examples/Velocity-Report.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "92635906-4da6-458b-bca5-361cd42961d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "\n",
    "import astetik\n",
    "import pandas as pd\n",
    "\n",
    "# Add the parent directory to the system path\n",
    "parent_path = os.path.abspath(os.path.join(os.getcwd(), '..'))\n",
    "sys.path.insert(0, parent_path)\n",
    "\n",
    "import productivity_analytics\n",
    "\n",
    "# Load the data from file\n",
    "pr_df = pd.read_csv(parent_path + '/data/pr_data.csv')\n",
    "review_df = pd.read_csv(parent_path + '/data/review_data.csv')\n",
    "\n",
    "# Add a new column `type` to both dataframes\n",
    "pr_df['type'] = 'pr'\n",
    "review_df['type'] = 'review'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "504a315f-189d-43f8-990e-abafdd0da988",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x475.2 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from productivity_analytics import pr_open_to_resolve\n",
    "\n",
    "pr_open_to_resolve(pr_df, review_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6ae0cf31-f311-4e97-a55a-fdf8862b37e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x475.2 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Percentage of All PRs</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user_login</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SanjayVas</th>\n",
       "      <td>27.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tristanvuong2021</th>\n",
       "      <td>13.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>renjiezh</th>\n",
       "      <td>9.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wangyaopw</th>\n",
       "      <td>6.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>riemanli</th>\n",
       "      <td>4.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uakyol</th>\n",
       "      <td>4.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>efoxepstein</th>\n",
       "      <td>3.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jcorilla</th>\n",
       "      <td>2.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yunyeng</th>\n",
       "      <td>2.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YuhongWang-Amazon</th>\n",
       "      <td>2.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ple13</th>\n",
       "      <td>2.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marco-Premier</th>\n",
       "      <td>2.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stevenwarejones</th>\n",
       "      <td>2.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bdomen-ggl</th>\n",
       "      <td>2.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iverson52000</th>\n",
       "      <td>1.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chipingyeh</th>\n",
       "      <td>1.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kungfucraig</th>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jojijac0b</th>\n",
       "      <td>1.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roaminggypsy</th>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>matthewclegg</th>\n",
       "      <td>0.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jonmolle</th>\n",
       "      <td>0.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>robinsons</th>\n",
       "      <td>0.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-siyengar</th>\n",
       "      <td>0.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oliver-amzn</th>\n",
       "      <td>0.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-mdharmalingam</th>\n",
       "      <td>0.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>duliomatos1</th>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-hkawalkar</th>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>enfreck</th>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RibeiroAna</th>\n",
       "      <td>0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tcsnfkx</th>\n",
       "      <td>0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jgoodknight</th>\n",
       "      <td>0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mikkokotila</th>\n",
       "      <td>0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>emadlivani</th>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sandip80</th>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>xnegron</th>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mallman</th>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zasadnyy</th>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Percentage of All PRs\n",
       "user_login                              \n",
       "SanjayVas                          27.51\n",
       "tristanvuong2021                   13.70\n",
       "renjiezh                            9.97\n",
       "wangyaopw                           6.70\n",
       "riemanli                            4.53\n",
       "uakyol                              4.41\n",
       "efoxepstein                         3.21\n",
       "jcorilla                            2.64\n",
       "yunyeng                             2.64\n",
       "YuhongWang-Amazon                   2.35\n",
       "ple13                               2.29\n",
       "Marco-Premier                       2.12\n",
       "stevenwarejones                     2.06\n",
       "bdomen-ggl                          2.01\n",
       "iverson52000                        1.83\n",
       "chipingyeh                          1.55\n",
       "kungfucraig                         1.32\n",
       "jojijac0b                           1.26\n",
       "roaminggypsy                        1.15\n",
       "matthewclegg                        0.97\n",
       "jonmolle                            0.97\n",
       "robinsons                           0.92\n",
       "wfa-siyengar                        0.69\n",
       "oliver-amzn                         0.69\n",
       "wfa-mdharmalingam                   0.57\n",
       "duliomatos1                         0.52\n",
       "wfa-hkawalkar                       0.29\n",
       "enfreck                             0.29\n",
       "RibeiroAna                          0.17\n",
       "tcsnfkx                             0.17\n",
       "jgoodknight                         0.11\n",
       "mikkokotila                         0.11\n",
       "emadlivani                          0.06\n",
       "sandip80                            0.06\n",
       "xnegron                             0.06\n",
       "mallman                             0.06\n",
       "zasadnyy                            0.06"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from productivity_analytics import pr_per_contributor\n",
    "\n",
    "pr_per_contributor(pr_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7be3c746-15f1-43ef-b749-217b3e6b1fc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x475.2 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Percentage of All Reviews</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user_login</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SanjayVas</th>\n",
       "      <td>27.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stevenwarejones</th>\n",
       "      <td>12.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tristanvuong2021</th>\n",
       "      <td>7.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wangyaopw</th>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kungfucraig</th>\n",
       "      <td>4.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>renjiezh</th>\n",
       "      <td>4.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>riemanli</th>\n",
       "      <td>4.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>efoxepstein</th>\n",
       "      <td>4.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marco-Premier</th>\n",
       "      <td>3.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uakyol</th>\n",
       "      <td>3.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oliver-amzn</th>\n",
