visualization_sfa_project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# This notebook visualizes data from a project for steakholders. They were interested in seing the progress of the project. The project was a migration of 48 shared folders. \n",
    "\n",
    "P.S: They particulary asked for a pie chart ... which I hate!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#imports\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Rectangle\n",
    "\n",
    "%matplotlib inline\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dates</th>\n",
       "      <th>Estimates</th>\n",
       "      <th>Actuals</th>\n",
       "      <th>status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19-Apr</td>\n",
       "      <td>2.20</td>\n",
       "      <td>3.11</td>\n",
       "      <td>done</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3-May</td>\n",
       "      <td>2.33</td>\n",
       "      <td>3.00</td>\n",
       "      <td>done</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17-May</td>\n",
       "      <td>3.55</td>\n",
       "      <td>3.57</td>\n",
       "      <td>done</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31-May</td>\n",
       "      <td>3.33</td>\n",
       "      <td>4.66</td>\n",
       "      <td>done</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14-Jun</td>\n",
       "      <td>4.11</td>\n",
       "      <td>4.84</td>\n",
       "      <td>done</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>28-Jun</td>\n",
       "      <td>3.78</td>\n",
       "      <td>5.45</td>\n",
       "      <td>done</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12-Jul</td>\n",
       "      <td>6.71</td>\n",
       "      <td>8.21</td>\n",
       "      <td>done</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>26-Jul</td>\n",
       "      <td>8.64</td>\n",
       "      <td>0.00</td>\n",
       "      <td>canceled</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9-Aug</td>\n",
       "      <td>3.84</td>\n",
       "      <td>3.69</td>\n",
       "      <td>done</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23-Aug</td>\n",
       "      <td>18.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>canceled</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1-Sep</td>\n",
       "      <td>18.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>canceled (2nd time)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>8-Sep</td>\n",
       "      <td>8.64</td>\n",
       "      <td>10.40</td>\n",
       "      <td>done (rescheduled)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>10-Nov</td>\n",
       "      <td>18.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pending(cancel)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Dates  Estimates  Actuals               status\n",
       "0   19-Apr       2.20     3.11                 done\n",
       "1    3-May       2.33     3.00                 done\n",
       "2   17-May       3.55     3.57                 done\n",
       "3   31-May       3.33     4.66                 done\n",
       "4   14-Jun       4.11     4.84                 done\n",
       "5   28-Jun       3.78     5.45                 done\n",
       "6   12-Jul       6.71     8.21                 done\n",
       "7   26-Jul       8.64     0.00             canceled\n",
       "8    9-Aug       3.84     3.69                 done\n",
       "9   23-Aug      18.40     0.00             canceled\n",
       "10   1-Sep      18.40     0.00  canceled (2nd time)\n",
       "11   8-Sep       8.64    10.40   done (rescheduled)\n",
       "12  10-Nov      18.40      NaN      pending(cancel)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#import data\n",
    "data = pd.read_csv('./data/actuals.csv')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#generate additional columns for the cumulative plot\n",
    "def estimates_for_cum(row):\n",
    "    if row['status']=='pending(cancel)':\n",
    "        return 0\n",
    "    elif row['status']=='canceled (2nd time)':\n",
