nyt_crossword_stats.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 335,
   "id": "74fb52c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime\n",
    "from datetime import date\n",
    "from time import strftime\n",
    "from time import gmtime\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec9b58e6",
   "metadata": {},
   "source": [
    "## Data Loading and Manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "id": "165b45b0",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>day</th>\n",
       "      <th>elapsed_seconds</th>\n",
       "      <th>solved</th>\n",
       "      <th>checked</th>\n",
       "      <th>revealed</th>\n",
       "      <th>streak_eligible</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-01-02</td>\n",
       "      <td>Thu</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-01-03</td>\n",
       "      <td>Fri</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-01-04</td>\n",
       "      <td>Sat</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-01-05</td>\n",
       "      <td>Sun</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "         date  day  elapsed_seconds  solved  checked  revealed  \\\n",
       "0  2014-01-01  Wed                0       0        0         0   \n",
       "1  2014-01-02  Thu                0       0        0         0   \n",
       "2  2014-01-03  Fri                0       0        0         0   \n",
       "3  2014-01-04  Sat                0       0        0         0   \n",
       "4  2014-01-05  Sun                0       0        0         0   \n",
       "\n",
       "   streak_eligible  \n",
       "0                0  \n",
       "1                0  \n",
       "2                0  \n",
       "3                0  \n",
       "4                0  "
      ]
     },
     "execution_count": 303,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xword = pd.read_csv('data.csv')\n",
    "xword.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "id": "77ee3a80",
   "metadata": {},
   "outputs": [],
   "source": [
    "# add additional columns\n",
    "xword['date_obj'] = xword['date'].apply(lambda x: datetime.datetime.strptime(x, '%Y-%m-%d').date())\n",
    "xword['month'] = xword['date_obj'].apply(lambda x: x.month)\n",
    "xword['date_num'] = xword['date_obj'].apply(lambda x: x.day)\n",
    "xword['month_name'] = xword['date_obj'].apply(lambda x: x.strftime(\"%B\"))\n",
    "xword['year'] = xword['date_obj'].apply(lambda x: x.year)\n",
    "xword['date_label'] = xword['date_obj'].apply(lambda x: x.strftime(\"%b\") + ' ' + x.strftime(\"%y\"))\n",
    "xword['time_label'] = xword['elapsed_seconds'].apply(lambda x: strftime(\"%M:%S\", gmtime(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "id": "217c49c4",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
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       "      <th>day</th>\n",
       "      <th>elapsed_seconds</th>\n",
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       "      <th>time_label</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>2015-05-16</td>\n",
       "      <td>Sat</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-05-16</td>\n",
       "      <td>5</td>\n",
       "      <td>16</td>\n",
       "      <td>May</td>\n",
       "      <td>2015</td>\n",
       "      <td>May 15</td>\n",
       "      <td>00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>2015-05-17</td>\n",
       "      <td>Sun</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-05-17</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>May</td>\n",
       "      <td>2015</td>\n",
       "      <td>May 15</td>\n",
       "      <td>00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>2015-05-18</td>\n",
       "      <td>Mon</td>\n",
       "      <td>488</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-05-18</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>May</td>\n",
       "      <td>2015</td>\n",
       "      <td>May 15</td>\n",
       "      <td>08:08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>2015-05-19</td>\n",
       "      <td>Tue</td>\n",
       "      <td>1061</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-05-19</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>May</td>\n",
       "      <td>2015</td>\n",
       "      <td>May 15</td>\n",
       "      <td>17:41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>2015-05-20</td>\n",
       "      <td>Wed</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-05-20</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>May</td>\n",
       "      <td>2015</td>\n",
       "      <td>May 15</td>\n",
       "      <td>00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           date  day  elapsed_seconds  solved  checked  revealed  \\\n",
       "500  2015-05-16  Sat                0       0        0         0   \n",
       "501  2015-05-17  Sun                0       0        0         0   \n",
       "502  2015-05-18  Mon              488       1        0         0   \n",
       "503  2015-05-19  Tue             1061       1        1         0   \n",
       "504  2015-05-20  Wed                0       0        0         0   \n",
       "\n",
       "     streak_eligible    date_obj  month  date_num month_name  year date_label  \\\n",
       "500                0  2015-05-16      5        16        May  2015     May 15   \n",
       "501                0  2015-05-17      5        17        May  2015     May 15   \n",
       "502                0  2015-05-18      5        18        May  2015     May 15   \n",
       "503                0  2015-05-19      5        19        May  2015     May 15   \n",
       "504                0  2015-05-20      5        20        May  2015     May 15   \n",
       "\n",
       "    time_label  \n",
       "500      00:00  \n",
       "501      00:00  \n",
       "502      08:08  \n",
       "503      17:41  \n",
       "504      00:00  "
      ]
     },
     "execution_count": 308,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xword[500:505]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "id": "f91620db",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>day</th>\n",
       "      <th>elapsed_seconds</th>\n",
       "      <th>solved</th>\n",
       "      <th>checked</th>\n",
       "      <th>revealed</th>\n",
       "      <th>streak_eligible</th>\n",
       "      <th>date_obj</th>\n",
       "      <th>month</th>\n",
       "      <th>date_num</th>\n",
       "      <th>month_name</th>\n",
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       "      <th>date_label</th>\n",
       "      <th>time_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2014-01-06</td>\n",
       "      <td>Mon</td>\n",
       "      <td>610</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2014-01-06</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "      <td>Jan 14</td>\n",
       "      <td>10:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2014-01-07</td>\n",
       "      <td>Tue</td>\n",
       "      <td>907</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2014-01-07</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "      <td>Jan 14</td>\n",
       "      <td>15:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2014-01-13</td>\n",
       "      <td>Mon</td>\n",
       "      <td>500</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2014-01-13</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "      <td>Jan 14</td>\n",
       "      <td>08:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2014-01-14</td>\n",
       "      <td>Tue</td>\n",
       "      <td>987</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2014-01-14</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "      <td>Jan 14</td>\n",
       "      <td>16:27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2014-01-20</td>\n",
       "      <td>Mon</td>\n",
       "      <td>682</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2014-01-20</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "      <td>Jan 14</td>\n",
       "      <td>11:22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          date  day  elapsed_seconds  solved  checked  revealed  \\\n",
       "5   2014-01-06  Mon              610       1        0         0   \n",
       "6   2014-01-07  Tue              907       1        1         0   \n",
       "12  2014-01-13  Mon              500       1        0         0   \n",
       "13  2014-01-14  Tue              987       1        1         0   \n",
       "19  2014-01-20  Mon              682       1        1         0   \n",
       "\n",
       "    streak_eligible    date_obj  month  date_num month_name  year date_label  \\\n",
       "5                 0  2014-01-06      1         6    January  2014     Jan 14   \n",
       "6                 0  2014-01-07      1         7    January  2014     Jan 14   \n",
       "12                0  2014-01-13      1        13    January  2014     Jan 14   \n",
       "13                0  2014-01-14      1        14    January  2014     Jan 14   \n",
       "19                0  2014-01-20      1        20    January  2014     Jan 14   \n",
       "\n",
       "   time_label  \n",
       "5       10:10  \n",
       "6       15:07  \n",
       "12      08:20  \n",
       "13      16:27  \n",
       "19      11:22  "
      ]
     },
     "execution_count": 309,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# solved only\n",
    "xword_solved = xword[(xword.solved == 1) & (xword.elapsed_seconds > 0)]\n",
    "xword_solved.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 431,
   "id": "413f0c8b",
   "metadata": {},
   "outputs": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>day</th>\n",
       "      <th>elapsed_seconds</th>\n",
       "      <th>solved</th>\n",
