rl_final_project_graphing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       job_size  total_seconds  mbThroughput  concurrency  parallelism  pipe  \\\n",
      "0   40802190232             50   6528.350437            6            6     0   \n",
      "1   40802190232             59   5532.500370            6            6     0   \n",
      "2   40802190232             52   6277.260036            6            6     0   \n",
      "3   40802190232             51   6400.343566            6            6     0   \n",
      "4   40802190232             48   6800.365039            6            6     0   \n",
      "5   40802190232             55   5934.864034            6            6     0   \n",
      "6   40802190232             51   6400.343566            6            6     0   \n",
      "7   40802190232             64   5100.273779            6            6     0   \n",
      "8   40802190232             68   4800.257674            6            6     0   \n",
      "9   40802190232             51   6400.343566            6            6     0   \n",
      "10  40802190232             56   5828.884319            6            6     0   \n",
      "11  40802190232             47   6945.053657            6            6     0   \n",
      "12  40802190232             57   5726.623190            6            6     0   \n",
      "13  40802190232             61   5351.106916            6            6     0   \n",
      "14  40802190232             51   6400.343566            6            6     0   \n",
      "15  40802190232             64   5100.273779            6            6     0   \n",
      "16  40802190232             77   4239.188596            6            6     0   \n",
      "17  40802190232             56   5828.884319            6            6     0   \n",
      "18  40802190232             59   5532.500370            6            6     0   \n",
      "19  40802190232             52   6277.260036            6            6     0   \n",
      "20  40802190232             53   6158.821167            6            6     0   \n",
      "21  40802190232             62   5264.798740            6            6     0   \n",
      "22  40802190232             56   5828.884319            6            6     0   \n",
      "23  40802190232             57   5726.623190            6            6     0   \n",
      "24  40802190232             57   5726.623190            6            6     0   \n",
      "25  40802190232             49   6661.582079            6            6     0   \n",
      "26  40802190232             59   5532.500370            6            6     0   \n",
      "27  40802190232             47   6945.053657            6            6     0   \n",
      "28  40802190232             55   5934.864034            6            6     0   \n",
      "\n",
      "   credId  destRemote  \n",
      "0   nginx         NaN  \n",
      "1   nginx         NaN  \n",
      "2   nginx         NaN  \n",
      "3   nginx         NaN  \n",
      "4   nginx         NaN  \n",
      "5   nginx         NaN  \n",
      "6   nginx         NaN  \n",
      "7   nginx         NaN  \n",
      "8   nginx         NaN  \n",
      "9   nginx         NaN  \n",
      "10  nginx         NaN  \n",
      "11  nginx         NaN  \n",
      "12  nginx         NaN  \n",
      "13  nginx         NaN  \n",
      "14  nginx         NaN  \n",
      "15  nginx         NaN  \n",
      "16  nginx         NaN  \n",
      "17  nginx         NaN  \n",
      "18  nginx         NaN  \n",
      "19  nginx         NaN  \n",
      "20  nginx         NaN  \n",
      "21  nginx         NaN  \n",
      "22  nginx         NaN  \n",
      "23  nginx         NaN  \n",
      "24  nginx         NaN  \n",
      "25  nginx         NaN  \n",
      "26  nginx         NaN  \n",
      "27  nginx         NaN  \n",
      "28  nginx         NaN  \n",
      "    jobId   jobSize (MB)  totalSeconds  throughput (Mbps)  concurrency  \\\n",
      "0   12020  326417.514496           116        2813.944090            6   \n",
      "1   12023  326417.514496           141        2315.017833            6   \n",
      "2   12025  326417.514496           117        2789.893286            6   \n",
      "3   12026  326417.514496           102        3200.171711            6   \n",
      "4   12026  326417.514496           102        3200.171711            6   \n",
      "5   12026  326417.514496           102        3200.171711            6   \n",
      "6   12026  326417.514496           102        3200.171711            6   \n",
      "7   12026  326417.514496           102        3200.171711            6   \n",
      "8   12026  326417.514496           102        3200.171711            6   \n",
      "9   12026  326417.514496           102        3200.171711            6   \n",
      "10  12026  326417.514496           102        3200.171711            6   \n",
      "11  12039  326417.514496           124        2632.399310            6   \n",
      "12  12040  326417.514496           101        3231.856579            6   \n",
      "13  12041  326417.514496           105        3108.738233            6   \n",
      "14  12042  326417.514496           121        2697.665409            6   \n",
      "15  12043  326417.514496           123        2653.800931            6   \n",
      "16  12044  326417.514496            95        3435.973837            6   \n",
      "17  12045  326417.514496           102        3200.171711            6   \n",
      "18  12046  326417.514496           118        2766.250123            6   \n",
