Pandas documentation validation errors

pandas_validation_errors.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The concept from Marc Garcia (@datapythonista) is to eliminate a specific validation error from the current code entirely, so this can be added to the CI and we can overcome future issues of the same type"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An overview of the errors can be found in the `validate_docstring.py` scripts in the scripts folder:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[GL01] Docstring text (summary) should start in the line immediately after the opening quotes (not in the same line, or leaving a blank line in between)\r\n",
      "[GL02] Closing quotes should be placed in the line after the last text in the docstring (do not close the quotes in the same line as the text, or leave a blank line between the last text and the quotes)\r\n",
      "[GL03] Double line break found; please use only one blank line to separate sections or paragraphs, and do not leave blank lines at the end of docstrings\r\n",
      "[GL04] Private classes ({mentioned_private_classes}) should not be mentioned in public docstrings\r\n",
      "[GL05] Tabs found at the start of line \"{line_with_tabs}\", please use whitespace only\r\n",
      "[GL06] Found unknown section \"{section}\". Allowed sections are: {allowed_sections}\r\n",
      "[GL07] Sections are in the wrong order. Correct order is: {correct_sections}\r\n",
      "[GL08] The object does not have a docstring\r\n",
      "[GL09] Deprecation warning should precede extended summary\r\n",
      "[SS01] No summary found (a short summary in a single line should be present at the beginning of the docstring)\r\n",
      "[SS02] Summary does not start with a capital letter\r\n",
      "[SS03] Summary does not end with a period\r\n",
      "[SS04] Summary contains heading whitespaces\r\n",
      "[SS05] Summary must start with infinitive verb, not third person (e.g. use \"Generate\" instead of \"Generates\")\r\n",
      "[SS06] Summary should fit in a single line\r\n",
      "[ES01] No extended summary found\r\n",
      "[PR01] Parameters {missing_params} not documented\r\n",
      "[PR02] Unknown parameters {unknown_params}\r\n",
      "[PR03] Wrong parameters order. Actual: {actual_params}. Documented: {documented_params}\r\n",
      "[PR04] Parameter \"{param_name}\" has no type\r\n",
      "[PR05] Parameter \"{param_name}\" type should not finish with \".\"\r\n",
      "[PR06] Parameter \"{param_name}\" type should use \"{right_type}\" instead of \"{wrong_type}\"\r\n",
      "[PR07] Parameter \"{param_name}\" has no description\r\n",
      "[PR08] Parameter \"{param_name}\" description should start with a capital letter\r\n",
      "[PR09] Parameter \"{param_name}\" description should finish with \".\"\r\n",
      "[PR10] Parameter \"{param_name}\" requires a space before the colon separating the parameter name and type\r\n",
      "[RT01] No Returns section found\r\n",
      "[RT02] The first line of the Returns section should contain only the type, unless multiple values are being returned\r\n",
      "[RT03] Return value has no description\r\n",
      "[RT04] Return value description should start with a capital letter\r\n",
      "[RT05] Return value description should finish with \".\"\r\n",
      "[YD01] No Yields section found\r\n",
      "[SA01] See Also section not found\r\n",
      "[SA02] Missing period at end of description for See Also \"{reference_name}\" reference\r\n",
      "[SA03] Description should be capitalized for See Also \"{reference_name}\" reference\r\n",
      "[SA04] Missing description for See Also \"{reference_name}\" reference\r\n",
      "[SA05] {reference_name} in `See Also` section does not need `pandas` prefix, use {right_reference} instead.\r\n",
      "[EX01] No examples section found\r\n",
      "[EX02] Examples do not pass tests:\r\n",
      "{doctest_log}\r\n",
      "[EX03] flake8 error: {error_code} {error_message}{times_happening}\r\n",
      "[EX04] Do not import {imported_library}, as it is imported automatically for the examples (numpy as np, pandas as pd)\r\n"
     ]
    }
   ],
   "source": [
    "!./scripts/validate_docstrings.py --list-errors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to get an overview of the current validation errors, run the validate script in your terminal:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./scripts/validate_docstrings.py:524: DtypeWarning: Columns (0) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  runner.run(test, out=f.write)\n",
      "./scripts/validate_docstrings.py:1: FutureWarning: Series.nonzero() is deprecated and will be removed in a future version.Use Series.to_numpy().nonzero() instead\n",
      "  #!/usr/bin/env python\n"
     ]
    }
   ],
   "source": [
    "!./scripts/validate_docstrings.py --format=json > validation_errors.json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is a great tool to read in the resulting json file ;-). It is called Pandas!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "errors = pd.read_json('validation_errors.json', orient='index')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Wrangling the columns containing the errors:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "errors[\"errors_delimited\"] = (errors\n",
    "    .loc[:, 'errors']\n",
    "    .map(lambda err_list: '|'.join([err[0] for err in err_list])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An overview count of the error type counts:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(errors\n",
    "    .loc[:, 'errors']\n",
    "    .map(lambda err_list: '|'.join([err[0] for err in err_list]))\n",
    "    .str.get_dummies('|')\n",
    "    .sum(axis='index')\n",
    "    .sort_values()\n",
    "    .plot.barh(figsize = (10, 10)));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hence, the strategy is to work __bottom to top__ eliminating those with a few errors. For example, the `PR10` type of errors first, would involve tackling the following issues:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Note__: you can ignore the `YD01` errors probaby, as this can be derivded from a shortcoming  in the validation script as well..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('max_colwidth', 1000)\n",
    "cols = ['file', 'file_line', 'github_link']\n",
    "\n",
    "def errors_of_type(err):\n",
    "    return (errors[errors[\"errors_delimited\"].str.contains(err)][cols]\n",
    "            .reset_index()\n",
    "            .rename(columns={'index': 'method'}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>method</th>\n",
       "      <th>file</th>\n",
       "      <th>file_line</th>\n",
       "      <th>github_link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pandas.core.groupby.DataFrameGroupBy.boxplot</td>\n",
       "      <td>pandas/plotting/_core.py</td>\n",
       "      <td>2542.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/_core.py#L2542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pandas.set_option</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pandas.ExcelWriter</td>\n",
       "      <td>pandas/io/excel.py</td>\n",
       "      <td>984.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/excel.py#L984</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         method                      file  \\\n",
       "0  pandas.core.groupby.DataFrameGroupBy.boxplot  pandas/plotting/_core.py   \n",
       "1                             pandas.set_option                      None   \n",
       "2                            pandas.ExcelWriter        pandas/io/excel.py   \n",
       "\n",
       "   file_line  \\\n",
       "0     2542.0   \n",
       "1        NaN   \n",
       "2      984.0   \n",
       "\n",
       "                                                                       github_link  \n",
       "0  https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/_core.py#L2542  \n",
       "1                      https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "2         https://github.com/pandas-dev/pandas/blob/master/pandas/io/excel.py#L984  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "errors_of_type('PR10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>method</th>\n",
       "      <th>file</th>\n",
       "      <th>file_line</th>\n",
       "      <th>github_link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pandas.core.resample.Resampler.std</td>\n",
       "      <td>pandas/core/resample.py</td>\n",
       "      <td>796.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pandas.Grouper</td>\n",
       "      <td>pandas/core/groupby/grouper.py</td>\n",
       "      <td>30.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/grouper.py#L30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pandas.core.groupby.GroupBy.rank</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>1811.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pandas.core.groupby.DataFrameGroupBy.rank</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>1811.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pandas.Panel.apply</td>\n",
       "      <td>pandas/core/panel.py</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>pandas.Panel.transpose</td>\n",
       "      <td>pandas/core/panel.py</td>\n",
       "      <td>1270.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L1270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>pandas.Timedelta</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>pandas.Timedelta.max</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>pandas.Timedelta.min</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pandas.factorize</td>\n",
       "      <td>pandas/util/_decorators.py</td>\n",
       "      <td>559.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/util/_decorators.py#L559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>pandas.read_parquet</td>\n",
       "      <td>pandas/io/parquet.py</td>\n",
       "      <td>255.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/parquet.py#L255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>pandas.io.formats.style.Styler.render</td>\n",
       "      <td>pandas/io/formats/style.py</td>\n",
       "      <td>421.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/style.py#L421</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       method                            file  \\\n",
       "0          pandas.core.resample.Resampler.std         pandas/core/resample.py   \n",
       "1                              pandas.Grouper  pandas/core/groupby/grouper.py   \n",
       "2            pandas.core.groupby.GroupBy.rank  pandas/core/groupby/groupby.py   \n",
       "3   pandas.core.groupby.DataFrameGroupBy.rank  pandas/core/groupby/groupby.py   \n",
       "4                          pandas.Panel.apply            pandas/core/panel.py   \n",
       "5                      pandas.Panel.transpose            pandas/core/panel.py   \n",
       "6                            pandas.Timedelta                            None   \n",
       "7                        pandas.Timedelta.max                            None   \n",
       "8                        pandas.Timedelta.min                            None   \n",
       "9                            pandas.factorize      pandas/util/_decorators.py   \n",
       "10                        pandas.read_parquet            pandas/io/parquet.py   \n",
       "11      pandas.io.formats.style.Styler.render      pandas/io/formats/style.py   \n",
       "\n",
       "    file_line  \\\n",
       "0       796.0   \n",
       "1        30.0   \n",
       "2      1811.0   \n",
       "3      1811.0   \n",
       "4      1000.0   \n",
       "5      1270.0   \n",
       "6         NaN   \n",
       "7         NaN   \n",
       "8         NaN   \n",
       "9       559.0   \n",
       "10      255.0   \n",
       "11      421.0   \n",
       "\n",
       "                                                                              github_link  \n",
       "0           https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L796  \n",
       "1     https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/grouper.py#L30  \n",
       "2   https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1811  \n",
       "3   https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1811  \n",
       "4             https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L1000  \n",
