{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "f2a9d691",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from lets_plot import *\n",
"\n",
"def dump_plot(plot, display=None):\n",
" import json\n",
"\n",
" try:\n",
" import clipboard\n",
" except:\n",
" clipboard = None\n",
" \n",
" from lets_plot._type_utils import standardize_dict\n",
" \n",
" plot_dict = standardize_dict(plot.as_dict())\n",
" plot_json = json.dumps(plot_dict, indent=2)\n",
" \n",
" if clipboard:\n",
" clipboard.copy('')\n",
" clipboard.copy(str(plot_json))\n",
" else:\n",
" if display is None:\n",
" display = True\n",
" \n",
" if display:\n",
" print(plot_json)\n",
"\n",
" return plot\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "632b5308",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "57d71b80",
"metadata": {},
"outputs": [],
"source": [
"plot_data = pd.DataFrame.from_records([\n",
" (\"pet\", \"cat\", 5, \"carnivore\"),\n",
" (\"pet\", \"dog\", 10, \"carnivore\"),\n",
" (\"pet\", \"rabbit\", 2, \"herbivore\"),\n",
" (\"pet\", \"hamster\", 1, \"herbivore\"),\n",
"\n",
" (\"farm_animal\", \"cow\", 500, \"herbivore\"),\n",
" (\"farm_animal\", \"pig\", 100, \"carnivore\"),\n",
" (\"farm_animal\", \"horse\", 700, \"herbivore\"),\n",
"])\n",
"plot_data.columns = (\"animal_type\", \"animal\", \"weight\", \"diet\")\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "c2b38e6c",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot = (\n",
" ggplot(plot_data, aes(x=\"animal\", y=\"weight\"))\n",
" + geom_bar(stat=\"identity\")\n",
" + theme_bw()\n",
" + theme(\n",
" panel_grid_minor=element_blank()\n",
" )\n",
")\n",
"dump_plot(plot)"
]
},
{
"cell_type": "markdown",
"id": "e6b3addb",
"metadata": {},
"source": [
"#### Two facets, grid, free scales"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "d49c97ea",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot + facet_grid(x = \"animal_type\", scales=\"free\")"
]
},
{
"cell_type": "markdown",
"id": "009732d4",
"metadata": {},
"source": [
"#### Two facets, wrap, free scales"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "cc578600",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot + facet_wrap(facets=\"animal_type\", ncol=2, scales=\"free\")"
]
},
{
"cell_type": "markdown",
"id": "be5fb006",
"metadata": {},
"source": [
"#### Four facets, grid, free x"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "dfcffe78",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot + facet_grid(x=\"animal_type\", y=\"diet\", scales=\"free_x\")"
]
},
{
"cell_type": "markdown",
"id": "ac86f5cb",
"metadata": {},
"source": [
"#### Four facets, wrap, free x"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "c44f0d76",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot + facet_wrap(facets=[\"animal_type\", \"diet\"], ncol=2, scales=\"free_x\")"
]
},
{
"cell_type": "markdown",
"id": "763efd82",
"metadata": {},
"source": [
"#### Four facets, grid, free y"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "a0fda8bf",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot + facet_grid(x=\"animal_type\", y=\"diet\", scales=\"free_y\")"
]
},
{
"cell_type": "markdown",
"id": "447c81a8",
"metadata": {},
"source": [
"#### Four facets, wrap, free y"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "279c2c26",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot + facet_wrap(facets=[\"animal_type\", \"diet\"], ncol=2, scales=\"free_y\")"
]
},
{
"cell_type": "markdown",
"id": "ed178b59",
"metadata": {},
"source": [
"#### Four facets, grid, free scales"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "54415628",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot + facet_grid(x=\"animal_type\", y=\"diet\", scales=\"free\")"
]
},
{
"cell_type": "markdown",
"id": "f01f9d1a",
"metadata": {},
"source": [
"#### Four facets, wrap, free scales"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "375864f5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot + facet_wrap(facets=[\"animal_type\", \"diet\"], ncol=2, scales=\"free\")"
]
},
{
"cell_type": "markdown",
"id": "648003c3",
"metadata": {},
"source": [
"## Y-orientation"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "3dc987b2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot_y = (\n",
" ggplot(plot_data, aes(x=\"weight\", y=\"animal\"))\n",
" + geom_bar(stat=\"identity\", orientation=\"y\")\n",
" + theme_bw()\n",
" + theme(\n",
" panel_grid_minor=element_blank()\n",
" )\n",
")\n",
"plot_y"
]
},
{
"cell_type": "markdown",
"id": "488b572a",
"metadata": {},
"source": [
"#### Two facets, grid, free scales"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "0dd614c1",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot_y + facet_grid(y = \"animal_type\", scales=\"free_y\")"
]
},
{
"cell_type": "markdown",
"id": "cc13ed2f",
"metadata": {},
"source": [
"#### Two facets, wrap, free scales"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "310a5a2b",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot_y + facet_wrap(facets=\"animal_type\", ncol=2, scales=\"free\")"
]
},
{
"cell_type": "markdown",
"id": "f84e759c",
"metadata": {},
"source": [
"#### Four facets, grid, free x"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "15a97b25",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot_y + facet_grid(y=\"animal_type\", x=\"diet\", scales=\"free_x\")"
]
},
{
"cell_type": "markdown",
"id": "50f107a8",
"metadata": {},
"source": [
"#### Four facets, wrap, free x"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "0d1138c1",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot_y + facet_wrap(facets=[\"animal_type\", \"diet\"], ncol=2, scales=\"free_x\")"
]
},
{
"cell_type": "markdown",
"id": "1b178076",
"metadata": {},
"source": [
"#### Four facets, grid, free y"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "33355fcf",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot_y + facet_grid(y=\"animal_type\", x=\"diet\", scales=\"free_y\")"
]
},
{
"cell_type": "markdown",
"id": "a6f9c778",
"metadata": {},
"source": [
"#### Four facets, wrap, free y"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "20018426",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot_y + facet_wrap(facets=[\"animal_type\", \"diet\"], ncol=2, scales=\"free_y\")"
]
},
{
"cell_type": "markdown",
"id": "b7411929",
"metadata": {},
"source": [
"#### Four facets, grid, free scales"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "8d51722a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot_y + facet_grid(y=\"animal_type\", x=\"diet\", scales=\"free\") + theme(panel_border=element_rect())"
]
},
{
"cell_type": "markdown",
"id": "1366bce4",
"metadata": {},
"source": [
"#### Four facets, wrap, free scales"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "e22440f7",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"dump_plot(plot_y + facet_wrap(facets=[\"animal_type\", \"diet\"], ncol=2, scales=\"free\") + theme(panel_border=element_rect()))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7ac474df-973f-4312-aaac-a9420eb03cec",
"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": "3.8.15"
}
},
"nbformat": 4,
"nbformat_minor": 5
}