RQ1_license_distribution.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "from collections import Counter, defaultdict\n",
    "from typing import Any, Callable, Iterable, List, Tuple, Union\n",
    "from datetime import datetime, timezone\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_freq_table(counter: Counter, max: int = 9) -> pd.DataFrame:\n",
    "    table = []\n",
    "    other = {\"Type\": \"Other\", \"Count\": 0, \"Percentage\": 0}\n",
    "    total = sum(counter.values())\n",
    "    for key, value in sorted(counter.items(), key=lambda x: x[1], reverse=True):\n",
    "        if len(table) < max:\n",
    "            table.append(\n",
    "                {\n",
    "                    \"Type\": key,\n",
    "                    \"Count\": value,\n",
    "                    \"Percentage\": f\"{100 * value / total:.2f}%\",\n",
    "                }\n",
    "            )\n",
    "        else:\n",
    "            other[\"Count\"] += value\n",
    "    if other[\"Count\"] != 0:\n",
    "        other[\"Percentage\"] = f\"{100 * other['Count'] / total:.2f}%\"\n",
    "        table.append(other)\n",
    "    return pd.DataFrame(table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_yearly_freq(\n",
    "    ax: plt.Axes,\n",
    "    series: Iterable[Tuple[datetime, Any]],\n",
    "    percentage: bool = False,\n",
    "    max: int = 9,\n",
    "    order: Union[Callable, List[str]] = lambda x: -x[1],\n",
    "    palette: Union[str, List[str]] = \"deep\"\n",
    "):\n",
    "    yearly_counter = defaultdict(Counter)\n",
    "    all_values = Counter()\n",
    "\n",
    "    for date, value in series:\n",
    "        yearly_counter[date.year][value] += 1\n",
    "        all_values[value] += 1\n",
    "\n",
    "    if len(all_values) > max:\n",
    "        temp = Counter({k: v for k, v in all_values.most_common(max)})\n",
    "        temp[\"Other\"] = sum(all_values.values()) - sum(temp.values())\n",
    "        all_values = temp\n",
    "        for year, counter in yearly_counter.items():\n",
    "            temp = Counter({k: counter[k] for k in all_values})\n",
    "            temp[\"Other\"] = sum(counter.values()) - sum(temp.values())\n",
    "            yearly_counter[year] = temp\n",
    "\n",
    "    if percentage:\n",
    "        for year, counter in yearly_counter.items():\n",
    "            yearly_counter[year] = Counter(\n",
    "                {k: 100 * v / sum(counter.values()) for k, v in counter.items()}\n",
    "            )\n",
    "\n",
    "    years = sorted(yearly_counter.keys())\n",
    "    counts = {}\n",
    "    if isinstance(order, Callable):\n",
    "        for k, _ in sorted(all_values.items(), key=order):\n",
    "            counts[k] = [yearly_counter[year][k] for year in years]\n",
    "    else :\n",
    "        for k in order:\n",
    "            counts[k] = [yearly_counter[year][k] for year in years]\n",
    "\n",
    "    if isinstance(palette, str):\n",
    "        colors = sns.color_palette(palette, len(counts))\n",
    "    else:\n",
    "        colors = palette\n",
    "    bottom = np.zeros(len(years))\n",
    "    i = 0;\n",
    "    for label, count in counts.items():\n",
    "        ax.bar(years, count, width=0.8, label=label, bottom=bottom, color=colors[i])\n",
    "        i += 1\n",
    "        bottom += count\n",
    "\n",
    "    if percentage:\n",
    "        ax.set_ylim(0, 103)\n",
    "        ax.set_yticks([0, 20, 40, 60, 80, 100])\n",
    "        ax.set_yticklabels([\"0%\", \"20%\", \"40%\", \"60%\", \"80%\", \"100%\"])\n",
    "    ax.set_xlim(years[0] - 0.7, years[-1] + 0.7)\n",
    "    ax.tick_params(axis=\"y\", labelsize=12)\n",
    "    ax.tick_params(axis=\"x\", labelsize=12)\n",
    "    ax.set_xticks(range(years[0], years[-1] + 1, 2))\n",
    "    ax.legend(loc=\"upper left\")\n",
    "    \n",
    "    return pd.DataFrame(counts, index=years)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>package</th>\n",
       "      <th>version</th>\n",