       "5             https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L1270  \n",
       "6                             https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "7                             https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "8                             https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "9        https://github.com/pandas-dev/pandas/blob/master/pandas/util/_decorators.py#L559  \n",
       "10             https://github.com/pandas-dev/pandas/blob/master/pandas/io/parquet.py#L255  \n",
       "11       https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/style.py#L421  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "errors_of_type('PR04')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>method</th>\n",
       "      <th>file</th>\n",
       "      <th>file_line</th>\n",
       "      <th>github_link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pandas.core.resample.Resampler.get_group</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>626.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pandas.core.groupby.GroupBy.get_group</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>626.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pandas.core.groupby.DataFrameGroupBy.tshift</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pandas.Series.pipe</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>4924.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L4924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pandas.Series.where</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>8820.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>pandas.Series.mask</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>8841.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>pandas.Series.first_valid_index</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10235.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>pandas.Series.last_valid_index</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10240.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>pandas.Series.tshift</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>8991.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pandas.Series.to_dense</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>1920.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L1920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>pandas.Index.searchsorted</td>\n",
       "      <td>pandas/core/base.py</td>\n",
       "      <td>1497.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/base.py#L1497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>pandas.DataFrame.where</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>8820.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>pandas.DataFrame.mask</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>8841.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>pandas.DataFrame.pipe</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>4924.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L4924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>pandas.DataFrame.tshift</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>8991.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>pandas.DataFrame.first_valid_index</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10235.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>pandas.DataFrame.last_valid_index</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10240.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>pandas.DataFrame.to_dense</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>1920.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L1920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>pandas.Panel.axes</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>441.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>pandas.Panel.isna</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>7084.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>pandas.Panel.notna</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>7152.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>pandas.Panel.rename</td>\n",
       "      <td>pandas/core/panel.py</td>\n",
       "      <td>1252.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L1252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>pandas.Panel.first_valid_index</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10235.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>pandas.Panel.isnull</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>7088.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>pandas.Panel.last_valid_index</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10240.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>pandas.Panel.mask</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>8841.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>pandas.Panel.notnull</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>7156.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>pandas.Panel.pipe</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>4924.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L4924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>pandas.Panel.replace</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>6444.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>pandas.Panel.to_dense</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>1920.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L1920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>pandas.Panel.transform</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10175.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>pandas.Panel.where</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>8820.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8820</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         method  \\\n",
       "0      pandas.core.resample.Resampler.get_group   \n",
       "1         pandas.core.groupby.GroupBy.get_group   \n",
       "2   pandas.core.groupby.DataFrameGroupBy.tshift   \n",
       "3                            pandas.Series.pipe   \n",
       "4                           pandas.Series.where   \n",
       "5                            pandas.Series.mask   \n",
       "6               pandas.Series.first_valid_index   \n",
       "7                pandas.Series.last_valid_index   \n",
       "8                          pandas.Series.tshift   \n",
       "9                        pandas.Series.to_dense   \n",
       "10                    pandas.Index.searchsorted   \n",
       "11                       pandas.DataFrame.where   \n",
       "12                        pandas.DataFrame.mask   \n",
       "13                        pandas.DataFrame.pipe   \n",
       "14                      pandas.DataFrame.tshift   \n",
       "15           pandas.DataFrame.first_valid_index   \n",
       "16            pandas.DataFrame.last_valid_index   \n",
       "17                    pandas.DataFrame.to_dense   \n",
       "18                            pandas.Panel.axes   \n",
       "19                            pandas.Panel.isna   \n",
       "20                           pandas.Panel.notna   \n",
       "21                          pandas.Panel.rename   \n",
       "22               pandas.Panel.first_valid_index   \n",
       "23                          pandas.Panel.isnull   \n",
       "24                pandas.Panel.last_valid_index   \n",
       "25                            pandas.Panel.mask   \n",
       "26                         pandas.Panel.notnull   \n",
       "27                            pandas.Panel.pipe   \n",
       "28                         pandas.Panel.replace   \n",
       "29                        pandas.Panel.to_dense   \n",
       "30                       pandas.Panel.transform   \n",
       "31                           pandas.Panel.where   \n",
       "\n",
       "                              file  file_line  \\\n",
       "0   pandas/core/groupby/groupby.py      626.0   \n",
       "1   pandas/core/groupby/groupby.py      626.0   \n",
       "2                             None        NaN   \n",
       "3           pandas/core/generic.py     4924.0   \n",
       "4           pandas/core/generic.py     8820.0   \n",
       "5           pandas/core/generic.py     8841.0   \n",
       "6           pandas/core/generic.py    10235.0   \n",
       "7           pandas/core/generic.py    10240.0   \n",
       "8           pandas/core/generic.py     8991.0   \n",
       "9           pandas/core/generic.py     1920.0   \n",
       "10             pandas/core/base.py     1497.0   \n",
       "11          pandas/core/generic.py     8820.0   \n",
       "12          pandas/core/generic.py     8841.0   \n",
       "13          pandas/core/generic.py     4924.0   \n",
       "14          pandas/core/generic.py     8991.0   \n",
       "15          pandas/core/generic.py    10235.0   \n",
       "16          pandas/core/generic.py    10240.0   \n",
       "17          pandas/core/generic.py     1920.0   \n",
       "18          pandas/core/generic.py      441.0   \n",
       "19          pandas/core/generic.py     7084.0   \n",
       "20          pandas/core/generic.py     7152.0   \n",
       "21            pandas/core/panel.py     1252.0   \n",
       "22          pandas/core/generic.py    10235.0   \n",
       "23          pandas/core/generic.py     7088.0   \n",
       "24          pandas/core/generic.py    10240.0   \n",
       "25          pandas/core/generic.py     8841.0   \n",
       "26          pandas/core/generic.py     7156.0   \n",
       "27          pandas/core/generic.py     4924.0   \n",
       "28          pandas/core/generic.py     6444.0   \n",
       "29          pandas/core/generic.py     1920.0   \n",
       "30          pandas/core/generic.py    10175.0   \n",
       "31          pandas/core/generic.py     8820.0   \n",
       "\n",
       "                                                                             github_link  \n",
       "0   https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L626  \n",
       "1   https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L626  \n",
       "2                            https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "3          https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L4924  \n",
       "4          https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8820  \n",
       "5          https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8841  \n",
       "6         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10235  \n",
       "7         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10240  \n",
       "8          https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8991  \n",
       "9          https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L1920  \n",
       "10            https://github.com/pandas-dev/pandas/blob/master/pandas/core/base.py#L1497  \n",
       "11         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8820  \n",
       "12         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8841  \n",
       "13         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L4924  \n",
       "14         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8991  \n",
       "15        https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10235  \n",
       "16        https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10240  \n",
       "17         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L1920  \n",
       "18          https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L441  \n",
       "19         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7084  \n",
       "20         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7152  \n",
       "21           https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L1252  \n",
       "22        https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10235  \n",
       "23         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7088  \n",
       "24        https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10240  \n",
       "25         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8841  \n",
       "26         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7156  \n",
       "27         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L4924  \n",
       "28         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6444  \n",
       "29         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L1920  \n",
