{
"cells": [
{
"cell_type": "markdown",
"id": "a62d5ff5-858f-43c3-9a76-6b3ed8b5b957",
"metadata": {},
"source": [
"# Parameter `size_unit` in Geoms `geom_point()`, `geom_text()` and `geom_label()`\n",
"\n",
"The `size_unit` parameter relates the size of a geometry to the length of the unit step along one of the axes."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "6afaa8ff-8714-4575-9458-e3ee4434d1ad",
"metadata": {},
"outputs": [],
"source": [
"from lets_plot import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3d059f1c-245f-4690-b6bb-69137c4f3150",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b5358334-847f-4f63-8e12-4e5f90ca7403",
"metadata": {},
"outputs": [],
"source": [
"size = 10\n",
"data = {\n",
" 'x': [0, 0, 0],\n",
" 'y': [-size, 0, size],\n",
" 'text': ['A', 'b', '0'],\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "ac3bf8eb-5408-4c3c-818c-375e54a552ec",
"metadata": {},
"outputs": [],
"source": [
"def title(geom_name, size_unit=None):\n",
" if size_unit is None:\n",
" size_unit_text = \"size_unit - default\"\n",
" else:\n",
" size_unit_text = \"size_unit='{0}'\".format(size_unit)\n",
" return ggtitle(\"{geom}: size={size}, {size_unit_text}\".format(\n",
" geom=geom_name,\n",
" size=size,\n",
" size_unit_text=size_unit_text\n",
" ))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "f347dd10-0311-4528-8c7c-a6259b5dca67",
"metadata": {},
"outputs": [],
"source": [
"p = ggplot(data, aes('x', 'y')) + scale_y_continuous(limits=[-size, size], expand=[.15, 0])"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "4c561e36-6267-4c09-a095-642db5d51605",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gggrid([\n",
" p + geom_point(size=size) + title(\"Point\"),\n",
" p + geom_point(size=size, size_unit='y') + title(\"Point\", 'y'),\n",
"])"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "ce026b28-bdb0-4fd0-85f8-037bca968e7f",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gggrid([\n",
" p + geom_text(aes(label='text'), size=size) + title(\"Text\"),\n",
" p + geom_text(aes(label='text'), size=size, size_unit='y') + title(\"Text\", 'y'),\n",
"])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "d68d2e13-3b0e-42fe-aa92-2d29a5607c1f",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gggrid([\n",
" p + geom_label(aes(label='text'), size=size) + title(\"Label\"),\n",
" p + geom_label(aes(label='text'), size=size, size_unit='y') + title(\"Label\", 'y'),\n",
"])"
]
},
{
"cell_type": "markdown",
"id": "87e71dca-e6ab-42ae-a779-2ba189040bee",
"metadata": {},
"source": [
"#### Use Case: Drawing a Venn Diagram"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "959ef24a-18f5-4ff4-85df-3cc781ee6762",
"metadata": {},
"outputs": [],
"source": [
"from math import sqrt"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "3ab025fb-c42e-4853-9b85-ac4fb8aab6ea",
"metadata": {},
"outputs": [],
"source": [
"r = .5\n",
"h = r * sqrt(3)/2\n",
"sets_data = {\n",
" 'x': [0, r, r/2],\n",
" 'y': [0, 0, h],\n",
" 'size': [2*r, 2*r, 2*r],\n",
" 'color': ['#e24462', '#306998', '#ffe873'],\n",
"}\n",
"texts_data = {\n",
" 'x': [-r/2, r + r/2, r/2, r/2, -r/8, r + r/8, r/2],\n",
" 'y': [-r/4, -r/4, h + r/2, -3*r/8, 5*r/8, 5*r/8, 5*r/16],\n",
" 'text': [\"Kotlin\", \"Geospatial\\nVisualization\", \"Grammar\\nof\\nGraphics\", \"ArcGIS\", \"Kandy\", \"ggmap\", \"Lets-Plot\"],\n",
" 'size': [.4*r]*7,\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "c7b0041e-f09e-43d3-bb1f-be9f54906116",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ggplot() + \\\n",
" geom_point(aes('x', 'y', size='size', fill='color'), \\\n",
" data=sets_data, size_unit='x', \\\n",
" shape=21, alpha=.5, color='black', \\\n",
" tooltips='none') + \\\n",
" geom_text(aes('x', 'y', label='text', size='size'), \\\n",
" data=texts_data, size_unit='x') + \\\n",
" scale_size_identity() + scale_fill_identity() + \\\n",
" xlim(-r, 2*r) + ylim(-r, h + r) + \\\n",
" coord_fixed() + \\\n",
" ggsize(600, 600) + \\\n",
" theme_void()"
]
}
],
"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": "3.8.19"
}
},
"nbformat": 4,
"nbformat_minor": 5
}