2019q3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8970945653570035\n",
      "0.08170358057190885\n",
      "0.9165266292016017\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "archs = {\n",
    "    'armv7l': 2158170,\n",
    "    'armv6l':  196557,\n",
    "    'x86_64':   51006,\n",
    "}\n",
    "\n",
    "arch_pie = plt.pie(archs.values(), labels=archs.keys())\n",
    "print(archs['armv7l'] / sum(archs.values()))\n",
    "print(archs['armv6l'] / sum(archs.values()))\n",
    "print(archs['armv7l'] / sum([archs['armv7l'], archs['armv6l']]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9428244386523428"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAARoAAADnCAYAAADByJnJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAasElEQVR4nO3deZwcZZ3H8c+vu7ohkAvYJICGFCQIEhISiFwGRA5RCkVUwMUjHLvKIgiC7Ja6QFCBWnF3WdZ1kUNZF0G5XJQSCCBXlCsBAqJACBQhBAIBMrlnpruf/aMq0BlnMj0zXf10d/3er1e/Jump7v52XpnvPFVd9TxijEEppdKUsx1AKdX+tGiUUqnTolFKpU6LRimVOi0apVTqtGiUUqnTolFKpU6LRimVOi0apVTqtGiUUqnTolFKpU6LRimVOi0apVTqtGiUUqnTolFKpU6LRimVOi0apVTqtGiUUqnTolFKpU6LRimVOi0apVTqtGiUUqnTolFKpU6LRimVOi0apVTqtGiUUqnTolFKpc6xHUA1F9cPRwLvA7YDtk1u1X8eA+QBSR4iVTeACrACeCu5LQeWAq8mt8VR4L3SiPeimocYY2xnUJa4fjgBmAZMr7qNb8BLdwBPAU8CC5Lbn6LAW9+A11YWaNFkhOuHw4ADgYOBGcQFs7XVUBsrA88B84G7gDujwHvDbiRVL1o0bcz1w12ATwGHAzOBzewmGhADPA7ckdweigKvbDeSGiwtmjbj+uHewDHEBfMBy3HqaQVwD3ALcIvuZrUWLZo24PrhVsCXgL8DpliO0wgrgOuBq6PAm287jOqfFk2Lcv1QgI8Sl8vRwOZ2E1mzAPgpcG0UeG/bDqN6p0XTYlw/HAWcQlwwkyzHaSadwP8Bl+gop/lo0bSI5PyWM4FvAKMtx2l2c4CLosC733YQFdOiaXJJwZxBXDBbWY7Tah4EztXCsU+Lpkm5fjiCuGDOQgtmqO4B/jkKvIdtB8kqLZomkxzk/SpwIc11Ql07uA44Kwq8ZbaDZI0WTRNx/XAK8BNgP9tZ2tgK4NvAT6LAq9gOkxVaNE3A9cMtgPOJd5P0QtfGeAQ4JQq8J20HyQItGstcP/wE8F/AjrazZFAZ+BHxAeNVtsO0My0aS5Kzef8bOM52FsUS4Pgo8B60HaRdadFY4Prhh4kPTO5gO4t6Vxk4FwiiwNMfijrTommg5BMlH/gueiymWd0OfDkKvOW2g7QTLZoGcf1wNHAt4NnOovq1BPh8FHh/sB2kXWjRNIDrh1OJpzeYaDuLqlkJ+A7xtVP6QzJEWjQpc/3waOKRzBa2s6hB+SUwKwq8LttBWpmugpAi1w//DrgRLZlW9nngNtcPh9sO0sq0aFLi+qEPXEm8YoBqbYcBv3f9cIztIK1Kd53qLPlk6RLgbNtZVN09DxweBV5kO0ir0aKpI9cPHeAqYJbtLCo1rwEfjwLvKdtBWokWTZ24frgZcAPxpOCqvXUQl41OO1EjLZo6cP0wB9xEPHevyoZ3gIN0ZFMbPRhcHz9GSyZrtgLmuH64s+0grUCLZohcP5xNPFGVyp5xwN2uH77PdpBmp7tOQ+D64VeBy23nUNY9DRwQBV6H7SDNSotmkFw//AzxyXg6KlQA9xIfINYziHuhPySD4PrhAcTTPOi/n9rgo8QnaKpe6IhmgFw/3BZ4knj/XKmevhoF3hW2QzQbLZoBSD7Gvgs42HYW1bTWA/vpXMQb06H/wJyHlozatM2BG5OF/1RCi6ZGrh8eTDzVo1L9mUR8KYpKaNHUwPXDcejBXzUwx7h+eLrtEM1Cj9H0IzkuMwc4xHYW1XK6gJlR4D1mO4ht+hu6f2ejJaMGpwj8zPXDgu0gtmnRbILrhzsBF9jOoVraZHRuIi2aflwODLMdQrW881w/zPRKpFo0fXD98IvEUzgqNVTDiJc9ziw9GNyL5ByI59Gzf1V9HRsF3o22Q9igI5rezUZLRtXfpVk9kU+LpgfXD3cD9PwHlYbtge/ZDmGDFs1fC9B1sVV6TnH9cAfbIRpNi6aK64fTgU/azqHaWhH4lu0QjaZFs7HzbAdQmXCS64fjbYdoJC2ahOuHU4GjbOdQmVAEvm07RCNp0bznXEBsh1CZkalRjRYN4PrhZOCztnOoTMnUsRotmtg/o6MZ1XgnZ2VUk/miSa5BOdZ2DpVJReBU2yEaIfNFA5yI/jsoe07KwjQSmf4BSya1mmU7h8q0scBnbIdIW6aLhnhCq8ydpamaTtsvqZz1ojnJdgClgINcP3Rth0hTZovG9cPRwKdt51CK+BPPL9kOkabMFg1wPPEaPEo1gy/bDpCmLBfNibYDKFVlkuuH+9gOkZZMFo3rh+8HZtjOoVQPR9gOkJZMFg1wuO0ASvXiE7YDpCWrRfNx2wGU6sUM1w/H2A6RhswVjeuHeeBQ2zmU6oXQpqPtzBUNsA8w2nYIpfrQlrtPWSyatvyNodrG4cmlMW3FyhsSkRNE5Ed9fO+PKb+8Hp9RzWwb4EO2Q9TbgIpGYqmWkzFm/7Se2/XDrdCPtVXzO8h2gHrrtzRExBWR50Tk58CfgKtFZJ6IPCMiF1RtF4jIn0XkKRH5YXLfNSJyebL98yJyZNVTjxeR+0RkoYicX/U8q5Ovw0XkHhF5XESeFpGjqvL8RUSuTDLMEZFa18eeUct7VsqyabYD1Fut6xftDMwyxjwsIlsbY94WkTxwj4hMBV4FjgZ2NcYYEak+2OoCewMTgXtFZFJy/97A7sBa4DERCY0x86oetx442hizUkT+BnhYRH5TledvjTF/LyI3EE/DeW0N72PPGt+vUja1XdHU+tv9ZWPMw8mfjxWRx4EngMnAbkAHcTFcLSKfIS6PDW4wxlSMMQuBF4Fdk/vvMsa8ZYxZB9wCzOzxmgJcJCJPAXcD7+O9ZWpfMsY8mfx5PnGZ1WKvGrdTyqYPuH64he0Q9VRr0awBEJEdgW8ChxhjpgIhsLkxpkQ8QrkJOBK4o+qxpsdzmX7u3+ALwBhgL2PMNGAZ710E2Vm1XZnaR2bTa9xOKZtywBTbIeppoMcrRhKXToeIjCP5zF9EhgOjjDG/A74B7FH1mGNEJCciE4GdgOeS+w8Tka2T4yufBv7Q47VGAW8YY7pF5KPAhAFm3Yjrh8OS11eqFbTV7tOA1pg2xiwQkSeAZ4FXeK8cRgC3isjmxLs8Z1U9bDHwKHFJnWKMWS8iJPfdDLwfuLbH8RmAXwC/FZGngXnJaw7FruiBYNU6slU0xpiI+KDthr+f0Meme/dx/93GmFN6POc1wDV9vN7w5OtyYL8+nrM6zw/72KanyTVup1QzaKuiydJv+F1sB1BqACb1v0nrSPvkuxOMMTel+RoDsL3tAEoNwDauHw7o0EYzy9KIZlz/myjVNIQ2+j+bpaIZazuAUgO0re0A9aJFo1Tz0hFNC9KiUa1GRzStxPXDEUCtF14q1Sy0aFqMjmZUK9Jdpxazje0ASg3CKNsB6iUrRZO3HUCpQRj0eTQiMlpETq36+0Eiclt9Yg1cVoqmYjuAUoMwlBP2RgOn9rtVjURkSCcPZqVoek5BoVQrqPmHW0TOEpE/JbczgQCYKCJPisglyWbDReQmEXlWRH4hydXNIrKXiNwvIvNF5E4R2S65/z4RuVRE5gFnNOSNtDgd0aREKJf3yT/22GHFOW+NyL2++Su5Ytfr4vCm5J3VyLBuI1sUyphCiXKhRKVQlnKxZEyxJJVCt6kU4+9VCiVI/kyhlHwtQ6GMOGUjhRLiVBCnjDhlcvky4lRMLl8hl6+Qz1XI5SvGyRlyOYOTq5AXjJMz5MVQEIMDxiE+47YllHJOJ4HX73YishfxWvL7EL+/R4AvArsnczkhIgcRz8c0GVhKPPPCh0XkEeA/gaOMMW+KyHHAhcBJydMXjTFDnmc7K0WjI5qUGPL5h8v77vvwun1x5bVXznFuePHruXk7FaQ8HqAbupc6zuuLtiy8tbBYWP1CoVB+uVDILXPyw1flclt3w3aIbDa4V+/ZGf13iFM23fkyXYUypeRr2SnTXShRKpQpFUqUC2VTjr8m5ViiXCxRKZSpFEuYYrcxhXJcjoUSplB+96sUShinTK5QNjjluBzzZXJOGclXyCfFmMtViEsx/prPGRzZUIrgiKGQp1TrP8RM4NfGmA0T1N0CHNDLdo8aY5Yk2zxJPDPlCuLZEO5KBjh54LWqx/yq1hCbkpWi0RFNA0Rmu/Ff6z5jPBhzaG7+grOdm1btKounTyiVxk8olcYfvHbdXz3GgHkzn38zKjhvLCwWVi4sFLteKjrymuNs/k4uN2q9yLaI1O3Tl1JeCqU8hc5NbtU8g56n6/t0vc1MKcAzxpi+pmRZU48XzkrR6IimoUTurszY4+6uGWzJutUn538390TnzhGjWT1VZOOfYgEZWy6PGVsuj9l7fe8//qtEVi4uFJa9UCysWFgsrFtUKJgljlNYns+PWJuTMRUYR/LruM1sug/f8yBwjYgExMVxNDAL+IGIzOhlUrlqzwFjRGQ/Y8xDIlIAPmCMeaZ6IxE5AZhjjFk64HdBdoqm5jGoqq81DBt+WfmzMy8rf5YdZenic5wbXjosN39iQcrvr/U5RhgzcnJX18jJXV29fr8LupY6zuuLioW3FhYLa14oFMqL492zLVfmctuUYNvB755ZVdNowhjzuIhcQzxrJcBVxpj5ItIB/FJEfk08v3dvj+0Skc8Bl0k8cnSAS4Fnemx6AvFyS4MqGjGm/X/Zu344Dnjddg61gTEfy81fcJZz4+pd5JU9RUh1xv8Nu2cvFZw3FxaLKxcWC11RwWGp4wxbkcuNXi8yrp67Z3X0/adnPX1ufxuJiAvcZozZPfn7N4HhxAvRLQA+QlwgJxljHhWR2