2020q1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (10, 6)\n",
    "\n",
    "downloads = {\n",
    "    'Apr': 626382,\n",
    "    'May': 535059,\n",
    "    'Jun': 520109,\n",
    "    'Jul': 814607,\n",
    "    'Aug': 804750,\n",
    "    'Sep': 795325,\n",
    "    'Oct': 913798,\n",
    "    'Nov': 1014577,\n",
    "    'Dec': 1017563,\n",
    "    'Jan': 1060112,\n",
    "    'Feb': 980532,\n",
    "    'Mar': 1276799,\n",
    "}\n",
    "\n",
    "colors = ['blue']*9 + ['red']*3\n",
    "plt.bar(range(len(downloads)), downloads.values(), color=colors)\n",
    "plt.title('Downloads by month')\n",
    "plt.xticks(range(len(downloads)), list(downloads.keys()))\n",
    "\n",
    "plt.savefig('downloads-by-month.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_saved = {\n",
    "    'Apr': 76760,\n",
    "    'May': 68975,\n",
    "    'Jun': 67406,\n",
    "    'Jul': 92737,\n",
    "    'Aug': 60992,\n",
    "    'Sep': 97272,\n",
    "    'Oct': 118188,\n",
    "    'Nov': 153604,\n",
    "    'Dec': 153948,\n",
    "    'Jan': 150659,\n",
    "    'Feb': 169774,\n",
    "    'Mar': 196052,\n",
    "}\n",
    "\n",
    "colors = ['blue']*9 + ['red']*3\n",
    "plt.bar(range(len(time_saved)), time_saved.values(), color=colors)\n",
    "plt.title('Time saved by month')\n",
    "plt.xticks(range(len(time_saved)), list(downloads.keys()))\n",
    "\n",
    "plt.savefig('time-saved-by-month.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "os = {\n",
    "    'Raspbian': 3138831,\n",
    "    'Debian': 119653,\n",
    "    'Ubuntu': 43074,\n",
    "    'other': 13878,\n",
    "}\n",
    "\n",
    "plt.pie(os.values(), labels=os.keys())\n",
    "plt.title('Operating system usage')\n",
    "\n",
    "plt.savefig('os-usage.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "arch = {\n",
    "    'armv7l': 2641465,\n",
    "    'armv6l': 239004,\n",
    "    'x86_64': 50456,\n",
    "}\n",
    "\n",
    "plt.pie(arch.values(), labels=arch.keys())\n",
    "plt.title('Architecture usage')\n",
    "\n",
    "plt.savefig('arch.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "py_vers = {\n",
    "    '3.7': 2184072,\n",
    "    '2.7': 648543,\n",
    "    '3.5': 417064,\n",
    "    'others': 53+440+2128+27776+37208,\n",
    "}\n",
    "\n",
    "plt.pie(py_vers.values(), labels=py_vers.keys())\n",
    "plt.title('Python version usage')\n",
    "\n",
    "plt.savefig('py-vers.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [\n",
    "    # 3.7, 3.5, 2.7, others\n",
    "    [6083, 486890, 118551, 14814],\n",
    "    [20229, 401528,  99818, 13478],\n",
    "    [75180, 343379,  86253, 15182],\n",
    "    [367114, 354708,  73733, 18934],\n",
    "    [461468, 244323,  73432, 25418],\n",
    "    [521792, 189160,  59094, 25222],\n",
    "    [584240, 205026, 101517, 23003],\n",
    "    [630775, 214699, 143212, 25820],\n",
    "    [616066, 180382, 179917, 21488],\n",
    "    [693624, 171488, 173022, 21967],\n",
    "    [711204, 127105, 122132, 19957],\n",
    "    [779244, 118471, 353389, 25681],\n",
    "]\n",
    "\n",
    "py_vers = ['Python 3.7', 'Python 3.5', 'Python 2.7', 'others']\n",