    "        return 0\n",
    "    elif row['status']=='done (rescheduled)':\n",
    "        return 0\n",
    "    else:\n",
    "        return row['Estimates']\n",
    "\n",
    "\n",
    "data['estimates_for_cum'] = data.apply(estimates_for_cum,1)\n",
    "data['cumulative_estimates'] = data['estimates_for_cum'].cumsum()\n",
    "data['cumulative_actuals'] = data['Actuals'].cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dates</th>\n",
       "      <th>Estimates</th>\n",
       "      <th>Actuals</th>\n",
       "      <th>status</th>\n",
       "      <th>estimates_for_cum</th>\n",
       "      <th>cumulative_estimates</th>\n",
       "      <th>cumulative_actuals</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19-Apr</td>\n",
       "      <td>2.20</td>\n",
       "      <td>3.11</td>\n",
       "      <td>done</td>\n",
       "      <td>2.20</td>\n",
       "      <td>2.20</td>\n",
       "      <td>3.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3-May</td>\n",
       "      <td>2.33</td>\n",
       "      <td>3.00</td>\n",
       "      <td>done</td>\n",
       "      <td>2.33</td>\n",
       "      <td>4.53</td>\n",
       "      <td>6.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17-May</td>\n",
       "      <td>3.55</td>\n",
       "      <td>3.57</td>\n",
       "      <td>done</td>\n",
       "      <td>3.55</td>\n",
       "      <td>8.08</td>\n",
       "      <td>9.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31-May</td>\n",
       "      <td>3.33</td>\n",
       "      <td>4.66</td>\n",
       "      <td>done</td>\n",
       "      <td>3.33</td>\n",
       "      <td>11.41</td>\n",
       "      <td>14.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14-Jun</td>\n",
       "      <td>4.11</td>\n",
       "      <td>4.84</td>\n",
       "      <td>done</td>\n",
       "      <td>4.11</td>\n",
       "      <td>15.52</td>\n",
       "      <td>19.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>28-Jun</td>\n",
       "      <td>3.78</td>\n",
       "      <td>5.45</td>\n",
       "      <td>done</td>\n",
       "      <td>3.78</td>\n",
       "      <td>19.30</td>\n",
       "      <td>24.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12-Jul</td>\n",
       "      <td>6.71</td>\n",
       "      <td>8.21</td>\n",
       "      <td>done</td>\n",
       "      <td>6.71</td>\n",
       "      <td>26.01</td>\n",
       "      <td>32.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>26-Jul</td>\n",
       "      <td>8.64</td>\n",
       "      <td>0.00</td>\n",
       "      <td>canceled</td>\n",
       "      <td>8.64</td>\n",
       "      <td>34.65</td>\n",
       "      <td>32.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9-Aug</td>\n",
       "      <td>3.84</td>\n",
       "      <td>3.69</td>\n",
       "      <td>done</td>\n",
       "      <td>3.84</td>\n",
       "      <td>38.49</td>\n",
       "      <td>36.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23-Aug</td>\n",
       "      <td>18.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>canceled</td>\n",
       "      <td>18.40</td>\n",
       "      <td>56.89</td>\n",
       "      <td>36.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1-Sep</td>\n",
       "      <td>18.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>canceled (2nd time)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>56.89</td>\n",
       "      <td>36.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>8-Sep</td>\n",
       "      <td>8.64</td>\n",
       "      <td>10.40</td>\n",
       "      <td>done (rescheduled)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>56.89</td>\n",
       "      <td>46.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>10-Nov</td>\n",
       "      <td>18.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pending(cancel)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>56.89</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Dates  Estimates  Actuals               status  estimates_for_cum  \\\n",
