{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "8a72c7c1",
"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": 6,
"id": "a633a87d",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dat = dict(\n",
" x = [0, 2],\n",
" y = [0, 2],\n",
" c = [\"a\", \"b\"],\n",
" s = [\"a\", \"b\"]\n",
")\n",
"\n",
"p = ggplot(dat) + geom_point(aes(\"x\", \"y\", shape=\"s\", color=\"c\"), size=10)\n",
"p"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "63c7d9f5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p + scale_color_manual(name=\"O\", values=[\"red\", \"blue\"]) #+ scale_shape(name=\"O\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "94351cdd",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p1 = ggplot(dat) + geom_tile(aes(\"x\", \"y\", fill=\"c\"))\n",
"p1"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "e9c96610",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p1 + scale_fill_manual(name=\"O\", values=[\"red\", \"blue\"], labels=['No', 'Yes'])"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "3871b3bb",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dat2 = dict(\n",
" x = [\"a\", \"a\", \"b\"],\n",
")\n",
"\n",
"\n",
"(ggplot(dat2) + \n",
" geom_bar(aes(\"x\", fill=\"x\")) + \n",
" scale_fill_manual(name=\"O\", values=[\"red\", \"blue\"], labels=['No', 'Yes'])\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "0c7035db",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from lets_plot.mapping import as_discrete\n",
"\n",
"\n",
"(ggplot(dat2) + \n",
" geom_bar(aes(\"x\", fill=as_discrete(\"x\"))) + \n",
" scale_fill_manual(name=\"O\", values=[\"red\", \"blue\"], labels=['No', 'Yes'])\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8b90a77a",
"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
}