NaNChristian Sesma2016https://www.imdb.com/title/tt3903852/awards/?r...0Christian SesmaPaul SloanQuinton 'Rampage' JacksonJason Mewes20.023.02016-06-24United StatesOscar Gold Productions1000000.01650.01991.0176777.00.00.0ActionCrime56.0NN0.00.00.00.00.00.00.00.0NN
5667Lovesongtt4305148https://www.imdb.com/title/tt4305148/?ref_=adv...Not Rated84.0Drama, Romance6.3509174.0So Yong Kim2016https://www.imdb.com/title/tt4305148/awards/?r...Showing all 1 win and 4 nominationsSo Yong KimRiley KeoughJena MaloneJessie Ok Gray27.029.02017-02-17United StatesAutumn Productions10626.010626.01718.0NaN4.01.0DramaRomance52.0NN0.00.00.00.00.00.00.00.0NN
\n", "
" ], "text/plain": [ " title movie_id \\\n", "989 Money Plane tt7286966 \n", "1019 Tar tt4351684 \n", "1053 The Serpent tt6984230 \n", "1955 Max Winslow and the House of Secrets tt8896632 \n", "2311 Guest Artist tt8650976 \n", "3603 Marrowbone tt5886440 \n", "3761 68 Kill tt5189894 \n", "3812 Division 19 tt2492344 \n", "3863 The Tribes of Palos Verdes tt1507571 \n", "4098 7 Witches tt4424722 \n", "4822 Slow Learners tt2537390 \n", "4834 Take Me to the River tt3142366 \n", "5647 Vigilante Diaries tt3903852 \n", "5667 Lovesong tt4305148 \n", "\n", " movie_imdb_link certificate \\\n", "989 https://www.imdb.com/title/tt7286966/?ref_=adv... Not Rated \n", "1019 https://www.imdb.com/title/tt4351684/?ref_=adv... Not Rated \n", "1053 https://www.imdb.com/title/tt6984230/?ref_=adv... NaN \n", "1955 https://www.imdb.com/title/tt8896632/?ref_=adv... Parental Guidance \n", "2311 https://www.imdb.com/title/tt8650976/?ref_=adv... Not Rated \n", "3603 https://www.imdb.com/title/tt5886440/?ref_=adv... Adult \n", "3761 https://www.imdb.com/title/tt5189894/?ref_=adv... Adult \n", "3812 https://www.imdb.com/title/tt2492344/?ref_=adv... NaN \n", "3863 https://www.imdb.com/title/tt1507571/?ref_=adv... Adult \n", "4098 https://www.imdb.com/title/tt4424722/?ref_=adv... Not Rated \n", "4822 https://www.imdb.com/title/tt2537390/?ref_=adv... Not Rated \n", "4834 https://www.imdb.com/title/tt3142366/?ref_=adv... Not Rated \n", "5647 https://www.imdb.com/title/tt3903852/?ref_=adv... Adult \n", "5667 https://www.imdb.com/title/tt4305148/?ref_=adv... Not Rated \n", "\n", " runtime_in_mins genre imdb_rating \\\n", "989 82.0 Comedy, Crime, Thriller 3.2 \n", "1019 96.0 Adventure, Horror, Thriller 4.7 \n", "1053 89.0 Action, Thriller 4.0 \n", "1955 98.0 Family, Sci-Fi, Thriller 5.1 \n", "2311 74.0 Drama 5.3 \n", "3603 110.0 Adventure, Drama, Horror 6.6 \n", "3761 93.0 Comedy, Crime, Thriller 6.0 \n", "3812 93.0 Action, Sci-Fi, Thriller 4.4 \n", "3863 104.0 Drama 5.8 \n", "4098 72.0 Horror, Thriller 3.6 \n", "4822 96.0 Comedy, Romance 5.8 \n", "4834 84.0 Drama 6.2 \n", "5647 107.0 Action, Crime, Thriller 5.0 \n", "5667 84.0 Drama, Romance 6.3 \n", "\n", " number_of_votes metascore top_director release_year \\\n", "989 5371 NaN Andrew Lawrence 2020 \n", "1019 4148 NaN Aaron Wolf 2020 \n", "1053 3213 NaN Gia Skova 2020 \n", "1955 2207 NaN Sean Olson 2019 \n", "2311 335 NaN Timothy Busfield 2019 \n", "3603 32259 63.0 Sergio G. Sánchez 2017 \n", "3761 6028 56.0 Trent Haaga 2017 \n", "3812 4053 NaN S.A. Halewood 2017 \n", "3863 2658 49.0 Brendan Malloy 2017 \n", "4098 755 NaN Brady Hall 2017 \n", "4822 2791 52.0 Don Argott 2015 \n", "4834 2515 65.0 Matt Sobel 2015 \n", "5647 6277 NaN Christian Sesma 2016 \n", "5667 5091 74.0 So Yong Kim 2016 \n", "\n", " awards_link \\\n", "989 https://www.imdb.com/title/tt7286966/awards/?r... \n", "1019 https://www.imdb.com/title/tt4351684/awards/?r... \n", "1053 https://www.imdb.com/title/tt6984230/awards/?r... \n", "1955 https://www.imdb.com/title/tt8896632/awards/?r... \n", "2311 https://www.imdb.com/title/tt8650976/awards/?r... \n", "3603 https://www.imdb.com/title/tt5886440/awards/?r... \n", "3761 https://www.imdb.com/title/tt5189894/awards/?r... \n", "3812 https://www.imdb.com/title/tt2492344/awards/?r... \n", "3863 https://www.imdb.com/title/tt1507571/awards/?r... \n", "4098 https://www.imdb.com/title/tt4424722/awards/?r... \n", "4822 https://www.imdb.com/title/tt2537390/awards/?r... \n", "4834 https://www.imdb.com/title/tt3142366/awards/?r... \n", "5647 https://www.imdb.com/title/tt3903852/awards/?r... \n", "5667 https://www.imdb.com/title/tt4305148/awards/?r... \n", "\n", " awards_total top_writer \\\n", "989 0 Tyler W. Konney \n", "1019 0 Timothy Nuttall \n", "1053 0 Gia Skova \n", "1955 Showing all 13 wins and 6 nominations Jeff Wild \n", "2311 Showing all 13 wins and 15 nominations Jeff Daniels \n", "3603 Showing all 2 wins and 2 nominations Sergio G. Sánchez \n", "3761 Showing all 3 wins and 1 nomination Trent Haaga \n", "3812 Showing all 2 wins and 0 nominations S.A. Halewood \n", "3863 Showing all 1 win and 0 nominations Karen Croner \n", "4098 0 Ed Dougherty \n", "4822 0 Heather Maidat \n", "4834 Showing all 1 win and 6 nominations Matt Sobel \n", "5647 0 Christian Sesma \n", "5667 Showing all 1 win and 4 nominations So Yong Kim \n", "\n", " top_star_1 top_star_2 top_star_3 \\\n", "989 Adam Copeland Kelsey Grammer Thomas Jane \n", "1019 Timothy Bottoms Graham Greene Aaron Wolf \n", "1053 Gia Skova Travis Aaron Wade Nigel Vonas \n", "1955 Chad Michael Murray Marina Sirtis Sydne Mikelle \n", "2311 Jeff Daniels Thomas Macias Richard McWilliams \n", "3603 George MacKay Anya Taylor-Joy Charlie Heaton \n", "3761 Matthew Gray Gubler AnnaLynne McCord Alisha Boe \n", "3812 Alison Doody Linus Roache Lotte Verbeek \n", "3863 Maika Monroe Cody Fern Jennifer Garner \n", "4098 Persephone Apostolou Danika Golombek Megan Hensley \n", "4822 Adam Pally Megan Neuringer Bobby Spears Jr. \n", "4834 Logan Miller Robin Weigert Josh Hamilton \n", "5647 Paul Sloan Quinton 'Rampage' Jackson Jason Mewes \n", "5667 Riley Keough Jena Malone Jessie Ok Gray \n", "\n", " num_user_reviews num_critic_reviews release_date country_of_origin \\\n", "989 90.0 24.0 2020-07-10 United States \n", "1019 42.0 7.0 2020-10-02 United States \n", "1053 73.0 7.0 2021-06-18 United States \n", "1955 35.0 25.0 2020-10-23 United States \n", "2311 15.0 7.0 2020-07-10 United States \n", "3603 186.0 130.0 2018-04-13 Spain \n", "3761 51.0 65.0 2017-08-04 United States \n", "3812 30.0 35.0 2019-07-09 United Kingdom \n", "3863 42.0 15.0 2017-12-01 United States \n", "4098 26.0 11.0 2017-04-14 United States \n", "4822 19.0 11.0 2015-08-19 United States \n", "4834 36.0 37.0 2015-01-26 United States \n", "5647 20.0 23.0 2016-06-24 United States \n", "5667 27.0 29.0 2017-02-17 United States \n", "\n", " top_production_company budget_in_usd opening_weekend_us_can_in_usd \\\n", "989 NaN 5000000.0 NaN \n", "1019 NaN 22307.0 22307.0 \n", "1053 Serpent Production 1200000.0 NaN \n", "1955 Skipstone Pictures 31250.0 89532.0 \n", "2311 NaN 10017.0 10017.0 \n", "3603 Lionsgate 8000000.0 624.0 \n", "3761 NaN 520000.0 NaN \n", "3812 Division 19 2000000.0 2680.0 \n", "3863 NaN 11603.0 11603.0 \n", "4098 GMMG Films 31100.0 31100.0 \n", "4822 BBCG Films 22272.0 22272.0 \n", "4834 NaN 28041.0 28041.0 \n", "5647 Oscar Gold Productions 1000000.0 1650.0 \n", "5667 Autumn Productions 10626.0 10626.0 \n", "\n", " gross_us_can_in_usd gross_worldwide_in_usd total_award_nominations \\\n", "989 618.0 NaN 0.0 \n", "1019 1469.0 NaN 0.0 \n", "1053 1200.0 NaN 0.0 \n", "1955 425.0 NaN 6.0 \n", "2311 944.0 NaN 15.0 \n", "3603 1377.0 12294931.0 2.0 \n", "3761 522.0 NaN 1.0 \n", "3812 1699.0 NaN 0.0 \n", "3863 796.0 NaN 0.0 \n", "4098 1875.0 NaN 0.0 \n", "4822 948.0 NaN 0.0 \n", "4834 1509.0 NaN 6.0 \n", "5647 1991.0 176777.0 0.0 \n", "5667 1718.0 NaN 4.0 \n", "\n", " total_award_wins primary_genre secondary_genre release_weekday \\\n", "989 0.0 Comedy Crime 5 \n", "1019 0.0 Adventure Horror 5 \n", "1053 0.0 Action Thriller 5 \n", "1955 13.0 Family Sci 5 \n", "2311 13.0 Drama Other 5 \n", "3603 2.0 Adventure Drama 5 \n", "3761 3.0 Comedy Crime 5 \n", "3812 2.0 Action Sci 2 \n", "3863 1.0 Drama Other 5 \n", "4098 0.0 Horror Thriller 5 \n", "4822 0.0 Comedy Romance 3 \n", "4834 1.0 Drama Other 1 \n", "5647 0.0 Action Crime 5 \n", "5667 1.0 Drama Romance 5 \n", "\n", " release_month oscar_win oscar_nomination total_oscar_wins_top_star_1 \\\n", "989 7.0 N N 0.0 \n", "1019 10.0 N N 0.0 \n", "1053 6.0 N N 0.0 \n", "1955 10.0 N N 0.0 \n", "2311 7.0 N N 0.0 \n", "3603 4.0 N N 0.0 \n", "3761 8.0 N N 0.0 \n", "3812 7.0 N N 0.0 \n", "3863 12.0 N N 0.0 \n", "4098 4.0 N N 0.0 \n", "4822 8.0 N N 0.0 \n", "4834 1.0 N N 0.0 \n", "5647 6.0 N N 0.0 \n", "5667 2.0 N N 0.0 \n", "\n", " total_oscar_nominations_top_star_1 total_oscar_wins_top_star_2 \\\n", "989 0.0 0.0 \n", "1019 0.0 0.0 \n", "1053 0.0 0.0 \n", "1955 0.0 0.0 \n", "2311 0.0 0.0 \n", "3603 0.0 0.0 \n", "3761 0.0 0.0 \n", "3812 0.0 0.0 \n", "3863 0.0 0.0 \n", "4098 0.0 0.0 \n", "4822 0.0 0.0 \n", "4834 0.0 0.0 \n", "5647 0.0 0.0 \n", "5667 0.0 0.0 \n", "\n", " total_oscar_nominations_top_star_2 total_oscar_wins_top_star_3 \\\n", "989 0.0 0.0 \n", "1019 1.0 0.0 \n", "1053 0.0 0.0 \n", "1955 0.0 0.0 \n", "2311 0.0 0.0 \n", "3603 0.0 0.0 \n", "3761 0.0 0.0 \n", "3812 0.0 0.0 \n", "3863 0.0 0.0 \n", "4098 0.0 0.0 \n", "4822 0.0 0.0 \n", "4834 0.0 0.0 \n", "5647 0.0 0.0 \n", "5667 0.0 0.0 \n", "\n", " total_oscar_nominations_top_star_3 summed_oscar_wins_stars \\\n", "989 0.0 0.0 \n", "1019 0.0 0.0 \n", "1053 0.0 0.0 \n", "1955 0.0 0.0 \n", "2311 0.0 0.0 \n", "3603 0.0 0.0 \n", "3761 0.0 0.0 \n", "3812 0.0 0.0 \n", "3863 0.0 0.0 \n", "4098 0.0 0.0 \n", "4822 0.0 0.0 \n", "4834 0.0 0.0 \n", "5647 0.0 0.0 \n", "5667 0.0 0.0 \n", "\n", " summed_oscar_nominations_stars \\\n", "989 0.0 \n", "1019 1.0 \n", "1053 0.0 \n", "1955 0.0 \n", "2311 0.0 \n", "3603 0.0 \n", "3761 0.0 \n", "3812 0.0 \n", "3863 0.0 \n", "4098 0.0 \n", "4822 0.0 \n", "4834 0.0 \n", "5647 0.0 \n", "5667 0.0 \n", "\n", " stars_own_or_won_an_oscar_before_or_after is_among_best_director \n", "989 N N \n", "1019 N N \n", "1053 N N \n", "1955 N N \n", "2311 N N \n", "3603 N N \n", "3761 N N \n", "3812 N N \n", "3863 N N \n", "4098 N N \n", "4822 N N \n", "4834 N N \n", "5647 N N \n", "5667 N N " ] }, "execution_count": 148, "metadata": {}, "output_type": "execute_result" } ], "source": [ "extraordinary_points_gross_uscan" ] }, { "cell_type": "code", "execution_count": 149, "id": "31d6a41b", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/2653494470.py:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", " movies_df_v10_gross_uscan = movies_df_v10_bud[~(\n" ] } ], "source": [ "movies_df_v10_gross_uscan = movies_df_v10_bud[~(\n", " movies_df_v10['gross_us_can_in_usd'] < 2000)]" ] }, { "cell_type": "code", "execution_count": 150, "id": "5a14c021", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(6041, 44)" ] }, "execution_count": 150, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v10_gross_uscan.shape" ] }, { "cell_type": "code", "execution_count": 151, "id": "78c53cb7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0\n" ] } ], "source": [ "# 'gross_worldwide_in_usd'\n", "\n", "extraordinary_points_gross_world = movies_df_v10_gross_uscan[(movies_df_v10_gross_uscan['gross_worldwide_in_usd'] <2000)]\n", "print(len(extraordinary_points_gross_world))\n", "\n", "# this column seems to have no outliers\n" ] }, { "cell_type": "code", "execution_count": 152, "id": "e5e2e372", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(6041, 44)" ] }, "execution_count": 152, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v10_gross_uscan.shape" ] }, { "cell_type": "code", "execution_count": 153, "id": "9e0c1291", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.14898195662969707" ] }, "execution_count": 153, "metadata": {}, "output_type": "execute_result" } ], "source": [ "900/6041" ] }, { "cell_type": "code", "execution_count": 154, "id": "f5004050", "metadata": {}, "outputs": [], "source": [ "movies_df_v10_gross_uscan.to_csv('movies_untreated_for_NaNs__treated_for_outliers.csv')\n" ] }, { "cell_type": "markdown", "id": "b44a1690", "metadata": {}, "source": [ "# EDA and preprocessing data for modelling" ] }, { "cell_type": "markdown", "id": "9af48371", "metadata": {}, "source": [ "There are many NaNs in the data, especially in the target column and in several of the important features." ] }, { "cell_type": "markdown", "id": "54fbfe6e", "metadata": {}, "source": [ "## Imputing NaNs" ] }, { "cell_type": "code", "execution_count": 155, "id": "af347a08", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "title 0\n", "movie_id 0\n", "movie_imdb_link 0\n", "certificate 1570\n", "runtime_in_mins 16\n", "genre 2\n", "imdb_rating 0\n", "number_of_votes 0\n", "metascore 3477\n", "top_director 1\n", "release_year 0\n", "awards_link 0\n", "awards_total 0\n", "top_writer 16\n", "top_star_1 66\n", "top_star_2 72\n", "top_star_3 84\n", "num_user_reviews 0\n", "num_critic_reviews 686\n", "release_date 95\n", "country_of_origin 16\n", "top_production_company 3346\n", "budget_in_usd 2981\n", "opening_weekend_us_can_in_usd 4457\n", "gross_us_can_in_usd 4193\n", "gross_worldwide_in_usd 5148\n", "total_award_nominations 0\n", "total_award_wins 0\n", "primary_genre 2\n", "secondary_genre 2\n", "release_weekday 95\n", "release_month 95\n", "oscar_win 0\n", "oscar_nomination 0\n", "total_oscar_wins_top_star_1 0\n", "total_oscar_nominations_top_star_1 0\n", "total_oscar_wins_top_star_2 0\n", "total_oscar_nominations_top_star_2 0\n", "total_oscar_wins_top_star_3 0\n", "total_oscar_nominations_top_star_3 0\n", "summed_oscar_wins_stars 0\n", "summed_oscar_nominations_stars 0\n", "stars_own_or_won_an_oscar_before_or_after 0\n", "is_among_best_director 0\n", "dtype: int64" ] }, "execution_count": 155, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_df_v10_gross_uscan.isna().sum()" ] }, { "cell_type": "code", "execution_count": 156, "id": "584dc30e", "metadata": {}, "outputs": [], "source": [ "#movies_df_v10.isna().sum()" ] }, { "cell_type": "code", "execution_count": 157, "id": "bcda664d", "metadata": {}, "outputs": [], "source": [ "# I will continue with a filtered data where the financial columns are not null.