{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "9bcfb6f2-51c4-4b60-8700-4bbe9566efe2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from lets_plot import *\n",
"import pandas as pd\n",
"\n",
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "6cc8dd57-fab8-4a5e-9971-826752410179",
"metadata": {},
"outputs": [],
"source": [
"iris = pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/iris.csv')\n",
"\n",
"p = ggplot(iris, aes(x='petal_length', fill='species')) + facet_wrap(facets='species', scales='free_x')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "a55b4bfa-d992-476d-99e8-0a0c33ccff9b",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gggrid([\n",
" ggplot(iris, aes(x='petal_length', fill='species')) \\\n",
" + facet_wrap(facets='species', scales='free_x') \\\n",
" + geom_histogram(alpha=.5, bins=3, threshold=0, show_legend=False),\n",
" ggplot(iris, aes(x='petal_length', fill='species')) \\\n",
" + facet_wrap(facets='species') \\\n",
" + geom_histogram(alpha=.5, bins=3, threshold=0, show_legend=False)\n",
"])"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "f1732195-f907-4e32-99d1-571c065effcb",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ggplot(iris, aes(x='petal_length', fill='species')) \\\n",
" + facet_wrap(facets='species', scales='free_x') \\\n",
" + geom_histogram(alpha=.5, bins=4, threshold=0)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "88a34ca8-c1d3-4a81-ade9-e61592336fa8",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p + geom_histogram(alpha=.5, bins=4, threshold=0)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "11fff3c8-a21f-4f17-8725-0317747378f6",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"np.random.seed(42)\n",
"x = np.random.poisson(size=100)\n",
"\n",
"ggplot({'x': x}, aes(x='x')) + geom_histogram() + scale_y_log2()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0aaef597-e0ef-4621-a539-5a39d37570de",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.8.18"
}
},
"nbformat": 4,
"nbformat_minor": 5
}