       "      <th>date</th>\n",
       "      <th>license</th>\n",
       "      <th>license_type</th>\n",
       "      <th>which_tree</th>\n",
       "      <th>n_deps</th>\n",
       "      <th>compat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2to3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-09-07 22:44:38.117000+00:00</td>\n",
       "      <td>MIT</td>\n",
       "      <td>Permissive</td>\n",
       "      <td>tree_created</td>\n",
       "      <td>0</td>\n",
       "      <td>Compatible</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2to3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-09-07 22:44:38.117000+00:00</td>\n",
       "      <td>MIT</td>\n",
       "      <td>Permissive</td>\n",
       "      <td>tree_latest</td>\n",
       "      <td>0</td>\n",
       "      <td>Compatible</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jinja2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2008-11-23 14:13:44+00:00</td>\n",
       "      <td>BSD-3-Clause</td>\n",
       "      <td>Permissive</td>\n",
       "      <td>tree_created</td>\n",
       "      <td>0</td>\n",
       "      <td>Compatible</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jinja2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2008-11-23 14:13:44+00:00</td>\n",
       "      <td>BSD-3-Clause</td>\n",
       "      <td>Permissive</td>\n",
       "      <td>tree_latest</td>\n",
       "      <td>0</td>\n",
       "      <td>Compatible</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jinja2</td>\n",
       "      <td>2.10</td>\n",
       "      <td>2017-11-08 20:13:42.279000+00:00</td>\n",
       "      <td>BSD-3-Clause</td>\n",
       "      <td>Permissive</td>\n",
       "      <td>tree_created</td>\n",
       "      <td>1</td>\n",
       "      <td>Unknown</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  package version                             date       license license_type  \\\n",
       "0    2to3     1.0 2018-09-07 22:44:38.117000+00:00           MIT   Permissive   \n",
       "1    2to3     1.0 2018-09-07 22:44:38.117000+00:00           MIT   Permissive   \n",
       "2  Jinja2     2.1        2008-11-23 14:13:44+00:00  BSD-3-Clause   Permissive   \n",
       "3  Jinja2     2.1        2008-11-23 14:13:44+00:00  BSD-3-Clause   Permissive   \n",
       "4  Jinja2    2.10 2017-11-08 20:13:42.279000+00:00  BSD-3-Clause   Permissive   \n",
       "\n",
       "     which_tree  n_deps      compat  \n",
       "0  tree_created       0  Compatible  \n",
       "1   tree_latest       0  Compatible  \n",
       "2  tree_created       0  Compatible  \n",
       "3   tree_latest       0  Compatible  \n",
       "4  tree_created       1     Unknown  "
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top5000_data = pd.read_csv(\"data/license_data.csv\")\n",
    "top5000_data[\"date\"] = pd.to_datetime(top5000_data[\"date\"])\n",
    "top5000_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(48658, 4797)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(top5000_data), len(set(top5000_data.package))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Count</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MIT</td>\n",
       "      <td>20186</td>\n",
       "      <td>41.49%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BSD-3-Clause</td>\n",
       "      <td>10448</td>\n",
       "      <td>21.47%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Apache-2.0</td>\n",
       "      <td>10310</td>\n",
       "      <td>21.19%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Unrecognizable</td>\n",
       "      <td>2366</td>\n",
       "      <td>4.86%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GPL-3.0-only</td>\n",
       "      <td>898</td>\n",
       "      <td>1.85%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>LGPL-3.0-only</td>\n",
       "      <td>882</td>\n",
       "      <td>1.81%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>MPL-2.0</td>\n",
       "      <td>556</td>\n",