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       "      <th>date_num</th>\n",
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       "      <th>date_label</th>\n",
       "      <th>time_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1427</th>\n",
       "      <td>2017-11-28</td>\n",
       "      <td>Tue</td>\n",
       "      <td>771</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-28</td>\n",
       "      <td>11</td>\n",
       "      <td>28</td>\n",
       "      <td>November</td>\n",
       "      <td>2017</td>\n",
       "      <td>Nov 17</td>\n",
       "      <td>12:51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1428</th>\n",
       "      <td>2017-11-29</td>\n",
       "      <td>Wed</td>\n",
       "      <td>1609</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-29</td>\n",
       "      <td>11</td>\n",
       "      <td>29</td>\n",
       "      <td>November</td>\n",
       "      <td>2017</td>\n",
       "      <td>Nov 17</td>\n",
       "      <td>26:49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1433</th>\n",
       "      <td>2017-12-04</td>\n",
       "      <td>Mon</td>\n",
       "      <td>273</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-04</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>04:33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1434</th>\n",
       "      <td>2017-12-05</td>\n",
       "      <td>Tue</td>\n",
       "      <td>587</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-05</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>09:47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1435</th>\n",
       "      <td>2017-12-06</td>\n",
       "      <td>Wed</td>\n",
       "      <td>918</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-06</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>15:18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1436</th>\n",
       "      <td>2017-12-07</td>\n",
       "      <td>Thu</td>\n",
       "      <td>1080</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-07</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1437</th>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>Fri</td>\n",
       "      <td>1139</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>18:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1440</th>\n",
       "      <td>2017-12-11</td>\n",
       "      <td>Mon</td>\n",
       "      <td>625</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-11</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>10:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1441</th>\n",
       "      <td>2017-12-12</td>\n",
       "      <td>Tue</td>\n",
       "      <td>1320</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1447</th>\n",
       "      <td>2017-12-18</td>\n",
       "      <td>Mon</td>\n",
       "      <td>552</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-18</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>09:12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1448</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>Tue</td>\n",
       "      <td>974</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>16:14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1449</th>\n",
       "      <td>2017-12-20</td>\n",
       "      <td>Wed</td>\n",
       "      <td>1291</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-20</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>21:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1450</th>\n",
       "      <td>2017-12-21</td>\n",
       "      <td>Thu</td>\n",
       "      <td>1686</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-21</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>28:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1451</th>\n",
       "      <td>2017-12-22</td>\n",
       "      <td>Fri</td>\n",
       "      <td>2039</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-22</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>33:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1454</th>\n",
       "      <td>2017-12-25</td>\n",
       "      <td>Mon</td>\n",
       "      <td>477</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-25</td>\n",
       "      <td>12</td>\n",
       "      <td>25</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>07:57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1455</th>\n",
       "      <td>2017-12-26</td>\n",
       "      <td>Tue</td>\n",
       "      <td>546</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-26</td>\n",
       "      <td>12</td>\n",
       "      <td>26</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>09:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>2017-12-27</td>\n",
       "      <td>Wed</td>\n",
       "      <td>1957</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-27</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>32:37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>2017-12-28</td>\n",
       "      <td>Thu</td>\n",
       "      <td>2499</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-28</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>41:39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>2017-12-29</td>\n",
       "      <td>Fri</td>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-29</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "      <td>Dec 17</td>\n",
       "      <td>33:37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1462</th>\n",
       "      <td>2018-01-02</td>\n",
       "      <td>Tue</td>\n",
       "      <td>667</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>January</td>\n",
       "      <td>2018</td>\n",
       "      <td>Jan 18</td>\n",
       "      <td>11:07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            date  day  elapsed_seconds  solved  checked  revealed  \\\n",
       "1427  2017-11-28  Tue              771       1        0         0   \n",
       "1428  2017-11-29  Wed             1609       1        0         0   \n",
       "1433  2017-12-04  Mon              273       1        0         0   \n",
       "1434  2017-12-05  Tue              587       1        0         0   \n",
       "1435  2017-12-06  Wed              918       1        0         0   \n",
       "1436  2017-12-07  Thu             1080       1        0         0   \n",
       "1437  2017-12-08  Fri             1139       1        0         0   \n",
       "1440  2017-12-11  Mon              625       1        0         0   \n",
       "1441  2017-12-12  Tue             1320       1        0         0   \n",
       "1447  2017-12-18  Mon              552       1        0         0   \n",
       "1448  2017-12-19  Tue              974       1        0         0   \n",
       "1449  2017-12-20  Wed             1291       1        0         0   \n",
       "1450  2017-12-21  Thu             1686       1        0         0   \n",
       "1451  2017-12-22  Fri             2039       1        0         0   \n",
       "1454  2017-12-25  Mon              477       1        0         0   \n",
       "1455  2017-12-26  Tue              546       1        0         0   \n",
       "1456  2017-12-27  Wed             1957       1        0         0   \n",
       "1457  2017-12-28  Thu             2499       1        0         0   \n",
       "1458  2017-12-29  Fri             2017       1        0         0   \n",
       "1462  2018-01-02  Tue              667       1        0         0   \n",
       "\n",
       "      streak_eligible    date_obj  month  date_num month_name  year  \\\n",
       "1427                1  2017-11-28     11        28   November  2017   \n",
       "1428                1  2017-11-29     11        29   November  2017   \n",
       "1433                1  2017-12-04     12         4   December  2017   \n",
       "1434                1  2017-12-05     12         5   December  2017   \n",
       "1435                1  2017-12-06     12         6   December  2017   \n",
       "1436                1  2017-12-07     12         7   December  2017   \n",
       "1437                1  2017-12-08     12         8   December  2017   \n",
       "1440                1  2017-12-11     12        11   December  2017   \n",
       "1441                1  2017-12-12     12        12   December  2017   \n",
       "1447                1  2017-12-18     12        18   December  2017   \n",
       "1448                1  2017-12-19     12        19   December  2017   \n",
       "1449                1  2017-12-20     12        20   December  2017   \n",
       "1450                1  2017-12-21     12        21   December  2017   \n",
       "1451                1  2017-12-22     12        22   December  2017   \n",
       "1454                1  2017-12-25     12        25   December  2017   \n",
       "1455                1  2017-12-26     12        26   December  2017   \n",
       "1456                1  2017-12-27     12        27   December  2017   \n",
       "1457                1  2017-12-28     12        28   December  2017   \n",
       "1458                1  2017-12-29     12        29   December  2017   \n",
       "1462                1  2018-01-02      1         2    January  2018   \n",
       "\n",
       "     date_label time_label  \n",
       "1427     Nov 17      12:51  \n",
       "1428     Nov 17      26:49  \n",
       "1433     Dec 17      04:33  \n",
       "1434     Dec 17      09:47  \n",
       "1435     Dec 17      15:18  \n",
       "1436     Dec 17      18:00  \n",
       "1437     Dec 17      18:59  \n",
       "1440     Dec 17      10:25  \n",
       "1441     Dec 17      22:00  \n",
       "1447     Dec 17      09:12  \n",
       "1448     Dec 17      16:14  \n",
       "1449     Dec 17      21:31  \n",
       "1450     Dec 17      28:06  \n",
       "1451     Dec 17      33:59  \n",