       "      <td>2.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>duliomatos1</th>\n",
       "      <td>1.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ple13</th>\n",
       "      <td>1.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yunyeng</th>\n",
       "      <td>1.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iverson52000</th>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chipingyeh</th>\n",
       "      <td>1.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>matthewclegg</th>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YuhongWang-Amazon</th>\n",
       "      <td>0.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jojijac0b</th>\n",
       "      <td>0.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bdomen-ggl</th>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-siyengar</th>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jcorilla</th>\n",
       "      <td>0.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>robinsons</th>\n",
       "      <td>0.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jiayu-google</th>\n",
       "      <td>0.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zachcwc</th>\n",
       "      <td>0.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roaminggypsy</th>\n",
       "      <td>0.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>corbantek</th>\n",
       "      <td>0.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jonmolle</th>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chenweiw</th>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-hkawalkar</th>\n",
       "      <td>0.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-mdharmalingam</th>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mariolamassaavedra</th>\n",
       "      <td>0.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pasin30055</th>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>benjaminkreuter</th>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RibeiroAna</th>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>emadlivani</th>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jgoodknight</th>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jnf34</th>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sandip80</th>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mikkokotila</th>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>xnegron</th>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rmirisola</th>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kgaynor</th>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>enfreck</th>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cs-sswaminathan</th>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-reviewable</th>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kunyuchen</th>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TNATALI</th>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Theshadyasian</th>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AlekseiS</th>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Percentage of All Reviews\n",
       "user_login                                   \n",
       "SanjayVas                               27.77\n",
       "stevenwarejones                         12.96\n",
       "tristanvuong2021                         7.94\n",
       "wangyaopw                                6.00\n",
       "kungfucraig                              4.93\n",
       "renjiezh                                 4.60\n",
       "riemanli                                 4.53\n",
       "efoxepstein                              4.51\n",
       "Marco-Premier                            3.91\n",
       "uakyol                                   3.23\n",
       "oliver-amzn                              2.03\n",
       "duliomatos1                              1.95\n",
       "ple13                                    1.89\n",
       "yunyeng                                  1.53\n",
       "iverson52000                             1.38\n",
       "chipingyeh                               1.10\n",
       "matthewclegg                             0.99\n",
       "YuhongWang-Amazon                        0.98\n",
       "jojijac0b                                0.91\n",
       "bdomen-ggl                               0.88\n",
       "wfa-siyengar                             0.88\n",
       "jcorilla                                 0.82\n",
       "robinsons                                0.82\n",
       "jiayu-google                             0.51\n",
       "zachcwc                                  0.51\n",
       "roaminggypsy                             0.41\n",
       "corbantek                                0.39\n",
       "jonmolle                                 0.35\n",
       "chenweiw                                 0.30\n",
       "wfa-hkawalkar                            0.27\n",
       "wfa-mdharmalingam                        0.18\n",
       "mariolamassaavedra                       0.12\n",
       "pasin30055                               0.07\n",
       "benjaminkreuter                          0.06\n",
       "RibeiroAna                               0.05\n",
       "emadlivani                               0.03\n",
       "jgoodknight                              0.03\n",
       "Jnf34                                    0.03\n",
       "sandip80                                 0.03\n",
       "mikkokotila                              0.03\n",
       "xnegron                                  0.02\n",
       "rmirisola                                0.02\n",
       "kgaynor                                  0.02\n",
       "enfreck                                  0.02\n",
       "cs-sswaminathan                          0.02\n",
       "wfa-reviewable                           0.01\n",
       "kunyuchen                                0.01\n",
       "TNATALI                                  0.01\n",
       "Theshadyasian                            0.01\n",
       "AlekseiS                                 0.01"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from productivity_analytics import pr_comment_per_contributor\n",
    "\n",
    "pr_comment_per_contributor(review_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e21a223a-46e6-438d-8619-08053b744eaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x475.2 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Percentage of All Change Requests</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user_login</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SanjayVas</th>\n",
       "      <td>53.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stevenwarejones</th>\n",
       "      <td>15.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kungfucraig</th>\n",
       "      <td>5.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>efoxepstein</th>\n",
       "      <td>5.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wangyaopw</th>\n",
       "      <td>5.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tristanvuong2021</th>\n",
       "      <td>4.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>riemanli</th>\n",
       "      <td>2.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>renjiezh</th>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>robinsons</th>\n",
       "      <td>1.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uakyol</th>\n",
       "      <td>1.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>matthewclegg</th>\n",
       "      <td>1.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ple13</th>\n",
       "      <td>1.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marco-Premier</th>\n",
       "      <td>0.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>duliomatos1</th>\n",
       "      <td>0.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jiayu-google</th>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oliver-amzn</th>\n",
       "      <td>0.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iverson52000</th>\n",
