{
"cells": [
{
"cell_type": "markdown",
"id": "50816dd6",
"metadata": {},
"source": [
"# `stroke` aesthetic\n",
"\n",
"Affects the thickness of the point boundaries (in case the given shape has a boundary).\n",
"\n",
"Available for the following geometries: `geom_point()`, `geom_jitter()`, `geom_qq()`, `geom_qq2()`, `geom_pointrange()`, `geom_dotplot()`, `geom_ydotplot()`."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "4548aaa5",
"metadata": {},
"outputs": [],
"source": [
"from lets_plot import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e5021e9e",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "7ca0b26d",
"metadata": {},
"outputs": [],
"source": [
"data1 = {\n",
" 'x': (list(range(7)) * 4)[:26],\n",
" 'y': ([3] * 7 + [2] * 7 + [1] * 7 + [0] * 7)[:26],\n",
" 'shape': list(range(26)),\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "1829f639",
"metadata": {},
"outputs": [],
"source": [
"p1 = ggplot(data1, aes('x', 'y')) + scale_shape_identity() + \\\n",
" xlim(-1, 7) + ylim(-1, 4) + \\\n",
" theme(legend_position='none')"
]
},
{
"cell_type": "markdown",
"id": "c184ec7a",
"metadata": {},
"source": [
"#### 1. Default Stroke"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "4784b085",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p1 + geom_point(aes(shape='shape'), size=12, color=\"#54278f\", fill=\"#dd1c77\")"
]
},
{
"cell_type": "markdown",
"id": "f84b550d",
"metadata": {},
"source": [
"#### 2. Increased Stroke"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "56d38045",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p1 + geom_point(aes(shape='shape'), size=12, stroke=8, color=\"#54278f\", fill=\"#dd1c77\")"
]
},
{
"cell_type": "markdown",
"id": "4149ce11",
"metadata": {},
"source": [
"#### 3. Stroke Scales"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "317746c5",
"metadata": {},
"outputs": [],
"source": [
"data2 = {\n",
" 'x': [0, 1, 2],\n",
" 'y': [0, 0, 0],\n",
" 'stroke': [4, 16, 8],\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "0a21b011",
"metadata": {},
"outputs": [],
"source": [
"p2 = ggplot(data2, aes('x', 'y')) + \\\n",
" geom_point(aes(stroke='stroke'), size=12, shape=21, color=\"#54278f\", fill=\"#dd1c77\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "00fe5e3a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gggrid([\n",
" p2 + ggtitle(\"Default scale\"),\n",
" p2 + scale_stroke(range=[2, 4]) + ggtitle(\"scale_stroke()\"),\n",
" p2 + scale_stroke_identity() + ggtitle(\"scale_stroke_identity()\"),\n",
"], ncol=2)"
]
}
],
"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": "3.8.16"
}
},
"nbformat": 4,
"nbformat_minor": 5
}