{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "27c415bc-19bd-4ab4-80c9-efdb5d33c03a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"from lets_plot import *\n",
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a048d094-8294-47ac-98d4-920c2c441f64",
"metadata": {},
"outputs": [],
"source": [
"np.random.seed(0) \n",
"N = 200\n",
"noise = dict(\n",
" x = np.random.uniform(0, 200, N),\n",
" y = np.random.uniform(100, 400, N),\n",
" size = np.random.uniform(0.1, 2, N) \n",
")\n",
"backdrop = geom_point(aes(\"x\", \"y\", size=\"size\"), data=noise, tooltips='none') "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "87412abd-01b8-4295-969d-cf967fbbc5fb",
"metadata": {},
"outputs": [],
"source": [
"items = [\n",
" dict (\n",
" name = \"Lets-Plot\\nMultiplatform\",\n",
" documentationUrl = \"https://lets-plot.org\",\n",
" sourcesUrl = \"https://github.com/JetBrains/lets-plot\",\n",
" x = 0, y = 0, size = 14, shape = 16, angle = 0\n",
" ),\n",
" dict (\n",
" name = \"Lets-Plot\\nfor Python\",\n",
" documentationUrl = \"https://lets-plot.org/kotlin/get-started.html\",\n",
" sourcesUrl = \"https://github.com/JetBrains/lets-plot-kotlin\",\n",
" x = 130, y = 150, size = 9, shape = 15, angle = 15\n",
" ),\n",
" dict (\n",
" name = \"Lets-Plot\\nfor Kotlin\",\n",
" documentationUrl = \"https://lets-plot.org/kotlin/get-started.html\",\n",
" sourcesUrl = \"https://github.com/JetBrains/lets-plot-kotlin\",\n",
" x = 200, y = 200, size = 7, shape = 15, angle = -15\n",
" ),\n",
" dict (\n",
" name = \"Lets-Plot\\nCompose Multiplatform\",\n",
" documentationUrl = \"https://github.com/JetBrains/lets-plot-skia\",\n",
" sourcesUrl = \"https://github.com/JetBrains/lets-plot-skia\",\n",
" x = 80, y = 250, size = 7, shape = 15, angle = 30\n",
" ),\n",
" dict (\n",
" name = \"Geocoding\",\n",
" documentationUrl = \"https://lets-plot.org/python/pages/geocoding.html\",\n",
" sourcesUrl = \"https://github.com/JetBrains/lets-plot\",\n",
" x = 70, y = 320, size = 7, shape = 17, angle = 0\n",
" ),\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "4310428d-8bd9-4b6d-982e-a0b76ea49189",
"metadata": {},
"outputs": [],
"source": [
"data = {\n",
" \"name\": [],\n",
" \"documentationUrl\": [],\n",
" \"sourcesUrl\": [],\n",
" \"x\": [],\n",
" \"y\": [],\n",
" \"size\": [],\n",
" \"shape\": [],\n",
" \"angle\": [],\n",
"}\n",
"\n",
"for item in items:\n",
" for key in data:\n",
" data[key].append(item[key])\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "abc5e82f-06f0-4fa0-9dfb-f244e1d8e45b",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(ggplot(data) + backdrop\n",
" + geom_point(aes(\"x\", \"y\", size=\"size\", shape=\"shape\", angle=\"angle\", color=\"name\"), show_legend=False,\n",
" tooltips=layer_tooltips()\n",
" .title(\"@name\")\n",
" .line(\"Links: docs, sources\")\n",
" )\n",
" + geom_text(x=50, y=250, size=12,\n",
" label=\"Hover, then click\\nto freeze the tooltip.\\nClick links\\nto navigate.\")\n",
" + geom_segment(x=70, y=250, xend=0, yend=0,\n",
" size_start=150, size_end=20,\n",
" arrow=arrow(type='open', angle=40)) \n",
" + scale_shape_identity() + scale_size_identity()\n",
" + scale_y_continuous(breaks=[150, 200, 250, 320]) \n",
" + coord_polar() \n",
" + ylim(0, 400) + ggsize(800, 800) \n",
" + labs(\n",
" title='The Observable LP-verse',\n",
" subtitle='Latest news.',\n",
" caption='User stories.')\n",
" + theme(\n",
" plot_title=element_text(size=25, face=\"bold\", hjust=0.5),\n",
" plot_subtitle=element_text(hjust=0.5),\n",
" plot_margin=[40, 0, 0], \n",
" axis_title='blank',\n",
" axis_text='blank',\n",
" axis_ticks='blank',\n",
" panel_grid='blank', \n",
" panel_grid_major_y=element_line(size=3, linetype='dotted') \n",
" )\n",
" + flavor_high_contrast_dark()\n",
")\n"
]
}
],
"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": "3.9.20"
}
},
"nbformat": 4,
"nbformat_minor": 5
}