\n", "\n", "mask1 = movies_df_v10_gross_uscan['gross_worldwide_in_usd'].notnull()\n", "mask2 = movies_df_v10_gross_uscan['opening_weekend_us_can_in_usd'].notnull()\n", "mask3 = movies_df_v10_gross_uscan['budget_in_usd'].notnull()\n", "\n", "movies_filtered = movies_df_v10_gross_uscan[mask1 & mask2 & mask3].copy()" ] }, { "cell_type": "code", "execution_count": 158, "id": "1ab9020f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(893, 44)" ] }, "execution_count": 158, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered.shape" ] }, { "cell_type": "code", "execution_count": 159, "id": "7232c969", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "title 0\n", "movie_id 0\n", "movie_imdb_link 0\n", "certificate 8\n", "runtime_in_mins 0\n", "genre 0\n", "imdb_rating 0\n", "number_of_votes 0\n", "metascore 39\n", "top_director 0\n", "release_year 0\n", "awards_link 0\n", "awards_total 0\n", "top_writer 0\n", "top_star_1 0\n", "top_star_2 0\n", "top_star_3 0\n", "num_user_reviews 0\n", "num_critic_reviews 6\n", "release_date 0\n", "country_of_origin 0\n", "top_production_company 52\n", "budget_in_usd 0\n", "opening_weekend_us_can_in_usd 0\n", "gross_us_can_in_usd 0\n", "gross_worldwide_in_usd 0\n", "total_award_nominations 0\n", "total_award_wins 0\n", "primary_genre 0\n", "secondary_genre 0\n", "release_weekday 0\n", "release_month 0\n", "oscar_win 0\n", "oscar_nomination 0\n", "total_oscar_wins_top_star_1 0\n", "total_oscar_nominations_top_star_1 0\n", "total_oscar_wins_top_star_2 0\n", "total_oscar_nominations_top_star_2 0\n", "total_oscar_wins_top_star_3 0\n", "total_oscar_nominations_top_star_3 0\n", "summed_oscar_wins_stars 0\n", "summed_oscar_nominations_stars 0\n", "stars_own_or_won_an_oscar_before_or_after 0\n", "is_among_best_director 0\n", "dtype: int64" ] }, "execution_count": 159, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered.isna().sum()" ] }, { "cell_type": "code", "execution_count": 160, "id": "38a41660", "metadata": {}, "outputs": [], "source": [ "#movies_filtered['metascore'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 161, "id": "acac638f", "metadata": {}, "outputs": [], "source": [ "movies_filtered['metascore'] = movies_filtered['metascore'].fillna(round(np.mean(movies_filtered['metascore']),0)).astype(int)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "9037fbb3", "metadata": {}, "outputs": [], "source": [ "movies_filtered['top_production_company'].value_counts(dropna=False)\n" ] }, { "cell_type": "code", "execution_count": 163, "id": "d6ca09e8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(893, 44)" ] }, "execution_count": 163, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered.shape" ] }, { "cell_type": "code", "execution_count": 164, "id": "29238b47", "metadata": {}, "outputs": [], "source": [ "def group_prod_company(df):\n", "\n", " major_prod_company = ['Universal Pictures', 'Columbia Pictures', 'Warner Bros.', 'Paramount Pictures']\n", " df['top_production_company_grouped'] = '' #creating an empty column\n", " \n", " for i in df.index:\n", " if df['top_production_company'][i] not in major_prod_company:\n", " df['top_production_company_grouped'][i] = 'Other' \n", " \n", " else:\n", " df['top_production_company_grouped'][i] = df['top_production_company'][i]\n", " \n", " return df\n", "\n" ] }, { "cell_type": "code", "execution_count": 165, "id": "43791bad", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/2722901165.py:11: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['top_production_company_grouped'][i] = df['top_production_company'][i]\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/2722901165.py:8: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['top_production_company_grouped'][i] = 'Other'\n" ] } ], "source": [ "movies_filtered_v1 = group_prod_company(movies_filtered)" ] }, { "cell_type": "code", "execution_count": null, "id": "61e76e6b", "metadata": {}, "outputs": [], "source": [ "movies_filtered['top_production_company'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 167, "id": "2ff8c671", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Other 746\n", "Universal Pictures 42\n", "Columbia Pictures 38\n", "Warner Bros. 35\n", "Paramount Pictures 32\n", "Name: top_production_company_grouped, dtype: int64" ] }, "execution_count": 167, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v1['top_production_company_grouped'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 168, "id": "8788d822", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_datecountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usdtotal_award_nominationstotal_award_winsprimary_genresecondary_genrerelease_weekdayrelease_monthoscar_winoscar_nominationtotal_oscar_wins_top_star_1total_oscar_nominations_top_star_1total_oscar_wins_top_star_2total_oscar_nominations_top_star_2total_oscar_wins_top_star_3total_oscar_nominations_top_star_3summed_oscar_wins_starssummed_oscar_nominations_starsstars_own_or_won_an_oscar_before_or_afteris_among_best_directortop_production_company_grouped
0Spider-Man: No Way Homett10872600https://www.imdb.com/title/tt10872600/?ref_=ad...+13/14148.0Action, Adventure, Fantasy8.373908671Jon Watts2021https://www.imdb.com/title/tt10872600/awards/?...Showing all 34 wins and 66 nominationsChris McKennaTom HollandZendayaBenedict Cumberbatch6100.0412.02021-12-17United StatesColumbia Pictures200000000.0260138569.0814115070.01.916279e+0966.034.0ActionAdventure512.0NN0.00.00.00.00.02.00.02.0NNColumbia Pictures
1Dunett1160419https://www.imdb.com/title/tt1160419/?ref_=adv...+13/14155.0Action, Adventure, Drama8.062106974Denis Villeneuve2021https://www.imdb.com/title/tt1160419/awards/?r...Showing all 164 wins and 280 nominationsJon SpaihtsTimothée ChalametRebecca FergusonZendaya5600.0509.02021-10-22CanadaWarner Bros.165000000.041011174.0108327830.04.018479e+08280.0164.0ActionAdventure510.0NY0.00.00.00.00.00.00.00.0NYWarner Bros.
