{
"cells": [
{
"cell_type": "markdown",
"source": [
"# Playground\n",
"This is a playground for testing things like the Gitea MD syntax"
],
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true,
"ExecuteTime": {
"start_time": "2023-04-09T16:55:57.143918Z",
"end_time": "2023-04-09T16:56:00.513705Z"
}
},
"outputs": [
{
"data": {
"text/html": " \n "
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%use lets-plot"
]
},
{
"cell_type": "code",
"execution_count": 15,
"outputs": [],
"source": [
"val data = mapOf(\n",
" \"cat1\" to listOf(\"a\", \"a\", \"b\", \"a\", \"a\", \"a\", \"a\", \"b\", \"b\", \"b\", \"b\"),\n",
" \"cat2\" to listOf(\"c\", \"c\", \"d\", \"d\", \"d\", \"c\", \"c\", \"d\", \"c\", \"c\", \"d\")\n",
")\n",
"val p = letsPlot(data)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-09T16:56:00.512889Z",
"end_time": "2023-04-09T16:56:00.606630Z"
}
}
},
{
"cell_type": "code",
"execution_count": 16,
"outputs": [
{
"data": {
"text/html": " \n "
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"val layer = geomBar {\n",
" x = \"cat1\"\n",
" fill = \"cat2\"\n",
"}\n",
"\n",
"(p + layer)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-09T16:56:00.606184Z",
"end_time": "2023-04-09T16:56:00.689800Z"
}
}
},
{
"cell_type": "code",
"execution_count": 17,
"outputs": [],
"source": [
"val rand = java.util.Random(1024)\n",
"val data = mapOf (\n",
" \"rating\" to List(200) { rand.nextGaussian() } + List(200) { rand.nextGaussian() * 1.5 + 1.5 },\n",
" \"cond\" to List(200) { \"A\" } + List(200) { \"B\" }\n",
")\n",
"var p = letsPlot(data)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-09T16:56:00.678339Z",
"end_time": "2023-04-09T16:56:00.787205Z"
}
}
},
{
"cell_type": "code",
"execution_count": 18,
"outputs": [
{
"data": {
"text/html": " \n "
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p += geomDensity(color=\"dark_green\", alpha=.3) {x=\"rating\"; fill=\"cond\"}\n",
"p + ggsize(700, 350)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-09T16:56:00.786558Z",
"end_time": "2023-04-09T16:56:00.886846Z"
}
}
},
{
"cell_type": "code",
"execution_count": 19,
"outputs": [
{
"data": {
"text/plain": "87"
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"12 + 75"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-09T16:56:00.879881Z",
"end_time": "2023-04-09T16:56:00.948068Z"
}
}
}
],
"metadata": {
"kernelspec": {
"display_name": "Kotlin",
"language": "kotlin",
"name": "kotlin"
},
"language_info": {
"name": "kotlin",
"version": "1.8.0",
"mimetype": "text/x-kotlin",
"file_extension": ".kt",
"pygments_lexer": "kotlin",
"codemirror_mode": "text/x-kotlin",
"nbconvert_exporter": ""
}
},
"nbformat": 4,
"nbformat_minor": 0
}