       "30        https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10175  \n",
       "31         https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L8820  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "errors_of_type('GL04')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>method</th>\n",
       "      <th>file</th>\n",
       "      <th>file_line</th>\n",
       "      <th>github_link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pandas.core.resample.Resampler.apply</td>\n",
       "      <td>pandas/core/resample.py</td>\n",
       "      <td>257.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pandas.core.resample.Resampler.aggregate</td>\n",
       "      <td>pandas/core/resample.py</td>\n",
       "      <td>257.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pandas.Series.agg</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>3427.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L3427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pandas.Series.aggregate</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>3427.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L3427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pandas.Series.quantile</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>pandas.Series.asof</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>6855.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>pandas.Series.dt.to_pydatetime</td>\n",
       "      <td>pandas/core/indexes/accessors.py</td>\n",
       "      <td>129.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/accessors.py#L129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>pandas.Series.dt.to_pytimedelta</td>\n",
       "      <td>pandas/core/indexes/accessors.py</td>\n",
       "      <td>199.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/accessors.py#L199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>pandas.Index.shift</td>\n",
       "      <td>pandas/core/indexes/base.py</td>\n",
       "      <td>4242.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L4242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pandas.MultiIndex.get_level_values</td>\n",
       "      <td>pandas/core/indexes/multi.py</td>\n",
       "      <td>1380.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/multi.py#L1380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>pandas.DataFrame.agg</td>\n",
       "      <td>pandas/core/frame.py</td>\n",
       "      <td>6295.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L6295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>pandas.DataFrame.aggregate</td>\n",
       "      <td>pandas/core/frame.py</td>\n",
       "      <td>6295.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L6295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>pandas.DataFrame.quantile</td>\n",
       "      <td>pandas/core/frame.py</td>\n",
       "      <td>7717.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L7717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>pandas.DataFrame.asof</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>6855.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>pandas.Panel.major_xs</td>\n",
       "      <td>pandas/core/panel.py</td>\n",
       "      <td>793.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>pandas.Panel.minor_xs</td>\n",
       "      <td>pandas/core/panel.py</td>\n",
       "      <td>817.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>pandas.api.types.is_categorical_dtype</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>572.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>pandas.api.types.is_datetime64_dtype</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>403.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>pandas.api.types.is_datetime64tz_dtype</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>434.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>pandas.api.types.is_extension_type</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>1643.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L1643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>pandas.api.types.is_integer_dtype</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>868.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>pandas.api.types.is_interval_dtype</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>536.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>pandas.api.types.is_signed_integer_dtype</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>923.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>pandas.api.types.is_timedelta64_dtype</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>472.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>pandas.api.types.is_timedelta64_ns_dtype</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>1167.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L1167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>pandas.api.types.is_unsigned_integer_dtype</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>980.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>pandas.api.types.is_datetimetz</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>294.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>pandas.unique</td>\n",
       "      <td>pandas/core/algorithms.py</td>\n",
       "      <td>278.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/algorithms.py#L278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>pandas.core.window.Rolling.aggregate</td>\n",
       "      <td>pandas/core/window.py</td>\n",
       "      <td>1678.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L1678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>pandas.core.window.Expanding.aggregate</td>\n",
       "      <td>pandas/core/window.py</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L1956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>pandas.io.formats.style.Styler.from_custom_template</td>\n",
       "      <td>pandas/io/formats/style.py</td>\n",
       "      <td>1210.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/style.py#L1210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>pandas.io.formats.style.Styler.render</td>\n",
       "      <td>pandas/io/formats/style.py</td>\n",
       "      <td>421.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/style.py#L421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>pandas.Panel.asof</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>6855.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 method  \\\n",
       "0                  pandas.core.resample.Resampler.apply   \n",
       "1              pandas.core.resample.Resampler.aggregate   \n",
       "2                                     pandas.Series.agg   \n",
       "3                               pandas.Series.aggregate   \n",
       "4                                pandas.Series.quantile   \n",
       "5                                    pandas.Series.asof   \n",
       "6                        pandas.Series.dt.to_pydatetime   \n",
       "7                       pandas.Series.dt.to_pytimedelta   \n",
       "8                                    pandas.Index.shift   \n",
       "9                    pandas.MultiIndex.get_level_values   \n",
       "10                                 pandas.DataFrame.agg   \n",
       "11                           pandas.DataFrame.aggregate   \n",
       "12                            pandas.DataFrame.quantile   \n",
       "13                                pandas.DataFrame.asof   \n",
       "14                                pandas.Panel.major_xs   \n",
       "15                                pandas.Panel.minor_xs   \n",
       "16                pandas.api.types.is_categorical_dtype   \n",
       "17                 pandas.api.types.is_datetime64_dtype   \n",
       "18               pandas.api.types.is_datetime64tz_dtype   \n",
       "19                   pandas.api.types.is_extension_type   \n",
       "20                    pandas.api.types.is_integer_dtype   \n",
       "21                   pandas.api.types.is_interval_dtype   \n",
       "22             pandas.api.types.is_signed_integer_dtype   \n",
       "23                pandas.api.types.is_timedelta64_dtype   \n",
       "24             pandas.api.types.is_timedelta64_ns_dtype   \n",
       "25           pandas.api.types.is_unsigned_integer_dtype   \n",
       "26                       pandas.api.types.is_datetimetz   \n",
       "27                                        pandas.unique   \n",
       "28                 pandas.core.window.Rolling.aggregate   \n",
       "29               pandas.core.window.Expanding.aggregate   \n",
       "30  pandas.io.formats.style.Styler.from_custom_template   \n",
       "31                pandas.io.formats.style.Styler.render   \n",
       "32                                    pandas.Panel.asof   \n",
       "\n",
       "                                file  file_line  \\\n",
       "0            pandas/core/resample.py      257.0   \n",
       "1            pandas/core/resample.py      257.0   \n",
       "2              pandas/core/series.py     3427.0   \n",
       "3              pandas/core/series.py     3427.0   \n",
       "4              pandas/core/series.py     2004.0   \n",
       "5             pandas/core/generic.py     6855.0   \n",
       "6   pandas/core/indexes/accessors.py      129.0   \n",
       "7   pandas/core/indexes/accessors.py      199.0   \n",
       "8        pandas/core/indexes/base.py     4242.0   \n",
       "9       pandas/core/indexes/multi.py     1380.0   \n",
       "10              pandas/core/frame.py     6295.0   \n",
       "11              pandas/core/frame.py     6295.0   \n",
       "12              pandas/core/frame.py     7717.0   \n",
       "13            pandas/core/generic.py     6855.0   \n",
       "14              pandas/core/panel.py      793.0   \n",
       "15              pandas/core/panel.py      817.0   \n",
       "16      pandas/core/dtypes/common.py      572.0   \n",
       "17      pandas/core/dtypes/common.py      403.0   \n",
       "18      pandas/core/dtypes/common.py      434.0   \n",
       "19      pandas/core/dtypes/common.py     1643.0   \n",
       "20      pandas/core/dtypes/common.py      868.0   \n",
       "21      pandas/core/dtypes/common.py      536.0   \n",
       "22      pandas/core/dtypes/common.py      923.0   \n",
       "23      pandas/core/dtypes/common.py      472.0   \n",
       "24      pandas/core/dtypes/common.py     1167.0   \n",
       "25      pandas/core/dtypes/common.py      980.0   \n",
       "26      pandas/core/dtypes/common.py      294.0   \n",
       "27         pandas/core/algorithms.py      278.0   \n",
       "28             pandas/core/window.py     1678.0   \n",
       "29             pandas/core/window.py     1956.0   \n",
       "30        pandas/io/formats/style.py     1210.0   \n",
       "31        pandas/io/formats/style.py      421.0   \n",
       "32            pandas/core/generic.py     6855.0   \n",
       "\n",
       "                                                                               github_link  \n",
       "0            https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L257  \n",
       "1            https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L257  \n",
       "2             https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L3427  \n",
       "3             https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L3427  \n",
       "4             https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L2004  \n",
       "5            https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855  \n",
       "6   https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/accessors.py#L129  \n",
       "7   https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/accessors.py#L199  \n",
       "8       https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L4242  \n",
       "9      https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/multi.py#L1380  \n",
       "10             https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L6295  \n",
       "11             https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L6295  \n",
       "12             https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L7717  \n",
       "13           https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855  \n",
       "14              https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L793  \n",