cDqDbNTisifiBcVALgdmAvsT7yM0lGARzwj5qvAOuKZL/8CzDDGLBeRGcAPjTEH9ZUxKyOaN4n3SfXEvaYgMqcyY9qceNdq1d874dxZ+TtHbiVrpqbyavHu2dix5fLYffrYPVuZk5WLncKyF4qFdxYWC+sXFQpmScEpvJXPj1wrMqYCYy3snr1Th+fYwhgzTUQOBH5K1TS4ffirNdOMMdeKyGnANzfshg30nyITRRMFXsX1w2XoLHtNZw3DRlxa+tzMS0ufYydZ+vI5zq+iw3LzJzpSqXnXqh5GVszI3bu6Ru6+id2zVwvOa4sKhbcXFgtrXigWy4sdJ7/MyW+5KpfbuhR/elasc6w36/Ac1wMYYx4QkZE9FnfszWDXTNukTBRN4jW0aJrai2b7Cf/Q/Y0JYMzhuceeOMu5ae0HZMn0tHetalGE4o7dpQk7dpcmHNrHp2dv5PPLqnbPuqOCI0sdZ/MVudxWnfHu2cgBvuwbNW5XYuOTbzev+nNv66dtavuen0z1NetB9XNs3sc278pa0aiWIHJnZe/pd3btzZasW/UV57a5s/JzRo5OadeqHgRkXLk8bly5PG7fvnfPOl523v30bP2LhUJlScHZbHk+P3JdvHs2psc+yZIaX34ZMFZEtgFWs/EijscRL0U9E+gwxnSISJRsg4jsCexYw2usIl5WaYOIeOXX24mXpN6kLBXNoI6WK7vWMGzEv5eOmfnvpWOYKK++fI7zq+jQ3OOTHKm8z3a2gRpZMaOmdHWNmtL37lnnkoLz+qJC4a3ni8U1T21WXFzL8yaLLH6X+FOnV9l4DbT1yVpsBd472/dm4Msi8gzxWcTP1/Ay1wCXi8iGg8EXEC+B/T3gvv4enIlPnQBcP5wNnG87h6oHYz6ee/SJs5yb1u8sr04XactJzZYzu2OM7RD1kqURzau2A6h6Ebmjss+ed3Ttw3DWrvyKc9v8Wfm7Ro2SNe20XvULtgPUU1au3ob4c3/VZlazxch/Kx07c4/OK6cc1vmD6M7yXveXTK4ddpPbqmiyNKKp82UjqtksNO93v9p9titUKkfkHn38TOfm9ZNad9eqrYomM8doAFw/fBnYwXYO1TjDWbvyFOe3C76Uv2v0KFnbSrtWxzO743rbIeolS7tOAE/ZDqAaazVbjPxh6bgD9ui8asrHOv/lpbvKe95XMrlWONXh0f43aR1ZG9GcD8y2nUPZJVQqXu6RJ890bl4/UZY2467Vm8zuaKuVO7J0jAba7LeEGhxDLndbZb89b+vajxGs6TjFuW3el/J3bTVS1vZ3HVCjPGQ7QL1lbdfpMdsBVHNZxZajLikdd8DUzqt2P7wzeOme8vT7y/Z3rQZcNCIyO7lqu6/vX5NMB9Hz/hkictlAX2+gMlU0UeAtBxbZzqGa03Nmhx1P7j7nI5M6fz7u9K7T5r9Q2e6PxrDeQpQ/NuqFjDHzjDFfT/t1MlU0iTv630RlmSGX+21l/70O7frX/ffovKLzv0uffGCVGdZzIqi0rCW+LKBfIvIdEXleROYCuyT3TRSRO5IVDR4UkV2rHnKoiMxLHrPhWqd313sSkb1F5CEReUJE/igiG57zBBG5JXnehSLyg4G+qSwWze9sB1CtYyXDR/1L6W8PnNJ59eSPdwYv/r487f6ykTQnUZvL7I5+p/BMVj74PDANOAL4UPKtK4DTjTF7Ad8Eflz1MBfYm3giq8tFpOdV188CBxhjpgPnARdVfW8a8QWaU4DjRGT8QN5U1g4GA9xLPEtYs33SoJrcs2aHnU7q/sedclTKR+Yemn+Gc0vXTvLadJH+p0kYgHtq3O4A4pUP1gKIyG+Ip2vYH7ix6iLw6ilMbzDGVICFIvIiUD3agXgJ3v8RkZ2Jp5MoVOcyxnQkr/VnYALwSq1vKnMjmijw1hGXjVKDUiGX/03lw3sd0vWv++3ReUXnT0pHPljHXau7h/DYHLDCGDOt6vbBqu/3NjdNte8B9yZTgn6STc9TM6BBSuaKJtHrRM1KDdRKho+6uHT8AVM6r578ic6LF91b3mMou1bLgSdq3PYB4NMiMkxERhAXw1rgJRE5BkBie1Q95hgRyYnIRGAn4hUQqo3ivYuPTxjke+hVVotGj9OouvuLmTDxxO5/+sjOnf875syuU+e9WNn2IWNqXjIF4BZmd9R0Bq0x5nHixd0WEE8+teHUjS8AJ4vIAuKVDI6qethi4nPJbgdOMcb0/ETtB8DFyfw1dT2skqkzg6u5fvgMsJvtHKq9jWL1iq85tz51fP6evxku6/v7/3YQszvub0iwBsvqiAbiWcaUSlUHw0dfVPrCgbt3/nS3IzovWnRfeer9ZSPLetn0FeLdobaU5RGNC7xIM61/qjIhR6X86dzcx7/u/Lo8QZZNF2Ez4BJmd/yj7WxpyWzRALh+eCfwMds5VHaNZtU7pzm3Pn1E/uHTtr/gpbadMynLu04AV9oOoLJtBSO2+n7pi1u2c8mAFs2t1L52jlJpucp2gLRlumiiwOsG/sd2DpVpa4DrbIdIW6aLJtH2v01UU7s+CryVtkOkLfNFEwXe8+glCcqOMhDYDtEImS+axMW2A6hM+mUUeJmYH0mLBogC7y5gru0cKlMMcKHtEI2iRfMeXS5XNdLNUeBlZlFDLZpEFHi/B9ryOhPVlL5vO0AjadFsTEc1qhFuiwJvge0QjaRFUyUKvPvRT6BUugzxBFOZokXz186zHUC1tZ9HgZe59cW0aHqIAm