3No Time to Diett2382320https://www.imdb.com/title/tt2382320/?ref_=adv...+13/14163.0Action, Adventure, Thriller7.339393068Cary Joji Fukunaga2021https://www.imdb.com/title/tt2382320/awards/?r...Showing all 35 wins and 69 nominationsNeal PurvisDaniel CraigAna de ArmasRami Malek4100.0449.02021-10-08United KingdomMetro-Goldwyn-Mayer (MGM)250000000.055225007.0160891007.07.741530e+0869.035.0ActionAdventure510.0NN0.00.00.00.01.01.01.01.0YYOther
5Shang-Chi and the Legend of the Ten Ringstt9376612https://www.imdb.com/title/tt9376612/?ref_=adv...+13/14132.0Action, Adventure, Fantasy7.437573571Destin Daniel Cretton2021https://www.imdb.com/title/tt9376612/awards/?r...Showing all 19 wins and 66 nominationsDave CallahamSimu LiuAwkwafinaTony Chiu-Wai Leung2400.0338.02021-09-03United StatesWalt Disney Pictures200000000.075388688.0224543292.04.322433e+0866.019.0ActionAdventure59.0NN0.00.00.00.00.00.00.00.0NYOther
6Black Widowtt3480822https://www.imdb.com/title/tt3480822/?ref_=adv...+13/14134.0Action, Adventure, Sci-Fi6.737318067Cate Shortland2021https://www.imdb.com/title/tt3480822/awards/?r...Showing all 10 wins and 30 nominationsEric PearsonScarlett JohanssonFlorence PughDavid Harbour3100.0390.02021-07-09United StatesMarvel Studios200000000.080366312.0183651655.03.797517e+0830.010.0ActionAdventure57.0NN0.02.00.01.00.00.00.03.0NNOther
\n", "
" ], "text/plain": [ " title movie_id \\\n", "0 Spider-Man: No Way Home tt10872600 \n", "1 Dune tt1160419 \n", "3 No Time to Die tt2382320 \n", "5 Shang-Chi and the Legend of the Ten Rings tt9376612 \n", "6 Black Widow tt3480822 \n", "\n", " movie_imdb_link certificate \\\n", "0 https://www.imdb.com/title/tt10872600/?ref_=ad... +13/14 \n", "1 https://www.imdb.com/title/tt1160419/?ref_=adv... +13/14 \n", "3 https://www.imdb.com/title/tt2382320/?ref_=adv... +13/14 \n", "5 https://www.imdb.com/title/tt9376612/?ref_=adv... +13/14 \n", "6 https://www.imdb.com/title/tt3480822/?ref_=adv... +13/14 \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "0 148.0 Action, Adventure, Fantasy 8.3 739086 \n", "1 155.0 Action, Adventure, Drama 8.0 621069 \n", "3 163.0 Action, Adventure, Thriller 7.3 393930 \n", "5 132.0 Action, Adventure, Fantasy 7.4 375735 \n", "6 134.0 Action, Adventure, Sci-Fi 6.7 373180 \n", "\n", " metascore top_director release_year \\\n", "0 71 Jon Watts 2021 \n", "1 74 Denis Villeneuve 2021 \n", "3 68 Cary Joji Fukunaga 2021 \n", "5 71 Destin Daniel Cretton 2021 \n", "6 67 Cate Shortland 2021 \n", "\n", " awards_link \\\n", "0 https://www.imdb.com/title/tt10872600/awards/?... \n", "1 https://www.imdb.com/title/tt1160419/awards/?r... \n", "3 https://www.imdb.com/title/tt2382320/awards/?r... \n", "5 https://www.imdb.com/title/tt9376612/awards/?r... \n", "6 https://www.imdb.com/title/tt3480822/awards/?r... \n", "\n", " awards_total top_writer \\\n", "0 Showing all 34 wins and 66 nominations Chris McKenna \n", "1 Showing all 164 wins and 280 nominations Jon Spaihts \n", "3 Showing all 35 wins and 69 nominations Neal Purvis \n", "5 Showing all 19 wins and 66 nominations Dave Callaham \n", "6 Showing all 10 wins and 30 nominations Eric Pearson \n", "\n", " top_star_1 top_star_2 top_star_3 \\\n", "0 Tom Holland Zendaya Benedict Cumberbatch \n", "1 Timothée Chalamet Rebecca Ferguson Zendaya \n", "3 Daniel Craig Ana de Armas Rami Malek \n", "5 Simu Liu Awkwafina Tony Chiu-Wai Leung \n", "6 Scarlett Johansson Florence Pugh David Harbour \n", "\n", " num_user_reviews num_critic_reviews release_date country_of_origin \\\n", "0 6100.0 412.0 2021-12-17 United States \n", "1 5600.0 509.0 2021-10-22 Canada \n", "3 4100.0 449.0 2021-10-08 United Kingdom \n", "5 2400.0 338.0 2021-09-03 United States \n", "6 3100.0 390.0 2021-07-09 United States \n", "\n", " top_production_company budget_in_usd opening_weekend_us_can_in_usd \\\n", "0 Columbia Pictures 200000000.0 260138569.0 \n", "1 Warner Bros. 165000000.0 41011174.0 \n", "3 Metro-Goldwyn-Mayer (MGM) 250000000.0 55225007.0 \n", "5 Walt Disney Pictures 200000000.0 75388688.0 \n", "6 Marvel Studios 200000000.0 80366312.0 \n", "\n", " gross_us_can_in_usd gross_worldwide_in_usd total_award_nominations \\\n", "0 814115070.0 1.916279e+09 66.0 \n", "1 108327830.0 4.018479e+08 280.0 \n", "3 160891007.0 7.741530e+08 69.0 \n", "5 224543292.0 4.322433e+08 66.0 \n", "6 183651655.0 3.797517e+08 30.0 \n", "\n", " total_award_wins primary_genre secondary_genre release_weekday \\\n", "0 34.0 Action Adventure 5 \n", "1 164.0 Action Adventure 5 \n", "3 35.0 Action Adventure 5 \n", "5 19.0 Action Adventure 5 \n", "6 10.0 Action Adventure 5 \n", "\n", " release_month oscar_win oscar_nomination total_oscar_wins_top_star_1 \\\n", "0 12.0 N N 0.0 \n", "1 10.0 N Y 0.0 \n", "3 10.0 N N 0.0 \n", "5 9.0 N N 0.0 \n", "6 7.0 N N 0.0 \n", "\n", " total_oscar_nominations_top_star_1 total_oscar_wins_top_star_2 \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "3 0.0 0.0 \n", "5 0.0 0.0 \n", "6 2.0 0.0 \n", "\n", " total_oscar_nominations_top_star_2 total_oscar_wins_top_star_3 \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "3 0.0 1.0 \n", "5 0.0 0.0 \n", "6 1.0 0.0 \n", "\n", " total_oscar_nominations_top_star_3 summed_oscar_wins_stars \\\n", "0 2.0 0.0 \n", "1 0.0 0.0 \n", "3 1.0 1.0 \n", "5 0.0 0.0 \n", "6 0.0 0.0 \n", "\n", " summed_oscar_nominations_stars stars_own_or_won_an_oscar_before_or_after \\\n", "0 2.0 N \n", "1 0.0 N \n", "3 1.0 Y \n", "5 0.0 N \n", "6 3.0 N \n", "\n", " is_among_best_director top_production_company_grouped \n", "0 N Columbia Pictures \n", "1 Y Warner Bros. \n", "3 Y Other \n", "5 Y Other \n", "6 N Other " ] }, "execution_count": 168, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v1.head()" ] }, { "cell_type": "code", "execution_count": null, "id": "ae8c5dd2", "metadata": {}, "outputs": [], "source": [ "movies_filtered_v1['top_production_company'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 170, "id": "e419abe3", "metadata": {}, "outputs": [], "source": [ "movies_filtered_v1['top_production_company']= movies_filtered_v1['top_production_company'].fillna('Other')" ] }, { "cell_type": "code", "execution_count": 