{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# GGBunch\n",
"\n",
"*GGBunch* allows to show a collection of plots on one figure. Each plot in the collection can have arbitrary location and size. There is no automatic layout inside the bunch."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
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" <div id=\"wKqGUr\"></div>\n",
" <script type=\"text/javascript\" data-lets-plot-script=\"library\">\n",
" if(!window.letsPlotCallQueue) {\n",
" window.letsPlotCallQueue = [];\n",
" }; \n",
" window.letsPlotCall = function(f) {\n",
" window.letsPlotCallQueue.push(f);\n",
" };\n",
" (function() {\n",
" var script = document.createElement(\"script\");\n",
" script.type = \"text/javascript\";\n",
" script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v2.3.0/js-package/distr/lets-plot.min.js\";\n",
" script.onload = function() {\n",
" window.letsPlotCall = function(f) {f();};\n",
" window.letsPlotCallQueue.forEach(function(f) {f();});\n",
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" \n",
" \n",
" };\n",
" script.onerror = function(event) {\n",
" window.letsPlotCall = function(f) {};\n",
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" div.textContent = 'Error loading Lets-Plot JS';\n",
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" var e = document.getElementById(\"wKqGUr\");\n",
" e.appendChild(script);\n",
" })();\n",
" </script>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%useLatestDescriptors\n",
"%use lets-plot\n",
"\n",
"@file:DependsOn(\"org.apache.commons:commons-math3:3.6.1\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import kotlin.random.Random\n",
"import org.apache.commons.math3.distribution.MultivariateNormalDistribution"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"val cov : Array<DoubleArray> = arrayOf(doubleArrayOf(1.0, 0.0),\n",
" doubleArrayOf(0.0, 1.0))\n",
"val means : DoubleArray = doubleArrayOf(0.0, 0.0)\n",
"val xy = MultivariateNormalDistribution(means, cov).sample(400)\n",
"\n",
"val xs = xy.map { it[0] }\n",
"val ys = xy.map { it[1] }"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### View this data as a scatter plot and as a histogram"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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" <div id=\"yD1Z0H\"></div>\n",
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"},\n",
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"\"height\":200.0\n",
"},\n",
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"},\n",
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"}]\n",
"};\n",
" var plotContainer = document.getElementById(\"yD1Z0H\");\n",
" window.letsPlotCall(function() {{\n",
" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
" }});\n",
" })(); \n",
" </script>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"val p = letsPlot() + ggsize(600,200)\n",
"\n",
"val scatter = p + geomPoint(color=\"black\", alpha=.4) {x=xs; y=ys}\n",
"scatter"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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"};\n",
" var plotContainer = document.getElementById(\"74yTDP\");\n",
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" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
" }});\n",
" })(); \n",
" </script>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"val histogram = p + geomHistogram(fill=\"dark_magenta\") {x=xs}\n",
"histogram"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Combine both plots in one figure"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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"};\n",
" var plotContainer = document.getElementById(\"ZaW4UR\");\n",
" window.letsPlotCall(function() {{\n",
" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
" }});\n",
" })(); \n",
" </script>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"// Set scale X limits manually because of computed automatically\n",
"// the scale used by each plot would be slightly different\n",
"// and the stacked plots wouldn't be aligned.\n",
"val scale_x = scaleXContinuous(limits=-3.5 to 3.5)\n",
"GGBunch().addPlot(histogram + scale_x, 0, 0)\n",
" .addPlot(scatter + scale_x, 0, 200)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Adjust visuals of the bunch figure"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"val upper_theme = theme(axis=\"blank\", axisText=elementText(), axisTitleY=elementText(), panelGridMajorY=\"blank\")\n",
"val lower_theme = theme(axis=\"blank\", axisTextY=elementText(), axisTitle=elementText())"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
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"}\n",
"}],\n",
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"\"axis_title\":{\n",
"\"blank\":false\n",
"},\n",
"\"axis_text_y\":{\n",
"\"blank\":false\n",
"},\n",
"\"axis\":\"blank\"\n",
"}\n",
"},\n",
"\"height\":null\n",
"}]\n",
"};\n",
" var plotContainer = document.getElementById(\"Ipey6j\");\n",
" window.letsPlotCall(function() {{\n",
" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
" }});\n",
" })(); \n",
" </script>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"GGBunch().addPlot(histogram + upper_theme + scale_x, 0, 0)\n",
" .addPlot(scatter + lower_theme + scale_x, 0, 200)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Adjust plot sizes\n",
"\n",
"*addPlot()* method has two more (optional) parameters: *width* and *height*.\n",
"\n",
"This values will override plot size earlier defined via *ggsize()* function."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" <div id=\"RoGXI2\"></div>\n",
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" (function() {\n",
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" var plotContainer = document.getElementById(\"RoGXI2\");\n",
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]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"GGBunch().addPlot(histogram + upper_theme + scale_x, 0, 0, 600, 100)\n",
" .addPlot(scatter + lower_theme + scale_x, 0, 100, 600, 300)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Kotlin",
"language": "kotlin",
"name": "kotlin"
},
"language_info": {
"codemirror_mode": "text/x-kotlin",
"file_extension": ".kt",
"mimetype": "text/x-kotlin",
"name": "kotlin",
"nbconvert_exporter": "",
"pygments_lexer": "kotlin",
"version": "1.7.0-dev-1825"
}
},
"nbformat": 4,
"nbformat_minor": 4
}