{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%useLatestDescriptors\n", "%use lets-plot" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "// Create a random density plot and save it in a variable \"p\".\n", "val rand = java.util.Random(123)\n", "val n = 400\n", "val data = mapOf (\n", " \"rating\" to List(n/2) { rand.nextGaussian() } + List(n/2) { rand.nextGaussian() * 1.5 + 1.5 },\n", " \"cond\" to List(n/2) { \"A\" } + List(n/2) { \"B\" }\n", ")\n", "\n", "var p = letsPlot(data) +\n", " geomDensity { x = \"rating\"; color = \"cond\" } + ggsize(500, 250) " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import java.io.File" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Export SVG to file" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "val pathSVG = ggsave(p, \"density.svg\")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " -2\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 0\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 2\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 4\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 6\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 0.0\n", " \n", " \n", " \n", " \n", " \n", " \n", " 0.1\n", " \n", " \n", " \n", " \n", " \n", " \n", " 0.2\n", " \n", " \n", " \n", " \n", " \n", " \n", " 0.3\n", " \n", " \n", " \n", " \n", " \n", " \n", " 0.4\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " density\n", " \n", " \n", " \n", " \n", " rating\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " cond\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " A\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " B\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "HTML(File(pathSVG).readText())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Export HTML to file" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "val pathHTML = ggsave(p, \"density.html\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ " " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "HTML(File(pathHTML).readText())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Export PNG to file" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "val pathPNG = ggsave(p, \"density.png\")" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "class java.awt.image.BufferedImage: 1000x500 px" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "javax.imageio.ImageIO.read(File(pathPNG))" ] } ], "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": "1.8.20-Beta" } }, "nbformat": 4, "nbformat_minor": 4 }