171, "id": "ddd8fc12", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0" ] }, "execution_count": 171, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v1['top_production_company'].isna().sum()" ] }, { "cell_type": "code", "execution_count": 172, "id": "17a389a4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "United States 692\n", "United Kingdom 101\n", "Canada 16\n", "China 16\n", "France 9\n", "Germany 6\n", "Australia 6\n", "Hong Kong 5\n", "Ireland 5\n", "Japan 4\n", "Finland 3\n", "Spain 3\n", "Italy 3\n", "India 3\n", "Czech Republic 3\n", "Mexico 2\n", "Chile 2\n", "Israel 1\n", "Russia 1\n", "Norway 1\n", "South Korea 1\n", "Panama 1\n", "Iceland 1\n", "Thailand 1\n", "Poland 1\n", "United Arab Emirates 1\n", "Switzerland 1\n", "Denmark 1\n", "New Zealand 1\n", "Georgia 1\n", "Belgium 1\n", "Name: country_of_origin, dtype: int64" ] }, "execution_count": 172, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v1['country_of_origin'].value_counts()" ] }, { "cell_type": "code", "execution_count": 173, "id": "c2e34aae", "metadata": {}, "outputs": [], "source": [ "def group_country(df):\n", "\n", " df['country_of_origin_grouped'] = '' #creating an empty column\n", " \n", " for i in df.index:\n", " if df['country_of_origin'][i] != 'United States':\n", " df['country_of_origin_grouped'][i] = 'Other' \n", " \n", " else:\n", " df['country_of_origin_grouped'][i] = df['country_of_origin'][i]\n", " \n", " return df\n" ] }, { "cell_type": "code", "execution_count": 174, "id": "bb7c110b", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/2431420963.py:10: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['country_of_origin_grouped'][i] = df['country_of_origin'][i]\n", "/var/folders/33/p_3l01b14g96rn22vzwly2g00000gn/T/ipykernel_62134/2431420963.py:7: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['country_of_origin_grouped'][i] = 'Other'\n" ] } ], "source": [ "movies_filtered_v2 = group_country(movies_filtered_v1)" ] }, { "cell_type": "code", "execution_count": 175, "id": "26790f30", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "United States 692\n", "Other 201\n", "Name: country_of_origin_grouped, dtype: int64" ] }, "execution_count": 175, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2['country_of_origin_grouped'].value_counts()" ] }, { "cell_type": "code", "execution_count": 176, "id": "b769ec33", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlemovie_idmovie_imdb_linkcertificateruntime_in_minsgenreimdb_ratingnumber_of_votesmetascoretop_directorrelease_yearawards_linkawards_totaltop_writertop_star_1top_star_2top_star_3num_user_reviewsnum_critic_reviewsrelease_datecountry_of_origintop_production_companybudget_in_usdopening_weekend_us_can_in_usdgross_us_can_in_usdgross_worldwide_in_usdtotal_award_nominationstotal_award_winsprimary_genresecondary_genrerelease_weekdayrelease_monthoscar_winoscar_nominationtotal_oscar_wins_top_star_1total_oscar_nominations_top_star_1total_oscar_wins_top_star_2total_oscar_nominations_top_star_2total_oscar_wins_top_star_3total_oscar_nominations_top_star_3summed_oscar_wins_starssummed_oscar_nominations_starsstars_own_or_won_an_oscar_before_or_afteris_among_best_directortop_production_company_groupedcountry_of_origin_grouped
0Spider-Man: No Way Homett10872600https://www.imdb.com/title/tt10872600/?ref_=ad...+13/14148.0Action, Adventure, Fantasy8.373908671Jon Watts2021https://www.imdb.com/title/tt10872600/awards/?...Showing all 34 wins and 66 nominationsChris McKennaTom HollandZendayaBenedict Cumberbatch6100.0412.02021-12-17United StatesColumbia Pictures200000000.0260138569.0814115070.01.916279e+0966.034.0ActionAdventure512.0NN0.00.00.00.00.02.00.02.0NNColumbia PicturesUnited States
1Dunett1160419https://www.imdb.com/title/tt1160419/?ref_=adv...+13/14155.0Action, Adventure, Drama8.062106974Denis Villeneuve2021https://www.imdb.com/title/tt1160419/awards/?r...Showing all 164 wins and 280 nominationsJon SpaihtsTimothée ChalametRebecca FergusonZendaya5600.0509.02021-10-22CanadaWarner Bros.165000000.041011174.0108327830.04.018479e+08280.0164.0ActionAdventure510.0NY0.00.00.00.00.00.00.00.0NYWarner Bros.Other
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" ], "text/plain": [ " title movie_id \\\n", "0 Spider-Man: No Way Home tt10872600 \n", "1 Dune tt1160419 \n", "\n", " movie_imdb_link certificate \\\n", "0 https://www.imdb.com/title/tt10872600/?ref_=ad... +13/14 \n", "1 https://www.imdb.com/title/tt1160419/?ref_=adv... +13/14 \n", "\n", " runtime_in_mins genre imdb_rating number_of_votes \\\n", "0 148.0 Action, Adventure, Fantasy 8.3 739086 \n", "1 155.0 Action, Adventure, Drama 8.0 621069 \n", "\n", " metascore top_director release_year \\\n", "0 71 Jon Watts 2021 \n", "1 74 Denis Villeneuve 2021 \n", "\n", " awards_link \\\n", "0 https://www.imdb.com/title/tt10872600/awards/?... \n", "1 https://www.imdb.com/title/tt1160419/awards/?r... \n", "\n", " awards_total top_writer top_star_1 \\\n", "0 Showing all 34 wins and 66 nominations Chris McKenna Tom Holland \n", "1 Showing all 164 wins and 280 nominations Jon Spaihts Timothée Chalamet \n", "\n", " top_star_2 top_star_3 num_user_reviews \\\n", "0 Zendaya Benedict Cumberbatch 6100.0 \n", "1 Rebecca Ferguson Zendaya 5600.0 \n", "\n", " num_critic_reviews release_date country_of_origin top_production_company \\\n", "0 412.0 2021-12-17 United States Columbia Pictures \n", "1 509.0 2021-10-22 Canada Warner Bros. \n", "\n", " budget_in_usd opening_weekend_us_can_in_usd gross_us_can_in_usd \\\n", "0 200000000.0 260138569.0 814115070.0 \n", "1 165000000.0 41011174.0 108327830.0 \n", "\n", " gross_worldwide_in_usd total_award_nominations total_award_wins \\\n", "0 1.916279e+09 66.0 34.0 \n", "1 4.018479e+08 280.0 164.0 \n", "\n", " primary_genre secondary_genre release_weekday release_month oscar_win \\\n", "0 Action Adventure 5 12.0 N \n", "1 Action Adventure 5 10.0 N \n", "\n", " oscar_nomination total_oscar_wins_top_star_1 \\\n", "0 N 0.0 \n", "1 Y 0.0 \n", "\n", " total_oscar_nominations_top_star_1 