       "1454     Dec 17      07:57  \n",
       "1455     Dec 17      09:06  \n",
       "1456     Dec 17      32:37  \n",
       "1457     Dec 17      41:39  \n",
       "1458     Dec 17      33:37  \n",
       "1462     Jan 18      11:07  "
      ]
     },
     "execution_count": 431,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xword[xword.streak_eligible == 1].head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "id": "cdb13594",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 14d rolling average\n",
    "xword_rolling = xword_solved.groupby('day')[['date', 'elapsed_seconds']].rolling(14, closed='right', min_periods=7).mean().reset_index()\n",
    "xword_rolling.rename(columns={'level_1':'old_idx'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "id": "d8a6994d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>old_idx</th>\n",
       "      <th>elapsed_seconds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1430</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1437</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1444</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1451</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1458</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1465</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1472</td>\n",
       "      <td>1789.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1479</td>\n",
       "      <td>1983.625000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1486</td>\n",
       "      <td>1881.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1493</td>\n",
       "      <td>1984.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1500</td>\n",
       "      <td>2078.454545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1507</td>\n",
       "      <td>2161.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1514</td>\n",
       "      <td>2098.538462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1521</td>\n",
       "      <td>2279.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1528</td>\n",
       "      <td>2305.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1535</td>\n",
       "      <td>2359.214286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1542</td>\n",
       "      <td>2376.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1549</td>\n",
       "      <td>2315.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1556</td>\n",
       "      <td>2345.071429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1563</td>\n",
       "      <td>2268.928571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    day  old_idx  elapsed_seconds\n",
       "0   Fri     1430              NaN\n",
       "1   Fri     1437              NaN\n",
       "2   Fri     1444              NaN\n",
       "3   Fri     1451              NaN\n",
       "4   Fri     1458              NaN\n",
       "5   Fri     1465              NaN\n",
       "6   Fri     1472      1789.857143\n",
       "7   Fri     1479      1983.625000\n",
       "8   Fri     1486      1881.000000\n",
       "9   Fri     1493      1984.600000\n",
       "10  Fri     1500      2078.454545\n",
       "11  Fri     1507      2161.000000\n",
       "12  Fri     1514      2098.538462\n",
       "13  Fri     1521      2279.428571\n",
       "14  Fri     1528      2305.142857\n",
       "15  Fri     1535      2359.214286\n",
       "16  Fri     1542      2376.000000\n",
       "17  Fri     1549      2315.285714\n",
       "18  Fri     1556      2345.071429\n",
       "19  Fri     1563      2268.928571"
      ]
     },
     "execution_count": 360,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xword_rolling.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "id": "bbeff952",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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>Day</th>\n",
       "      <th>old_idx</th>\n",
       "      <th>elapsed_seconds</th>\n",
       "      <th>date</th>\n",
       "      <th>date_label</th>\n",
       "      <th>date_obj</th>\n",
       "      <th>time_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1472</td>\n",
       "      <td>1789.857143</td>\n",
       "      <td>2018-01-12</td>\n",
       "      <td>Jan 18</td>\n",
       "      <td>2018-01-12</td>\n",
       "      <td>29:49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1479</td>\n",
       "      <td>1983.625000</td>\n",
       "      <td>2018-01-19</td>\n",
       "      <td>Jan 18</td>\n",
       "      <td>2018-01-19</td>\n",
       "      <td>33:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1486</td>\n",
       "      <td>1881.000000</td>\n",
       "      <td>2018-01-26</td>\n",
       "      <td>Jan 18</td>\n",
       "      <td>2018-01-26</td>\n",
       "      <td>31:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1493</td>\n",
       "      <td>1984.600000</td>\n",
       "      <td>2018-02-02</td>\n",
       "      <td>Feb 18</td>\n",
       "      <td>2018-02-02</td>\n",
       "      <td>33:04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1500</td>\n",
       "      <td>2078.454545</td>\n",
       "      <td>2018-02-09</td>\n",
       "      <td>Feb 18</td>\n",
       "      <td>2018-02-09</td>\n",
       "      <td>34:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1507</td>\n",
       "      <td>2161.000000</td>\n",
       "      <td>2018-02-16</td>\n",
       "      <td>Feb 18</td>\n",
       "      <td>2018-02-16</td>\n",
       "      <td>36:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1514</td>\n",
       "      <td>2098.538462</td>\n",
       "      <td>2018-02-23</td>\n",
       "      <td>Feb 18</td>\n",
       "      <td>2018-02-23</td>\n",
       "      <td>34:58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1521</td>\n",
       "      <td>2279.428571</td>\n",
       "      <td>2018-03-02</td>\n",
       "      <td>Mar 18</td>\n",
       "      <td>2018-03-02</td>\n",
       "      <td>37:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1528</td>\n",
       "      <td>2305.142857</td>\n",
       "      <td>2018-03-09</td>\n",
       "      <td>Mar 18</td>\n",
       "      <td>2018-03-09</td>\n",
       "      <td>38:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1535</td>\n",
       "      <td>2359.214286</td>\n",
       "      <td>2018-03-16</td>\n",
       "      <td>Mar 18</td>\n",
       "      <td>2018-03-16</td>\n",
       "      <td>39:19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1542</td>\n",
       "      <td>2376.000000</td>\n",
       "      <td>2018-03-23</td>\n",
       "      <td>Mar 18</td>\n",
       "      <td>2018-03-23</td>\n",
       "      <td>39:36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1549</td>\n",
       "      <td>2315.285714</td>\n",
       "      <td>2018-03-30</td>\n",
       "      <td>Mar 18</td>\n",
       "      <td>2018-03-30</td>\n",
       "      <td>38:35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1556</td>\n",
       "      <td>2345.071429</td>\n",
       "      <td>2018-04-06</td>\n",
       "      <td>Apr 18</td>\n",
       "      <td>2018-04-06</td>\n",
       "      <td>39:05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1563</td>\n",
       "      <td>2268.928571</td>\n",
       "      <td>2018-04-13</td>\n",
       "      <td>Apr 18</td>\n",
       "      <td>2018-04-13</td>\n",
       "      <td>37:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1570</td>\n",
       "      <td>2267.214286</td>\n",
       "      <td>2018-04-20</td>\n",
       "      <td>Apr 18</td>\n",
       "      <td>2018-04-20</td>\n",
       "      <td>37:47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1577</td>\n",
       "      <td>2192.000000</td>\n",
       "      <td>2018-04-27</td>\n",
       "      <td>Apr 18</td>\n",
       "      <td>2018-04-27</td>\n",
       "      <td>36:32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1584</td>\n",
       "      <td>2202.785714</td>\n",
       "      <td>2018-05-04</td>\n",
       "      <td>May 18</td>\n",
       "      <td>2018-05-04</td>\n",
       "      <td>36:42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1591</td>\n",
       "      <td>2092.142857</td>\n",
       "      <td>2018-05-11</td>\n",
       "      <td>May 18</td>\n",
       "      <td>2018-05-11</td>\n",
       "      <td>34:52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1598</td>\n",
       "      <td>2036.357143</td>\n",
       "      <td>2018-05-18</td>\n",
       "      <td>May 18</td>\n",
       "      <td>2018-05-18</td>\n",
       "      <td>33:56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1605</td>\n",
       "      <td>1934.642857</td>\n",
       "      <td>2018-05-25</td>\n",
       "      <td>May 18</td>\n",
       "      <td>2018-05-25</td>\n",
       "      <td>32:14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Day  old_idx  elapsed_seconds        date date_label    date_obj  \\\n",
       "6   Fri     1472      1789.857143  2018-01-12     Jan 18  2018-01-12   \n",
       "7   Fri     1479      1983.625000  2018-01-19     Jan 18  2018-01-19   \n",
       "8   Fri     1486      1881.000000  2018-01-26     Jan 18  2018-01-26   \n",
       "9   Fri     1493      1984.600000  2018-02-02     Feb 18  2018-02-02   \n",
       "10  Fri     1500      2078.454545  2018-02-09     Feb 18  2018-02-09   \n",
       "11  Fri     1507      2161.000000  2018-02-16     Feb 18  2018-02-16   \n",
       "12  Fri     1514      2098.538462  2018-02-23     Feb 18  2018-02-23   \n",
       "13  Fri     1521      2279.428571  2018-03-02     Mar 18  2018-03-02   \n",
       "14  Fri     1528      2305.142857  2018-03-09     Mar 18  2018-03-09   \n",
       "15  Fri     1535      2359.214286  2018-03-16     Mar 18  2018-03-16   \n",
       "16  Fri     1542      2376.000000  2018-03-23     Mar 18  2018-03-23   \n",