       "15              https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L817  \n",
       "16      https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L572  \n",
       "17      https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L403  \n",
       "18      https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L434  \n",
       "19     https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L1643  \n",
       "20      https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L868  \n",
       "21      https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L536  \n",
       "22      https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L923  \n",
       "23      https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L472  \n",
       "24     https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L1167  \n",
       "25      https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L980  \n",
       "26      https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L294  \n",
       "27         https://github.com/pandas-dev/pandas/blob/master/pandas/core/algorithms.py#L278  \n",
       "28            https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L1678  \n",
       "29            https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L1956  \n",
       "30       https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/style.py#L1210  \n",
       "31        https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/style.py#L421  \n",
       "32           https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "errors_of_type('RT04')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "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>method</th>\n",
       "      <th>file</th>\n",
       "      <th>file_line</th>\n",
       "      <th>github_link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pandas.core.resample.Resampler.apply</td>\n",
       "      <td>pandas/core/resample.py</td>\n",
       "      <td>257.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pandas.core.resample.Resampler.aggregate</td>\n",
       "      <td>pandas/core/resample.py</td>\n",
       "      <td>257.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pandas.core.resample.Resampler.interpolate</td>\n",
       "      <td>pandas/core/resample.py</td>\n",
       "      <td>761.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pandas.plotting.bootstrap_plot</td>\n",
       "      <td>pandas/plotting/_misc.py</td>\n",
       "      <td>363.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/_misc.py#L363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pandas.Series.agg</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>3427.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L3427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>pandas.Series.aggregate</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>3427.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L3427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>pandas.Series.clip</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>7208.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>pandas.Series.unique</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>1612.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L1612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>pandas.Series.align</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>3652.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L3652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pandas.Series.interpolate</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>6784.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>pandas.Series.asof</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>6855.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>pandas.Series.dt.strftime</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>pandas.tseries.frequencies.to_offset</td>\n",
       "      <td>pandas/tseries/frequencies.py</td>\n",
       "      <td>59.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/tseries/frequencies.py#L59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>pandas.Index.reindex</td>\n",
       "      <td>pandas/core/indexes/base.py</td>\n",
       "      <td>3088.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L3088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>pandas.Index.isna</td>\n",
       "      <td>pandas/core/indexes/base.py</td>\n",
       "      <td>1815.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L1815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>pandas.Index.shift</td>\n",
       "      <td>pandas/core/indexes/base.py</td>\n",
       "      <td>4242.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L4242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>pandas.Index.get_indexer_non_unique</td>\n",
       "      <td>pandas/core/indexes/base.py</td>\n",
       "      <td>4428.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L4428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>pandas.MultiIndex.sortlevel</td>\n",
       "      <td>pandas/core/indexes/multi.py</td>\n",
       "      <td>2038.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/multi.py#L2038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>pandas.MultiIndex.swaplevel</td>\n",
       "      <td>pandas/core/indexes/multi.py</td>\n",
       "      <td>1941.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/multi.py#L1941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>pandas.DatetimeIndex.strftime</td>\n",
       "      <td>pandas/core/indexes/datetimelike.py</td>\n",
       "      <td>47.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/datetimelike.py#L47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>pandas.PeriodIndex.strftime</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>pandas.DataFrame.get_ftype_counts</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>5419.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L5419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>pandas.DataFrame.get_values</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>5342.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L5342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>pandas.DataFrame.agg</td>\n",
       "      <td>pandas/core/frame.py</td>\n",
       "      <td>6295.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L6295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>pandas.DataFrame.aggregate</td>\n",
       "      <td>pandas/core/frame.py</td>\n",
       "      <td>6295.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L6295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>pandas.DataFrame.clip</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>7208.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>pandas.DataFrame.align</td>\n",
       "      <td>pandas/core/frame.py</td>\n",
       "      <td>3784.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L3784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>pandas.DataFrame.interpolate</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>6784.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>pandas.DataFrame.asof</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>6855.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>pandas.DataFrame.plot.area</td>\n",
       "      <td>pandas/plotting/_core.py</td>\n",
       "      <td>3312.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/_core.py#L3312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>pandas.DataFrame.boxplot</td>\n",
       "      <td>pandas/plotting/_core.py</td>\n",
       "      <td>2243.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/_core.py#L2243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>pandas.Panel.get_ftype_counts</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>5419.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L5419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>pandas.Panel.set_value</td>\n",
       "      <td>pandas/core/panel.py</td>\n",
       "      <td>522.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>pandas.Panel.major_xs</td>\n",
       "      <td>pandas/core/panel.py</td>\n",
       "      <td>793.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>pandas.Panel.minor_xs</td>\n",
       "      <td>pandas/core/panel.py</td>\n",
       "      <td>817.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>pandas.Panel.clip</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>7208.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>pandas.Categorical.__array__</td>\n",
       "      <td>pandas/core/arrays/categorical.py</td>\n",
       "      <td>1286.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/arrays/categorical.py#L1286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>pandas.unique</td>\n",
       "      <td>pandas/core/algorithms.py</td>\n",
       "      <td>278.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/algorithms.py#L278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>pandas.wide_to_long</td>\n",
       "      <td>pandas/core/reshape/melt.py</td>\n",
       "      <td>181.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/reshape/melt.py#L181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>pandas.to_numeric</td>\n",
       "      <td>pandas/core/tools/numeric.py</td>\n",
       "      <td>14.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/tools/numeric.py#L14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>pandas.core.window.Rolling.kurt</td>\n",
       "      <td>pandas/core/window.py</td>\n",
       "      <td>1777.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L1777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>pandas.core.window.Rolling.aggregate</td>\n",
       "      <td>pandas/core/window.py</td>\n",
       "      <td>1678.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L1678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>pandas.core.window.Expanding.kurt</td>\n",
       "      <td>pandas/core/window.py</td>\n",
       "      <td>2050.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L2050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>pandas.core.window.Expanding.aggregate</td>\n",
       "      <td>pandas/core/window.py</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L1956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>pandas.io.formats.style.Styler.render</td>\n",
       "      <td>pandas/io/formats/style.py</td>\n",
       "      <td>421.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/style.py#L421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>pandas.Series.get_ftype_counts</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>5419.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L5419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>pandas.Series.set_value</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>1190.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L1190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>pandas.DataFrame.set_value</td>\n",
       "      <td>pandas/core/frame.py</td>\n",
       "      <td>2782.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L2782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>pandas.Panel.asof</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>6855.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>pandas.Panel.get_values</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>5342.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L5342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>pandas.Panel.interpolate</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>6784.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6784</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        method  \\\n",
       "0         pandas.core.resample.Resampler.apply   \n",
       "1     pandas.core.resample.Resampler.aggregate   \n",
       "2   pandas.core.resample.Resampler.interpolate   \n",
       "3               pandas.plotting.bootstrap_plot   \n",
       "4                            pandas.Series.agg   \n",
       "5                      pandas.Series.aggregate   \n",
       "6                           pandas.Series.clip   \n",
       "7                         pandas.Series.unique   \n",
       "8                          pandas.Series.align   \n",
       "9                    pandas.Series.interpolate   \n",
       "10                          pandas.Series.asof   \n",
       "11                   pandas.Series.dt.strftime   \n",
       "12        pandas.tseries.frequencies.to_offset   \n",