    "\n",
    "d = {\n",
    "    ver: [month[i] / sum(month) for month in data]\n",
    "    for i, ver in enumerate(py_vers)\n",
    "}\n",
    "\n",
    "months = ['Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec', 'Jan', 'Feb', 'Mar']\n",
    "plt.stackplot(months, d.values(), labels=d.keys())\n",
    "plt.legend(loc='upper left')\n",
    "\n",
    "plt.savefig('py-vers-over-time.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "downloads = [\n",
    "    ['1 Jan', 31081],\n",
    "    ['', 31427],\n",
    "    ['', 37298],\n",
    "    ['', 35886],\n",
    "    ['', 37274],\n",
    "    ['', 34101],\n",
    "    ['', 34463],\n",
    "    ['', 37916],\n",
    "    ['', 37664],\n",
    "    ['', 32880],\n",
    "    ['', 23383],\n",
    "    ['', 36852],\n",
    "    ['', 35090],\n",
    "    ['', 37800],\n",
    "    ['', 35652],\n",
    "    ['', 37794],\n",
    "    ['', 38139],\n",
    "    ['', 35074],\n",
    "    ['', 36674],\n",
    "    ['', 36385],\n",
    "    ['', 35466],\n",
    "    ['', 32415],\n",
    "    ['', 33393],\n",
    "    ['', 31131],\n",
    "    ['', 29725],\n",
    "    ['', 31176],\n",
    "    ['', 30859],\n",
    "    ['', 33707],\n",
    "    ['', 31684],\n",
    "    ['', 34100],\n",
    "    ['', 33623],\n",
    "    ['1 Feb', 34042],\n",
    "    ['', 33017],\n",
    "    ['', 32534],\n",
    "    ['', 33123],\n",
    "    ['', 33789],\n",
    "    ['', 34760],\n",
    "    ['', 32460],\n",
    "    ['', 29539],\n",
    "    ['', 32684],\n",
    "    ['', 33490],\n",
    "    ['', 34334],\n",
    "    ['', 32636],\n",
    "    ['', 33821],\n",
    "    ['', 31969],\n",
    "    ['', 31155],\n",
    "    ['', 31367],\n",
    "    ['', 36037],\n",
    "    ['', 37278],\n",
    "    ['', 36147],\n",
    "    ['', 29724],\n",
    "    ['', 33613],\n",
    "    ['', 32854],\n",
    "    ['', 34635],\n",
    "    ['', 36347],\n",
    "    ['', 35508],\n",
    "    ['', 37728],\n",
    "    ['', 37342],\n",
    "    ['', 35046],\n",
    "    ['', 33553],\n",
    "    ['1 Mar', 37797],\n",
    "    ['', 33968],\n",
    "    ['', 37895],\n",
    "    ['', 56225],\n",
    "    ['', 60324],\n",
    "    ['', 52879],\n",
    "    ['', 49400],\n",
    "    ['', 46151],\n",
    "    ['', 43381],\n",
    "    ['', 42099],\n",
    "    ['', 40480],\n",
    "    ['', 39363],\n",
    "    ['', 39565],\n",
    "    ['', 39948],\n",
    "    ['', 28047],\n",
    "    ['', 37672],\n",
    "    ['', 39007],\n",
    "    ['', 39530],\n",
    "    ['', 40177],\n",
    "    ['', 38818],\n",
    "    ['', 41392],\n",
    "    ['', 42728],\n",
    "    ['', 39855],\n",
    "    ['', 39378],\n",
    "    ['', 38309],\n",
    "    ['', 39251],\n",
    "    ['', 38958],\n",
    "    ['', 38823],\n",
    "    ['', 44016],\n",
    "    ['', 39888],\n",
    "]\n",
    "\n",
    "plt.bar(range(len(downloads)), [d[1] for d in downloads])\n",
    "plt.title('Downloads by day')\n",
    "plt.xticks(range(len(downloads)), [d[0] for d in downloads])\n",
    "\n",
    "plt.savefig('downloads-by-day.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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