{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_free_times(free_file):\n",
    "    with open(free_file) as ff:\n",
    "        for line in ff.readlines():\n",
    "            plt.hist(np.array(list(map(float, line.strip().split()))), alpha=0.5)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CPNDjLLPq/kGjDwLXVdX/9T3PTKrqW1X1G1W1uvv7dBR4S/dntxeLNvTdD2ROf8zCIWDX\nAv2YhauB9zA4Q36s++9dfQ+1yL0XuDfJN4HfB/6+53lepvuOYzfwCPAtBn/XFsS7JZN8Bvga8IYk\nR5PcBNwOvDPJUwy+G+n9X4SbZc5/An4V2Nv9XfqXXodk1jkXFN8ZK0mNW7Rn9JKk0Rh6SWqcoZek\nxhl6SWqcoZekxhl6SWqcoZekxhl6SWrc/wNyO5WJJMdqTQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1244050c908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_free_times('multiple_randomclient_twotellers_free.dat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_wait_times(wait_file):\n",
    "    times = np.loadtxt(wait_file)\n",
    "    work = times[:, 0]\n",
    "    arrival = times[:, 1]\n",
    "    departure = times[:, 2]\n",
    "    plt.hist(work)\n",
    "    plt.title('Work times')\n",
    "    plt.show()\n",
    "    plt.hist(arrival)\n",
    "    plt.title('Arrival times')\n",
    "    plt.show()\n",
    "    plt.hist(departure)\n",
    "    plt.title('Departure times')\n",
    "    plt.show()\n",
    "    plt.hist(departure - arrival)\n",
    "    plt.title('Total client times')\n",
    "    plt.show()\n",
    "    plt.hist(departure - arrival - work)\n",
    "    plt.title('Client wait times')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x12440546c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1243f32cf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x124405622e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1243f3a68d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1243f419dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_wait_times('multiple_randomclient_fourtellers_wait.dat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}