       "13                        pandas.Index.reindex   \n",
       "14                           pandas.Index.isna   \n",
       "15                          pandas.Index.shift   \n",
       "16         pandas.Index.get_indexer_non_unique   \n",
       "17                 pandas.MultiIndex.sortlevel   \n",
       "18                 pandas.MultiIndex.swaplevel   \n",
       "19               pandas.DatetimeIndex.strftime   \n",
       "20                 pandas.PeriodIndex.strftime   \n",
       "21           pandas.DataFrame.get_ftype_counts   \n",
       "22                 pandas.DataFrame.get_values   \n",
       "23                        pandas.DataFrame.agg   \n",
       "24                  pandas.DataFrame.aggregate   \n",
       "25                       pandas.DataFrame.clip   \n",
       "26                      pandas.DataFrame.align   \n",
       "27                pandas.DataFrame.interpolate   \n",
       "28                       pandas.DataFrame.asof   \n",
       "29                  pandas.DataFrame.plot.area   \n",
       "30                    pandas.DataFrame.boxplot   \n",
       "31               pandas.Panel.get_ftype_counts   \n",
       "32                      pandas.Panel.set_value   \n",
       "33                       pandas.Panel.major_xs   \n",
       "34                       pandas.Panel.minor_xs   \n",
       "35                           pandas.Panel.clip   \n",
       "36                pandas.Categorical.__array__   \n",
       "37                               pandas.unique   \n",
       "38                         pandas.wide_to_long   \n",
       "39                           pandas.to_numeric   \n",
       "40             pandas.core.window.Rolling.kurt   \n",
       "41        pandas.core.window.Rolling.aggregate   \n",
       "42           pandas.core.window.Expanding.kurt   \n",
       "43      pandas.core.window.Expanding.aggregate   \n",
       "44       pandas.io.formats.style.Styler.render   \n",
       "45              pandas.Series.get_ftype_counts   \n",
       "46                     pandas.Series.set_value   \n",
       "47                  pandas.DataFrame.set_value   \n",
       "48                           pandas.Panel.asof   \n",
       "49                     pandas.Panel.get_values   \n",
       "50                    pandas.Panel.interpolate   \n",
       "\n",
       "                                   file  file_line  \\\n",
       "0               pandas/core/resample.py      257.0   \n",
       "1               pandas/core/resample.py      257.0   \n",
       "2               pandas/core/resample.py      761.0   \n",
       "3              pandas/plotting/_misc.py      363.0   \n",
       "4                 pandas/core/series.py     3427.0   \n",
       "5                 pandas/core/series.py     3427.0   \n",
       "6                pandas/core/generic.py     7208.0   \n",
       "7                 pandas/core/series.py     1612.0   \n",
       "8                 pandas/core/series.py     3652.0   \n",
       "9                pandas/core/generic.py     6784.0   \n",
       "10               pandas/core/generic.py     6855.0   \n",
       "11              pandas/core/accessor.py       94.0   \n",
       "12        pandas/tseries/frequencies.py       59.0   \n",
       "13          pandas/core/indexes/base.py     3088.0   \n",
       "14          pandas/core/indexes/base.py     1815.0   \n",
       "15          pandas/core/indexes/base.py     4242.0   \n",
       "16          pandas/core/indexes/base.py     4428.0   \n",
       "17         pandas/core/indexes/multi.py     2038.0   \n",
       "18         pandas/core/indexes/multi.py     1941.0   \n",
       "19  pandas/core/indexes/datetimelike.py       47.0   \n",
       "20              pandas/core/accessor.py       94.0   \n",
       "21               pandas/core/generic.py     5419.0   \n",
       "22               pandas/core/generic.py     5342.0   \n",
       "23                 pandas/core/frame.py     6295.0   \n",
       "24                 pandas/core/frame.py     6295.0   \n",
       "25               pandas/core/generic.py     7208.0   \n",
       "26                 pandas/core/frame.py     3784.0   \n",
       "27               pandas/core/generic.py     6784.0   \n",
       "28               pandas/core/generic.py     6855.0   \n",
       "29             pandas/plotting/_core.py     3312.0   \n",
       "30             pandas/plotting/_core.py     2243.0   \n",
       "31               pandas/core/generic.py     5419.0   \n",
       "32                 pandas/core/panel.py      522.0   \n",
       "33                 pandas/core/panel.py      793.0   \n",
       "34                 pandas/core/panel.py      817.0   \n",
       "35               pandas/core/generic.py     7208.0   \n",
       "36    pandas/core/arrays/categorical.py     1286.0   \n",
       "37            pandas/core/algorithms.py      278.0   \n",
       "38          pandas/core/reshape/melt.py      181.0   \n",
       "39         pandas/core/tools/numeric.py       14.0   \n",
       "40                pandas/core/window.py     1777.0   \n",
       "41                pandas/core/window.py     1678.0   \n",
       "42                pandas/core/window.py     2050.0   \n",
       "43                pandas/core/window.py     1956.0   \n",
       "44           pandas/io/formats/style.py      421.0   \n",
       "45               pandas/core/generic.py     5419.0   \n",
       "46                pandas/core/series.py     1190.0   \n",
       "47                 pandas/core/frame.py     2782.0   \n",
       "48               pandas/core/generic.py     6855.0   \n",
       "49               pandas/core/generic.py     5342.0   \n",
       "50               pandas/core/generic.py     6784.0   \n",
       "\n",
       "                                                                                 github_link  \n",
       "0              https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L257  \n",
       "1              https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L257  \n",
       "2              https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L761  \n",
       "3             https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/_misc.py#L363  \n",
       "4               https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L3427  \n",
       "5               https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L3427  \n",
       "6              https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7208  \n",
       "7               https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L1612  \n",
       "8               https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L3652  \n",
       "9              https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6784  \n",
       "10             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855  \n",
       "11              https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "12        https://github.com/pandas-dev/pandas/blob/master/pandas/tseries/frequencies.py#L59  \n",
       "13        https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L3088  \n",
       "14        https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L1815  \n",
       "15        https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L4242  \n",
       "16        https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L4428  \n",
       "17       https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/multi.py#L2038  \n",
       "18       https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/multi.py#L1941  \n",
       "19  https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/datetimelike.py#L47  \n",
       "20              https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "21             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L5419  \n",
       "22             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L5342  \n",
       "23               https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L6295  \n",
       "24               https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L6295  \n",
       "25             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7208  \n",
       "26               https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L3784  \n",
       "27             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6784  \n",
       "28             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855  \n",
       "29           https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/_core.py#L3312  \n",
       "30           https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/_core.py#L2243  \n",
       "31             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L5419  \n",
       "32                https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L522  \n",
       "33                https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L793  \n",
       "34                https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L817  \n",
       "35             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L7208  \n",
       "36  https://github.com/pandas-dev/pandas/blob/master/pandas/core/arrays/categorical.py#L1286  \n",
       "37           https://github.com/pandas-dev/pandas/blob/master/pandas/core/algorithms.py#L278  \n",
       "38         https://github.com/pandas-dev/pandas/blob/master/pandas/core/reshape/melt.py#L181  \n",
       "39         https://github.com/pandas-dev/pandas/blob/master/pandas/core/tools/numeric.py#L14  \n",
       "40              https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L1777  \n",
       "41              https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L1678  \n",
       "42              https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L2050  \n",
       "43              https://github.com/pandas-dev/pandas/blob/master/pandas/core/window.py#L1956  \n",
       "44          https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/style.py#L421  \n",
       "45             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L5419  \n",
       "46              https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L1190  \n",
       "47               https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L2782  \n",
       "48             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6855  \n",
       "49             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L5342  \n",
       "50             https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L6784  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "errors_of_type('RT05')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>method</th>\n",
       "      <th>file</th>\n",
       "      <th>file_line</th>\n",
       "      <th>github_link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pandas.core.resample.Resampler.get_group</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>626.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pandas.core.resample.Resampler.nunique</td>\n",
       "      <td>pandas/core/resample.py</td>\n",
       "      <td>877.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pandas.api.extensions.register_extension_dtype</td>\n",
       "      <td>pandas/core/dtypes/dtypes.py</td>\n",
       "      <td>19.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/dtypes.py#L19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pandas.core.groupby.GroupBy.get_group</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>626.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pandas.core.groupby.GroupBy.all</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>1059.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>pandas.core.groupby.GroupBy.any</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>1046.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>pandas.core.groupby.GroupBy.head</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>2039.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L2039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>pandas.core.groupby.GroupBy.rank</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>1811.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>pandas.core.groupby.GroupBy.tail</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>2067.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L2067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pandas.core.groupby.DataFrameGroupBy.all</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>1059.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>pandas.core.groupby.DataFrameGroupBy.any</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>1046.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>pandas.core.groupby.DataFrameGroupBy.rank</td>\n",