       "      <td>0.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-siyengar</th>\n",
       "      <td>0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chipingyeh</th>\n",
       "      <td>0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>corbantek</th>\n",
       "      <td>0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chenweiw</th>\n",
       "      <td>0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jcorilla</th>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YuhongWang-Amazon</th>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jonmolle</th>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jojijac0b</th>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RibeiroAna</th>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pasin30055</th>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rmirisola</th>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Percentage of All Change Requests\n",
       "user_login                                          \n",
       "SanjayVas                                      53.00\n",
       "stevenwarejones                                15.25\n",
       "kungfucraig                                     5.82\n",
       "efoxepstein                                     5.40\n",
       "wangyaopw                                       5.10\n",
       "tristanvuong2021                                4.45\n",
       "riemanli                                        2.21\n",
       "renjiezh                                        1.41\n",
       "robinsons                                       1.33\n",
       "uakyol                                          1.18\n",
       "matthewclegg                                    1.06\n",
       "ple13                                           1.03\n",
       "Marco-Premier                                   0.65\n",
       "duliomatos1                                     0.46\n",
       "jiayu-google                                    0.30\n",
       "oliver-amzn                                     0.27\n",
       "iverson52000                                    0.27\n",
       "wfa-siyengar                                    0.11\n",
       "chipingyeh                                      0.11\n",
       "corbantek                                       0.11\n",
       "chenweiw                                        0.11\n",
       "jcorilla                                        0.08\n",
       "YuhongWang-Amazon                               0.08\n",
       "jonmolle                                        0.08\n",
       "jojijac0b                                       0.04\n",
       "RibeiroAna                                      0.04\n",
       "pasin30055                                      0.04\n",
       "rmirisola                                       0.04"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from productivity_analytics import pr_request_per_contributor\n",
    "\n",
    "pr_request_per_contributor(review_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "595e0154-508b-4d88-97cf-a477495c1f90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x475.2 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user_login</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>duliomatos1</th>\n",
       "      <td>10.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oliver-amzn</th>\n",
       "      <td>5.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>riemanli</th>\n",
       "      <td>4.630137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jojijac0b</th>\n",
       "      <td>4.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marco-Premier</th>\n",
       "      <td>4.371429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uakyol</th>\n",
       "      <td>3.984615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iverson52000</th>\n",
       "      <td>3.967742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ple13</th>\n",
       "      <td>3.729730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chipingyeh</th>\n",
       "      <td>3.269231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-hkawalkar</th>\n",
       "      <td>2.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yunyeng</th>\n",
       "      <td>2.711111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kungfucraig</th>\n",
       "      <td>2.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>matthewclegg</th>\n",
       "      <td>2.625000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-siyengar</th>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tristanvuong2021</th>\n",
       "      <td>2.377682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roaminggypsy</th>\n",
       "      <td>2.235294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>renjiezh</th>\n",
       "      <td>2.139394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bdomen-ggl</th>\n",
       "      <td>2.137931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wangyaopw</th>\n",
       "      <td>1.974359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YuhongWang-Amazon</th>\n",
       "      <td>1.944444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jcorilla</th>\n",
       "      <td>1.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>efoxepstein</th>\n",
       "      <td>1.672727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>robinsons</th>\n",
       "      <td>1.533333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jgoodknight</th>\n",
       "      <td>1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SanjayVas</th>\n",
       "      <td>1.224576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stevenwarejones</th>\n",
       "      <td>1.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jonmolle</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wfa-mdharmalingam</th>\n",
       "      <td>0.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RibeiroAna</th>\n",
       "      <td>0.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>enfreck</th>\n",
       "      <td>0.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tcsnfkx</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>emadlivani</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mallman</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zasadnyy</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       count\n",
       "user_login                  \n",
       "duliomatos1        10.777778\n",
       "oliver-amzn         5.750000\n",
       "riemanli            4.630137\n",
       "jojijac0b           4.428571\n",
       "Marco-Premier       4.371429\n",
       "uakyol              3.984615\n",
       "iverson52000        3.967742\n",
       "ple13               3.729730\n",
       "chipingyeh          3.269231\n",
       "wfa-hkawalkar       2.800000\n",
       "yunyeng             2.711111\n",
       "kungfucraig         2.700000\n",
       "matthewclegg        2.625000\n",
       "wfa-siyengar        2.500000\n",
       "tristanvuong2021    2.377682\n",
       "roaminggypsy        2.235294\n",
       "renjiezh            2.139394\n",
       "bdomen-ggl          2.137931\n",
       "wangyaopw           1.974359\n",
       "YuhongWang-Amazon   1.944444\n",
       "jcorilla            1.866667\n",
       "efoxepstein         1.672727\n",
       "robinsons           1.533333\n",
       "jgoodknight         1.500000\n",
       "SanjayVas           1.224576\n",
       "stevenwarejones     1.200000\n",
       "jonmolle            1.000000\n",
       "wfa-mdharmalingam   0.700000\n",
       "RibeiroAna          0.333333\n",
       "enfreck             0.200000\n",
       "tcsnfkx             0.000000\n",
       "emadlivani          0.000000\n",
       "mallman             0.000000\n",
       "zasadnyy            0.000000"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from productivity_analytics import pr_iterations_per_author\n",
    "\n",
    "pr_iterations_per_author(pr_df, review_df)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}