       "17  Fri     1549      2315.285714  2018-03-30     Mar 18  2018-03-30   \n",
       "18  Fri     1556      2345.071429  2018-04-06     Apr 18  2018-04-06   \n",
       "19  Fri     1563      2268.928571  2018-04-13     Apr 18  2018-04-13   \n",
       "20  Fri     1570      2267.214286  2018-04-20     Apr 18  2018-04-20   \n",
       "21  Fri     1577      2192.000000  2018-04-27     Apr 18  2018-04-27   \n",
       "22  Fri     1584      2202.785714  2018-05-04     May 18  2018-05-04   \n",
       "23  Fri     1591      2092.142857  2018-05-11     May 18  2018-05-11   \n",
       "24  Fri     1598      2036.357143  2018-05-18     May 18  2018-05-18   \n",
       "25  Fri     1605      1934.642857  2018-05-25     May 18  2018-05-25   \n",
       "\n",
       "   time_label  \n",
       "6       29:49  \n",
       "7       33:03  \n",
       "8       31:21  \n",
       "9       33:04  \n",
       "10      34:38  \n",
       "11      36:01  \n",
       "12      34:58  \n",
       "13      37:59  \n",
       "14      38:25  \n",
       "15      39:19  \n",
       "16      39:36  \n",
       "17      38:35  \n",
       "18      39:05  \n",
       "19      37:48  \n",
       "20      37:47  \n",
       "21      36:32  \n",
       "22      36:42  \n",
       "23      34:52  \n",
       "24      33:56  \n",
       "25      32:14  "
      ]
     },
     "execution_count": 390,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# join rolling avg and solved dataset to get a table with both dates and rolling averages\n",
    "rolling_df = xword_rolling.merge(xword_solved[['date', 'date_label', 'date_obj']], left_on='old_idx', right_index=True)\n",
    "rolling_df.dropna(axis=0, inplace=True)\n",
    "rolling_df['time_label'] = rolling_df['elapsed_seconds'].apply(lambda x: strftime(\"%M:%S\", gmtime(x)))\n",
    "rolling_df.rename(columns={'day':'Day'}, inplace=True)\n",
    "rolling_df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "id": "14a99807",
   "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>old_idx</th>\n",
       "      <th>elapsed_seconds</th>\n",
       "      <th>date</th>\n",
       "      <th>date_label</th>\n",
       "      <th>date_obj</th>\n",
       "      <th>time_label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>191</td>\n",
       "      <td>191</td>\n",
       "      <td>191</td>\n",
       "      <td>191</td>\n",
       "      <td>191</td>\n",
       "      <td>191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mon</th>\n",
       "      <td>335</td>\n",
       "      <td>335</td>\n",
       "      <td>335</td>\n",
       "      <td>335</td>\n",
       "      <td>335</td>\n",
       "      <td>335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sat</th>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>191</td>\n",
       "      <td>191</td>\n",
       "      <td>191</td>\n",
       "      <td>191</td>\n",
       "      <td>191</td>\n",
       "      <td>191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thu</th>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tue</th>\n",
       "      <td>350</td>\n",
       "      <td>350</td>\n",
       "      <td>350</td>\n",
       "      <td>350</td>\n",
       "      <td>350</td>\n",
       "      <td>350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wed</th>\n",
       "      <td>288</td>\n",
       "      <td>288</td>\n",
       "      <td>288</td>\n",
       "      <td>288</td>\n",
       "      <td>288</td>\n",
       "      <td>288</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     old_idx  elapsed_seconds  date  date_label  date_obj  time_label\n",
       "day                                                                  \n",
       "Fri      191              191   191         191       191         191\n",
       "Mon      335              335   335         335       335         335\n",
       "Sat      174              174   174         174       174         174\n",
       "Sun      191              191   191         191       191         191\n",
       "Thu      205              205   205         205       205         205\n",
       "Tue      350              350   350         350       350         350\n",
       "Wed      288              288   288         288       288         288"
      ]
     },
     "execution_count": 362,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rolling_df.groupby('day').count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de474b96",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "id": "07b4f60e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2327419"
      ]
     },
     "execution_count": 363,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(xword.elapsed_seconds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "id": "12705ecd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'26 days, 22:30:19'"
      ]
     },
     "execution_count": 364,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(datetime.timedelta(seconds=sum(xword.elapsed_seconds)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "id": "ab58b64d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\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>date</th>\n",
       "      <th>day</th>\n",
       "      <th>elapsed_seconds</th>\n",
       "      <th>solved</th>\n",
       "      <th>checked</th>\n",
       "      <th>revealed</th>\n",
       "      <th>streak_eligible</th>\n",
       "      <th>date_obj</th>\n",
       "      <th>month</th>\n",
       "      <th>date_num</th>\n",
       "      <th>month_name</th>\n",
       "      <th>year</th>\n",
       "      <th>date_label</th>\n",
       "      <th>time_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2191</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>1176</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>2020</td>\n",
       "      <td>Jan 20</td>\n",
       "      <td>19:36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2192</th>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>Thu</td>\n",
       "      <td>1560</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>January</td>\n",
       "      <td>2020</td>\n",
       "      <td>Jan 20</td>\n",
       "      <td>26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2193</th>\n",
       "      <td>2020-01-03</td>\n",
       "      <td>Fri</td>\n",
       "      <td>1547</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>January</td>\n",
       "      <td>2020</td>\n",
       "      <td>Jan 20</td>\n",
       "      <td>25:47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2194</th>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>Sat</td>\n",
       "      <td>1507</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>January</td>\n",
       "      <td>2020</td>\n",
       "      <td>Jan 20</td>\n",
       "      <td>25:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2195</th>\n",
       "      <td>2020-01-05</td>\n",
       "      <td>Sun</td>\n",
       "      <td>5429</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>January</td>\n",
       "      <td>2020</td>\n",
       "      <td>Jan 20</td>\n",
       "      <td>30:29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2552</th>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>Sun</td>\n",
       "      <td>1842</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>December</td>\n",
       "      <td>2020</td>\n",
       "      <td>Dec 20</td>\n",
       "      <td>30:42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2553</th>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>Mon</td>\n",
       "      <td>412</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>December</td>\n",
       "      <td>2020</td>\n",
       "      <td>Dec 20</td>\n",
       "      <td>06:52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2554</th>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>Tue</td>\n",
       "      <td>438</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>December</td>\n",
       "      <td>2020</td>\n",
       "      <td>Dec 20</td>\n",
       "      <td>07:18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2555</th>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>Wed</td>\n",
       "      <td>921</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>December</td>\n",
       "      <td>2020</td>\n",
       "      <td>Dec 20</td>\n",
       "      <td>15:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2556</th>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>Thu</td>\n",
       "      <td>1587</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>December</td>\n",
       "      <td>2020</td>\n",
       "      <td>Dec 20</td>\n",
       "      <td>26:27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>366 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            date  day  elapsed_seconds  solved  checked  revealed  \\\n",
       "2191  2020-01-01  Wed             1176       1        0         0   \n",
       "2192  2020-01-02  Thu             1560       1        0         0   \n",
       "2193  2020-01-03  Fri             1547       1        0         0   \n",
       "2194  2020-01-04  Sat             1507       1        0         0   \n",
       "2195  2020-01-05  Sun             5429       1        0         0   \n",
       "...          ...  ...              ...     ...      ...       ...   \n",
       "2552  2020-12-27  Sun             1842       1        0         0   \n",
       "2553  2020-12-28  Mon              412       1        0         0   \n",
       "2554  2020-12-29  Tue              438       1        0         0   \n",
       "2555  2020-12-30  Wed              921       1        0         0   \n",
       "2556  2020-12-31  Thu             1587       1        1         0   \n",
       "\n",
       "      streak_eligible    date_obj  month  date_num month_name  year  \\\n",
