data/issues.ipynb

   1 {
   2  "cells": [
   3   {
   4    "cell_type": "code",
   5    "execution_count": null,
   6    "metadata": {},
   7    "outputs": [],
   8    "source": [
   9     "import platform\n",
  10     "print(platform.python_version())"
  11    ]
  12   },
  13   {
  14    "cell_type": "code",
  15    "execution_count": null,
  16    "metadata": {},
  17    "outputs": [],
  18    "source": [
  19     "# Get ye data\n",
  20     "import glob\n",
  21     "import os\n",
  22     "\n",
  23     "data_files = glob.glob(os.path.expanduser('~\\\\Data\\\\*.json'))\n"
  24    ]
  25   },
  26   {
  27    "cell_type": "code",
  28    "execution_count": null,
  29    "metadata": {},
  30    "outputs": [],
  31    "source": [
  32     "import os\n",
  33     "\n",
  34     "for file in data_files:\n",
  35     "\tprint(f\"{file}\", os.path.getsize(file))\n"
  36    ]
  37   },
  38   {
  39    "cell_type": "code",
  40    "execution_count": null,
  41    "metadata": {},
  42    "outputs": [],
  43    "source": [
  44     "import pandas as pd\n",
  45     "\n",
  46     "data_sets = []\n",
  47     "\n",
  48     "file = data_files[2]\n",
  49     "print(file)\n",
  50     "\n",
  51     "f = open(file, encoding='utf-8')\n",
  52     "df = pd.read_json(f)"
  53    ]
  54   },
  55   {
  56    "cell_type": "code",
  57    "execution_count": null,
  58    "metadata": {},
  59    "outputs": [],
  60    "source": [
  61     "import numpy as np\n",
  62     "df['count'] = np.zeros(len(df))\n",
  63     "\n"
  64    ]
  65   },
  66   {
  67    "cell_type": "code",
  68    "execution_count": null,
  69    "metadata": {},
  70    "outputs": [],
  71    "source": [
  72     "closed_months = pd.to_datetime(df['closedAt'], format='ISO8601')\n",
  73     "df['closed_month'] = closed_months.dt.month\n",
  74     "df.drop(columns=['closedAt'], inplace=True)"
  75    ]
  76   },
  77   {
  78    "cell_type": "code",
  79    "execution_count": null,
  80    "metadata": {},
  81    "outputs": [],
  82    "source": [
  83     "df['mile'] = [d.get('title') if d else None for d in df.milestone]"
  84    ]
  85   },
  86   {
  87    "cell_type": "code",
  88    "execution_count": null,
  89    "metadata": {},
  90    "outputs": [],
  91    "source": [
  92     "\n",
  93     "dfg = df.groupby(['mile', 'closed_month']).count().reset_index()\n",
  94     "dfg.drop(columns=['milestone', 'title', 'url'], inplace=True)\n"
  95    ]
  96   },
  97   {
  98    "cell_type": "code",
  99    "execution_count": null,
 100    "metadata": {},
 101    "outputs": [],
 102    "source": [
 103     "\n",
 104     "print(dfg)"
 105    ]
 106   },
 107   {
 108    "cell_type": "markdown",
 109    "metadata": {},
 110    "source": [
 111     "#### Plot of closed issues by month and milestone for one project\n"
 112    ]
 113   },
 114   {
 115    "cell_type": "code",
 116    "execution_count": 32,
 117    "metadata": {},
 118    "outputs": [],
 119    "source": [
 120     "exclude_from_chart = [\n",
 121     "\t'Job Aid Ideas']\n",
 122     "\n",
 123     "for ex in exclude_from_chart:\n",
 124     "\tdfg = dfg[dfg['mile'] != ex]\n"
 125    ]
 126   },
 127   {
 128    "cell_type": "code",
 129    "execution_count": null,
 130    "metadata": {},
 131    "outputs": [],
 132    "source": [
 133     "import seaborn as sns\n",
 134     "import matplotlib.pyplot as plt\n",
 135     "sns.set_theme()"
 136    ]
 137   },
 138   {
 139    "cell_type": "code",
 140    "execution_count": null,
 141    "metadata": {},
 142    "outputs": [],
 143    "source": [
 144     "plt.figure(figsize=(10, 6))\n",
 145     "sns.barplot(x='closed_month', y='count', hue='mile', data=dfg)\n",
 146     "plt.xlabel('Closed Month')\n",
 147     "plt.ylabel('ClosedAt')\n",
 148     "plt.title('Stacked Line Chart: Milestone Effort by Issue Close Date')\n",
 149     "plt.xticks(rotation=45)\n",
 150     "plt.legend(title='Mile', loc='upper left')\n",
 151     "plt.show()"
 152    ]
 153   }
 154  ],
 155  "metadata": {
 156   "kernelspec": {
 157    "display_name": "Python 3",
 158    "language": "python",
 159    "name": "python3"
 160   },
 161   "language_info": {
 162    "codemirror_mode": {
 163     "name": "ipython",
 164     "version": 3
 165    },
 166    "file_extension": ".py",
 167    "mimetype": "text/x-python",
 168    "name": "python",
 169    "nbconvert_exporter": "python",
 170    "pygments_lexer": "ipython3",
 171    "version": "3.12.2"
 172   }
 173  },
 174  "nbformat": 4,
 175  "nbformat_minor": 2
 176 }