total_oscar_wins_top_star_2 \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "\n", " total_oscar_nominations_top_star_2 total_oscar_wins_top_star_3 \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "\n", " total_oscar_nominations_top_star_3 summed_oscar_wins_stars \\\n", "0 2.0 0.0 \n", "1 0.0 0.0 \n", "\n", " summed_oscar_nominations_stars stars_own_or_won_an_oscar_before_or_after \\\n", "0 2.0 N \n", "1 0.0 N \n", "\n", " is_among_best_director top_production_company_grouped \\\n", "0 N Columbia Pictures \n", "1 Y Warner Bros. \n", "\n", " country_of_origin_grouped \n", "0 United States \n", "1 Other " ] }, "execution_count": 176, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2.head(2)" ] }, { "cell_type": "code", "execution_count": 177, "id": "0d762ceb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Action 281\n", "Comedy 149\n", "Drama 142\n", "Biography 101\n", "Animation 73\n", "Adventure 52\n", "Horror 45\n", "Crime 38\n", "Fantasy 4\n", "Thriller 4\n", "Romance 1\n", "Music 1\n", "Mystery 1\n", "Musical 1\n", "Name: primary_genre, dtype: int64" ] }, "execution_count": 177, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2['primary_genre'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": null, "id": "f4c1e2c1", "metadata": { "scrolled": true }, "outputs": [], "source": [ "movies_filtered_v2['secondary_genre'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 179, "id": "8679657f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Action 281\n", "Comedy 149\n", "Drama 142\n", "Biography 101\n", "Animation 73\n", "Adventure 52\n", "Horror 45\n", "Crime 38\n", "Other 12\n", "Name: primary_genre, dtype: int64" ] }, "execution_count": 179, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2['primary_genre']= movies_filtered_v2['primary_genre'].replace({'Fantasy': 'Other',\n", " 'Thriller': 'Other','Romance': 'Other', 'Music': 'Other', 'Mystery': 'Other', 'Musical': 'Other' })\n", "\n", "movies_filtered_v2['primary_genre'].value_counts(dropna=False)\n" ] }, { "cell_type": "code", "execution_count": 180, "id": "42d60108", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Drama 223\n", "Other 201\n", "Adventure 197\n", "Comedy 73\n", "Crime 66\n", "Horror 47\n", "Thriller 45\n", "Romance 41\n", "Name: secondary_genre, dtype: int64" ] }, "execution_count": 180, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2['secondary_genre']= movies_filtered_v2['secondary_genre'].replace({'Mystery': 'Other',\n", " 'Fantasy': 'Other','Family': 'Other', 'Biography': 'Other', 'Action': 'Other', 'Sci': 'Other',\n", " 'History': 'Other','Music': 'Other', 'Sport': 'Other', 'War': 'Other', 'Musical': 'Other', \n", " 'Western': 'Other'})\n", "\n", "movies_filtered_v2['secondary_genre'].value_counts(dropna=False)\n" ] }, { "cell_type": "markdown", "id": "31b235d4", "metadata": {}, "source": [ "## Plots" ] }, { "cell_type": "code", "execution_count": 181, "id": "e7e546e8", "metadata": {}, "outputs": [], "source": [ "def plot_countplot(df): # suitable for categorical and discrete-numerical columns\n", " for column in df.columns:\n", " sns.countplot(x=df[column])\n", " plt.show()\n", " return None\n", "\n", "def plot_displot(df): #suitable for continuous numerical columns\n", " for column in df.columns:\n", " sns.displot(df[column], kde=True)\n", " plt.show()\n", " return None\n" ] }, { "cell_type": "code", "execution_count": 182, "id": "834dabff", "metadata": {}, "outputs": [], "source": [ "def cat_to_plot(df):\n", " \n", " plot_lst = []\n", " not_plot_lst = []\n", " \n", " for column in df.columns: \n", " if len(df[column].unique()) < 15: \n", " plot_lst.append(column)\n", " else:\n", " not_plot_lst.append(column)\n", " \n", " plot_df= df[plot_lst]\n", " \n", " return plot_df" ] }, { "cell_type": "code", "execution_count": 183, "id": "40832a41", "metadata": {}, "outputs": [], "source": [ "numericals_df=movies_filtered_v2.select_dtypes(np.number)\n", "categoricals_df=movies_filtered_v2.select_dtypes(object)" ] }, { "cell_type": "code", "execution_count": 184, "id": "8127d0e0", "metadata": {}, "outputs": [], "source": [ "#numericals_df.columns\n", "numericals_df= numericals_df.drop(['total_oscar_wins_top_star_1', 'total_oscar_nominations_top_star_1',\n", " 'total_oscar_wins_top_star_2', 'total_oscar_nominations_top_star_2',\n", " 'total_oscar_wins_top_star_3', 'total_oscar_nominations_top_star_3',], axis=1)" ] }, { "cell_type": "code", "execution_count": 185, "id": "a1043c20", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['runtime_in_mins', 'imdb_rating', 'number_of_votes', 'metascore',\n", " 'num_user_reviews', 'num_critic_reviews', 'budget_in_usd',\n", " 'opening_weekend_us_can_in_usd', 'gross_us_can_in_usd',\n", " 'gross_worldwide_in_usd', 'total_award_nominations', 'total_award_wins',\n", " 'summed_oscar_wins_stars', 'summed_oscar_nominations_stars'],\n", " dtype='object')" ] }, "execution_count": 185, "metadata": {}, "output_type": "execute_result" } ], "source": [ "numericals_df.columns" ] }, { "cell_type": "code", "execution_count": 186, "id": "091d9d31", "metadata": {}, "outputs": [], "source": [ "# categoricals_df.columns\n", "categoricals_df = categoricals_df.drop(['title', 'movie_id', 'movie_imdb_link', 'genre',\n", " 'top_director', 'awards_link', 'awards_total',\n", " 'top_writer', 'top_star_1', 'top_star_2', 'top_star_3',\n", " 'country_of_origin', 'top_production_company'], axis=1)" ] }, { "cell_type": "code", "execution_count": 187, "id": "d76c33e8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['certificate', 'release_year', 'primary_genre', 'secondary_genre',\n", " 'release_weekday', 'release_month', 'oscar_win', 'oscar_nomination',\n", " 'stars_own_or_won_an_oscar_before_or_after', 'is_among_best_director',\n", " 'top_production_company_grouped', 'country_of_origin_grouped'],\n", " dtype='object')" ] }, "execution_count": 187, "metadata": {}, "output_type": "execute_result" } ], "source": [ "categoricals_df.columns\n" ] }, { "cell_type": "code", "execution_count": 