       "0   19-Apr       2.20     3.11                 done               2.20   \n",
       "1    3-May       2.33     3.00                 done               2.33   \n",
       "2   17-May       3.55     3.57                 done               3.55   \n",
       "3   31-May       3.33     4.66                 done               3.33   \n",
       "4   14-Jun       4.11     4.84                 done               4.11   \n",
       "5   28-Jun       3.78     5.45                 done               3.78   \n",
       "6   12-Jul       6.71     8.21                 done               6.71   \n",
       "7   26-Jul       8.64     0.00             canceled               8.64   \n",
       "8    9-Aug       3.84     3.69                 done               3.84   \n",
       "9   23-Aug      18.40     0.00             canceled              18.40   \n",
       "10   1-Sep      18.40     0.00  canceled (2nd time)               0.00   \n",
       "11   8-Sep       8.64    10.40   done (rescheduled)               0.00   \n",
       "12  10-Nov      18.40      NaN      pending(cancel)               0.00   \n",
       "\n",
       "    cumulative_estimates  cumulative_actuals  \n",
       "0                   2.20                3.11  \n",
       "1                   4.53                6.11  \n",
       "2                   8.08                9.68  \n",
       "3                  11.41               14.34  \n",
       "4                  15.52               19.18  \n",
       "5                  19.30               24.63  \n",
       "6                  26.01               32.84  \n",
       "7                  34.65               32.84  \n",
       "8                  38.49               36.53  \n",
       "9                  56.89               36.53  \n",
       "10                 56.89               36.53  \n",
       "11                 56.89               46.93  \n",
       "12                 56.89                 NaN  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check data\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<matplotlib.patches.Rectangle object at 0x0000026875F12D30>, <matplotlib.patches.Rectangle object at 0x0000026876456B70>)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA98AAAUACAYAAABeS+FwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nk0b63F8JAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26875e84630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('fivethirtyeight')\n",
    "plt.rcParams['axes.facecolor'] = 'white'\n",
    "\n",
    "# create figure\n",
    "fig = plt.figure(figsize=(40,18),facecolor='white')\n",
    "\n",
    "# get index for canceled dates\n",
    "canceled =  data.index[(data.status == 'canceled') | (data.status == 'canceled (2nd time)')].tolist()\n",
    "\n",
    "# ------------------ Bar char to compare estimates and actuals (showing cancelations and reschedules)\n",
    "ax1 = plt.subplot2grid((3,3), (0, 0))\n",
    "bar_estimate = ax1.bar(data.index-0.15, data.Estimates, color='r', width=0.3)\n",
    "bar_actual = ax1.bar(data.index+0.15, data.Actuals, color='b', width=0.3)\n",
    "ax1.set(ylabel='TB (terabytes)', title='SFA Migrations',xticks=data.index)\n",
    "plt.title(\"SFA Migrations (Non-FTP)\", fontweight = 'bold', size=23 )\n",
    "ax1.ticklabel_format(useOffset=True)\n",
    "\n",
    "\n",
    "#color cancelations\n",
    "for cancel in canceled:\n",
    "    bar_estimate[cancel].set_color('indianred')\n",
    "\n",
    "#label all bars\n",
    "def autolabel_estimate(rects, total_cancel):\n",
    "    dates_cancel = data.Dates[data.status == 'canceled'].tolist()\n",
    "    total_cancel = len(dates_cancel)\n",
    "    rects_cancel = rects[-total_cancel:]\n",
    "    print(rects_cancel)\n",
    "    # attach some text labels\n",
    "    rects1 = rects[:-total_cancel+1]\n",
    "    for rect in rects1:\n",
    "        height = rect.get_height()\n",
    "        ax1.text(rect.get_x() + rect.get_width()/2., 1.05*height, str(float(height))+' TB',ha='center',\n",
    "                 va='bottom', size=12, rotation=90)\n",