       "      <td>pandas/core/groupby/groupby.py</td>\n",
       "      <td>1811.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>pandas.core.groupby.SeriesGroupBy.nunique</td>\n",
       "      <td>pandas/core/groupby/generic.py</td>\n",
       "      <td>1023.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/generic.py#L1023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>pandas.plotting.andrews_curves</td>\n",
       "      <td>pandas/util/_decorators.py</td>\n",
       "      <td>272.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/util/_decorators.py#L272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>pandas.Series.put</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>581.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>pandas.Series.keys</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>1457.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L1457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>pandas.Series.lt</td>\n",
       "      <td>pandas/core/ops.py</td>\n",
       "      <td>1864.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/ops.py#L1864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>pandas.Series.le</td>\n",
       "      <td>pandas/core/ops.py</td>\n",
       "      <td>1864.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/ops.py#L1864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>pandas.Series.rolling</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10145.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>pandas.Series.expanding</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10156.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>pandas.Series.ewm</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10164.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>pandas.Series.argsort</td>\n",
       "      <td>pandas/core/series.py</td>\n",
       "      <td>2988.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L2988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>pandas.Series.str.len</td>\n",
       "      <td>pandas/core/strings.py</td>\n",
       "      <td>1737.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/strings.py#L1737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>pandas.Series.cat.rename_categories</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>pandas.Series.cat.reorder_categories</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>pandas.Series.cat.remove_categories</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>pandas.Series.cat.remove_unused_categories</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>pandas.Series.cat.set_categories</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>pandas.Index.equals</td>\n",
       "      <td>pandas/core/indexes/base.py</td>\n",
       "      <td>4050.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L4050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>pandas.Index.asof_locs</td>\n",
       "      <td>pandas/core/indexes/base.py</td>\n",
       "      <td>4145.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L4145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>pandas.CategoricalIndex.rename_categories</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>pandas.CategoricalIndex.reorder_categories</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>pandas.CategoricalIndex.remove_categories</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>pandas.CategoricalIndex.remove_unused_categories</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>pandas.CategoricalIndex.set_categories</td>\n",
       "      <td>pandas/core/accessor.py</td>\n",
       "      <td>94.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>pandas.CategoricalIndex.equals</td>\n",
       "      <td>pandas/core/indexes/category.py</td>\n",
       "      <td>233.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/category.py#L233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>pandas.DatetimeIndex.indexer_at_time</td>\n",
       "      <td>pandas/core/indexes/datetimes.py</td>\n",
       "      <td>1285.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/datetimes.py#L1285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>pandas.DataFrame.lt</td>\n",
       "      <td>pandas/core/ops.py</td>\n",
       "      <td>2059.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/ops.py#L2059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>pandas.DataFrame.le</td>\n",
       "      <td>pandas/core/ops.py</td>\n",
       "      <td>2059.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/ops.py#L2059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>pandas.DataFrame.rolling</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10145.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>pandas.DataFrame.expanding</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10156.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>pandas.DataFrame.ewm</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10164.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>pandas.DataFrame.melt</td>\n",
       "      <td>pandas/core/frame.py</td>\n",
       "      <td>6106.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L6106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>pandas.Panel.apply</td>\n",
       "      <td>pandas/core/panel.py</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>pandas.api.types.pandas_dtype</td>\n",
       "      <td>pandas/core/dtypes/common.py</td>\n",
       "      <td>1981.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L1981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>pandas.Timestamp.now</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>pandas.melt</td>\n",
       "      <td>pandas/core/reshape/melt.py</td>\n",
       "      <td>21.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/reshape/melt.py#L21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>pandas.io.stata.StataReader.data</td>\n",
       "      <td>pandas/io/stata.py</td>\n",
       "      <td>1430.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/stata.py#L1430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>pandas.io.stata.StataReader.data_label</td>\n",
       "      <td>pandas/io/stata.py</td>\n",
       "      <td>1728.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/stata.py#L1728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>pandas.io.stata.StataReader.value_labels</td>\n",
       "      <td>pandas/io/stata.py</td>\n",
       "      <td>1738.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/stata.py#L1738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>pandas.io.stata.StataReader.variable_labels</td>\n",
       "      <td>pandas/io/stata.py</td>\n",
       "      <td>1732.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/stata.py#L1732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>pandas.Series.ptp</td>\n",
       "      <td>pandas/core/generic.py</td>\n",
       "      <td>10943.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10943</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              method  \\\n",
       "0           pandas.core.resample.Resampler.get_group   \n",
       "1             pandas.core.resample.Resampler.nunique   \n",
       "2     pandas.api.extensions.register_extension_dtype   \n",
       "3              pandas.core.groupby.GroupBy.get_group   \n",
       "4                    pandas.core.groupby.GroupBy.all   \n",
       "5                    pandas.core.groupby.GroupBy.any   \n",
       "6                   pandas.core.groupby.GroupBy.head   \n",
       "7                   pandas.core.groupby.GroupBy.rank   \n",
       "8                   pandas.core.groupby.GroupBy.tail   \n",
       "9           pandas.core.groupby.DataFrameGroupBy.all   \n",
       "10          pandas.core.groupby.DataFrameGroupBy.any   \n",
       "11         pandas.core.groupby.DataFrameGroupBy.rank   \n",
       "12         pandas.core.groupby.SeriesGroupBy.nunique   \n",
       "13                    pandas.plotting.andrews_curves   \n",
       "14                                 pandas.Series.put   \n",
       "15                                pandas.Series.keys   \n",
       "16                                  pandas.Series.lt   \n",
       "17                                  pandas.Series.le   \n",
       "18                             pandas.Series.rolling   \n",
       "19                           pandas.Series.expanding   \n",
       "20                                 pandas.Series.ewm   \n",
       "21                             pandas.Series.argsort   \n",
       "22                             pandas.Series.str.len   \n",
       "23               pandas.Series.cat.rename_categories   \n",
       "24              pandas.Series.cat.reorder_categories   \n",
       "25               pandas.Series.cat.remove_categories   \n",
       "26        pandas.Series.cat.remove_unused_categories   \n",
       "27                  pandas.Series.cat.set_categories   \n",
       "28                               pandas.Index.equals   \n",
       "29                            pandas.Index.asof_locs   \n",
       "30         pandas.CategoricalIndex.rename_categories   \n",
       "31        pandas.CategoricalIndex.reorder_categories   \n",
       "32         pandas.CategoricalIndex.remove_categories   \n",
       "33  pandas.CategoricalIndex.remove_unused_categories   \n",
       "34            pandas.CategoricalIndex.set_categories   \n",
       "35                    pandas.CategoricalIndex.equals   \n",
       "36              pandas.DatetimeIndex.indexer_at_time   \n",
       "37                               pandas.DataFrame.lt   \n",
       "38                               pandas.DataFrame.le   \n",
       "39                          pandas.DataFrame.rolling   \n",
       "40                        pandas.DataFrame.expanding   \n",
       "41                              pandas.DataFrame.ewm   \n",
       "42                             pandas.DataFrame.melt   \n",
       "43                                pandas.Panel.apply   \n",
       "44                     pandas.api.types.pandas_dtype   \n",
       "45                              pandas.Timestamp.now   \n",
       "46                                       pandas.melt   \n",
       "47                  pandas.io.stata.StataReader.data   \n",
       "48            pandas.io.stata.StataReader.data_label   \n",
       "49          pandas.io.stata.StataReader.value_labels   \n",
       "50       pandas.io.stata.StataReader.variable_labels   \n",
       "51                                 pandas.Series.ptp   \n",
       "\n",
       "                                file  file_line  \\\n",
       "0     pandas/core/groupby/groupby.py      626.0   \n",
       "1            pandas/core/resample.py      877.0   \n",
       "2       pandas/core/dtypes/dtypes.py       19.0   \n",
       "3     pandas/core/groupby/groupby.py      626.0   \n",
       "4     pandas/core/groupby/groupby.py     1059.0   \n",
       "5     pandas/core/groupby/groupby.py     1046.0   \n",
       "6     pandas/core/groupby/groupby.py     2039.0   \n",
       "7     pandas/core/groupby/groupby.py     1811.0   \n",
       "8     pandas/core/groupby/groupby.py     2067.0   \n",
       "9     pandas/core/groupby/groupby.py     1059.0   \n",
       "10    pandas/core/groupby/groupby.py     1046.0   \n",
       "11    pandas/core/groupby/groupby.py     1811.0   \n",
       "12    pandas/core/groupby/generic.py     1023.0   \n",
       "13        pandas/util/_decorators.py      272.0   \n",
       "14             pandas/core/series.py      581.0   \n",
       "15             pandas/core/series.py     1457.0   \n",
       "16                pandas/core/ops.py     1864.0   \n",
       "17                pandas/core/ops.py     1864.0   \n",
       "18            pandas/core/generic.py    10145.0   \n",
       "19            pandas/core/generic.py    10156.0   \n",
       "20            pandas/core/generic.py    10164.0   \n",
       "21             pandas/core/series.py     2988.0   \n",
       "22            pandas/core/strings.py     1737.0   \n",
       "23           pandas/core/accessor.py       94.0   \n",
