{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
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"shell.execute_reply": "2025-11-05T13:44:56.723268Z"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"from lets_plot import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:56.724442Z",
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"shell.execute_reply": "2025-11-05T13:44:56.726113Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:56.740419Z",
"iopub.status.busy": "2025-11-05T13:44:56.740318Z",
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"shell.execute_reply": "2025-11-05T13:44:56.827407Z"
}
},
"outputs": [],
"source": [
"mpg = pd.read_csv (\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:56.828721Z",
"iopub.status.busy": "2025-11-05T13:44:56.828637Z",
"iopub.status.idle": "2025-11-05T13:44:56.830759Z",
"shell.execute_reply": "2025-11-05T13:44:56.830551Z"
}
},
"outputs": [],
"source": [
"p = ggplot(mpg) + theme(axis_title_x='blank')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:56.831658Z",
"iopub.status.busy": "2025-11-05T13:44:56.831581Z",
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"shell.execute_reply": "2025-11-05T13:44:56.885604Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p1 = p + ggtitle(\"default\") + geom_boxplot( aes('class','hwy'))\n",
"\n",
"p2 = (p + ggtitle(\"alphabetically\") \n",
" + geom_boxplot(aes(as_discrete('class',order=1), 'hwy')))\n",
"p3 = (p + ggtitle(\"middle ↑\") \\\n",
" + geom_boxplot(aes(as_discrete('class',order=1, order_by='..middle..'), 'hwy')))\n",
"p4 = (p + ggtitle(\"middle ↓\") \\\n",
" + geom_boxplot(aes(as_discrete('class',order=-1, order_by='..middle..'), 'hwy')))\n",
"p5 = (p + ggtitle(\"ymax ↑\") \\\n",
" + geom_boxplot(aes(as_discrete('class',order=1, order_by='..ymax..'), 'hwy')))\n",
"p6 = (p + ggtitle(\"ymax ↓\") \\\n",
" + geom_boxplot(aes(as_discrete('class',order=-1, order_by='..ymax..'), 'hwy')))\n",
"p7 = (p + ggtitle(\"ymin ↑\") \\\n",
" + geom_boxplot(aes(as_discrete('class',order=1, order_by='..ymin..'), 'hwy')))\n",
"p8 = (p + ggtitle(\"ymin ↓\") \\\n",
" + geom_boxplot(aes(as_discrete('class',order=-1, order_by='..ymin..'), 'hwy')))\n",
"\n",
"gggrid([p1, p2, p3, p4, p5, p6, p7, p8], ncol=2) + ggsize(940, 1200)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:56.886938Z",
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"shell.execute_reply": "2025-11-05T13:44:56.912516Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ordered_class = as_discrete('class', order=1)\n",
"\n",
"p1 = (p + ggtitle(\"x='class',\\ncolor='class'\") \n",
" + geom_boxplot(aes('class', 'hwy', color='class'))\n",
" )\n",
"\n",
"p3 = (p + ggtitle(\"x=as_discrete('class', order=1),\\ncolor='class'\") \n",
" + geom_boxplot(aes(ordered_class, 'hwy', color='class'))\n",
" )\n",
"\n",
"p4 = (p + ggtitle(\"x=as_discrete('class', order=1),\\ncolor=as_discrete('class')\") \n",
" + geom_boxplot(aes(ordered_class, 'hwy', color=as_discrete('class')))\n",
" )\n",
"\n",
"p5 = p + ggtitle(\"x='class',\\ncolor='drv'\") + geom_boxplot(aes('class','hwy', color='drv'))\n",
"\n",
"p7 = (p + ggtitle(\"x=as_discrete('class', order=1),\\ncolor=as_discrete('drv', order=1)\") \n",
" + geom_boxplot(aes(\n",
" as_discrete('class', order=1), 'hwy', \n",