8ucJPtHKotrQDa9grtTdGi6d03gNW2Q6i2850o8DJ5bZ0WTS+iwFsCXGA7h2or84HLbYewRYumb5cCT9kOodqCAU6NAq9iO4gtWjR9iAKvBJxMfD2KUkNxVRYPAFfTotmEKPDmAf9mO4dqacuAb9kOYZsWTf/OB563HUK1pArwxSjw3rIdxDYtmn4kK1seC/RcA0ep/gRR4A1l5cm2oUVTg+R08dNs51AtZS568ue7Mr0KwkC5fvhT4ETbOVTTexuYFgXeK7aDNAsd0QzM19CPvFX/TtCS2ZgWzQAkx2s+B7T9HK9q0C6NAu+3tkM0Gy2aAYoCbyFwku0cqindQ0avZeqPFs0gRIF3MzDbdg7VVJ4BPpss4aN60IPBQ+D64WXA6bZzKOteA/aNAm+x7SDNSkc0Q3MG8AvbIZRVHcARWjKbpiOaIXL90AH+D/BsZ1ENtx44PAq8B2wHaXY6ohmi5OLLY9DlWrKmBBynJVMbLZo6SD72PhLI1ITTGdZJXDK/sR2kVWjR1EkUeB3AIcAjtrOoVK0GvCjwbrEdpJVo0dRRcpXuwcDvbGdRqXgbOCQKvHtsB2k1WjR1FgXeWuAo4Ge2s6i6WgocmPUJrAZLP3VKkeuHFwLftp1DDdkLwGFR4EW2g7QqLZqUuX54GvAf6OixVT0GfCoKvNdtB2ll+p8/ZVHg/Yj4QsxVtrOoAfsxMFNLZuh0RNMgrh/uQrww3e62s6h+rQG+EgXedbaDtAsd0TRIFHjPAfsA/2s7i9qkZ4F9tGTqS0c0Frh+OAv4ETDcdha1kRuAk6PA01VK60yLxhLXDycB1wEfsp1FsQrwo8D7se0g7Up3nSyJAu8F4MPAucA6y3Gy7FZgNy2ZdOmIpgm4frgjcBnx9VKqMZYCp+ulBI2hRdNEXD88ivicmwm2s7SxCnA58K0o8HTu5wbRomkyrh9uQbw7dTZQsByn3SwA/iEKvIdsB8kaLZom5frhrsCFwNGAWI7T6hYRL+Z2fRR4+h/eAi2aJuf64e7Ad4iX5dWD9wOzBLgIuEonDbdLi6ZFJGcWfxv4ApC3HKfZvQxcDPwsCrwu22GUFk3Lcf1wJ+BbwCz0GE5PDxMf6L1ORzDNRYumRbl+OIZ4dHMiMNVyHJtWEF/WcWUUeE/bDqN6p0XTBlw/3JO4cI4HtrYcp1H+AFwB3JjM2ayamBZNG3H9cDPgU8AJwKFA0Wqg+jLAfCAEbogC78+W86gB0KJpU64fDicuGw84AtjebqJBWQXMIS6X23VemNalRZMRrh9+kHji9EOAj9Ccu1iriU+qe4R4gvcH9KBue9CiySjXD8cTH0SeCkxJvu4COA2K0AE83uP2fBR4lQa9vmogLRr1LtcPi8BuwAeBccDY5Damx9cRPR5aqbqVgW5gOfBGclsGvAIsTm4REOlZutmhRaMGzPXDDScMVrQsVC20aJRSqdNrZ5RSqdOiUUqlTotGKZU6LRqlVOq0aJRSqdOiUUqlTotGKZU6LRqlVOq0aJRSqdOiUUqlTotGKZU6LRqlVOq0aJRSqdOiUUqlTotGKZU6LRqlVOq0aJRSqdOiUUqlTotGKZU6LRqlVOq0aJRSqdOiUUqlTotGKZU6LRqlVOq0aJRSqdOiUUqlTotGKZW6/wcrqxpqA9A/pgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "oss = {\n",
    "    'raspbian': 2274184,\n",
    "    'debian': 92020,\n",
    "    'ubuntu': 37600,\n",
    "    'other': 8293,\n",
    "}\n",
    "\n",
    "os_pie = plt.pie(oss.values(), labels=oss.keys())\n",
    "oss['raspbian'] / sum(oss.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.32645446194040917"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOoAAADnCAYAAAAQCsqQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAcNElEQVR4nO3deXhc9X3v8fd3ZmTZsmV5t+V1DI7xjnHZEuJAKHBJRYAEkpA0qQIhJdywhpA7KQmdcJNGpLnp5UnTcpu0hLZmq9mZQDDBmN0UbMfCxmCCx7Ykb8j2IHnRNt/7xxmDENo9M79zZr6v55nHY+lozsfLZ35nzvYTVcUY428h1wGMMX2zohoTAFZUYwLAimpMAFhRjQkAK6oxAWBFNSYArKjGBIAV1ZgAsKIaEwBWVGMCwIpqTABYUY0JACuqMQFgRTUmAKyoxgRAxHWAQiIiQ4FngVK8v9vlqvq3XZb5B+DTmd+WARNUdVReg5rAEbvDQ/aIiADDVbVZREqA54FrVfXlHpa/GjhBVS/LZ04TPLbpm0Xqac78tiTz6O2d8MvA3TkPZgLPipplIhIWkXXAbmCFqq7uYbkZwEzg6XzmM8FkRc0yVe1Q1cXAVOBkEVnQw6KX4H2G7chfOhNUVtQcUdX9wErg3B4WuQTb7DX9ZEXNIhEZLyKjMs+HAWcDm7pZbg4wGngpvwlNUFlRs6sSWCki64H/xvuM+piI3CIi53da7hLgHrVd7qaf7PCMMQFgI6oxAWBFNSYA7BRCH4vGEqXAbGAiMA4Y28Ov44AhwGHgUC+/HgCSwObM4+1kTdXBvP2BzKDZZ1SfiMYSM4ATgeOBBcB84FggnONVN/BBcTcDbwNrkzVVW3K8XjMAVlQHorFECPg4cBZwUuYxwWmoj6oHnss8nk3WVL3uOE9Rs6LmSTSWKAPOAS4AqoDxbhMN2A7gSeD3wJPJmqpGx3mKihU1h6KxRCXwWeB84M+BoW4TZU0a72SN3wL3JmuqmtzGKXxW1CyLxhIjgGrgr/A2acVtopw7CCwH7gBWJWuq7D9UDlhRsyQaSxwLXA1cCox0HMeVd/BG2TuTNVXbHGcpKFbUoxSNJc4BrgE+gx2XPiKNd/nePyZrqh52HaYQWFEHIRpLDMfbvL0KmOs4jt+tAW5O1lQlXAcJMivqAERjiSF4o+dNgN3naGBexivsCtdBgsiK2k/RWOLzwM/wTkIwg/cc8MNkTdUq10GCxIrah2gssQT4BXC66ywF5mngB8maKrsmtx+sqD3IHAP9O7zDLLaTKHf+BbgxWVP1nusgfmZF7SIaSwwFbgT+FzDccZxisR3462RN1ROug/iVFbWTaCxxAvCfwDzXWYrUncB1yZqq/a6D+I0VFYjGEmG8ETSOdy9e484O4FvJmqpHXAfxk6IvaubysmXAaa6zmA+5G7jaTv73FHVRo7HEBXjnqI52ncV0ayfwhWRN1fOug7hWlEWNxhIleMdEr3OdxfSpDbg+WVP1K9dBXCq6okZjiYnAw8AprrOYAbkDuDJZU9XiOogLRVXUzBUuTwLHuM5iBmU1cH6ypmq36yD5VjQH8jNnGL2IlTTITgFejsYSRXchRFEUNRpLnAU8g//uS2QGbibwYjSWONN1kHwq+KJGY4kvAQmg3HUWkzWjgCcyF0oUhYIuajSWuAbveNwQ11lM1pUA90RjifNcB8mHgi1qNJb4O+A2Cv+eRcWsBFgejSXOdh0k1wqyqNFY4ofA913nMHlRCjwUjSUK+jLEgjs8E40lLgX+zXUOk3fNwDmFen1rQRU1Gkt8BngEm1OnWKWAP0/WVL3mOki2FUxRo7HEnwGrsGtIi91e4NPJmqr1roNkU0EUNRpLzMS7c/tE11mML+wETkjWVO10HSRbAr8zKRpLjAOewEpqPjAJuC8aSxTMR6BAFzUaSwwDHsWbQ9SYzpYCt7oOkS2BLirwS+BU1yGMb30nGktc5DpENgT2M2o0lvgc8IDrHMb3moATkzVVb7kOcjQCWdRoLDEZWA+MdZ3FBMIG4JRkTdUB10EGK3CbvtFYQvBmDLOSmv6aj3f/4MAKXFHxbp9S8Od2mqz7SjSWuNJ1iMEK1KZvNJZYBLyCd36nMQPVDMxJ1lTVuw4yUIEZUTN3sF+GldQM3gjg/7oOMRiBKSrwU2CB6xAm8C6OxhLnug4xUIHY9I3GEouB1wjWG4vxrz8BC5I1VYddB+mvoPzHv43gZDX+dywBu17Z9yNqNJb4InCv6xym4LQAC5M1VZtdB+kPX49SmXN5f+Y6hylIpUBg7r7v66IC1wAzXIcwBevszF0qfc+3m77RWGIU8A42gZPJrbfxjq12uA7SGz+PqN/DSmpybxbwZdch+uLLETUaS0zC24Ve5jqLKQqbgPnJmqq06yA98euIegNWUpM/c4Avug7RG98VNbOn9zLXOUzR8fVxVd8VFe/zwhjXIUzRWZSZTMyX/FjUb7sOYIrWDa4D9MRXO5OiscSpeLf9NMYFxTsHeKPrIF35bUS10dS4JHgn2fiOb0bUaCwxHtiOXW9q3NoLTErWVLW5DtKZn0bUy7GSGvfG4MNb/fiiqNFYIgx8y3UOYzIucR2gK18UFTgNmO46hDEZF0RjCV9t3fmlqEUxvbsJjJHAX7gO0ZlfilrlOoAxXfjq8jfne32jsUQU2OI0hDEfdRCY4Je76/thRLXNXuNHZfjo/6YfimqbvcavLnYd4AinRY3GEmXAGS4zGNOLT7oOcITrEfUsYKjjDMb0ZFI0lpjpOgS4L6pt9hq/+7jrAOC+qKc7Xr8xfSnuombu5PAxV+s3pp+Ku6h4Ez65HtGN6cvxmZ2eTrksykKH6zamvyLASa5DuCzqIofrNmYgnG/+WlGN6VtRF9U2fU1QON/p6aSo0ViiEhjnYt3GDMJU1wFcjai22WuCpDwaS1S4DOCqqPMcrdeYwXI6qroq6mRH6zVmsIqyqBMcrdeYwSrKoo53tF5jBmuay5XbiGpM/xTliDrW0XqNGayiLGq5o/UaM1hOtwKtqMb0z5D+LCQiQ0XkFRH5o4hsEJEfdbPMdBFZKSJrRWS9iPR5D+G8FzUaS5TQzz+0MT4SGcCynXv1DRE5tcv3fwDcB/wY71Ta32Rz5dkywsE6jTlaJf1crgU4Q1WbRWQksAPvBJ+XOy2jeKfQfhnYAHT09aIuimoXi5sg6ldRVVVF5JCIrANmAU14ZewsDtRmnlcAl/b1ui6K6os7jxeSobQc+kb48TWXR343/J8i5XV1+4eNnLctcuiYnVIyrknHRtJSrhLpSEuoQyWUVgmn06FIh0o4raFQOi2hdFoiaZWwpiXUoaGIpkPhdFrCpCWS1lCYtIRVJZR5HlENhTQtEVUJk5YwGgqpShiVsKQzz9MSBgmJ9zwEEkIlHFIJoSKihERDIYEQKqGQSiiEiChC5nlICQlCGESUzIsgIRUJgYTx3vjDCCG8iYg7U2/w6lHX72uX13j/