diff --git a/data/plots.ipynb b/data/plots.ipynb
index 7c82145..4d1854a 100644
--- a/data/plots.ipynb
+++ b/data/plots.ipynb
@@ -297,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -340,63 +340,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
-     "ename": "KeyError",
-     "evalue": "'cellid'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m\u001b[0m",
-      "\u001b[0;31mKeyError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2894\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2895\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2896\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mKeyError\u001b[0m: 'cellid'",
-      "\nThe above exception was the direct cause of the following exception:\n",
-      "\u001b[0;31mKeyError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-15-321c7c9e2c3d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgantt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"./gantt_parallel.csv\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"../graphics/gantt_parallel.pdf\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m<ipython-input-14-8019dd655d18>\u001b[0m in \u001b[0;36mgantt\u001b[0;34m(infile, outfile)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mdfp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"cellid\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdfp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"start\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"white\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2904\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2905\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2906\u001b[0;31m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2907\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2908\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2895\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2896\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2897\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2898\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2899\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mtolerance\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyError\u001b[0m: 'cellid'"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-16-3629198e8c08>:25: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
+      "  plt.axes().spines[axis].set_linewidth(ticwidth)\n",
+      "No handles with labels found to put in legend.\n"
      ]
     },
     {
      "data": {
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 432x216 with 0 Axes>"
+       "<Figure size 432x216 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
-    },
-    {
-     "ename": "KeyError",
-     "evalue": "'cellid'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m\u001b[0m",
-      "\u001b[0;31mKeyError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2894\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2895\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2896\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mKeyError\u001b[0m: 'cellid'",
