{
"cells": [
{
"cell_type": "markdown",
"id": "ed4d75f9-7071-4a88-a88d-690f99ef1d1d",
"metadata": {},
"source": [
"# Responsive Element Sizing with `size_unit='min'` and `size_unit='max'`\n",
"\n",
"\n",
"These options provide control over element sizing by automatically adapting to plot dimensions and aspect ratios.\n",
"\n",
"The `'min'` option is particularly useful for ensuring elements fit within plot boundaries regardless of the plot's size or form factor."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "78964b74-1284-4f63-82dd-c7f1872b6025",
"metadata": {},
"outputs": [],
"source": [
"from lets_plot import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "945229c6-c120-45e1-85b9-06383e55e918",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "e3156726-e9f3-4ff5-92b8-caa8020cc8a7",
"metadata": {},
"outputs": [],
"source": [
"data = {'name': ['a', 'b', 'c', 'd', 'b'], 'value': [40, 90, 10, 50, 20]}\n"
]
},
{
"cell_type": "markdown",
"id": "d1f11b35-2fef-4659-b904-ac78c11ba3c5",
"metadata": {},
"source": [
"#### `size_unit='min'`"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "5ca804b3-8511-4603-b17b-621e0afbaf3d",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pie_size_unit_min = (ggplot(data) \n",
" + geom_pie(aes(fill='name', weight='value'), \n",
" size=.95, # <-- set size in relative units\n",
" size_unit='min') # <-- set the size unit to the smaller of the unit steps along the x and y axes\n",
" )\n",
"ggbunch([\n",
" pie_size_unit_min,\n",
" pie_size_unit_min,\n",
" pie_size_unit_min,\n",
" pie_size_unit_min,\n",
" ],\n",
" regions=[\n",
" (0, 0, 0.6, 0.4),\n",
" (0.6, 0, 0.4, 0.7),\n",
" (0.1, 0.4, 0.3, 0.6),\n",
" (0.4, 0.7, 0.6, 0.3),\n",
" ]\n",
" \n",
") + theme_bw() + ggsize(800, 600)"
]
},
{
"cell_type": "markdown",
"id": "6401174f-4398-45a0-bd0c-ad01ee6c13bf",
"metadata": {},
"source": [
"#### `size_unit='max'`"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "6fb15c47-09a5-4645-99ae-e6be7055077a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pie_size_unit_max = (ggplot(data) \n",
" + geom_pie(aes(fill='name', weight='value'), \n",
" size=.95, # <-- set size in relative units\n",
" size_unit='max') # <-- set the size unit to the larger of the unit steps along the x and y axes\n",
" )\n",
"ggbunch([\n",
" pie_size_unit_max,\n",
" pie_size_unit_max,\n",
" pie_size_unit_max,\n",
" pie_size_unit_max,\n",
" ],\n",
" regions=[\n",
" (0, 0, 0.6, 0.4),\n",
" (0.6, 0, 0.4, 0.7),\n",
" (0.1, 0.4, 0.3, 0.6),\n",
" (0.4, 0.7, 0.6, 0.3),\n",
" ]\n",
" \n",
") + theme_bw() + ggsize(800, 600)"
]
}
],
"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": "3.9.23"
}
},
"nbformat": 4,
"nbformat_minor": 5
}