       "      <td>1.14%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>GPL-2.0-only</td>\n",
       "      <td>430</td>\n",
       "      <td>0.88%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ISC</td>\n",
       "      <td>386</td>\n",
       "      <td>0.79%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Other</td>\n",
       "      <td>2196</td>\n",
       "      <td>4.51%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Type  Count Percentage\n",
       "0             MIT  20186     41.49%\n",
       "1    BSD-3-Clause  10448     21.47%\n",
       "2      Apache-2.0  10310     21.19%\n",
       "3  Unrecognizable   2366      4.86%\n",
       "4    GPL-3.0-only    898      1.85%\n",
       "5   LGPL-3.0-only    882      1.81%\n",
       "6         MPL-2.0    556      1.14%\n",
       "7    GPL-2.0-only    430      0.88%\n",
       "8             ISC    386      0.79%\n",
       "9           Other   2196      4.51%"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_freq_table(Counter(top5000_data.license))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Count</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Permissive</td>\n",
       "      <td>41758</td>\n",
       "      <td>85.82%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Unknown</td>\n",
       "      <td>3110</td>\n",
       "      <td>6.39%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Weak Copyleft</td>\n",
       "      <td>1982</td>\n",
       "      <td>4.07%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Strong Copyleft</td>\n",
       "      <td>1808</td>\n",
       "      <td>3.72%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Type  Count Percentage\n",
       "0       Permissive  41758     85.82%\n",
       "1          Unknown   3110      6.39%\n",
       "2    Weak Copyleft   1982      4.07%\n",
       "3  Strong Copyleft   1808      3.72%"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_freq_table(Counter(top5000_data.license_type))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 546,
       "width": 697
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "with sns.axes_style(\"whitegrid\"):\n",
    "    fig, ax = plt.subplots(figsize=(8, 6))\n",
    "    counts=plot_yearly_freq(ax, zip(top5000_data.date, top5000_data.license_type), percentage=True,\n",
    "                     order=[\"Permissive\", \"Unknown\", \"Weak Copyleft\", \"Strong Copyleft\"],\n",
    "                     palette=[\"tab:blue\", \"tab:gray\", \"orange\", \"r\"])\n",
    "    # fig.autofmt_xdate()\n",
    "    ax.legend(ncol=4, loc=\"upper center\", bbox_to_anchor=(0.47, 1.1), fontsize=11)\n",
    "    fig.savefig(\"fig/license_type_yearly_freq_percentage.pdf\", bbox_inches='tight')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Permissive    Unknown  Weak Copyleft  Strong Copyleft\n",
      "2006   59.574468  27.659574       8.510638         4.255319\n",
      "2007   61.016949  25.423729       8.474576         5.084746\n",
      "2008   67.889908  12.844037       8.256881        11.009174\n",
      "2009   59.808612  29.186603       4.784689         6.220096\n",
      "2010   66.969697  22.727273       3.939394         6.363636\n",
      "2011   77.197150  13.776722       4.750594         4.275534\n",
      "2012   78.478964  11.812298       5.339806         4.368932\n",
      "2013   78.472959  10.816543       5.090138         5.620361\n",
      "2014   81.487470   8.488278       4.688763         5.335489\n",
      "2015   82.928431   8.338805       4.202232         4.530532\n",
      "2016   86.170213   6.170213       3.989362         3.670213\n",
      "2017   85.463546   6.255626       4.410441         3.870387\n",
      "2018   85.958632   6.245028       3.977725         3.818616\n",
      "2019   88.350877   4.631579       3.824561         3.192982\n",
      "2020   88.844002   4.257303       3.977626         2.921069\n",
      "2021   90.025094   3.732748       3.419072         2.823087\n",
      "2022   89.395475   3.782506       3.647416         3.174603\n"