-      "\nThe above exception was the direct cause of the following exception:\n",
-      "\u001b[0;31mKeyError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-15-321c7c9e2c3d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgantt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"./gantt_parallel.csv\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"../graphics/gantt_parallel.pdf\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m<ipython-input-14-8019dd655d18>\u001b[0m in \u001b[0;36mgantt\u001b[0;34m(infile, outfile)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mdfp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"cellid\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdfp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"start\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"white\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2904\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2905\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2906\u001b[0;31m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2907\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2908\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2895\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2896\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2897\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2898\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2899\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mtolerance\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyError\u001b[0m: 'cellid'"
-     ]
     }
    ],
    "source": [
@@ -406,63 +374,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
-     "ename": "KeyError",
-     "evalue": "'cellid'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m\u001b[0m",
-      "\u001b[0;31mKeyError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2894\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2895\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2896\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mKeyError\u001b[0m: 'cellid'",
-      "\nThe above exception was the direct cause of the following exception:\n",
-      "\u001b[0;31mKeyError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-8-0b176ee21aac>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgantt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"./gantt_serial.csv\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"../graphics/gantt_serial.pdf\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m<ipython-input-6-8019dd655d18>\u001b[0m in \u001b[0;36mgantt\u001b[0;34m(infile, outfile)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mdfp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"cellid\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdfp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"start\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"white\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2904\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2905\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2906\u001b[0;31m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2907\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2908\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2895\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2896\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2897\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2898\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2899\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mtolerance\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyError\u001b[0m: 'cellid'"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-16-3629198e8c08>:25: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
+      "  plt.axes().spines[axis].set_linewidth(ticwidth)\n",
+      "No handles with labels found to put in legend.\n"
      ]
     },
     {
      "data": {
+      "image/png": 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maVrDsQ3y9lBJewEzI+JgYFbe/+Y2110zb2e1KWNmZj2qSIB6oGD5IhYDdmpz/C35tUJ+/8e83VjSUi0y+SY1lDUzs2GkSJr5ucBkSauW2YCIWDsi1OxFSjuHNNWRImLzfM5s4HbS0vP7NV5T0k7AGqRZJvpbv8rMzHpQkQB1GvAb4CpJUzT0OarfzNuTJK1X2ylpZeCs/PZEzyJhZjY8dXzLLiJC0sdJUwhdDiyUNJf0/KhZ8XXLaWLL9lws6WzgUODPkq6gb7LY5YDpwHerbIOZmVWnyDiotYHrgAmkMVBLAGu1KN6V/NWIOEzSDcDhpGdYY4B7Sct+nO3ek5VlKObFcxa4jXYdL7ch6SJSqvm1pNt9M2kzDioi2s3y0LM8DsqaGaqJW81GunbLbRQJUE+Q1n7aMCIWlNnAXuIAZc04QJlVo6z1oMYCt47k4GRmZr2jSIC6A1ilqoaYmZnVKxKgvg28Q9K2VTXGzMyspsjMEHcApwC/k/Qd4LfAIzRPMyciHm6238zMrBNFkiReqX1J/2nkERFVTYtUKSdJWDNOkjCrRrskiSJBZDZdGt9kZmbWcQ9qtHAPyppxD8qsGmWlmZuZmXWNA5SZmfWkYZnIYKNblbfbWt1q8y04s+5rGaBy1l4AG0XEX+uy+DoxbLP4zMysN7QLIsqv+vedGuq1oszMbJhrGaAiYrF2783MzKrkoGNmZj2p4wAl6aOStuug3DaSPjq4ZpmZ2WhXpAd1HnBwB+UOAs4t0ghJYyVNkXSKpBmSnpW0QNIcSRdLmtzP+ftLul7SM5Kez9c4XJJ7iGZmw1QVmXYDSZDYCfhd/nouaWn5+cBGpFV895H0tYj40iKVSWcChwEvAlcCC4EpwHeBKZL29dLvZmbDTxU9jDVosxR8C68CPwd2jIjVImKviPjXiNgE+CDwCnCcpJ3rT5K0Dyk4zQU2zeftDawP3APsDXxycN+OmZkNhbZz8TU8SzoPuAH4YYviiwMbAp8mrbzb7/OqTkn6IenW4TkRcVDd/hnAlsC0iDi/4ZydgGtIwWtCp70oz8XX+4ZioK6ZVWMws5mfx+tnMN8+v1rWReoNnVyohf37Y96u8VpF0hqk4LQAuKjxhIi4VtIcYAKwDXBTyW0yM7MK9RegzqcvQE0DHgBubFF2ATAHuDQi7iinea9ZP28frds3MW/viogXWpx3KylATcQBysxsWGkboCLigNrXkqYBN0TEx6puVD1JqwK1dvy87tA6efu3NqfXVvVdp00ZG6ChWoLCt+HMRociWXzrUDz5YVAkLQ5cACwPXBkRv6g7vEzezm9ziVp7l21x/ZYfdar603dEqDZS+N/AbHTrOEBFRLueSlW+R0oZnw18eAjqNzOzIVJ4HJSkccBWwOrAuFblGrPqBlDP6aTMvbnAlIiY21Ck1jsa3+YytV7Wcy3auMif6M7i61z1t/j8b2A20rW7U1IoQEn6DPAlYLkOig84QEk6BfgU8A9ScLq/SbFZefvmNpdas6GsmZkNEx0HKEkfA07Jb+8B7gWeLbtBkr4FHAk8CbwzIu5uUbSWer6xpKVaZPJNaihrZmbDRJEe1KdIT8U/EhEXVtEYSScCxwBPA++KiDtblY2I2ZJuB7YA9qOhx5YH6q5BukV4cxXtNTOz6hSZ6uitwE0VBqevA58F5pGCUye9nm/m7UmS1qu71srAWfntiZ6Lz8xs+Gk71dHrCkpPAL+NiH8rvRHSe4FL89sZwF0tit4bESc2nHsWcChpstgr6JssdjlgOrBvRHS8XL2TJDo3VOOgzGzkGMxUR/VuAt5WUpsavaHu663yq5lrgdcFqIg4TNINwOGkWdHHkJ6PnQOc7d6TmdnwVKQHtSUpSP17RPy40lYNIfegOucelJkNVlk9qPHAqcA5kt4N/JI0lVDTHkpEXFe4pWZmZlmRHtSrpCw+0f8cNxERVSyGWLnh2oNyb8bMhqOyelDXUfXka2ZmZlnHPajRwj2o5obZj8PMhol2Pagqlnw3MzMbNAcoMzPrSUXm4tuxyIWdxWdmZoMxkCy+TjiLr8v8DMrMhqOqs/gWIy15UVva4mbSdENmZmYDVloWn6S3AecCzwC7R8TLpVy4y9yDam6Y/TjMbJjoShZfRPwFeD/wduBzZV3XzMxGp9LHQUm6EpgQERuUeuEucQ+quWH24zCzYaLb46Dm0X4ZdjMzs36VGqAkLQtsSwVLwZuZ2ehSZBzUWm0OLwNsABwLrAL8zyDbZWZmo1zZ46AEzAa2i4g5g2zbkPAzqOaG2Y/DzIaJssZBPUzrALUAmANcCZwZEfOKNdHMzOz1Rsxs5pL2Bw4FNqVv2fdzKbjsexk9qCp7MyPkn8vMDOhyFp+kxSQdWPZ1+6nzTNJzr62A64HfAf8CfBe4WJInxTUzG2ZK++DOgWkacB/ww7Ku20G9+wCHAXOBTSNir4jYG1gfuAfYG/hkt9pjZmbl6PcWn6TVgV1J2XmPAZdHxN8byuwPHA+sS0qUeCwiVquiwU3aNwPYEpgWEec3HNsJuIYUvCZ0cqvPt/jMzLqn3S2+tgFK0hHAicASdbsXAEdExPclvYV0a21rUmB6DjgZODUi5pf1DbRp3xqkrMEFwAoR8UKTMo8AE4DtI+KmDq7pAGVm1iUDyuLL6z99J799DvgrsDywDnCWpIeA80k9q4XAWcA3IuKJMhvfj4l5e1ez4JTdSgpQE4F+A1QZHETMzAavXZr54Xl7FnB0RLwIIGlj4OfApcA44M/AByLiviob2sI6efu3NmUebij7mlpvqRlVPbDIzMzaapcksQ3pw/2IWnACiIi7gM+QgtMLwK5DFJwgzWAB0O524vN5u2zFbTEzsxK160GtDPwmIl5pcuzmvL0uIh4rv1nd0eyeZzfVPe/qajuGot7RUudQ1evvdeTVOVT1DtX32ky7HtSSwNPNDtTNFDG37AYVVOsdjW9TptbLeq7itpiZWYkGOw5qqNMBZuVtu+U9akvRz2pTxszMekx/c/GtmrP5Ch+PiOsG3qyO/TFvN5a0VItMvkkNZc3MbBhoOQ6qw9nLW4mIKDIR7YBJug3YgpIG6naT72uPvDqHql5/ryOvzqGqt5eeQbULULMYxC28iFgkrbsKkvYFLiIFoXdExMy8f2XgamAj4NMRcXo32mNmZuUYEbOZSzqLNJP5i8AVpIHDU4DlgOnAvi2yEc3MrEeNiAAFr80HeDiwCX3LbZxDweU2zMysN4yYAGVmZiOL10nqMklvlXSEpAsk3SvpVUmRn6VVUd9YSVMknSJphqRnJS2QNEfSxZImV1FvrvuTkn4m6R5JT0paKOkfkq6Q9GF1aT4pSSfkn3FIOrqiOs6rq6PZ694q6s11LyXpWEm3Spon6Z+SHpJ0kaTtS6xncj/fY/1rrbLqzXWvIekMSfdJekHSi5Lul/S9PGl1JSStKem7kh6Q9JKkJyT9VtKeg7jmgD8DJO0v6XpJz0h6Pv+fPlz9rHk3kDq7/VnVTFcy7ex1DgWO6GJ9O5EWcISUSHIdaWqojYB9gH0kfS0ivlRB3Z8lzUjyF9JEvfNJY9Z2IT0j3FfS+6u8BStpEnAsKeGnGwHxRmBmk/2PVlGZpHWAy4H1ch1XAy+Tfs5TgTtym8owF/hxm+NbAxsCD5BWGSiFpInAVcAKwCPAb/OhrYCPA/8mabdOVisoWO8k4DfAG0jzff4SWJX0+7urpK9GxJcHcOkBfQYoLcx6GOlZ+5X0PWv/LjBF0r5t/i8NpM5uf1YtKiL86uILOBj4FvAB0vpZ15A+PPetqL5dgItJGY6Nx/6V9GEWwM4V1L0DML7J/o1JH3YBHFjhz3pJ4G5gDnBJru/oiuo6L1//gC7+Lo0nBcNXSX8MjGk4vhLwL11sz935Z/CFkq97U77u94GxdfvHAj/Kx+4ouc5xpLlIA/hPYPG6Y9uRZtkJ4F0DuHbhzwDSH5NB+iNk/br9q9T93I8ouc6uflY1bUO3KvKr5S9B1//RG+r/Ya7/R12u97hc74UV1nFSruM9dQFkJAWob+Y6zxiK352Gtmyb2/IysHqJ1x2XrxvAak2Or1Z3fOkS6/1QvubM+qBYd/zofPz6EurqJFjMyGU+2uTYTnXBa7Gy6izjnMG+/AzKajNsrNHlel/O25equLiktwNHkQLgL6qoYyhJWgI4JL89dSjbkn0sb38TDStuD9Ir9P2utDOftLpCWWoz0FwbEQubHL88b7eXtGqJ9S5CaWHWLUkLs17UeDwiriXdJViVtArFiOFnULZ+3lbyjKSZ/NzkE/ntZRVcfxzpWclTdP8e+s6SNiVNUvwYcAPwuyj/OduWpFt4cyLiIUlbAHuTnvk9BlweETeUXGdTkpYm3S6GdMutNBGxUNKVwG7AVyQdXgsYksYCX6vVG/nP/JLUJplutQBrbb9IM9n8qsS6G/Xkwqzd4AA1iuW//A7Ib39eYT0Hkm5DjCX11LYjZZCeEBGXVFDlN4C3Ah+M7q7wDPDRJvvulvTBiPhzifVskrdzJJ1M6i3WO07SdODDEdFuvbQy7Edab+1x4P8quP5hpGSFQ4A9JM3I+ycBKwKnkRJhyvR43rbKEFy37uuqZ80Z1MKsw5lv8Y1SkhYHLgCWB66s+DbY9sA0YH+gNrnwcfT99VsaSdsBnwamR8RPy75+G38CPkXKjlwGWB3Yi5RFtxFwhaQJJdb3hrydSApOp5Ey+VYE3ke65TOVtCJ21Wq3985vcTtsUCLiQdIfNb8m/YEzNb8mkBIErq+g3qvyds98i63RoXVfL1dy3Y1G7cKsDlCj1/dIKaqzgQ9XWVFEHBxp4smlSRl8pwHHA7+XtHpZ9UhaipSs8Czpr+6uiYjTIuKMiLgnIuZHxKMR8UtS6vXvSbfePl9ilbX/u2OBCyLiMxHxQETMi4jLSB/gAXxE0rqtLjJYktaj74+OcyqqYzvSUIX1SMH3Tfk1lRSQfy6p1GESEXEVaUjGUsDvlMYSLitpPUlnkJIoakHRM9VUxAFqFJJ0OnAQKdV7SkR0ZeHJiHghIu6OiGNIH9abkcZwlOUE0jO1IyOia8/U2omIBaRsO4B3l3jp+gU4f9Ck3hnAbaRnJDuVWG+jWu/p5oi4p+yLS1qBNJ/mssDuEXFZRDyRX5cCu5OSI46TtH7rKw3IfqQxZBuQ5vh8Frgf+A/SH1l35HJPlVxvo1G7MKufQY0ykk4h3Yr6Byk43T9ETTkPOBl4j6SxJd2i2Zv01+w0SdMajm2Qt4dK2guYGREHl1BnJ2qzSJR5i++hFl83ltmKlN1VOklj6HvmVmpyRJ09Sb2lq/KtvteJiJmSbgEm51dpv88R8bikdwDvJI0nXImUgHJpRMyQVMtWLPPZYjOz8nbULczqADWKSPoWcCTwJPDOiLh7CJvzNCl9eHHS85THSrruYrTvMbwlv1Yoqb5OrJS3z7ctVUz9Apwr0XzmhjdWUG+93UhB93mgqud9tSmTnmlTZl7evqFNmQHJmYG/o282FgDybdPVSP+Xbi+73gajdmFW3+IbJSSdCBxDCgzviog7h7hJO5KC0zxap/IWEhFrR4SaveiboueYvG/zMurs0Afy9tayLhgRc4Bb8tspjcclrUhKf4Y0yLMKB+XtzyKiqiBY66VsmdPKXyfv2zK/bdWTrEJtTsfv59u4lYmI2aQguATptuPrKC3Mugbplv3NVbal2xygRgFJXydNhTOPFJwq/ytL0g6S9srZgo3HtqfvltCPYpiv1SVp8/y9jmnYv7iko0i3VAG+U3LV38jbL0jaqq7eccDZpAzN26jgQ0vSG0kzdEB1t/cgZe79k9ST+o6kJevasCRpGqI1SX94/bbpFQZI0iaSxjfsW1zSF0lzAM6k79+garXnmCflxJRae1amL1PzxArG2w0pL7fRZXlAZX3q70akB8D3U/ewNSJKGREu6b3ApfntDOCuFkXvjYgTy6gz13sAcC4pKN5O+utuWdL4kY1ysV8C+7UZfFgaSeeRUt2PiYiTS772VNJcf0+RvtfHSbfdNiGlm78KfC4ivl1mvbnu2hiohaRswSdJmYOrk1LNd67iOaOkz5BmsLg3IjYs+/oNdU0jBcExpB5V7ZbalqTbbC+RxrxNL7ne80g9lttJP8ulSDM1rEz6/7prRMwawHUH9BmgQSzMOpA6u/1Z1VS35lTy67X5rCbTN3dYy1eJ9R3QSX3ANSV/n+sAXyXNrv0wKdPqRdJD3IuBqV3+uZ9HRXPx5e/1NNII/jn5+3yB9B/5HGDLir+395PG7TxN+rC+HzgFeFOFdd6Zf57HdOnfbwvgfNJtvBfz6wHSXJIbVVTnVNLA49m5vnmk26pHAeMGcd0BfwaQxhLeSMoonE/qIR9OP3PwDaTObn9WNXu5B2VmZj3Jz6DMzKwnOUCZmVlPcoAyM7Oe5ABlZmY9yQHKzMx6kgOUmZn1JAcoMzPrSQ5QNuJIerek/5Y0U9Lzkl6S9IikX0r6hKRSFnWTFJIWGUgo6Zp8bHKBax1fu17d6xVJT0i6StKBklRGu4to9T12cN7a+dxZFTTLRgnPZm4jRp6X7Gf0zWZ+D3A5sIA0meY7SWsyfU3SVhHRbgntofIAcEP+eknS0vU759f7JO0TPTB3oaRrSD/nnSPimqFtjY1UDlA2IuSF7W4krbp6M/CJaJixPfecDgW+SFqJtRcD1A0RcUD9Dkl7k6aHeh9wIGl6n24Z6Dx7c/K5pS8Bb6OHb/HZSPFdUnD6A7BLY3ACiIjnIuJbpElGy1p/qnIRcQnwP/ntIsstVFz3vRFxb/8lFzlvYT73gSraZaODA5QNe3nxuA/lt5+IiBfblY+ImdFkSXhJu0m6TNJjkhZIelTSTyRtUkW7C6qt6fS6VVUlbSzpfEmz87O2JyT9StIezS4iaZykz0m6ve753KOSbpb09bxUR3351z2DkjQ5v6/dRr264bnZ5Fyu7TMoSW+WdJakB3MbnpZ0taT9W5SvPaM7XtIqkv4rP1d8SdJDkk5sbLsNf77FZyPBXqQ/tv4cA1zrStLppHWbXiYtLPgIqUf2QWBqfvbzq5LaOxDL5e1LtR15KZWfkZ5V3QVcT3rWthuwh6SvR8RxdeUXIy1xsgtphdpr83YV0rOuL5J6onPbtGMuafHH3fN5v20o3+7cWju2Ia3ztAJpdvJLSKvhTgYmS9odmBbNZ7JekzSDt0izxy8H7EBa72wj4L391W/DSDemyvfLrypfpGUYgrT44UDO/0Q+/y/ABg3HppKeozwNrNhwrOlyA8A1+djkAm04Pp9zXpNji5GCZgA/zvtWJQWXAI5sKD+ZtBRDALvV7d8x77sNGN9wjoDtgaXL+B6BtfPxWQ37x5GWXwnSAo5j6o69jXTrNYCPt/j5BPADYIm6YxsCz+Vj2w/176Nf5b18i89Ggjfl7eNFT8yr4H4pv/1ANDxvibQI3n+R/tr/8MCbWJykJfLtxZ8CWwGvkHo4AIeQeg83RsSp9edFyqo7I789uu7QKnl7fUTMbzgnIuLGiPhnud/FIvYj9YJmAcdGXUZiRPwF+HJ+e/SipwJpbaZPRd0y6xFxD/Df+e2UshtsQ8cByka7zUmrst4VEXe3KHNt3m7bhfZMq3vu8xJpYcB9ST2Ej0TErblc7RnQj1tc55y83UF9S9HfTgpyB0k6TNIqzU+tVK3dF0ZEswy/80g9ofUkTWhy/KpovgJz7Q+L1QffROsVfgZlI8E/8nblAZz7lrzduIMBqW/q53gZ6sdBvUJaxfUO4LKImFdXrvbh/VCL68wiLTU/jrT8/OMR8UBeqv1k4EzgTEkPkp7lXApcEtWPsWrb7oh4UdLfc7kJpHT1eg+3uO6zeetEiRHEAcpGgtuAjwCTBnBurXcxB7iin7KF060HYJFxUP0oNMtDRJwh6SLSs7Ud8uvD+fUnSTtFxLNtLlGWgS7l/WqprbCe5gBlI8EvgVOBTSRNjGKZfLPz9tGCgWGozQE2IPUAr2xyfG3SLfwXgafqD0TEXOB7+YWkzUjPcDYHPgd8oaI2Q1+P6C3NDuZU8dUbytoo5WdQNuxFxExSIgHA2ZKWbFde0rqSVstv/wA8CUyUtF6FzSxb7bnYR1scPzBvb4iIl9tdKCLuAE7PbzfrsP5akkLRP3Jr7f6QpGbnTiNlFM6MCAeoUc4BykaK/wAeBN4OXNVscK2k8ZKOJN0SXAXSjAfA10i3+qZL2rrJeUtIeq+kDar8Bgr6ASlxYgdJn6o/IGlH4JP57Sl1+3dRmkh38YbyY0hzFELn0z/VgkfRqZAuIvVa1wG+mcdm1dqxEfCV/Pbkgte1Eci3+GxEiIinJO1AGri6A3CnpLtJz40WkB64b00a1PoYdbe9IuJ0SW8GPgPcIulOUrJC7byJwHhgD7rzHKpfETFX0kdIPcfTJR1MGse1OvAO0h+fX4+I39Sdtilp7NEzkm4HHgWWJgX11UiDbE/qsAmXAAcA35b0LvpS/L8dEfe1afeLkj5AGqh7NLC3pFtJA3V3BsaSbjd+v8N22AjmAGUjRqTpi94haS/S1EfbkmY8WJyU6XcFKVvtwibjgI6UNJ00mez2wJ7AC6QP8f8DLiPN1NAzIuJSSVuRZlHYhb509MuBM2LRmS9+QRrPtSNploztgOdJmXHfA86OiH/QgYi4TNJhwMdJs8QvlQ9dALQMUPnc30vanPS8a3fg/aSf9c2kwHRhRAw0icJGEPn3wMzMepGfQZmZWU9ygDIzs57kAGVmZj3JAcrMzHqSA5SZmfUkBygzM+tJDlBmZtaTHKDMzKwnOUCZmVlPcoAyM7Oe9P8Bw69ohaom+TkAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<Figure size 432x216 with 0 Axes>"
+       "<Figure size 432x216 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
-    },
-    {
-     "ename": "KeyError",
-     "evalue": "'cellid'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m\u001b[0m",
-      "\u001b[0;31mKeyError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2894\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2895\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2896\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mKeyError\u001b[0m: 'cellid'",
-      "\nThe above exception was the direct cause of the following exception:\n",
-      "\u001b[0;31mKeyError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-8-0b176ee21aac>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgantt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"./gantt_serial.csv\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"../graphics/gantt_serial.pdf\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m<ipython-input-6-8019dd655d18>\u001b[0m in \u001b[0;36mgantt\u001b[0;34m(infile, outfile)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mdfp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"cellid\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdfp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"start\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"white\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2904\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2905\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2906\u001b[0;31m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2907\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2908\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.pyenv/versions/3.9.0/lib/python3.9/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2895\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2896\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2897\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2898\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2899\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mtolerance\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyError\u001b[0m: 'cellid'"
-     ]
     }
    ],
    "source": [