{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "sublime-compromise",
"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": "convertible-update",
"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": "latin-array",
"metadata": {},
"outputs": [],
"source": [
"p_plot = ggplot(df) + geom_point(aes('cty', 'hwy'))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "fabulous-hobby",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"w, h = 400, 300\n",
"e_rect = element_rect(color='#9e9eff', fill='#f0f8ff', size=8)\n",
"\n",
"# compare theme parameters: panel_background and panel_border\n",
"\n",
"bunch = GGBunch()\n",
"bunch.add_plot(p_plot + ggtitle(\"panel_background=e_rect\") + theme(panel_background=e_rect), 0, 0, w, h)\n",
"bunch.add_plot(p_plot + ggtitle(\"panel_border=e_rect\") + theme(panel_border=e_rect), w, 0, w, h)\n",
"bunch.show()"
]
}
],
"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
}