       "24           pandas/core/accessor.py       94.0   \n",
       "25           pandas/core/accessor.py       94.0   \n",
       "26           pandas/core/accessor.py       94.0   \n",
       "27           pandas/core/accessor.py       94.0   \n",
       "28       pandas/core/indexes/base.py     4050.0   \n",
       "29       pandas/core/indexes/base.py     4145.0   \n",
       "30           pandas/core/accessor.py       94.0   \n",
       "31           pandas/core/accessor.py       94.0   \n",
       "32           pandas/core/accessor.py       94.0   \n",
       "33           pandas/core/accessor.py       94.0   \n",
       "34           pandas/core/accessor.py       94.0   \n",
       "35   pandas/core/indexes/category.py      233.0   \n",
       "36  pandas/core/indexes/datetimes.py     1285.0   \n",
       "37                pandas/core/ops.py     2059.0   \n",
       "38                pandas/core/ops.py     2059.0   \n",
       "39            pandas/core/generic.py    10145.0   \n",
       "40            pandas/core/generic.py    10156.0   \n",
       "41            pandas/core/generic.py    10164.0   \n",
       "42              pandas/core/frame.py     6106.0   \n",
       "43              pandas/core/panel.py     1000.0   \n",
       "44      pandas/core/dtypes/common.py     1981.0   \n",
       "45                              None        NaN   \n",
       "46       pandas/core/reshape/melt.py       21.0   \n",
       "47                pandas/io/stata.py     1430.0   \n",
       "48                pandas/io/stata.py     1728.0   \n",
       "49                pandas/io/stata.py     1738.0   \n",
       "50                pandas/io/stata.py     1732.0   \n",
       "51            pandas/core/generic.py    10943.0   \n",
       "\n",
       "                                                                                github_link  \n",
       "0      https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L626  \n",
       "1             https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L877  \n",
       "2         https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/dtypes.py#L19  \n",
       "3      https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L626  \n",
       "4     https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1059  \n",
       "5     https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1046  \n",
       "6     https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L2039  \n",
       "7     https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1811  \n",
       "8     https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L2067  \n",
       "9     https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1059  \n",
       "10    https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1046  \n",
       "11    https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/groupby.py#L1811  \n",
       "12    https://github.com/pandas-dev/pandas/blob/master/pandas/core/groupby/generic.py#L1023  \n",
       "13         https://github.com/pandas-dev/pandas/blob/master/pandas/util/_decorators.py#L272  \n",
       "14              https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L581  \n",
       "15             https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L1457  \n",
       "16                https://github.com/pandas-dev/pandas/blob/master/pandas/core/ops.py#L1864  \n",
       "17                https://github.com/pandas-dev/pandas/blob/master/pandas/core/ops.py#L1864  \n",
       "18           https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10145  \n",
       "19           https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10156  \n",
       "20           https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10164  \n",
       "21             https://github.com/pandas-dev/pandas/blob/master/pandas/core/series.py#L2988  \n",
       "22            https://github.com/pandas-dev/pandas/blob/master/pandas/core/strings.py#L1737  \n",
       "23             https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "24             https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "25             https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "26             https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "27             https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "28       https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L4050  \n",
       "29       https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L4145  \n",
       "30             https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "31             https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "32             https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "33             https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "34             https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L94  \n",
       "35    https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/category.py#L233  \n",
       "36  https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/datetimes.py#L1285  \n",
       "37                https://github.com/pandas-dev/pandas/blob/master/pandas/core/ops.py#L2059  \n",
       "38                https://github.com/pandas-dev/pandas/blob/master/pandas/core/ops.py#L2059  \n",
       "39           https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10145  \n",
       "40           https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10156  \n",
       "41           https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10164  \n",
       "42              https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L6106  \n",
       "43              https://github.com/pandas-dev/pandas/blob/master/pandas/core/panel.py#L1000  \n",
       "44      https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/common.py#L1981  \n",
       "45                              https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "46         https://github.com/pandas-dev/pandas/blob/master/pandas/core/reshape/melt.py#L21  \n",
       "47                https://github.com/pandas-dev/pandas/blob/master/pandas/io/stata.py#L1430  \n",
       "48                https://github.com/pandas-dev/pandas/blob/master/pandas/io/stata.py#L1728  \n",
       "49                https://github.com/pandas-dev/pandas/blob/master/pandas/io/stata.py#L1738  \n",
       "50                https://github.com/pandas-dev/pandas/blob/master/pandas/io/stata.py#L1732  \n",
       "51           https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L10943  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "errors_of_type('SS05')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>method</th>\n",
       "      <th>file</th>\n",
       "      <th>file_line</th>\n",
       "      <th>github_link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pandas.tseries.offsets.DateOffset.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pandas.tseries.offsets.BusinessDay.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pandas.tseries.offsets.BusinessHour.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pandas.tseries.offsets.CustomBusinessDay.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pandas.tseries.offsets.CustomBusinessHour.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>pandas.tseries.offsets.MonthOffset.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>pandas.tseries.offsets.MonthEnd.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>pandas.tseries.offsets.MonthBegin.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>pandas.tseries.offsets.BusinessMonthEnd.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pandas.tseries.offsets.BusinessMonthBegin.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>pandas.tseries.offsets.CustomBusinessMonthEnd.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>pandas.tseries.offsets.CustomBusinessMonthBegin.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>pandas.tseries.offsets.SemiMonthOffset.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>pandas.tseries.offsets.SemiMonthEnd.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>pandas.tseries.offsets.SemiMonthBegin.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>pandas.tseries.offsets.Week.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>pandas.tseries.offsets.WeekOfMonth.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>pandas.tseries.offsets.LastWeekOfMonth.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>pandas.tseries.offsets.QuarterOffset.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>pandas.tseries.offsets.BQuarterEnd.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>pandas.tseries.offsets.BQuarterBegin.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>pandas.tseries.offsets.QuarterEnd.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>pandas.tseries.offsets.QuarterBegin.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>pandas.tseries.offsets.YearOffset.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>pandas.tseries.offsets.BYearEnd.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>pandas.tseries.offsets.BYearBegin.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>pandas.tseries.offsets.YearEnd.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>pandas.tseries.offsets.YearBegin.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>pandas.tseries.offsets.FY5253.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>pandas.tseries.offsets.FY5253Quarter.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>pandas.tseries.offsets.Tick.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>pandas.tseries.offsets.Day.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>pandas.tseries.offsets.Hour.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>pandas.tseries.offsets.Minute.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>pandas.tseries.offsets.Second.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>pandas.tseries.offsets.Milli.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>pandas.tseries.offsets.Micro.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>pandas.tseries.offsets.Nano.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>pandas.tseries.offsets.BDay.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>pandas.tseries.offsets.BMonthEnd.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>pandas.tseries.offsets.BMonthBegin.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>pandas.tseries.offsets.CBMonthEnd.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>pandas.tseries.offsets.CBMonthBegin.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>pandas.tseries.offsets.CDay.normalize</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>pandas.Timestamp.ceil</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>pandas.Timestamp.combine</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>pandas.Timestamp.floor</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>pandas.Timestamp.fromordinal</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>pandas.Timestamp.fromtimestamp</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>pandas.Timestamp.replace</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>pandas.Timestamp.strftime</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>pandas.Timestamp.strptime</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>pandas.Timedelta.view</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>pandas.Timedelta.ceil</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>pandas.Timedelta.floor</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>pandas.Timedelta.to_pytimedelta</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>pandas.HDFStore.groups</td>\n",
       "      <td>pandas/io/pytables.py</td>\n",
       "      <td>1093.0</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/pandas/io/pytables.py#L1093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>pandas.Panel.items</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>pandas.Panel.major_axis</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>pandas.Panel.minor_axis</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://github.com/pandas-dev/pandas/blob/master/None#LNone</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>61 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       method  \\\n",
       "0                 pandas.tseries.offsets.DateOffset.normalize   \n",
       "1                pandas.tseries.offsets.BusinessDay.normalize   \n",
