pyplot_histogram.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pyplot_histogram.jl\n",
    "#\n",
    "#\tDemonstrate plotting of histograms\n",
    "#\n",
    "# gizmaa (https://gist.github.com/gizmaa/7214002)\n",
    "# Julia 1.1.0\n",
    "# Created: 29.10.13\n",
    "# Last Edit: 10.05.19\n",
    "\n",
    "using PyPlot\n",
    "ioff() # Interactive plotting OFF, necessary for inline plotting in IJulia\n",
    "\n",
    "#################\n",
    "#  Create Data  #\n",
    "#################\n",
    "x = randn(1000) # Values\n",
    "nbins = 50; # Number of bins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Figure(PyObject <matplotlib.figure.Figure object at 0x7fd2baa3bd10>)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##########\n",
    "#  Plot  #\n",
    "##########\n",
    "fig = figure(\"pyplot_histogram\",figsize=(10,10)) # Not strictly required\n",
    "ax = PyPlot.axes() # Not strictly required\n",
    "h = plt.hist(x,nbins) # Histogram\n",
    "\n",
    "grid(\"on\")\n",
    "xlabel(\"X\")\n",
    "ylabel(\"Y\")\n",
    "title(\"Histogram\")\n",
    "gcf() # Needed for IJulia to plot inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Julia 1.1.0",
   "language": "julia",
   "name": "julia-1.1"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "1.1.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}