" color=as_discrete('drv', order=1)))\n",
" )\n",
"\n",
"p8 = (p + ggtitle(\"x=as_discrete('class', order_by='..middle..')\") \n",
" + geom_boxplot(aes(\n",
" as_discrete('class', order_by='..middle..', order=1), 'hwy', color='drv'))\n",
" )\n",
"\n",
"ggbunch(\n",
" [p1, p3, p4, p5, p7, p8],\n",
" [(0, 0, .5, .25),\n",
" (0, .25, .5, .25),\n",
" (.5, .25, .5, .25),\n",
" (0, .5, .5, .25),\n",
" (0, .75, .5, .25),\n",
" (.5, .75, .5, .25)]\n",
") + ggsize(940, 1200)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:56.913727Z",
"iopub.status.busy": "2025-11-05T13:44:56.913652Z",
"iopub.status.idle": "2025-11-05T13:44:56.926246Z",
"shell.execute_reply": "2025-11-05T13:44:56.926059Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p1 = (ggplot(mpg, aes('class', 'hwy')) + \n",
" geom_crossbar(aes(color='class'), stat='boxplot') + \n",
" scale_color_brewer(type='qual', palette='Dark2') + \n",
" ggtitle('default'))\n",
"\n",
"p2 = (ggplot(mpg, aes(x=as_discrete('class', order_by=\"..middle..\", order=1), y = 'hwy')) + \n",
" geom_crossbar(aes(color='class'), stat='boxplot') + \n",
" scale_color_brewer(type='qual', palette='Dark2') +\n",
" ggtitle('middle ↑,\\norder option also applies to \\'color\\'') )\n",
"\n",
"p3 = (ggplot(mpg, aes(x=as_discrete('class', order_by=\"..middle..\"), y = 'hwy')) + \n",
" geom_crossbar(aes(color=as_discrete('class', order=1)), stat='boxplot') +\n",
" scale_color_brewer(type='qual', palette='Dark2') + \n",
" ggtitle('\\'class\\' with \\'order_by\\' + \\'class\\' with \\'order\\':\\noptions are combined') )\n",
"\n",
"gggrid([p1, p2, p3], ncol=2) + ggsize(940, 600)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:56.927147Z",
"iopub.status.busy": "2025-11-05T13:44:56.927076Z",
"iopub.status.idle": "2025-11-05T13:44:56.937823Z",
"shell.execute_reply": "2025-11-05T13:44:56.937636Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p1 = (p + ggtitle(\"default\") + geom_bar(aes('class', 'hwy')))\n",
"\n",
"p2 = (p + ggtitle(\"alphabetically\") \n",
" + geom_bar(aes(as_discrete('class', order=1), 'hwy')))\n",
"\n",
"\n",
"p3 = (p + ggtitle(\"y ↓\") \n",
" + geom_bar(aes(as_discrete('class', order_by='hwy'), 'hwy')))\n",
"p4 = (p + ggtitle(\"y ↑\") \n",
" + geom_bar(aes(as_discrete('class', order_by='hwy', order=1), 'hwy')))\n",
"\n",
"gggrid([p1, p2, p3, p4], ncol=2) + ggsize(940, 600)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:56.938779Z",
"iopub.status.busy": "2025-11-05T13:44:56.938705Z",
"iopub.status.idle": "2025-11-05T13:44:56.961667Z",
"shell.execute_reply": "2025-11-05T13:44:56.961472Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# geom_bar\n",
"\n",
"p1 = (p + ggtitle(\"default\") + geom_bar(aes('manufacturer', fill='class')))\n",
"\n",
"p2 = (p + ggtitle(\"x alphabetically\") \n",
" + geom_bar(aes(as_discrete('manufacturer', order=1), fill='class')))\n",
"\n",
"p3 = (p + ggtitle(\"x alphabetically + sampling_pick(4)\") \n",
" + geom_bar(aes(as_discrete('manufacturer', order=1), fill='class'), \n",
" sampling=sampling_pick(4)))\n",
"\n",
"p4 = (p + ggtitle(\"fill alphabetically\") \n",
" + geom_bar(aes('manufacturer', fill=as_discrete('class',order=1))))\n",
"\n",
"p5 = (p + ggtitle(\"x and fill alphabetically\") \n",
" + geom_bar(aes(as_discrete('manufacturer', order=1), fill=as_discrete('class',order=1))))\n",