       "2191                1  2020-01-01      1         1    January  2020   \n",
       "2192                1  2020-01-02      1         2    January  2020   \n",
       "2193                1  2020-01-03      1         3    January  2020   \n",
       "2194                1  2020-01-04      1         4    January  2020   \n",
       "2195                1  2020-01-05      1         5    January  2020   \n",
       "...               ...         ...    ...       ...        ...   ...   \n",
       "2552                1  2020-12-27     12        27   December  2020   \n",
       "2553                0  2020-12-28     12        28   December  2020   \n",
       "2554                1  2020-12-29     12        29   December  2020   \n",
       "2555                1  2020-12-30     12        30   December  2020   \n",
       "2556                0  2020-12-31     12        31   December  2020   \n",
       "\n",
       "     date_label time_label  \n",
       "2191     Jan 20      19:36  \n",
       "2192     Jan 20      26:00  \n",
       "2193     Jan 20      25:47  \n",
       "2194     Jan 20      25:07  \n",
       "2195     Jan 20      30:29  \n",
       "...         ...        ...  \n",
       "2552     Dec 20      30:42  \n",
       "2553     Dec 20      06:52  \n",
       "2554     Dec 20      07:18  \n",
       "2555     Dec 20      15:21  \n",
       "2556     Dec 20      26:27  \n",
       "\n",
       "[366 rows x 14 columns]"
      ]
     },
     "execution_count": 365,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xword[xword.year == 2020]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "id": "c0897a29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>day</th>\n",
       "      <th>elapsed_seconds</th>\n",
       "      <th>solved</th>\n",
       "      <th>checked</th>\n",
       "      <th>revealed</th>\n",
       "      <th>streak_eligible</th>\n",
       "      <th>date_obj</th>\n",
       "      <th>month</th>\n",
       "      <th>date_num</th>\n",
       "      <th>month_name</th>\n",
       "      <th>year</th>\n",
       "      <th>date_label</th>\n",
       "      <th>time_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-04-02</td>\n",
       "      <td>Fri</td>\n",
       "      <td>570</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-04-02</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>April</td>\n",
       "      <td>2021</td>\n",
       "      <td>Apr 21</td>\n",
       "      <td>09:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-06-04</td>\n",
       "      <td>Fri</td>\n",
       "      <td>606</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-06-04</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>June</td>\n",
       "      <td>2021</td>\n",
       "      <td>Jun 21</td>\n",
       "      <td>10:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-11-19</td>\n",
       "      <td>Fri</td>\n",
       "      <td>641</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-11-19</td>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>November</td>\n",
       "      <td>2021</td>\n",
       "      <td>Nov 21</td>\n",
       "      <td>10:41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-08-02</td>\n",
       "      <td>Mon</td>\n",
       "      <td>207</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-08-02</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>August</td>\n",
       "      <td>2021</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>03:27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-09-18</td>\n",
       "      <td>Mon</td>\n",
       "      <td>234</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-09-18</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>September</td>\n",
       "      <td>2017</td>\n",
       "      <td>Sep 17</td>\n",
       "      <td>03:54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-04-13</td>\n",
       "      <td>Mon</td>\n",
       "      <td>235</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-04-13</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>April</td>\n",
       "      <td>2020</td>\n",
       "      <td>Apr 20</td>\n",
       "      <td>03:55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2021-05-08</td>\n",
       "      <td>Sat</td>\n",
       "      <td>616</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-05-08</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>May</td>\n",
       "      <td>2021</td>\n",
       "      <td>May 21</td>\n",
       "      <td>10:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>Sat</td>\n",
       "      <td>633</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>11</td>\n",
       "      <td>28</td>\n",
       "      <td>November</td>\n",
       "      <td>2020</td>\n",
       "      <td>Nov 20</td>\n",
       "      <td>10:33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020-04-04</td>\n",
       "      <td>Sat</td>\n",
       "      <td>780</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-04-04</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>April</td>\n",
       "      <td>2020</td>\n",
       "      <td>Apr 20</td>\n",
       "      <td>13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2021-11-14</td>\n",
       "      <td>Sun</td>\n",
       "      <td>1017</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-11-14</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>November</td>\n",
       "      <td>2021</td>\n",
       "      <td>Nov 21</td>\n",
       "      <td>16:57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2017-11-26</td>\n",
       "      <td>Sun</td>\n",
       "      <td>1072</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-26</td>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>November</td>\n",
       "      <td>2017</td>\n",
       "      <td>Nov 17</td>\n",
       "      <td>17:52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2021-03-07</td>\n",
       "      <td>Sun</td>\n",
       "      <td>1157</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-07</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>March</td>\n",
       "      <td>2021</td>\n",
       "      <td>Mar 21</td>\n",
       "      <td>19:17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2019-06-27</td>\n",
       "      <td>Thu</td>\n",
       "      <td>541</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2019-06-27</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>June</td>\n",
       "      <td>2019</td>\n",
       "      <td>Jun 19</td>\n",
       "      <td>09:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2021-09-16</td>\n",
       "      <td>Thu</td>\n",
       "      <td>554</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-09-16</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>September</td>\n",
       "      <td>2021</td>\n",
       "      <td>Sep 21</td>\n",
       "      <td>09:14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2021-11-18</td>\n",
       "      <td>Thu</td>\n",
       "      <td>578</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-11-18</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>November</td>\n",
       "      <td>2021</td>\n",
       "      <td>Nov 21</td>\n",
       "      <td>09:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2016-02-02</td>\n",
       "      <td>Tue</td>\n",
       "      <td>138</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2016-02-02</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>February</td>\n",
       "      <td>2016</td>\n",
       "      <td>Feb 16</td>\n",
       "      <td>02:18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2016-02-16</td>\n",
       "      <td>Tue</td>\n",
       "      <td>237</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2016-02-16</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>February</td>\n",
       "      <td>2016</td>\n",
       "      <td>Feb 16</td>\n",
       "      <td>03:57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2021-11-30</td>\n",
       "      <td>Tue</td>\n",
       "      <td>280</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-11-30</td>\n",
       "      <td>11</td>\n",
       "      <td>30</td>\n",
       "      <td>November</td>\n",
       "      <td>2021</td>\n",
       "      <td>Nov 21</td>\n",
       "      <td>04:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2019-12-04</td>\n",
       "      <td>Wed</td>\n",
       "      <td>292</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2019-12-04</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>December</td>\n",
       "      <td>2019</td>\n",
       "      <td>Dec 19</td>\n",
       "      <td>04:52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2020-11-25</td>\n",
       "      <td>Wed</td>\n",
       "      <td>344</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-11-25</td>\n",
       "      <td>11</td>\n",
       "      <td>25</td>\n",
       "      <td>November</td>\n",
       "      <td>2020</td>\n",
       "      <td>Nov 20</td>\n",
       "      <td>05:44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2021-08-11</td>\n",
       "      <td>Wed</td>\n",
       "      <td>384</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-08-11</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>August</td>\n",
       "      <td>2021</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>06:24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          date  day  elapsed_seconds  solved  checked  revealed  \\\n",
       "0   2021-04-02  Fri              570       1        0         0   \n",
       "1   2021-06-04  Fri              606       1        0         0   \n",
       "2   2021-11-19  Fri              641       1        0         0   \n",
       "3   2021-08-02  Mon              207       1        0         0   \n",