188, "id": "1b7dfbb4", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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PAtM9+fZ6YBfwNAb/wPrB0H33HewXV9UPk3yNwZHKTcCXgV8FngxsnWaX4e8R2Ad4+ki98EhBc9nngXOSHNN9/+9vMfhX+P9V1VXAZcAzgK8AT0ryTIDu+YT5wBMYHEE8ALySwamnH/f3v7G7vJHB9xHfVr76Q2PkkYLmrKq6NcmHgA3d0vuBxwEbkjzA4FTSH1XV/d0Tzu/pnuD9PvBC4ArgmiTnAZ/lYY4OpnEj8BfAF7tvF/sB0586kmaML0mVJDWePpIkNZ4+knqU5KeA9dPctayqvjnT80gPx9NHkqTG00eSpMYoSJIaoyBJaoyCJKn5f4dPjXq9qhHsAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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JtHcGa3cfGrC6zGx4GlYBDFBeJip7OcLhlbMmIMHqHQcHsCozG46GXQD3ZdyoSi6bOoand5x7GQszs/7lAO7GsjkTWLPzIO0dvjiPmRWPA7gbr54zkZdOd7C1+WjqUsxsCCvaiRiDTWdHBw0NDQDUnGoDYN3uw1wxfVzKssxsCHMAZw407+Gu+sPMa6mgdc9OxoyYw/rGQ/zaa2alLs3MhigHcJ4JU+u4ZPZ8ABYer/KhaGZWVO4D7sHCyVXUNx/1CRlmVjQO4B4snFxFZ8DGPUdSl2JmQ5QDuAcLJ1UBsM7dEGZWJA7gHkwYWU7d+JGsazyUuhQzG6IcwL1YOnO8A9jMisYB3IslM8ex+8AJXjx2qu+JzczOkwO4F113xVjfeLj3Cc3MLoADuBdX1Y2jTLgbwsyKwgHci9FVFSyYMsZHQphZUTiA+7Bk5jjWNR4mIlKXYmZDjAO4D0tmjufAS6dpPHgidSlmNsQ4gPuwJPsizteFMLP+5gDuw2WXjGFERRnr/UWcmfUzB3AfKsvLuHL6WNbt9qFoZta/HMAFWDJzPBv2HPYtisysXzmAC7B05nhOtHWwreVY6lLMbAhxABeg64w4Hw9sZv3JAVyAOZNGMba6gnU+JdnM+pEDuACSWDJzvPeAzaxfOYALtHTmeLY2H+XE6Y7UpZjZEOEALtCSGePp6Aw2Nbkbwsz6hwO4QK+YOQ7A/cBm1m98W/pudHZ00NDQcFbbwoULqRs/kjW7DnIrcxNVZmZDiQO4Gwea93BX/WHmteQ2z/6mnXz8Rlg2ZwJPPP8iEYGkxFWa2WCXJIAl7QCOAh1Ae0QskzQR+DYwB9gBvDsiDqaoD2DC1DoumT3/rLZXz5nIfWub2HXgOLMnjU5UmZkNFSn7gH8hIpZGxLLs+SeAlRGxAFiZPS8py+dOBGDV9gOJKzGzoaCUvoRbAdyZDd8JvCtdKd2bX1vDhFGVDmAz6xepAjiA/5D0jKTbsrapEbEXIPs5pbsZJd0mabWk1a2trQNUbk5ZmVg2ZyKrdjiAzezipQrgN0TEK4F3AB+S9KZCZ4yIOyJiWUQsq62tLV6FPXjN3InsfPE4TYd8hwwzuzhJAjgimrKfLcD3geVAs6RpANnPlhS19eWaBZMBeLxhf+JKzGywG/AAljRa0piuYeAXgY3A/cAt2WS3APcNdG2FuGzqGCbXVPH4NgewmV2cFIehTQW+nx1HWwH8S0Q8KOlp4F5JtwK7gJsS1NYnSVwzfxI/27afzs6grMzHA5vZhRnwAI6IF4Al3bS/CFw30PUU4twz414/byL/traJ5/YdZfH0sQkrM7PBzGfCFSD/zLj9TTv59Xe+AYBH6lscwGZ2wUrpOOCS1nVm3OTps5k0qoKr6sbx083Nqcsys0HMAXyB3rpoKs/uPkTr0VOpSzGzQcoBfIHetngqEfDwcyV5tJyZDQIO4Au0aNoY6saP5Meb9qUuxcwGKQfwBZLEO6+6hMe2tXLo+OnU5ZjZIOQAvggrltbR1hH8aKP3gs3s/DmAL8IV08cyr3Y0963dk7oUMxuEHMAXQRIrltTx1PYDNB48nrocMxtkHMDnqeusuM2bN7N582ZuWHoJAu5etSt1aWY2yDiAz9OB5j3c9egW7vyvHXz+O49yrGU3b7l8Ct9+ejen2ztTl2dmg4gD+AJ0nRU3ceoMGhoaeON0sf/YaR5Y575gMyucA/gidO0Nb9rRzCi18Xc/fY6ISF2WmQ0SDuCLNGFqHdPmLODK2kpeOHiaR7YO7G2SzGzwcgD3k9ljoHZ0OX+zcpv3gs2sIA7gflIm8b4lE1i7+xA/WL83dTlmNgg4gPvRdfNqWDxtLH/xo+c4cbojdTlmVuIcwP2ks6OD7S88zy1XjWLPoRP85YNbUpdkZiXOAdxPuo6IWPNCM3UVR/n6f+1k1fYDqcsysxLmAO5HXccHv2bWGC4ZU8FH7l5Dy9GTqcsysxLlAC6CyjLxJ9dO5ciJdn7nrmc4fro9dUlmVoIcwEUyd8IIvvieJazdfYjfvusZTrb5SzkzO5sDuIiuv3Iaf3njEh5v2M8Nf/swT6zZwObNm2lv9x6xmTmAi+7GV83gk2+awtbWE/zm93bxJ99+kvr6+tRlmVkJcAAPgGtmj+a6GWWMqKxkzampfPE/W303ZTOjInUBw8XEavFry2fx0NoGHnrhKG/6y5X86qKxvHNhDeNHjQBg4cKFVFT4LTEbLvzXPoBGVJQxo62REadP8OLIhXxz/WH+Zd0BFk4oZ9LJPfzxu2Hx4sWpyzSzAeIuiASmTa3lptctYHn1PqZUdbD1EPzXyTo+83Azj9W30tnpi/mYDQfeA05oTFkbrxj1EnWXL+TJLTvY0nqSD3xtFbMmjuRtc0fytktrGFtdDrh7wmwo8l90CRg7spIrx3fywcs6aK68hO+ua+Grz5zgn585wPTRMKm9hT+/KXjFlVekLtXM+pEDuEQcaN7DPfWHmbeognFNq3jd9Ms5MW42W/cdpbFtCh/4zi5u2A7vuHIar5o9gfIy0d7eftYhbd5LNhtc/NdaQrquJbG/aRflFZ0sX1jLNfMns/a5Bjorq/nWk7v45//cweSaEbx10VQuG3OaR55YzSV1s9jftJOP3+gv8cwGEwdwEXTdur5LQ0MDnZ0X9n1neZmYVt3JG6cd5fdfP4+ndh/jycYT3Le2kRNtgZjBlJYRTBgxi6cbj1M78xS1Y6rOzH/uXjKc355yb/N7D9zs4vivpQgONO/hrvrDzGvJbd5ta1czedZCpl/s8hZVsG3tk5RXjeaXLr+SdRu30DFhDic1kvpD8KmHmvnUQ81MGVPFFdPHsnj6WCpPHubRNZuou2QqIyvgwN5dfe4p5wdrQ0MD/7amkdoZcwDO2tOur6/n8995lMnTZ1/QHnj+63Sdnt0V4A5zGw78G14kXd0JAPubdvXb8vY37aK8uoa6OQs4uHc35dUnWXT1THY1bGVGTXByZC0N+0/ywr5DPFrfSu6Itqk8uxMkGKGZbPjXF5hU00TNiDImjBtDZXk55WWivEwAHDh4iC27W6gaOZqjhw4zYuQ0ag6NojOCU8zi0w/tY8aG07SfOMq+6ll0lE3m1JhgQ/MJqmqPMbmmirHVFUjqdZ3yA7zrg2XeoqvOCvOL3YM3K2Ul91ss6Xrgb4By4CsR8dnEJQ0KR1r38GRDbi/58MYnmVI1muWXX8nm9WupvuRSxtddypGTbTQ17ub4Sx0cQDSePM3El9qpqBxBR2dw8tRpADra2zhZNor2zhG0VY6hvVPEyXYkaGsPmg4eZ+ehNg6faONkh+BA7k7QT/x4H/x4H5A76aS2popJoyupoo0R5aKiTJSVwaTx45HEwUOHeL58Fk3Hajg47kpUXsGRozWcKJvFXzzWwsQNpzn10hE2vrCHsWPHUlEGJw618rp5zzN3xjRGVpZx+fw5jBtVRXU5NO3azohyIanbkE4d5qlfvzfuTkqjpLawpHLg74G3AY3A05Luj4jNaSsbHM7dS54+ZwEH9u6mvLKdRXXjANjYsp7ysTUsunoBTS9s5Y3TTjJ//oyzuhq2rV3F5FkLWXT1cjY+8RDl1TUsunpRbv4nHuLIocPMW3QV29auYuLMhcy98pWsf/oJDh47wYS6ubx44CBLFs4hqmrYsfcAz+07jCpH0Bm5P/SakSeprKykva2Nl05DRdsJTndWoRDHj5ykox3aXzxF+ZEDHDl+imMdY9l15uYitWytB+qbc09/fPYNUAWU0UlVxQtUV1ZQUZa7PnNFuehsO83h46eorq6mDGg/fZzL6pqZPHE8FYLjLx2lskxUlokptZOorqygXMHhgy9SUSYqy8XM6ZdQPaKSyvIyKhS07Gs6M+7SubOpHlFJmXI3ae16SFBWJp5v2MYdDzzBpKkzQHBwXyMfXtHBossvP2va8rKueenzv4iuO3BHQGcEnQFtbW1s3baNiFz7vEsvpay8nM4z08RZ03d2BvXbtvGVH61iwpTpHGhp4td/8TQLFsynXDrz31FF2cvDZz2yafqqdTDq+mCKbFstWLCA6qoR/bb8kgpgYDnQEBEvAEi6B1gB9GsA72/aCcDBlibKq0azb2dDj8OFTleq8/e2rOc3PM2zjx9ixpwd7KrfyKQZl1KbbaODzXt6nb/L4ZY9HNk7kbb9OxlXNZo5Y0TN0aO8edwB5s+fSEP1Me47vI/J02dn276JFUvrmD9/Fg0NDdy3dk/WBfFMrgti3lXsb9rFiqvqmD9/5plpJk6bRXsnbNv4LIyoYercBbzY2sKr5kxi3OSp7Gpq4dnGI4yoGc+Lzc2cOtZG1ZjxHD1yCMorqR49huMvHaOiuoYIOB3Q1lnB860vsf3gaU6cauPoyTYoywUVOkQn3QXK/l5+s5oK+O2bATteHn7snl1A711UZXllZHnL+Z0rubPA6aZnpUznyfv3AHvO61VyHzxdHyBkwZz7MCo/86F09jxd6/Hyep29gnHOdH23R7fLPfs1zqkhb94AOiPvA60zst+HXOELJzXxH3/4tl63w/lQxPm9lcUk6Ubg+oj4YPb8/cBrIuLDedPcBtyWPb0M2HoBLzWZ3v+SSt1grx8G/zoM9vph8K/DYKp/f0Rcf25jqe0Bd7fLcdYnRETcAdxxUS8irY6IZRezjJQGe/0w+NdhsNcPg38dBnv9UHoX42kEZuY9n0Fh/9eZmQ06pRbATwMLJM2VNAK4Gbg/cU1mZkVRUl0QEdEu6cPAj8kdhva1iNhUhJe6qC6MEjDY64fBvw6DvX4Y/Osw2OsvrS/hzMyGk1LrgjAzGzYcwGZmiQzpAJZ0vaStkhokfaKb8ZL0t9n49ZJemaLOnhRQ/7WSDktamz3+NEWdPZH0NUktkjb2ML7Ut39f9Zf69p8p6WFJWyRtkvTRbqYp9fegkHUo6fehVxExJB/kvsR7HpgHjADWAYvPmeadwI/IHX/8WuCp1HWfZ/3XAv+eutZe1uFNwCuBjT2ML9ntX2D9pb79pwGvzIbHAPWD6W/gPNahpN+H3h5DeQ/4zGnNEXEa6DqtOd8K4BuR8yQwXtK0gS60B4XUX9Ii4jHgQC+TlPL2L6T+khYReyNiTTZ8FNgC1J0zWam/B4Wsw6A1lAO4Dtid97yRn3/jCpkmlUJre52kdZJ+JGmw3TSulLd/oQbF9pc0B7gaeOqcUYPmPehlHWCQvA/nKqnjgPtZn6c1FzhNKoXUtgaYHRHHJL0T+DdgQbEL60elvP0LMSi2v6Qa4LvAxyLiyLmju5ml5N6DPtZhULwP3RnKe8CFnNZcyqc+91lbRByJiGPZ8A+BSkmTB67Ei1bK279Pg2H7S6okF1zfiojvdTNJyb8Hfa3DYHgfejKUA7iQ05rvBz6QfRP8WuBwROw9d0GJ9Fm/pEuUXYRV0nJy7+eLA17phSvl7d+nUt/+WW1fBbZExBd6mKyk34NC1qHU34feDNkuiOjhtGZJv5ON/wfgh+S+BW4AjgO/karecxVY/43A/5DUDpwAbo7sa+FSIOluct9QT5bUCHwKqITS3/5QUP0lvf2BNwDvBzZIWpu1/REwCwbHe0Bh61Dq70OPfCqymVkiQ7kLwsyspDmAzcwScQCbmSXiADYzS8QBbGbWg74uyHTOtLMlrcwuavSIpBl9zeMANjPr2deBn7ubcQ8+R+66Gq8APgP8375mcADbsCHpWA/tX5d0Y4HL+Iykt3bTfq2kf7+AmpZJ+tvzne9iSdoxWM4WS6m7CzJJulTSg5KekfQzSZdnoxYDK7Phhyng4lkOYOsXkkr2pB5J5f21rIj404j4aT8ub3VE/G5/Lc8GxB3ARyLiVcAfAF/K2tcBv5oN3wCMkTSptwU5gK0gkv63pOck/UTS3ZL+IOvn+j+SHgU+Kuk6Sc9K2pD1nVVl835W0uasb+xzWdtNkjZmV7B6rJfX/aGkV2TDzyq72LakP5f0wewU2r/KlrVB0nuy8dcqdyHvfwE2nLNMSfp/WU0PAFOy9uWSvpcNr5B0QtIISdWSXsjaz+wtK3fB/OckPQ78St7yR2fr/3RWc497Qvl7zpI+nc33iKQXJPUYzJLm5PdLZu/Hp7Ph383b3vdkbZMk/UdWzz/S/UV4rA/KXRTo9cC/Zmfm/SO5axZDLozfLOlZ4M3AHqC9t+WV7F6LlQ5Jy8h9sl9N7ndmDfBMNnp8RLxZUjWwDbguIuolfYPc6aHfILc3cHlEhKTx2Xx/Crw9IvbktXXnMeCNknaQ+2V+Q9Z+DfBNcsG3FFgCTAaezgv05cCVEbH9nGXeAFwGXAVMBTYDX8vW6+psmjcCG4FXZ+t81iUQs/X9J+At5E7j/Xbe6D8GHoqI38zWbZWkn0bES72sZ5fLgV8gd/HxrZK+HBFtBcyX7xPA3Ig4lbdtPwU8HhGfkfRLwG3nuUzLKQMORcTSc0dERBPZB3EW1L8aEYf7WphZX64B7ouIE9lFsX+QN64reC4DtkdEffb8TnJ3lDgCnAS+IulXyF1vAOA/ga9L+i1y17royc+y5VwDPADUSBoFzImIrVn73RHRERHNwKPkQhNgVTfhS7a8rnmagIcgd/0NoEHSInLh/YVs2jdmdeS7PFvfbdl1B76ZN+4XgU9ke0iPANVk1y4owAMRcSoi9gMt5D4gztd64FuS/jsv74G9qavGiHgAOHgByx32skthbpd0E5z5b2pJNjxZUlemfpLch3qvHMBWiN7+XX2pt2myUFtO7nKC7wIezNp/B/gTcpdCXNtLX9nTwDJyIfgY8CzwW7y8B15Ibd2W1kP7z4B3AG3AT8kF/DXZaxe6DJHb+1maPWZFxJZeasl3Km+4g57/S23n7L/f6rzhXwL+HngV8Exe/7wv/HKelLsg0xPAZZIaJd0KvA+4VdI6YBMvf9l2Lbn/WurJfXDe3tfyHcBWiMeB/5b1hdaQ+wM/13PAHEnzs+fvBx7Nph+XXaf1Y+S6C5B0aUQ8FRF/Cuzn7GvSnpHdjmk38G7gSXIB+Qe8vEf6GPAeSeWSasnt6a3qY30eA27O5plG7l/+/HEfA56IiFZgErm93U3drO9cSZdmz9+bN+7HwEekM5dIvJr+1wxMyfp2q4Bfzl6rDJgZEQ8D/wsYD9Rk6/W+bJp3ABOKUNOQExHvjYhpEVEZETMi4qsRsT0iro+IJRGxOCI+k037nYhYEBELI+KDEXGqr+W7D9j6FBFPS7qf3Le8O4HVwOFzpjkp6TfIfTlRQW7P9R+AicB9WZ+pgN/LZvkrSQuytpXZsnvyM3J9y8cl/YzcRcO7Avj7wOuy+QP4XxGxTy8fGtSd75Pru91A7iaPj+aNe4rc3kvXHu96oOXcyxtm63sb8ICk/eQ+pK7MRv858NfA+iyEd5AFZH+JiDZJn8nq3U7uAwFy3TnflDSO3Lb9YkQckvRnwN2S1mTru6s/67EL48tRWkEk1WS3fBlFLpxu67pZopldGO8BW6HukLSYXF/jnQ5fs4vnPWArCZLeDvzFOc3bI+KGFPX0twtdv+zLyZXdjLouIgbFbXesZw5gM7NEfBSEmVkiDmAzs0QcwGZmiTiAzcwS+f8RLw48HeS6tgAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_displot(numericals_df)" ] }, { "cell_type": "code", "execution_count": null, "id": "7383d545", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "0be5d48d", "metadata": {}, "source": [ "# Final check" ] }, { "cell_type": "code", "execution_count": 190, "id": "bebe2f50", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "title 0\n", "movie_id 0\n", "movie_imdb_link 0\n", "certificate 8\n", "runtime_in_mins 0\n", "genre 0\n", "imdb_rating 0\n", "number_of_votes 0\n", "metascore 0\n", "top_director 0\n", "release_year 0\n", "awards_link 0\n", "awards_total 0\n", "top_writer 0\n", "top_star_1 0\n", "top_star_2 0\n", "top_star_3 0\n", "num_user_reviews 0\n", "num_critic_reviews 6\n", "release_date 0\n", "country_of_origin 0\n", "top_production_company 0\n", "budget_in_usd 0\n", "opening_weekend_us_can_in_usd 0\n", "gross_us_can_in_usd 0\n", "gross_worldwide_in_usd 0\n", "total_award_nominations 0\n", "total_award_wins 0\n", "primary_genre 0\n", "secondary_genre 0\n", "release_weekday 0\n", "release_month 0\n", "oscar_win 0\n", "oscar_nomination 0\n", "total_oscar_wins_top_star_1 0\n", "total_oscar_nominations_top_star_1 0\n", "total_oscar_wins_top_star_2 0\n", "total_oscar_nominations_top_star_2 0\n", "total_oscar_wins_top_star_3 0\n", "total_oscar_nominations_top_star_3 0\n", "summed_oscar_wins_stars 0\n", "summed_oscar_nominations_stars 0\n", "stars_own_or_won_an_oscar_before_or_after 0\n", "is_among_best_director 0\n", "top_production_company_grouped 0\n", "country_of_origin_grouped 0\n", "dtype: int64" ] }, "execution_count": 190, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2.isna().sum()" ] }, { "cell_type": "code", "execution_count": 191, "id": "3f282f40", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Adult 372\n", "+13/14 354\n", "Parental Guidance 136\n", "Not Rated 19\n", "NaN 8\n", "Suitable for all 4\n", "Name: certificate, dtype: int64" ] }, "execution_count": 191, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2['certificate'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 192, "id": "18de17dc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Adult 372\n", "+13/14 354\n", "Parental Guidance 136\n", "Not Rated 27\n", "Suitable for all 4\n", "Name: certificate, dtype: int64" ] }, "execution_count": 192, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2['certificate']=movies_filtered_v2['certificate'].fillna('Not Rated')\n", "movies_filtered_v2['certificate'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 193, "id": "2956de0e", "metadata": {}, "outputs": [], "source": [ "movies_filtered_v2['num_critic_reviews']=movies_filtered_v2['num_critic_reviews'].fillna(0)" ] }, { "cell_type": "code", "execution_count": 194, "id": "cd8da770", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0" ] }, "execution_count": 194, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2.isna().sum().sum()" ] }, { "cell_type": "code", "execution_count": 195, "id": "1a7f9139", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Other 746\n", "Universal Pictures 42\n", "Columbia Pictures 38\n", "Warner Bros. 35\n", "Paramount Pictures 32\n", "Name: top_production_company_grouped, dtype: int64" ] }, "execution_count": 195, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2['top_production_company_grouped'].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 196, "id": "df00ca7f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(893, 46)" ] }, "execution_count": 196, "metadata": {}, "output_type": "execute_result" } ], "source": [ "movies_filtered_v2.shape" ] }, { "cell_type": "code", "execution_count": null, "id": "b469ec24", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 197, "id": "3e8a3d28", "metadata": {}, "outputs": [], "source": [ "movies_filtered_v2.to_csv('movies_treated.csv')\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.12" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": true } }, "nbformat": 4, "nbformat_minor": 5 }