"\n",
"p6 = (p + ggtitle(\"x by count (sum is taken)\") \n",
" + geom_bar(aes(as_discrete('manufacturer',order_by='..count..'), fill='class')))\n",
"\n",
"p7 = (p + ggtitle(\"x by count + sampling_pick(4)\") \n",
" + geom_bar(aes(as_discrete('manufacturer',order_by='..count..'), fill='class'),\n",
" sampling=sampling_pick(4)))\n",
"\n",
"ggbunch(\n",
" [p1, p2, p3, p4, p5, p6, p7],\n",
" [(0, 0, .5, .25),\n",
" (0, .25, .5, .25),\n",
" (.5, .25, .5, .25),\n",
" (0, .5, .5, .25),\n",
" (.5, .5, .5, .25),\n",
" (0, .75, .5, .25),\n",
" (.5, .75, .5, .25)]\n",
") + ggsize(940, 1200)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:56.962739Z",
"iopub.status.busy": "2025-11-05T13:44:56.962662Z",
"iopub.status.idle": "2025-11-05T13:44:56.981253Z",
"shell.execute_reply": "2025-11-05T13:44:56.981067Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pp = ggplot(mpg, aes(x='fl', fill='drv'))\n",
"p1 = pp + geom_bar() + ggtitle('Default')\n",
"p2 = pp + geom_bar(position='dodge') + ggtitle(\"With Dodge Position\")\n",
"\n",
"p_order1 = ggplot(mpg, aes(x=as_discrete('fl',order=1), fill=as_discrete('drv',order=1)))\n",
"title1 = ggtitle('x and fill alphabetically')\n",
"p3 = p_order1 + geom_bar() + title1\n",
"p4 = p_order1 + geom_bar(position='dodge') + title1\n",
"\n",
"p_order2 = ggplot(mpg, aes(x=as_discrete('fl',order_by=\"..count..\"), fill='drv'))\n",
"title2 = ggtitle('x by count')\n",
"p5 = p_order2 + geom_bar() + title2\n",
"p6 = p_order2 + geom_bar(position='dodge') + title2\n",
"\n",
"gggrid([p1, p2, p3, p4, p5, p6], ncol=2) + ggsize(940, 900)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:56.982284Z",
"iopub.status.busy": "2025-11-05T13:44:56.982213Z",
"iopub.status.idle": "2025-11-05T13:44:57.519087Z",
"shell.execute_reply": "2025-11-05T13:44:57.518721Z"
}
},
"outputs": [],
"source": [
"# diamonds\n",
"\n",
"diamonds = pd.read_csv('https://vincentarelbundock.github.io/Rdatasets/csv/ggplot2/diamonds.csv')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-05T13:44:57.520444Z",
"iopub.status.busy": "2025-11-05T13:44:57.520361Z",
"iopub.status.idle": "2025-11-05T13:45:00.053325Z",
"shell.execute_reply": "2025-11-05T13:45:00.052982Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd = ggplot(diamonds)\n",
"\n",
"p1 = pd + geom_bar(aes('cut', fill = 'clarity')) + ggtitle('Default')\n",
"p2 = pd + geom_bar(aes('cut', fill = 'clarity'), position = 'fill') + ggtitle('position=\\'fill\\'')\n",
"\n",
"p3 = pd + ggtitle('x and fill alphabetically') \\\n",
" + geom_bar(aes(as_discrete('cut',order=1), fill = as_discrete('clarity',order=1)), position = 'fill') \n",
"p4 = pd + ggtitle('x by count') \\\n",
" + geom_bar(aes(as_discrete('cut',order_by='..count..'), \n",
" fill = as_discrete('clarity',order=1)),\n",
" position = 'fill')\n",
"\n",
"p5 = pd + geom_bar(aes('cut', fill = 'clarity'), position = 'dodge') + ggtitle('position=\\'dodge\\'')\n",
"p6 = pd + ggtitle('x by count and fill alphabetically') \\\n",
" + geom_bar(aes(as_discrete('cut',order_by='..count..', order=1),\n",
" fill = as_discrete('clarity',order=1)),\n",
" position = 'dodge')\n",
"\n",
"gggrid([p1, p2, p3, p4, p5, p6], ncol=2) + ggsize(940, 900)"
]
}
],
"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",
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