{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pyplot_barplot.jl\n",
    "#\n",
    "#\tBar plot demonstration\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 = [1:1:50;]\n",
    "y = 100*rand(50);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Figure(PyObject <matplotlib.figure.Figure object at 0x7fabfc777d10>)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "################\n",
    "##  Bar Plot  ##\n",
    "################\n",
    "fig = figure(\"pyplot_barplot\",figsize=(10,10))\n",
    "subplot(211)\n",
    "b = bar(x,y,color=\"#0f87bf\",align=\"center\",alpha=0.4)\n",
    "axis(\"tight\")\n",
    "PyPlot.title(\"Vertical Bar Plot\")\n",
    "grid(\"on\")\n",
    "xlabel(\"X\")\n",
    "ylabel(\"Y\")\n",
    "\n",
    "subplot(212)\n",
    "b = barh(x,y,color=\"#0f87bf\",align=\"center\",alpha=0.4)\n",
    "\n",
    "axis(\"tight\")\n",
    "PyPlot.title(\"Horizontal Bar Plot\")\n",
    "grid(\"on\")\n",
    "xlabel(\"X\")\n",
    "ylabel(\"Y\")\n",
    "\n",
    "PyPlot.suptitle(\"Bar Plot Examples\")\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
}