       "4   2017-09-18  Mon              234       1        0         0   \n",
       "5   2020-04-13  Mon              235       1        0         0   \n",
       "6   2021-05-08  Sat              616       1        0         0   \n",
       "7   2020-11-28  Sat              633       1        0         0   \n",
       "8   2020-04-04  Sat              780       1        0         0   \n",
       "9   2021-11-14  Sun             1017       1        0         0   \n",
       "10  2017-11-26  Sun             1072       1        1         0   \n",
       "11  2021-03-07  Sun             1157       1        0         0   \n",
       "12  2019-06-27  Thu              541       1        0         0   \n",
       "13  2021-09-16  Thu              554       1        0         0   \n",
       "14  2021-11-18  Thu              578       1        0         0   \n",
       "15  2016-02-02  Tue              138       1        1         0   \n",
       "16  2016-02-16  Tue              237       1        1         0   \n",
       "17  2021-11-30  Tue              280       1        0         0   \n",
       "18  2019-12-04  Wed              292       1        0         0   \n",
       "19  2020-11-25  Wed              344       1        0         0   \n",
       "20  2021-08-11  Wed              384       1        0         0   \n",
       "\n",
       "    streak_eligible    date_obj  month  date_num month_name  year date_label  \\\n",
       "0                 1  2021-04-02      4         2      April  2021     Apr 21   \n",
       "1                 1  2021-06-04      6         4       June  2021     Jun 21   \n",
       "2                 1  2021-11-19     11        19   November  2021     Nov 21   \n",
       "3                 1  2021-08-02      8         2     August  2021     Aug 21   \n",
       "4                 0  2017-09-18      9        18  September  2017     Sep 17   \n",
       "5                 1  2020-04-13      4        13      April  2020     Apr 20   \n",
       "6                 1  2021-05-08      5         8        May  2021     May 21   \n",
       "7                 1  2020-11-28     11        28   November  2020     Nov 20   \n",
       "8                 1  2020-04-04      4         4      April  2020     Apr 20   \n",
       "9                 1  2021-11-14     11        14   November  2021     Nov 21   \n",
       "10                0  2017-11-26     11        26   November  2017     Nov 17   \n",
       "11                1  2021-03-07      3         7      March  2021     Mar 21   \n",
       "12                1  2019-06-27      6        27       June  2019     Jun 19   \n",
       "13                1  2021-09-16      9        16  September  2021     Sep 21   \n",
       "14                1  2021-11-18     11        18   November  2021     Nov 21   \n",
       "15                0  2016-02-02      2         2   February  2016     Feb 16   \n",
       "16                0  2016-02-16      2        16   February  2016     Feb 16   \n",
       "17                1  2021-11-30     11        30   November  2021     Nov 21   \n",
       "18                1  2019-12-04     12         4   December  2019     Dec 19   \n",
       "19                1  2020-11-25     11        25   November  2020     Nov 20   \n",
       "20                1  2021-08-11      8        11     August  2021     Aug 21   \n",
       "\n",
       "   time_label  \n",
       "0       09:30  \n",
       "1       10:06  \n",
       "2       10:41  \n",
       "3       03:27  \n",
       "4       03:54  \n",
       "5       03:55  \n",
       "6       10:16  \n",
       "7       10:33  \n",
       "8       13:00  \n",
       "9       16:57  \n",
       "10      17:52  \n",
       "11      19:17  \n",
       "12      09:01  \n",
       "13      09:14  \n",
       "14      09:38  \n",
       "15      02:18  \n",
       "16      03:57  \n",
       "17      04:40  \n",
       "18      04:52  \n",
       "19      05:44  \n",
       "20      06:24  "
      ]
     },
     "execution_count": 366,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xword_solved.groupby('day').apply(lambda x: x.nsmallest(3, 'elapsed_seconds')).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "id": "54ee1b1b",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'DataFrameGroupBy' object has no attribute 'reset_index'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-367-720a46779de2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mxword_solved\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'day'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreset_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlargest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"elapsed_seconds\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    750\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mattr\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    751\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 752\u001b[0;31m         raise AttributeError(\n\u001b[0m\u001b[1;32m    753\u001b[0m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    754\u001b[0m         )\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrameGroupBy' object has no attribute 'reset_index'"
     ]
    }
   ],
   "source": [
    "xword_solved.groupby('day').reset_index().nlargest(3, \"elapsed_seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "id": "fc353313",
   "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>elapsed_seconds</th>\n",
       "      <th>solved</th>\n",
       "      <th>checked</th>\n",
       "      <th>revealed</th>\n",
       "      <th>streak_eligible</th>\n",
       "      <th>month</th>\n",
       "      <th>date_num</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>1831.878173</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.558376</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.401015</td>\n",
       "      <td>6.578680</td>\n",
       "      <td>15.477157</td>\n",
       "      <td>2019.314721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mon</th>\n",
       "      <td>459.290323</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.548387</td>\n",
       "      <td>6.143695</td>\n",
       "      <td>15.615836</td>\n",
       "      <td>2017.856305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sat</th>\n",
       "      <td>2040.805556</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.677778</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.288889</td>\n",
       "      <td>6.561111</td>\n",
       "      <td>15.744444</td>\n",
       "      <td>2019.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>2750.492386</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.649746</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.299492</td>\n",
       "      <td>6.670051</td>\n",
       "      <td>15.817259</td>\n",
       "      <td>2019.253807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thu</th>\n",
       "      <td>1529.867299</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.407583</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.549763</td>\n",
       "      <td>6.616114</td>\n",
       "      <td>15.407583</td>\n",
       "      <td>2019.246445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tue</th>\n",
       "      <td>715.179775</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.348315</td>\n",
       "      <td>0.005618</td>\n",
       "      <td>0.469101</td>\n",
       "      <td>6.348315</td>\n",
       "      <td>15.469101</td>\n",
       "      <td>2017.755618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wed</th>\n",
       "      <td>956.340136</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.401361</td>\n",
       "      <td>0.003401</td>\n",
       "      <td>0.510204</td>\n",
       "      <td>6.615646</td>\n",
       "      <td>15.346939</td>\n",
       "      <td>2018.272109</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     elapsed_seconds  solved   checked  revealed  streak_eligible     month  \\\n",
       "day                                                                           \n",
       "Fri      1831.878173     1.0  0.558376  0.000000         0.401015  6.578680   \n",
       "Mon       459.290323     1.0  0.181818  0.000000         0.548387  6.143695   \n",
       "Sat      2040.805556     1.0  0.677778  0.000000         0.288889  6.561111   \n",
       "Sun      2750.492386     1.0  0.649746  0.000000         0.299492  6.670051   \n",
       "Thu      1529.867299     1.0  0.407583  0.000000         0.549763  6.616114   \n",
       "Tue       715.179775     1.0  0.348315  0.005618         0.469101  6.348315   \n",
       "Wed       956.340136     1.0  0.401361  0.003401         0.510204  6.615646   \n",
       "\n",
       "      date_num         year  \n",
       "day                          \n",
       "Fri  15.477157  2019.314721  \n",
       "Mon  15.615836  2017.856305  \n",
       "Sat  15.744444  2019.200000  \n",
       "Sun  15.817259  2019.253807  \n",
       "Thu  15.407583  2019.246445  \n",
       "Tue  15.469101  2017.755618  \n",
       "Wed  15.346939  2018.272109  "
      ]
     },
     "execution_count": 368,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xword_solved.groupby('day').mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0acdc53d",
   "metadata": {},
   "source": [
    "## Viz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "id": "4a743a78",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "sns.set(style=\"darkgrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "25a0a49a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='date', ylabel='elapsed_seconds'>"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xword_mon = xword_solved.query(\"day == 'Mon'\")\n",
    "sns.lineplot(data=xword_mon, x=\"date\", y=\"elapsed_seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2a330b53",