    "    #cancelations    \n",
    "    #date_index=total_cancel-1\n",
    "    #for rect in rects_cancel:\n",
    "    #    height = rect.get_height()\n",
    "    ax1.text(rects[-1].get_x() + rects[-1].get_width()/2., 1.05*height, \"RESCHEDULED - SFA400\",ha='center', va='bottom',\n",
    "             size=10, rotation=90)\n",
    "    #date_index-=1\n",
    "        \n",
    "def autolabel_actual(rects):\n",
    "    # attach some text labels\n",
    "    rects = rects[:-1]\n",
    "    for rect in rects:\n",
    "        height = rect.get_height()\n",
    "        if float(height) !=0:\n",
    "            ax1.text(rect.get_x() + rect.get_width()/2., 1.05*height, str(float(height))+' TB',ha='center',\n",
    "                     va='bottom', size=12, rotation=90)\n",
    "\n",
    "autolabel_estimate(bar_estimate,len(canceled))\n",
    "autolabel_actual(bar_actual)\n",
    "\n",
    "arr = ax1.arrow(6.9, 7.5, 3.6, 0, head_width=0.5, head_length=0.2, fc='k', ec='k', color='grey', alpha=0.7,label='Reschedule date')\n",
    "arr.set_facecolor('grey')\n",
    "arr = ax1.arrow(8.9, 17.5, 0.6, 0, head_width=0.5, head_length=0.2, fc='k', ec='k', color='grey', alpha=0.7)\n",
    "arr.set_facecolor('grey')\n",
    "arr = ax1.arrow(9.9, 17.5, 1.66, 0, head_width=0.5, head_length=0.2, fc='k', ec='k', color='grey', alpha=0.7)\n",
    "arr.set_facecolor('grey')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "from matplotlib.legend_handler import HandlerPatch\n",
    "import matplotlib.patches as mpatches\n",
    "\n",
    "def make_legend_arrow(legend, orig_handle,\n",
    "                      xdescent, ydescent,\n",
    "                      width, height, fontsize):\n",
    "    p = mpatches.FancyArrow(0, 0.5*height, width, 0, length_includes_head=True, head_width=0.75*height )\n",
    "    return p\n",
    "\n",
    "#legend\n",
    "extra = Rectangle((0, 0), 1, 1, fc='indianred', fill=True, edgecolor='none', linewidth=0)\n",
    "legend = ax1.legend([bar_estimate, bar_actual,extra,arr], (\"Estimate\", \"Actual migrated\",\"Canceled (estimate)\",\"New reschedule date\"),\n",
    "                    loc=2,\n",
    "                    prop={'size':15},\n",
    "                    handler_map={mpatches.FancyArrow : HandlerPatch(patch_func=make_legend_arrow)})\n",
    "\n",
    "legend.get_frame().set_facecolor('whitesmoke')\n",
    "\n",
    "\n",
    "\n",
    "# line of time\n",
    "ax1.plot((11.5,11.5),(20, 0) ,'--',c='silver')\n",
    "plt.xticks(data.index,data.Dates)\n",
    "plt.margins(0.1)\n",
    "#plt.tight_layout()\n",
    "\n",
    "\n",
    "# --------------------- Cumulative\n",
    "\n",
    "ax2 = plt.subplot2grid((3,3), (1, 0))\n",
    "ax2.plot(data.cumulative_estimates,color='r')\n",
    "ax2.plot(data.cumulative_actuals,color='b')\n",
    "ax2.ticklabel_format(useOffset=True)\n",
    "ax2.set(ylabel='TB (terabytes)', title='SFA Migrations (Cumulative)',xticks=data.index)\n",
    "plt.title(\"SFA Migrations (Cumulative)\", fontweight = 'bold', size=23 )\n",
    "plt.xticks(data.index,data.Dates)\n",
    "plt.margins(0.1)\n",
    "plt.ylim(0)\n",
    "# line of time\n",
    "ax2.plot((11.5,11.5),(85, 0) ,'--',c='silver')\n",
    "#plt.tight_layout()\n",
    "\n",
    "\n",
    "# --------------------- Pie chart Count\n",
    "\n",
    "ax3 = plt.subplot2grid((3,3), (2, 0))\n",
    "sizes=[47,1]\n",
    "patches, texts, autotexts = ax3.pie(sizes, labels=['Done: '+str(sizes[0]), 'Pending: '+str(sizes[1])],\n",
    "        shadow=False,startangle=90, colors=['royalblue','coral'],autopct='%1.1f%%')\n",
    "\n",
    "texts[0].set_fontsize(18)\n",
    "texts[1].set_fontsize(18)\n",
    "autotexts[0].set_fontsize(16)\n",
    "autotexts[1].set_fontsize(12)\n",
    "plt.title(\"SFA Migrations Count\", fontweight = 'bold', size=23 )\n",
    "plt.margins(0.1)\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig('.\\\\images\\\\migration_progress.png',facecolor=fig.get_facecolor(), transparent=True, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}