{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "adult-article",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from lets_plot import *\n",
"\n",
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "adjacent-suicide",
"metadata": {},
"outputs": [],
"source": [
"data = {\n",
" 'x': [1, 1, 2, 2, 2],\n",
" 'y' : [1, 3, 2, 1, -3],\n",
" 'grp': [\"a\", \"b\", \"a\", \"b\", \"c\"]\n",
"}\n",
"\n",
"p = ggplot(data, aes('x', 'y', group = 'grp')) + \\\n",
" geom_bar(aes(fill = 'grp'), stat = 'identity', color = 'black') + \\\n",
" scale_fill_brewer(palette = \"Pastel1\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "attended-jacksonville",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"w, h = 600, 400\n",
"\n",
"bunch = GGBunch()\n",
"bunch.add_plot(p + geom_label(aes(label = 'y'), position = 'stack') + ggtitle(\"Default\"), 0, 0)\n",
"bunch.add_plot(p + geom_label(aes(label = 'y'), position = position_stack(0.0)) + ggtitle(\"vjust = 0.0\"), w, 0)\n",
"bunch.add_plot(p + geom_label(aes(label = 'y'), position = position_stack(0.3)) + ggtitle(\"vjust = 0.3\"), 0, h)\n",
"bunch.add_plot(p + geom_label(aes(label = 'y'), position = position_stack(0.5)) + ggtitle(\"vjust = 0.5\"), w, h)\n",
"bunch.add_plot(p + geom_label(aes(label = 'y'), position = position_stack(0.7)) + ggtitle(\"vjust = 0.7\"), 0, 2*h)\n",
"bunch.add_plot(p + geom_label(aes(label = 'y'), position = position_stack(1.0)) + ggtitle(\"vjust = 1.0\"), w, 2*h)\n",
"bunch.show()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "decent-enterprise",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# position = 'fill' \n",
"\n",
"p2 = ggplot(data, aes('x', 'y', group = 'grp')) + \\\n",
" geom_bar(aes(fill = 'grp'), stat = 'identity', position = 'fill', color = 'black') + \\\n",
" scale_fill_brewer(palette = \"Pastel1\")\n",
"\n",
"p2 + geom_text(aes(label = 'y'), position = position_fill(0.5))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "atomic-philadelphia",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"\n",
"series = {\n",
" 'x': [1]*4 + [2] * 4 + [3] * 4 + [4] * 4,\n",
" 'type': ['a', 'b', 'c', 'd'] * 4,\n",
" 'value': np.random.poisson(100, size=16)\n",
"}\n",
"p3 = ggplot(series, aes('x', 'value', group = 'type')) + geom_area(aes(fill = 'type'), color = 'white') \n",
"p3"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "pacific-insurance",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# vjust=0.5 will center the labels inside the corresponding area\n",
"p3 + geom_label(aes(label = 'type'), position = position_stack(vjust = 0.5)) "
]
}
],
"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
}