{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "27c415bc-19bd-4ab4-80c9-efdb5d33c03a",
"metadata": {
"execution": {
"iopub.execute_input": "2025-07-17T17:09:22.390249Z",
"iopub.status.busy": "2025-07-17T17:09:22.390072Z",
"iopub.status.idle": "2025-07-17T17:09:22.393150Z",
"shell.execute_reply": "2025-07-17T17:09:22.392965Z"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"from lets_plot import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "771f62b1-b4d8-48e3-b2cb-2fae1c4177a8",
"metadata": {
"execution": {
"iopub.execute_input": "2025-07-17T17:09:22.394087Z",
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"shell.execute_reply": "2025-07-17T17:09:22.395533Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "a048d094-8294-47ac-98d4-920c2c441f64",
"metadata": {
"execution": {
"iopub.execute_input": "2025-07-17T17:09:22.396551Z",
"iopub.status.busy": "2025-07-17T17:09:22.396479Z",
"iopub.status.idle": "2025-07-17T17:09:22.420546Z",
"shell.execute_reply": "2025-07-17T17:09:22.420248Z"
}
},
"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": 4,
"id": "87412abd-01b8-4295-969d-cf967fbbc5fb",
"metadata": {
"execution": {
"iopub.execute_input": "2025-07-17T17:09:22.421675Z",
"iopub.status.busy": "2025-07-17T17:09:22.421453Z",
"iopub.status.idle": "2025-07-17T17:09:22.424288Z",
"shell.execute_reply": "2025-07-17T17:09:22.424109Z"
}
},
"outputs": [],
"source": [
"items = [\n",
" dict(\n",
" name=\"Lets-Plot\\nMultiplatform\",\n",
" documentation_url=\"https://lets-plot.org\",\n",
" sources_url=\"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",
" documentation_url=\"https://lets-plot.org/kotlin/get-started.html\",\n",
" sources_url=\"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",
" documentation_url=\"https://lets-plot.org/kotlin/get-started.html\",\n",
" sources_url=\"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",
" documentation_url=\"https://github.com/JetBrains/lets-plot-skia\",\n",
" sources_url=\"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",
" documentation_url=\"https://lets-plot.org/python/pages/geocoding.html\",\n",
" sources_url=\"https://github.com/JetBrains/lets-plot\",\n",
" x=70, y=320, size=7, shape=17, angle=0\n",
" ),\n",
" dict(\n",
" name=\"Kandy\",\n",
" documentation_url=\"https://kotlin.github.io/kandy/welcome.html\",\n",
" sources_url=\"https://github.com/Kotlin/kandy\",\n",
" x=195.0, y=150.0, size=4.0, shape=16, angle=0.0\n",
" ),\n",
"]\n",
"\n",
"map_to = lambda key: [item[key] for item in items]\n",
"data = dict(name=map_to(\"name\"),\n",
" documentation_url=map_to(\"documentation_url\"),\n",
" sources_url=map_to(\"sources_url\"),\n",
" x=map_to(\"x\"),\n",
" y=map_to(\"y\"),\n",
" size=map_to(\"size\"),\n",
" shape=map_to(\"shape\"),\n",
" angle=map_to(\"angle\"))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "abc5e82f-06f0-4fa0-9dfb-f244e1d8e45b",
"metadata": {
"execution": {
"iopub.execute_input": "2025-07-17T17:09:22.425196Z",
"iopub.status.busy": "2025-07-17T17:09:22.425034Z",
"iopub.status.idle": "2025-07-17T17:09:22.436633Z",
"shell.execute_reply": "2025-07-17T17:09:22.436455Z"
}
},
"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().title(\"@name\")\n",
" .line(\"Links: docs, \"\n",
" \"sources\"))\n",
" # Kandy orbit\n",
" + geom_point(x=200, y=200, size=37, shape=1, stroke=.07)\n",
" # Kandy stick\n",
" + geom_spoke(x=195, y=150, angle=-3.14/2/1.05, radius=30, size=1, color=\"rgb(255,255,97)\")\n",
" # Guide\n",
" + geom_text(x=50, y=250, size=12,\n",
" label=\"Hover, then click\\nto freeze \"\n",
" \"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_y_continuous(breaks=[150, 200, 250, 320])\n",
" + scale_shape_identity() + scale_size_identity()\n",
" + coord_polar()\n",
" + ylim(0, 400) + ggsize(800, 800)\n",
" + labs(title='The Observable LP-verse',\n",
" subtitle='Latest news.',\n",
" caption='User stories.')\n",
" + theme(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",
" + flavor_high_contrast_dark()\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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}