     ]
    }
   ],
   "source": [
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .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>package</th>\n",
       "      <th>version</th>\n",
       "      <th>date</th>\n",
       "      <th>license</th>\n",
       "      <th>license_type</th>\n",
       "      <th>which_tree</th>\n",
       "      <th>n_deps</th>\n",
       "      <th>compat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0.0</td>\n",
       "      <td>2017-08-06 03:43:27.195000+00:00</td>\n",
       "      <td>MIT</td>\n",
       "      <td>Permissive</td>\n",
       "      <td>tree_created</td>\n",
       "      <td>0</td>\n",
       "      <td>Compatible</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0.0</td>\n",
       "      <td>2017-08-06 03:43:27.195000+00:00</td>\n",
       "      <td>MIT</td>\n",
       "      <td>Permissive</td>\n",
       "      <td>tree_latest</td>\n",
       "      <td>0</td>\n",
       "      <td>Compatible</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0-core-client</td>\n",
       "      <td>1.1.0a8</td>\n",
       "      <td>2017-10-11 13:19:49.816000+00:00</td>\n",
       "      <td>Apache-2.0</td>\n",
       "      <td>Permissive</td>\n",
       "      <td>tree_created</td>\n",
       "      <td>1</td>\n",
       "      <td>Compatible</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0-core-client</td>\n",
       "      <td>1.1.0a8</td>\n",
       "      <td>2017-10-11 13:19:49.816000+00:00</td>\n",
       "      <td>Apache-2.0</td>\n",
       "      <td>Permissive</td>\n",
       "      <td>tree_latest</td>\n",
       "      <td>6</td>\n",
       "      <td>Compatible</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0-orchestrator</td>\n",
       "      <td>1.1.0a8</td>\n",
       "      <td>2017-10-11 13:21:48.015000+00:00</td>\n",
       "      <td>Apache-2.0</td>\n",
       "      <td>Permissive</td>\n",
       "      <td>tree_created</td>\n",
       "      <td>7</td>\n",
       "      <td>Unknown</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          package  version                             date     license  \\\n",
       "0               0    0.0.0 2017-08-06 03:43:27.195000+00:00         MIT   \n",
       "1               0    0.0.0 2017-08-06 03:43:27.195000+00:00         MIT   \n",
       "2   0-core-client  1.1.0a8 2017-10-11 13:19:49.816000+00:00  Apache-2.0   \n",
       "3   0-core-client  1.1.0a8 2017-10-11 13:19:49.816000+00:00  Apache-2.0   \n",
       "4  0-orchestrator  1.1.0a8 2017-10-11 13:21:48.015000+00:00  Apache-2.0   \n",
       "\n",
       "  license_type    which_tree  n_deps      compat  \n",
       "0   Permissive  tree_created       0  Compatible  \n",
       "1   Permissive   tree_latest       0  Compatible  \n",
       "2   Permissive  tree_created       1  Compatible  \n",
       "3   Permissive   tree_latest       6  Compatible  \n",
       "4   Permissive  tree_created       7     Unknown  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data = pd.read_csv(\"data/license_data_pypi.csv\")\n",
    "all_data[\"date\"] = pd.to_datetime(all_data[\"date\"])\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "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>Type</th>\n",
       "      <th>Count</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Permissive</td>\n",
       "      <td>851144</td>\n",
       "      <td>62.14%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Unknown</td>\n",
       "      <td>279192</td>\n",
       "      <td>20.38%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Strong Copyleft</td>\n",
       "      <td>200908</td>\n",
       "      <td>14.67%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Weak Copyleft</td>\n",
       "      <td>38414</td>\n",
       "      <td>2.80%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Type   Count Percentage\n",
       "0       Permissive  851144     62.14%\n",
       "1          Unknown  279192     20.38%\n",
       "2  Strong Copyleft  200908     14.67%\n",
       "3    Weak Copyleft   38414      2.80%"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_freq_table(Counter(all_data.license_type))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 546,
       "width": 697
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"whitegrid\"):\n",
    "    fig, ax = plt.subplots(figsize=(8, 6))\n",
    "    counts=plot_yearly_freq(ax, zip(all_data.date, all_data.license_type), percentage=True,\n",
    "                    order=[\"Permissive\", \"Unknown\", \"Weak Copyleft\", \"Strong Copyleft\"],\n",
    "                    palette=[\"tab:blue\", \"tab:gray\", \"orange\", \"r\"])\n",
    "    # fig.autofmt_xdate()\n",
    "    ax.legend(ncol=4, loc=\"upper center\", bbox_to_anchor=(0.47, 1.1), fontsize=11)\n",
    "    fig.savefig(\"fig/license_type_yearly_freq_percentage_pypi.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Permissive    Unknown  Weak Copyleft  Strong Copyleft\n",
      "2006   40.355330  36.802030       8.883249        13.959391\n",
      "2007   28.166160  42.147923       6.079027        23.606890\n",
      "2008   29.271845  33.980583       3.834951        32.912621\n",
      "2009   35.574393  28.295820       4.384683        31.745104\n",
      "2010   43.976632  24.294923       4.633360        27.095085\n",
      "2011   50.604027  19.925429       4.787472        24.683072\n",
      "2012   55.049585  20.329893       3.713823        20.906699\n",
      "2013   58.690074  18.474004       4.017556        18.818366\n",
      "2014   61.706672  18.032954       3.961554        16.298820\n",
      "2015   65.286320  16.441915       3.587118        14.684647\n",
      "2016   64.479584  18.667424       3.025049        13.827943\n",
      "2017   62.311210  15.985405       3.318553        18.384832\n",
      "2018   63.861138  16.099867       3.053988        16.985006\n",
      "2019   68.403927  12.137674       2.995276        16.463124\n",
      "2020   66.802446  16.825179       2.539597        13.832778\n",
      "2021   57.529971  28.353834       2.352925        11.763269\n",
      "2022   61.754468  23.326211       2.286336        12.632986\n"
     ]
    }
   ],
   "source": [
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 508,
       "width": 692
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"whitegrid\"):\n",
    "    fig, ax = plt.subplots(figsize=(8, 6))\n",
    "    plot_yearly_freq(ax, zip(top5000_data.date, top5000_data.license_type), percentage=False, palette=\"muted\")\n",
    "    # fig.autofmt_xdate()\n",
    "    fig.savefig(\"fig/license_type_yearly_freq.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 592,
       "width": 719
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"whitegrid\"):\n",
    "    fig, ax = plt.subplots(figsize=(8, 6))\n",
    "    plot_yearly_freq(ax, zip(top5000_data.date, top5000_data.license), percentage=True, palette=\"muted\")\n",
    "    # fig.autofmt_xdate()\n",
    "    ax.legend(ncol=4, loc=\"upper center\", bbox_to_anchor=(0.47, 1.2), fontsize=11)\n",
    "    fig.savefig(\"fig/license_yearly_freq_percentage.pdf\", bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 508,
       "width": 692
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"whitegrid\"):\n",
    "    fig, ax = plt.subplots(figsize=(8, 6))\n",
    "    plot_yearly_freq(ax, zip(top5000_data.date, top5000_data.license), percentage=False, palette=\"muted\")\n",
    "    # fig.autofmt_xdate()\n",
    "    fig.savefig(\"fig/license_yearly_freq.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 508,
       "width": 713
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"whitegrid\"):\n",
    "    fig, ax = plt.subplots(figsize=(8, 6))\n",
    "    plot_yearly_freq(ax, zip(all_data.date, all_data.license), percentage=False, palette=\"muted\")\n",
    "    # fig.autofmt_xdate()\n",
    "    fig.savefig(\"fig/license_yearly_freq_pypi.pdf\", bbox_inches='tight')"
   ]
  }
 ],
 "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}