   "metadata": {},
   "outputs": [],
   "source": [
    "xword_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "id": "ec3a9544",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.date(2017, 12, 1)"
      ]
     },
     "execution_count": 329,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rolling_df.date_obj.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "id": "00a71575",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'date' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-334-8f565587c6ec>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2021\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'date' is not defined"
     ]
    }
   ],
   "source": [
    "date(2021,5,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "id": "4fa00a88",
   "metadata": {},
   "outputs": [],
   "source": [
    "mini_data = rolling_df[rolling_df.date_obj > date(2021,5,1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "id": "4bf6fbdd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "174     2021-05-07\n",
       "708     2021-06-05\n",
       "1450    2021-05-04\n",
       "1772    2021-11-17\n",
       "Name: date, dtype: object"
      ]
     },
     "execution_count": 370,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mini_data.date[::60]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "id": "ffc4919b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def ytick_format_func(value, tick_number):\n",
    "    if value >= 3600:\n",
    "        return(strftime(\"%H:%M:%S\", gmtime(value)))\n",
    "    return(strftime(\"%M:%S\", gmtime(value)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 398,
   "id": "eeab7ce2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1376.61x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = rolling_df.sort_values(by='date').reset_index()\n",
    "sns.set(font_scale=1.3)\n",
    "g = sns.relplot(\n",
    "    data=df, \n",
    "    x=\"date\", y=\"elapsed_seconds\", hue='Day',\n",
    "    kind=\"line\",\n",
    "    height=6, aspect=3,\n",
    "    linewidth=3,\n",
    "    hue_order = ['Sun', 'Sat', 'Fri', 'Thu', 'Wed', 'Tue', 'Mon']\n",
    ")\n",
    "\n",
    "g.set(ylim = (0,3850))\n",
    "g.set_axis_labels('Date', 'Solve time')\n",
    "g.set(title = 'NYT Crossword Solve Time Over Time (14d rolling average)')\n",
    "g.set(xticks=df.date[::60])\n",
    "g.set_xticklabels(df.date_label[::60], rotation=45)\n",
    "#g.set(yticks=df.elapsed_seconds)\n",
    "for ax in g.axes.flat:\n",
    "    ax.yaxis.set_major_formatter(plt.FuncFormatter(ytick_format_func))\n",
    "#g.set_yticklabels(rolling_df.time_label)\n",
    "#plt.tight_layout()\n",
    "plt.savefig('nytxw_lineplot.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "id": "89f28904",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1376.61x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mtw_df = rolling_df[rolling_df.Day.isin(['Mon', 'Tue', 'Wed'])]\n",
    "df = mtw_df.sort_values(by='date').reset_index()\n",
    "sns.set(font_scale=1.3)\n",
    "g = sns.relplot(\n",
    "    data=df, \n",
    "    x=\"date\", y=\"elapsed_seconds\", hue='Day',\n",
    "    kind=\"line\",\n",
    "    height=6, aspect=3,\n",
    "    linewidth=3,\n",
    "    hue_order = ['Sun', 'Sat', 'Fri', 'Thu', 'Wed', 'Tue', 'Mon']\n",
    ")\n",
    "\n",
    "#g.set(ylim = (0,4000))\n",
    "g.set_axis_labels('Date', 'Solve time')\n",
    "g.set(title = 'Mon-Wed NYT Crossword Solve Time Over Time (14d rolling average)')\n",
    "g.set(xticks=df.date[::60])\n",
    "g.set_xticklabels(df.date_label[::60], rotation=45)\n",
    "#g.set(yticks=df.elapsed_seconds)\n",
    "for ax in g.axes.flat:\n",
    "    ax.yaxis.set_major_formatter(plt.FuncFormatter(ytick_format_func))\n",
    "#g.set_yticklabels(rolling_df.time_label)\n",
    "plt.savefig('nyt_xw_lineplot_.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "id": "6246bca2",
   "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>day</th>\n",
       "      <th>old_idx</th>\n",
       "      <th>elapsed_seconds</th>\n",
       "      <th>date</th>\n",
       "      <th>date_label</th>\n",
       "      <th>time_label</th>\n",
       "      <th>date_obj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>Tue</td>\n",
       "      <td>2729</td>\n",
       "      <td>450.142857</td>\n",
       "      <td>2021-06-22</td>\n",
       "      <td>Jun 21</td>\n",
       "      <td>06:33</td>\n",
       "      <td>2021-06-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1751</th>\n",
       "      <td>Wed</td>\n",
       "      <td>2730</td>\n",
       "      <td>606.500000</td>\n",
       "      <td>2021-06-23</td>\n",
       "      <td>Jun 21</td>\n",
       "      <td>06:52</td>\n",
       "      <td>2021-06-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1106</th>\n",
       "      <td>Thu</td>\n",
       "      <td>2731</td>\n",
       "      <td>1102.642857</td>\n",
       "      <td>2021-06-24</td>\n",
       "      <td>Jun 21</td>\n",
       "      <td>17:33</td>\n",
       "      <td>2021-06-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>Fri</td>\n",
       "      <td>2732</td>\n",
       "      <td>1232.928571</td>\n",
       "      <td>2021-06-25</td>\n",
       "      <td>Jun 21</td>\n",
       "      <td>15:13</td>\n",
       "      <td>2021-06-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>711</th>\n",
       "      <td>Sat</td>\n",
       "      <td>2733</td>\n",
       "      <td>1438.214286</td>\n",
       "      <td>2021-06-26</td>\n",
       "      <td>Jun 21</td>\n",
       "      <td>29:00</td>\n",
       "      <td>2021-06-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>900</th>\n",
       "      <td>Sun</td>\n",
       "      <td>2734</td>\n",
       "      <td>1988.928571</td>\n",
       "      <td>2021-06-27</td>\n",
       "      <td>Jun 21</td>\n",
       "      <td>26:51</td>\n",
       "      <td>2021-06-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>Mon</td>\n",
       "      <td>2735</td>\n",
       "      <td>375.071429</td>\n",
       "      <td>2021-06-28</td>\n",
       "      <td>Jun 21</td>\n",
       "      <td>10:10</td>\n",
       "      <td>2021-06-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>Tue</td>\n",
       "      <td>2736</td>\n",
       "      <td>476.714286</td>\n",
       "      <td>2021-06-29</td>\n",
       "      <td>Jun 21</td>\n",
       "      <td>14:03</td>\n",
       "      <td>2021-06-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1752</th>\n",
       "      <td>Wed</td>\n",
       "      <td>2737</td>\n",
       "      <td>596.000000</td>\n",
       "      <td>2021-06-30</td>\n",
       "      <td>Jun 21</td>\n",
       "      <td>08:24</td>\n",
       "      <td>2021-06-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1107</th>\n",
       "      <td>Thu</td>\n",
       "      <td>2738</td>\n",
       "      <td>1085.857143</td>\n",
       "      <td>2021-07-01</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>14:39</td>\n",
       "      <td>2021-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>Fri</td>\n",
       "      <td>2739</td>\n",
       "      <td>1279.642857</td>\n",
       "      <td>2021-07-02</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>28:44</td>\n",
       "      <td>2021-07-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>Sat</td>\n",
       "      <td>2740</td>\n",
       "      <td>1572.857143</td>\n",
       "      <td>2021-07-03</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>48:39</td>\n",
       "      <td>2021-07-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>901</th>\n",
       "      <td>Sun</td>\n",
       "      <td>2741</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2021-07-04</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>25:36</td>\n",
       "      <td>2021-07-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>Mon</td>\n",
       "      <td>2742</td>\n",
       "      <td>373.428571</td>\n",
       "      <td>2021-07-05</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>05:54</td>\n",
       "      <td>2021-07-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1459</th>\n",
       "      <td>Tue</td>\n",
       "      <td>2743</td>\n",
       "      <td>477.071429</td>\n",
       "      <td>2021-07-06</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>07:26</td>\n",
       "      <td>2021-07-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1753</th>\n",
       "      <td>Wed</td>\n",
       "      <td>2744</td>\n",
       "      <td>571.071429</td>\n",
       "      <td>2021-07-07</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>06:50</td>\n",
       "      <td>2021-07-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>Thu</td>\n",
       "      <td>2745</td>\n",
       "      <td>1082.428571</td>\n",
       "      <td>2021-07-08</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>13:26</td>\n",
       "      <td>2021-07-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>Fri</td>\n",
       "      <td>2746</td>\n",
       "      <td>1258.571429</td>\n",
       "      <td>2021-07-09</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>16:09</td>\n",
       "      <td>2021-07-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>Mon</td>\n",
       "      <td>2749</td>\n",
       "      <td>373.000000</td>\n",
       "      <td>2021-07-12</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>06:51</td>\n",
       "      <td>2021-07-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1460</th>\n",
       "      <td>Tue</td>\n",
       "      <td>2750</td>\n",
       "      <td>490.285714</td>\n",
       "      <td>2021-07-13</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>13:38</td>\n",
       "      <td>2021-07-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1754</th>\n",