      "19  12047  326417.514496           112        2914.442094            6   \n",
      "20  12048  326417.514496           128        2550.136832            6   \n",
      "21  12069  326417.514496            93        3509.865747            6   \n",
      "22  12070  326417.514496           129        2530.368329            6   \n",
      "23  12071  326417.514496           129        2530.368329            6   \n",
      "24  12072  326417.514496           120        2720.145954            6   \n",
      "25  12073  326417.514496           123        2653.800931            6   \n",
      "26  12074  326417.514496           101        3231.856579            6   \n",
      "27  12075  326417.514496           103        3169.102082            6   \n",
      "28  12076  326417.514496            98        3330.790964            6   \n",
      "29  12077  326417.514496           103        3169.102082            6   \n",
      "30  12078  326417.514496           103        3169.102082            6   \n",
      "\n",
      "    parallelism  pipelining sourceType destType  \n",
      "0             6          25       http      vfs  \n",
      "1             6          25       http      vfs  \n",
      "2             6          25       http      vfs  \n",
      "3             6          25       http      vfs  \n",
      "4             6          25       http      vfs  \n",
      "5             6          25       http      vfs  \n",
      "6             6          25       http      vfs  \n",
      "7             6          25       http      vfs  \n",
      "8             6          25       http      vfs  \n",
      "9             6          25       http      vfs  \n",
      "10            6          25       http      vfs  \n",
      "11            6          25       http      vfs  \n",
      "12            6          25       http      vfs  \n",
      "13            6          25       http      vfs  \n",
      "14            6          25       http      vfs  \n",
      "15            6          25       http      vfs  \n",
      "16            6          25       http      vfs  \n",
      "17            6          25       http      vfs  \n",
      "18            6          25       http      vfs  \n",
      "19            6          25       http      vfs  \n",
      "20            6          25       http      vfs  \n",
      "21            6           8       http      vfs  \n",
      "22            6           8       http      vfs  \n",
      "23            6           8       http      vfs  \n",
      "24            6           8       http      vfs  \n",
      "25            6           8       http      vfs  \n",
      "26            6           8       http      vfs  \n",
      "27            6           8       http      vfs  \n",
      "28            6           8       http      vfs  \n",
      "29            6           8       http      vfs  \n",
      "30            6           8       http      vfs  \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "job_size = 40802190232 #bytes\n",
    "job_size_mb = (8*job_size)/1000000\n",
    "\n",
    "\n",
    "ods_results = pd.read_csv(\"./results/ods_download_results.csv\")\n",
    "\n",
    "rclone_results = pd.read_csv(\"./results/rclone_download_results.csv\",names=[\"job_size\", \"total_seconds\", \"mbThroughput\",\"concurrency\", \"parallelism\",\"pipe\", \"credId\", \"destRemote\"])\n",
    "rclone_results['mbThroughput'] = job_size_mb/rclone_results['total_seconds']\n",
    "\n",
    "\n",
    "print(rclone_results)\n",
    "print(ods_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['job_size', 'total_seconds', 'mbThroughput', 'concurrency',\n",
      "       'parallelism', 'pipe', 'credId', 'destRemote'],\n",
      "      dtype='object')\n",
      "Index(['jobId', 'jobSize (MB)', 'totalSeconds', 'throughput (Mbps)',\n",
      "       'concurrency', 'parallelism', 'pipelining', 'sourceType', 'destType'],\n",
      "      dtype='object')\n",
      "0     6528.350437\n",
      "1     5532.500370\n",
      "2     6277.260036\n",
      "3     6400.343566\n",
      "4     6800.365039\n",
      "5     5934.864034\n",
      "6     6400.343566\n",
      "7     5100.273779\n",
      "8     4800.257674\n",
      "9     6400.343566\n",
      "10    5828.884319\n",
      "11    6945.053657\n",
      "12    5726.623190\n",
      "13    5351.106916\n",
      "14    6400.343566\n",
      "15    5100.273779\n",
      "16    4239.188596\n",
      "17    5828.884319\n",
      "18    5532.500370\n",
      "19    6277.260036\n",
      "20    6158.821167\n",
      "21    5264.798740\n",
      "22    5828.884319\n",
      "23    5726.623190\n",
      "24    5726.623190\n",
      "25    6661.582079\n",
      "26    5532.500370\n",
      "27    6945.053657\n",
      "28    5934.864034\n",
      "Name: mbThroughput, dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(rclone_results.columns)\n",
    "print(ods_results.columns)\n",
    "\n",
    "print(rclone_results['mbThroughput'])\n",
    "plt.plot(rclone_results['mbThroughput'],  label='RClone Download')\n",
    "plt.plot(ods_results['throughput (Mbps)'], label='ODS Download')\n",
    "plt.legend()\n",
    "plt.title(\"Http Download Throughput\")\n",
    "plt.ylabel('Throughput (Mbps)')\n",
    "plt.xlabel('Runs')\n",
    "\n",
    "plt.savefig(\"http_throughput_graph.png\")"
   ],
   "metadata": {
    "collapsed": false
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}