       "2               pandas.tseries.offsets.BusinessHour.normalize   \n",
       "3          pandas.tseries.offsets.CustomBusinessDay.normalize   \n",
       "4         pandas.tseries.offsets.CustomBusinessHour.normalize   \n",
       "5                pandas.tseries.offsets.MonthOffset.normalize   \n",
       "6                   pandas.tseries.offsets.MonthEnd.normalize   \n",
       "7                 pandas.tseries.offsets.MonthBegin.normalize   \n",
       "8           pandas.tseries.offsets.BusinessMonthEnd.normalize   \n",
       "9         pandas.tseries.offsets.BusinessMonthBegin.normalize   \n",
       "10    pandas.tseries.offsets.CustomBusinessMonthEnd.normalize   \n",
       "11  pandas.tseries.offsets.CustomBusinessMonthBegin.normalize   \n",
       "12           pandas.tseries.offsets.SemiMonthOffset.normalize   \n",
       "13              pandas.tseries.offsets.SemiMonthEnd.normalize   \n",
       "14            pandas.tseries.offsets.SemiMonthBegin.normalize   \n",
       "15                      pandas.tseries.offsets.Week.normalize   \n",
       "16               pandas.tseries.offsets.WeekOfMonth.normalize   \n",
       "17           pandas.tseries.offsets.LastWeekOfMonth.normalize   \n",
       "18             pandas.tseries.offsets.QuarterOffset.normalize   \n",
       "19               pandas.tseries.offsets.BQuarterEnd.normalize   \n",
       "20             pandas.tseries.offsets.BQuarterBegin.normalize   \n",
       "21                pandas.tseries.offsets.QuarterEnd.normalize   \n",
       "22              pandas.tseries.offsets.QuarterBegin.normalize   \n",
       "23                pandas.tseries.offsets.YearOffset.normalize   \n",
       "24                  pandas.tseries.offsets.BYearEnd.normalize   \n",
       "25                pandas.tseries.offsets.BYearBegin.normalize   \n",
       "26                   pandas.tseries.offsets.YearEnd.normalize   \n",
       "27                 pandas.tseries.offsets.YearBegin.normalize   \n",
       "28                    pandas.tseries.offsets.FY5253.normalize   \n",
       "29             pandas.tseries.offsets.FY5253Quarter.normalize   \n",
       "..                                                        ...   \n",
       "31                      pandas.tseries.offsets.Tick.normalize   \n",
       "32                       pandas.tseries.offsets.Day.normalize   \n",
       "33                      pandas.tseries.offsets.Hour.normalize   \n",
       "34                    pandas.tseries.offsets.Minute.normalize   \n",
       "35                    pandas.tseries.offsets.Second.normalize   \n",
       "36                     pandas.tseries.offsets.Milli.normalize   \n",
       "37                     pandas.tseries.offsets.Micro.normalize   \n",
       "38                      pandas.tseries.offsets.Nano.normalize   \n",
       "39                      pandas.tseries.offsets.BDay.normalize   \n",
       "40                 pandas.tseries.offsets.BMonthEnd.normalize   \n",
       "41               pandas.tseries.offsets.BMonthBegin.normalize   \n",
       "42                pandas.tseries.offsets.CBMonthEnd.normalize   \n",
       "43              pandas.tseries.offsets.CBMonthBegin.normalize   \n",
       "44                      pandas.tseries.offsets.CDay.normalize   \n",
       "45                                      pandas.Timestamp.ceil   \n",
       "46                                   pandas.Timestamp.combine   \n",
       "47                                     pandas.Timestamp.floor   \n",
       "48                               pandas.Timestamp.fromordinal   \n",
       "49                             pandas.Timestamp.fromtimestamp   \n",
       "50                                   pandas.Timestamp.replace   \n",
       "51                                  pandas.Timestamp.strftime   \n",
       "52                                  pandas.Timestamp.strptime   \n",
       "53                                      pandas.Timedelta.view   \n",
       "54                                      pandas.Timedelta.ceil   \n",
       "55                                     pandas.Timedelta.floor   \n",
       "56                            pandas.Timedelta.to_pytimedelta   \n",
       "57                                     pandas.HDFStore.groups   \n",
       "58                                         pandas.Panel.items   \n",
       "59                                    pandas.Panel.major_axis   \n",
       "60                                    pandas.Panel.minor_axis   \n",
       "\n",
       "                     file  file_line  \\\n",
       "0                    None        NaN   \n",
       "1                    None        NaN   \n",
       "2                    None        NaN   \n",
       "3                    None        NaN   \n",
       "4                    None        NaN   \n",
       "5                    None        NaN   \n",
       "6                    None        NaN   \n",
       "7                    None        NaN   \n",
       "8                    None        NaN   \n",
       "9                    None        NaN   \n",
       "10                   None        NaN   \n",
       "11                   None        NaN   \n",
       "12                   None        NaN   \n",
       "13                   None        NaN   \n",
       "14                   None        NaN   \n",
       "15                   None        NaN   \n",
       "16                   None        NaN   \n",
       "17                   None        NaN   \n",
       "18                   None        NaN   \n",
       "19                   None        NaN   \n",
       "20                   None        NaN   \n",
       "21                   None        NaN   \n",
       "22                   None        NaN   \n",
       "23                   None        NaN   \n",
       "24                   None        NaN   \n",
       "25                   None        NaN   \n",
       "26                   None        NaN   \n",
       "27                   None        NaN   \n",
       "28                   None        NaN   \n",
       "29                   None        NaN   \n",
       "..                    ...        ...   \n",
       "31                   None        NaN   \n",
       "32                   None        NaN   \n",
       "33                   None        NaN   \n",
       "34                   None        NaN   \n",
       "35                   None        NaN   \n",
       "36                   None        NaN   \n",
       "37                   None        NaN   \n",
       "38                   None        NaN   \n",
       "39                   None        NaN   \n",
       "40                   None        NaN   \n",
       "41                   None        NaN   \n",
       "42                   None        NaN   \n",
       "43                   None        NaN   \n",
       "44                   None        NaN   \n",
       "45                   None        NaN   \n",
       "46                   None        NaN   \n",
       "47                   None        NaN   \n",
       "48                   None        NaN   \n",
       "49                   None        NaN   \n",
       "50                   None        NaN   \n",
       "51                   None        NaN   \n",
       "52                   None        NaN   \n",
       "53                   None        NaN   \n",
       "54                   None        NaN   \n",
       "55                   None        NaN   \n",
       "56                   None        NaN   \n",
       "57  pandas/io/pytables.py     1093.0   \n",
       "58                   None        NaN   \n",
       "59                   None        NaN   \n",
       "60                   None        NaN   \n",
       "\n",
       "                                                                     github_link  \n",
       "0                    https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "1                    https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "2                    https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "3                    https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "4                    https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "5                    https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "6                    https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "7                    https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "8                    https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "9                    https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "10                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "11                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "12                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "13                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "14                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "15                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "16                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "17                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "18                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "19                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "20                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "21                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "22                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "23                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "24                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "25                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "26                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "27                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "28                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "29                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "..                                                                           ...  \n",
       "31                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "32                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "33                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "34                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "35                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "36                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "37                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "38                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "39                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "40                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "41                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "42                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "43                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "44                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "45                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "46                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "47                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "48                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "49                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "50                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "51                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "52                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "53                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "54                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "55                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "56                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "57  https://github.com/pandas-dev/pandas/blob/master/pandas/io/pytables.py#L1093  \n",
       "58                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "59                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "60                   https://github.com/pandas-dev/pandas/blob/master/None#LNone  \n",
       "\n",
       "[61 rows x 4 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "errors_of_type('SS02')"
   ]
  }
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