{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "saving-matrix",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"from lets_plot import *\n",
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "rough-following",
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv(\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "social-andrews",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p = (\n",
" ggplot(df, aes('cty', 'hwy', color='drv')) + \n",
" geom_point(tooltips=layer_tooltips()\n",
" .title('@manufacturer @model') \n",
" .line('@|@class')\n",
" .line('@|@year')) + \n",
" labs(\n",
" title='The plot title',\n",
" subtitle='The plot subtitle',\n",
" caption='The plot caption',\n",
" color='Drive type'\n",
" )\n",
") \n",
"p\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "acoustic-interstate",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p + theme(\n",
" title = element_text(size=18),\n",
" plot_title = element_text(face='bold'),\n",
" plot_caption = element_text(size=12, face='italic'),\n",
" axis_text = element_text(size=14, face='italic'),\n",
" tooltip_text = element_text(size=15)\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "desirable-passing",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# family\n",
"p + theme(\n",
" text = element_text(family='Times New Roman', size=15)\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": "3.7.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}