+wq7B/nP08JH/89/F2hQ1UUisga4RUTuUtV0Ty/iZEqLaCzRgY2sR22JvLXpppJlu5fI5uNFeP+k8fjYMavuLx/+KUQEYMx7umvudq1bmNSm2fVaMiHFxJJ2ouLmjTpnFFS9N6N2lXCH9zzcnvm1QyXckT7y9VDYe8Pyvp5W740p3enr+qHnEmo85w+3D+jO+SIyClgDPKCq3818LYQ3yp6lqi+JyDN4I+8SVe3xzcDVP9QBbM/voJRzIHV15KE//mX4qQnDpWUOMKfrMvHGvafPamt76dYxo5YgUrp3pEx8Yb5MfGH+B8tE2rXl2B1sXpjUxnnbND19j5aXHyIqMDqPf5ysEhDRdARNR6A92y+/uV8ZRMYDbaq6H280DfPhv9NyvM3oR0WkGajE6+F0ehm1ragBcWZozfrvRe5tOk62LxHhU30t/9X3mj4+o61t/bcnjp+mIh8pX3tESt+cxtw3p314a3FcSnfM36Z1C7fogVkNWjr+PSZFOpghtgXU0s/l5gG/zGzMhDNfe1BEbgFeVdVHRGQx8Gu8HavjgO+o6qu9vajLopo+jGP/nhsj9228MPz89FJpH/A1vEsPHV70QP3OLV+YMqmpXaRfE0W/WyGVqxZK5apO998Y0qaHZjWwZWEy3Thvm6anvsuoEYeJCji9RjPPDvdzuX14e3HDeB9w/1VVHxORk48soKob8SbvJrPpu7qvF7Wi+oyQTl8YemHN9ZHlHdNkzxKRo7tJ+ay2tpkrttfvOW/q5A0HQqH5ff/ER7WWyLCNM5i3cUb4Q1+fuFfr5m/T+oVJPXzsDi0d9x6V4TTT5aM7dQrBe/1c7i2gDd7fuRUGUNWbOy8kIl/E2/urwHeAr/T2oq6K2uxovb41XXbVxSJ3v31O6NXZEUmfmM3XHteRHr9yW/3wC6dUrm4oiZySrdfdNUam7hojU59e/MHXhrZq88fqdcuipO6bu02Z0sjoshZmSvCPn/d3r28LcGbmOGoJ8LyIPK6q7x9HFZGPAd8HTlPVfSLS5+mJNqI6VEJ761fCf1jz7chDJeNJnSCSuxO/h6mWPV7XcNI3Jk1Y9eqwoTmbSuTwEBlRO1MW1naeWklVJ+9l6/ytuiMz+g4b3cyUSNr9vYgGYE9/FlLvMMqRgagk8+h6aOWbwK9UdV/mZ/p8E3BV1CZH6/WFubL1T38TWVZ3WmjD/JBo19PLciYEoTt27j79x2NHr7q3fMRSvEMFuSciDWOZ0TBWZqxY8sGXyw5r6rg63bowqfvn1KlMbmTMsFZmijeJsN/s6u+CIhIGXsM77PIrVe36GXR2ZrkX8DaN46r6RG+v6aqo7zharzPDaDn4zfBja74RebyiQg4uBI51leUHjftOn9Xa9vJPxo5ejIizaS8PDpWKtbNk0dpZH3xNVNNT97BlwVbduWCrthyzU4ePamZKWJ3fvqe+vwuqagewOHMc9UERWaCqr3daJIJ3C9Iz8C6fe1ZEFmYO6XTLVVHfdLTevDtFNm78fsndjcfLn44X8c/EuJc0NZ86va299luTxk9WEd9cH6wioe0TmLl9gsx8vNNEEiMO6r453uibmlOn4cq9jC1t4xiB0jxF2z7QH1DV/SKyEjgX6FzUOmC1qrYBW0TkLbzi/ndPr+WqqJscrTcvKmjef23kgfWXhJ+eWCatvr3j4icOH174UP2OrRdNqWxuF5nhOk9vmstk9KuzZfSrsz/4Wiit7TN28/aCpO6ev01bo7t0xKgDTAspE3MQoV9F7XzCg4gMA84Gbu2y2EN4J+TfISLj8DaFe93KdHUK4XgGf+6kT6meE3rtjzdG7j04S+qXiARnJvW9oVBj1dTJDc3hUEHMXlBxQN+du023LUxq03H1Gpm4j/FD2pkp/b8Cpqs0MHzupjf6PJYqIouAO/E+e4aA+1T1li4nPAjwf/BG2g7gJ6p6T6+v66KoANFYohEY42TlWTSRvbtvLLlv4/mhF2YOkQ5fj0q9aREOXzilcl1dSUnedm7lU7hD26K72LIwqXvmb9X2Gbu1fORBpof6N2PD5rmb3pjd92K547KoL+KDyXcGI0S64/Ph59ZcF7lfp/DuEpHCOLk9Dem/njThudU5PHzjN2OadHdm9G3u5YKFB+dueuPzzkLi9uqJTQSsqFHZsf37kbveOSu0dnZY0s7nzMy2EIR+s3P36TVjRq1aNrI8f4dvHNpbLhNemC8Tur1gYas2ztumHeUH9aW57iJ6mRyuOxB7fofQ1vK18Io1V0YeGTqW9xaLuL2/az7E9u4//di2ttW3jB2zCG+HSFHp5oKFX57rMhDuR1Tfmi9b3v5BZFnDKaE3FoREAzXyZ8MXmg6cMr2tfcM3J02YqN6eyWK2xnUAl59RJzOAg8j5MJxDzVdEHl13afj3o8vl0KBOYC80yUhk2+enVna0iczse+mCtK+2utb5Tk9nRQWIxhIb8MHMbqeFXt8Qi9y9b4FsWSwS+JPHs25fKLS3aurkuqZwqBiny3y4trr2QtchXO+tXIGjoo6iad/1kfvXfym8cvJQabPRsxej0+kxK7fXlV00pfKlrSUlxfYxYKXrAOD+qv2n8rs61XNDr6x9asgNL64tvaKsOvLk6UOlzfm070FQqgx9tG7HqacdPPSM6yx59ozrAOB+RH0G7yLbwZ4x0i+VNO78Xsk9b54XenlmiXSckMt1FTIBuX3XnjN+PmbUs3eOLD8N7yqRQtYIrHcdAhx/RgWIxhLPAkuz/bphOtovDq9ac23kQamkcYkIhf6fKq8eHDH8lZvHjVmAiB8vScuWB2qray9yHQLcj6jgfU7NWlGPkYatN0WWJc8IrZsTFj25758wg/G55gMnT2tv33jZpAnj1TsRvRA96TrAEX4p6i1H8wKltB7+evj3a66IPFY2mqbjRQjsObdBcuLhlnmP1e2o+9zUyndaRY5xnSfL0nhXufiCHzZ9w3ifBQZ8R7vj5e23bipZtvNEeXNRSBiV/XSmP1Kh0P6qqZVbU+Hw8a6zZNGztdW1vjnn2fVeX5I1VR1Ar7eh6Gw4h5pujNz73Oull218uPTm2SeH3vyUldStinR61NPb6ufMbG170XWWLFruOkBnftj0Bfh34Eu9LbA0tP71WOTu/fNk6wki2d/5ZI7OECh9uH7Hx6+aOH7Vs2XDfDMSDZICD7gO0ZnzTV94f/O3DpjU+etjSDV+J7L89YvDz04dKm3O7jFkBua20RXP/aZi5CcCfPjmpdrq2k+4DtGZ801feH/z9y7vd6rnhV5as3LId156rfTK8q9G/nC6lTRYrt2XWvqTdxvXoBrU+zff4TpAV37Z9KWMw3fUlPx6yWdCr8wqkY4lff+E8bPzmw+eNLWt/Y1LKyeOSYvk4h5GudIE3O06RFe+2PR9X7wisHd9MN2ri4TrL5gy+XBrSIKyVXR7bXXtla5DdOWLTd9O/sl1AJNdU9s7pjy9vW7c6I6Ota6z9NP/cx2gO34r6n/Rz6kDTHBUpLXiqW31849tbX3BdZY+vFJbXbvOdYju+Kuo8VQL8K+uY5jsGwJDHqrfedqZBw4+4zpLL/7RdYCe+Kuontvx7nVqCtBtu98944p9qedQzfqU4EdpGz7ciXSE/4oaT23FOwHCFKir9qeW3rqncR2qfpos7Oe11bW9vnmIyDQRWSkiG0Vkg4hc280yN4rIuszjdRHpEJGjvpWLv/b6HhGvmAJsBoruDnjFZH3pkDe/VjmxIi0yqe+lc2oncExtde2h3hYSkUqgUlXXiEg53oxtF2ZmEO9u+c8C16vqmUcb0H8jKkA8VQ/8g+sYJrcWtbQe97u6hnRpOr3ZcZS/76ukAKq6Q1XXZJ43AW8AU3r5kS+Tpc1pfxbVcyu2B7jgTWnvmPz09voJYzo6XN2ScyfefpEBEZEocALQde7TI98vw5tb5v6jyPY+/xY1nnoP+N+uY5jcG+kdvlk4u6X1eQerv6m2uvbgQH5AREbgFfA6VX2vh8U+C7ygqnuPNiD4uaie24G3XYcwuVcCJfc37PzkOQcOrsrjatcCvx3ID4hICV5Jl6lqb1fYXEIW9yL7c2dSZ/GKLwD3uY5h8uf2USOf/9WoilPwSpFLZ9RW1/b7jSEzXeKdwF5Vva6X5SqALcA0VT1w9DGDUFSAeMVLQEFOB2i692TZsDU3TBg3C5GROVrFgG9cJiKfBJ4DavFu1QLwN8B0AFW9PbPc14FzVfWSbIUNSlGP/AWZIvL6kCGb/3LyxBFp77BINh0G5tdW1/Y6y7ef+P0zqieeeh6fXXFvcm9Ba+vHntjewNB0Otsz//0wSCWFoBTVcyXernRTRCo7OipXbqufPK6947UsveRqAniMPjhFjad2A3+Fdz8bU0RGqJav2F5//NyW1qP9+NMCXFpbXRu4c8mDU1SAeGoF8HPXMUz+RSByX8POpX/RfOCZo3iZH9VW176RrUz5FKyiem4CXnEdwrhx657GM67Zu/8FVNsG+KOrgZ/lIlM+BGOvb1fximPwDlbnate98bmnyoatvX7CuGPwjln2ZS9wQm117bZc58qVII6oEE+9g7dzyRSpsw4eOuHehp17wqp9zVqvwNeCXFIIalEB4qm7sOtWi9q81rZZv9/eEBmWTm/qZbGf1lbX/i5voXIkuEX1fBvvulVTpCZ2dExcua1+6vj29le7+fYzwM15jpQTwS5qPNWMd/Jzn9cSmsI1XHXEk9sbFi9oael8+CYJfCmIh2K6E+yiAsRTa4CL8GYuN0UqApG7G3YtPb+peRWq+4Gq2ura3a5zZUsw9/p2J15xMXAP2MziRa71ieFlZ597445nXQfJpsIpKkC84lK8242K6yjGiTRwCfHUf7kOkm3B3/TtLJ66A7jedQzjzFWFWFIotKICxFO3USB7+syA/Ih46p9dh8iVwtr07Sxe8TPgRtcxTF78gnjqBtchcqlwiwoQr7gduMJ1DJMzCnyXeOoXroPkmm/mR82R/wkMB77qOojJuhagmnjqXtdB8qHwPqN2Fk+l8a5h/XvXUUxW7Qf+R7GUFAp907ezeMXlwD9T+FsRhW47cC7xVLfTSBSq4ikqQLziLGA50J9Lo4z/rAc+QzzV4DpIvhX2pm9X8dRTwCewE/mD6A/A0mIsKRRbUYHMJtNJwMOuo5h++w+8kbSn6SMKXnFt+nYWrxAgBvyYYnzDCob9wNXEU//pOohrxVvUI+IVZwN3AeNcRzEf8gRweWYKzqJnRQWIV4zDu7thtesohmbgBuKpf3EdxE+sqJ3FK87Am0HuOMdJitUq4FLiqS2ug/iNfTbrLJ56BlgE/C3emS8mPw4B1wGftpJ2z0bUnsQrZuOdIHGm6ygFbjXeqYDZnl+moFhR+xKv+CrwC2C86ygF5m28GeWXEU8VxH2NcsmK2h/xitFADXAZdgri0dqCV9D/IJ5qdx0mKKyoAxGvmIH3WepyYITjNEGzFe+Y9W+toANnRR0Mb4T9FnANMMlxGr/bDvwE+DfiKbtT5CBZUY9GvKIU71rX7wJzHKfxm3rgp8CviadaXYcJOitqNninI54HfA/4pOM0LqWBFcBvgQeJp+wQV5ZYUbMtXnEq3ih7ATDVcZp82YxXzn8nnqpznKUgWVFzKV7xZ8CFeKVd6DhNtiXxru1dTjy12nGWgmdFzRdvTtcL8Ip7GsG7o78Cb+JdHriceKq7SZlMjlhRXfAuAjgPqAJOBqa7DdStRryzho48XiGe2uc2UvGyovqBV9wlnR4LgFlASZ4StOLN4P5BMeOpP+Vp3aYfrKh+Fa8IAzPxruQ5Dq+4FXgnWgzPPLo+H8aH591JAXsyj909/LoLeNP20PqbFbWQeIeJyjKPlB2/LBxWVGMCwK5HNSYArKhZJiJDReQVEfmjiGwQkR91s8zXRWSPiKzLPC53kdUEh12ylX0twJmq2iwiJcDzIvK4qr7cZbl7VfUqB/lMAFlRs0y9D/3Nmd+WZB62I8AcFdv0zQERCYvIOrxDICtUtbtT7C4SkfUislxEpuU5ogkYK2oOqGqHqi7GOyn/ZBFZ0GWRR4Goqi7Cu9rkznxnNMFih2dyTERuBg6q6s97+H4Y2KuqNnGV6ZGNqFkmIuNFZFTm+TDgbGBTl2UqO/32fOCN/CU0QWQ7k7KvErgzM1KGgPtU9TERuQV4VVUfAa4RkfOBdmAv8HVnaU0g2KavMQFgm77GBIAV1ZgAsKIaEwBWVGMCwIpqTABYUY0JACuqMQFgRTUmAKyoxgSAFdWYALCiGhMAVlRjAsCKakwAWFGNCQArqjEBYEU1JgCsqMYEwP8HEvMKJ9uhUVwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "py_vers = {\n",
    "    '3.7': 1350374,\n",
    "    '3.5': 788191, \n",
    "    '2.7': 206259,\n",
    "    '3.6': 63978,\n",
    "    '3.4': 5203,\n",
    "    '3.8': 393,\n",
    "}\n",
    "\n",
    "py_ver_pie = plt.pie(py_vers.values(), labels=py_vers.keys())\n",
    "py_vers['3.5'] / sum(py_vers.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Downloads by month')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "downloads = {\n",
    "    'Oct': 551037,\n",
    "    'Nov': 648527,\n",
    "    'Dec': 665698,\n",
    "    'Jan': 793294,\n",
    "    'Feb': 700246,\n",
    "    'Mar': 683112,\n",
    "    'Apr': 626382,\n",
    "    'May': 535059,\n",
    "    'Jun': 520109,\n",
    "    'Jul': 814607,\n",
    "    'Aug': 804750,\n",
    "    'Sep': 795325,\n",
    "}\n",
    "\n",
    "colors = ['blue'] * 9 + ['red'] * 3\n",
    "downloads_bar = plt.bar(range(len(downloads)), downloads.values(), tick_label=list(downloads.keys()), color=colors)\n",
    "plt.title('Downloads by month')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Years')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_saved = {\n",
    "    'Oct': 6 + (2/12),\n",
    "    'Nov': 6 + (11/12),\n",
    "    'Dec': 6 + (9/12),\n",
    "    'Jan': 8 + (4/12),\n",
    "    'Feb': 8 + (8.5/12),\n",
    "    'Mar': 8 + (2/12),\n",
    "    'Apr': 8 + (10.5/12),\n",
    "    'May': 7 + (11.5/12),\n",
    "    'Jun': 7 + (9.5/12),\n",
    "    'Jul': 10 + (9/12),\n",
    "    'Aug': 7 + (1/12),\n",
    "    'Sep': 11 + (3/12),\n",
    "}\n",
    "\n",
    "colors = ['blue'] * 9 + ['red'] * 3\n",
    "time_saved_bar = plt.bar(range(len(time_saved)), time_saved.values(), tick_label=list(time_saved.keys()), color=colors)\n",
    "plt.title('Time saved by month')\n",
    "plt.ylabel('Years')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}