{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Histograms in Scala\n", "\n", "In a histogram, the height of each bar (bin) represents the number of data points that fall into its interval.\n", "They are generally used to show the distribution of a variable." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "// Generate some random data\n", "\n", "val random = new scala.util.Random\n", "\n", "val (data1, data2) = (for {\n", " _ <- 1 to 10000\n", " v1 = random.nextGaussian\n", " v2 = random.nextGaussian * 2 + 1\n", "} yield (v1, v2)).unzip\n", "\n", "println(data1(7))\n", "OutputCell.HIDDEN" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "new Histogram { data = data1; binCount = 25 }" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "new Histogram { initWidth = 800; initHeight = 200\n", " title = \"Wide Histogram with Manual Parameters\"\n", " xLabel = \"Size\"\n", " yLabel = \"Count\"\n", " rangeMin = -8\n", " rangeMax = 8\n", " data = data1 ++ Seq.fill(200)(7.0)\n", " binCount = 99\n", " color = new Color(0, 154, 166)}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "new Histogram{title = \"Default is Overlap\"\n", " data = Seq(data1, data2)\n", " binCount = 99\n", " names = Seq(\"old and tired\", \"new and improved\")\n", " color = Seq(new Color(0, 154, 166),\n", " new Color(230, 50, 50, 128) // transparent!\n", " )}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "new Histogram{title = \"Stack\"\n", " showLegend = false\n", " displayMode = Histogram.DisplayMode.STACK\n", " data = Seq(data1, data2)\n", " binCount = 99}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "new Histogram{title =\"Side by Side\"\n", " displayMode = Histogram.DisplayMode.SIDE_BY_SIDE\n", " data = Seq(data1,data2)\n", " binCount = 55}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "new Histogram{title = \"Cumulative\"\n", " cumulative = true\n", " data = data1\n", " binCount = 55}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "new Histogram{title = \"Normed, Area = 1.0\"\n", " normed = true\n", " data = data1\n", " binCount = 55}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "new Histogram{log = true\n", " data = data1\n", " binCount = 99}" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Scala", "language": "scala", "name": "scala" }, "language_info": { "codemirror_mode": "text/x-scala", "file_extension": ".scala", "mimetype": "", "name": "Scala", "nbconverter_exporter": "", "version": "2.11.11" } }, "nbformat": 4, "nbformat_minor": 2 }