       "      <td>Wed</td>\n",
       "      <td>2751</td>\n",
       "      <td>580.500000</td>\n",
       "      <td>2021-07-14</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>12:30</td>\n",
       "      <td>2021-07-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109</th>\n",
       "      <td>Thu</td>\n",
       "      <td>2752</td>\n",
       "      <td>1091.857143</td>\n",
       "      <td>2021-07-15</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>18:34</td>\n",
       "      <td>2021-07-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>Fri</td>\n",
       "      <td>2753</td>\n",
       "      <td>1267.285714</td>\n",
       "      <td>2021-07-16</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>16:26</td>\n",
       "      <td>2021-07-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>Sun</td>\n",
       "      <td>2755</td>\n",
       "      <td>1864.285714</td>\n",
       "      <td>2021-07-18</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>23:51</td>\n",
       "      <td>2021-07-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>Mon</td>\n",
       "      <td>2756</td>\n",
       "      <td>386.571429</td>\n",
       "      <td>2021-07-19</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>08:46</td>\n",
       "      <td>2021-07-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1461</th>\n",
       "      <td>Tue</td>\n",
       "      <td>2757</td>\n",
       "      <td>493.714286</td>\n",
       "      <td>2021-07-20</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>06:55</td>\n",
       "      <td>2021-07-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1755</th>\n",
       "      <td>Wed</td>\n",
       "      <td>2758</td>\n",
       "      <td>602.857143</td>\n",
       "      <td>2021-07-21</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>12:38</td>\n",
       "      <td>2021-07-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>Sun</td>\n",
       "      <td>2762</td>\n",
       "      <td>1768.714286</td>\n",
       "      <td>2021-07-25</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>27:01</td>\n",
       "      <td>2021-07-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>Mon</td>\n",
       "      <td>2763</td>\n",
       "      <td>379.357143</td>\n",
       "      <td>2021-07-26</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>05:16</td>\n",
       "      <td>2021-07-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1462</th>\n",
       "      <td>Tue</td>\n",
       "      <td>2764</td>\n",
       "      <td>511.071429</td>\n",
       "      <td>2021-07-27</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>10:04</td>\n",
       "      <td>2021-07-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1756</th>\n",
       "      <td>Wed</td>\n",
       "      <td>2765</td>\n",
       "      <td>623.928571</td>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>Jul 21</td>\n",
       "      <td>14:32</td>\n",
       "      <td>2021-07-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>Mon</td>\n",
       "      <td>2770</td>\n",
       "      <td>366.571429</td>\n",
       "      <td>2021-08-02</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>03:27</td>\n",
       "      <td>2021-08-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1463</th>\n",
       "      <td>Tue</td>\n",
       "      <td>2771</td>\n",
       "      <td>524.928571</td>\n",
       "      <td>2021-08-03</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>08:36</td>\n",
       "      <td>2021-08-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1757</th>\n",
       "      <td>Wed</td>\n",
       "      <td>2772</td>\n",
       "      <td>629.571429</td>\n",
       "      <td>2021-08-04</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>11:44</td>\n",
       "      <td>2021-08-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>Thu</td>\n",
       "      <td>2773</td>\n",
       "      <td>1068.500000</td>\n",
       "      <td>2021-08-05</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>11:23</td>\n",
       "      <td>2021-08-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>Fri</td>\n",
       "      <td>2774</td>\n",
       "      <td>1286.357143</td>\n",
       "      <td>2021-08-06</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>26:32</td>\n",
       "      <td>2021-08-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>904</th>\n",
       "      <td>Sun</td>\n",
       "      <td>2776</td>\n",
       "      <td>1748.714286</td>\n",
       "      <td>2021-08-08</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>26:12</td>\n",
       "      <td>2021-08-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519</th>\n",
       "      <td>Mon</td>\n",
       "      <td>2777</td>\n",
       "      <td>369.071429</td>\n",
       "      <td>2021-08-09</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>06:33</td>\n",
       "      <td>2021-08-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1464</th>\n",
       "      <td>Tue</td>\n",
       "      <td>2778</td>\n",
       "      <td>530.857143</td>\n",
       "      <td>2021-08-10</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>07:16</td>\n",
       "      <td>2021-08-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1758</th>\n",
       "      <td>Wed</td>\n",
       "      <td>2779</td>\n",
       "      <td>617.500000</td>\n",
       "      <td>2021-08-11</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>06:24</td>\n",
       "      <td>2021-08-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1111</th>\n",
       "      <td>Thu</td>\n",
       "      <td>2780</td>\n",
       "      <td>1118.857143</td>\n",
       "      <td>2021-08-12</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>28:14</td>\n",
       "      <td>2021-08-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>Fri</td>\n",
       "      <td>2781</td>\n",
       "      <td>1334.500000</td>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>20:44</td>\n",
       "      <td>2021-08-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>905</th>\n",
       "      <td>Sun</td>\n",
       "      <td>2783</td>\n",
       "      <td>1737.142857</td>\n",
       "      <td>2021-08-15</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>31:29</td>\n",
       "      <td>2021-08-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>Mon</td>\n",
       "      <td>2784</td>\n",
       "      <td>382.857143</td>\n",
       "      <td>2021-08-16</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>07:34</td>\n",
       "      <td>2021-08-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1465</th>\n",
       "      <td>Tue</td>\n",
       "      <td>2785</td>\n",
       "      <td>546.785714</td>\n",
       "      <td>2021-08-17</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>10:49</td>\n",
       "      <td>2021-08-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1759</th>\n",
       "      <td>Wed</td>\n",
       "      <td>2786</td>\n",
       "      <td>605.571429</td>\n",
       "      <td>2021-08-18</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>08:03</td>\n",
       "      <td>2021-08-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1112</th>\n",
       "      <td>Thu</td>\n",
       "      <td>2787</td>\n",
       "      <td>1137.142857</td>\n",
       "      <td>2021-08-19</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>22:34</td>\n",
       "      <td>2021-08-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>Fri</td>\n",
       "      <td>2788</td>\n",
       "      <td>1348.571429</td>\n",
       "      <td>2021-08-20</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>18:55</td>\n",
       "      <td>2021-08-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>521</th>\n",
       "      <td>Mon</td>\n",
       "      <td>2791</td>\n",
       "      <td>392.857143</td>\n",
       "      <td>2021-08-23</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>08:09</td>\n",
       "      <td>2021-08-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1466</th>\n",
       "      <td>Tue</td>\n",
       "      <td>2792</td>\n",
       "      <td>550.071429</td>\n",
       "      <td>2021-08-24</td>\n",
       "      <td>Aug 21</td>\n",
       "      <td>06:57</td>\n",
       "      <td>2021-08-24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      day  old_idx  elapsed_seconds        date date_label time_label  \\\n",
       "1457  Tue     2729       450.142857  2021-06-22     Jun 21      06:33   \n",
       "1751  Wed     2730       606.500000  2021-06-23     Jun 21      06:52   \n",
       "1106  Thu     2731      1102.642857  2021-06-24     Jun 21      17:33   \n",
       "180   Fri     2732      1232.928571  2021-06-25     Jun 21      15:13   \n",
       "711   Sat     2733      1438.214286  2021-06-26     Jun 21      29:00   \n",
       "900   Sun     2734      1988.928571  2021-06-27     Jun 21      26:51   \n",
       "513   Mon     2735       375.071429  2021-06-28     Jun 21      10:10   \n",
       "1458  Tue     2736       476.714286  2021-06-29     Jun 21      14:03   \n",
       "1752  Wed     2737       596.000000  2021-06-30     Jun 21      08:24   \n",
       "1107  Thu     2738      1085.857143  2021-07-01     Jul 21      14:39   \n",
       "181   Fri     2739      1279.642857  2021-07-02     Jul 21      28:44   \n",
       "712   Sat     2740      1572.857143  2021-07-03     Jul 21      48:39   \n",
       "901   Sun     2741      2016.000000  2021-07-04     Jul 21      25:36   \n",
       "514   Mon     2742       373.428571  2021-07-05     Jul 21      05:54   \n",
       "1459  Tue     2743       477.071429  2021-07-06     Jul 21      07:26   \n",
       "1753  Wed     2744       571.071429  2021-07-07     Jul 21      06:50   \n",
       "1108  Thu     2745      1082.428571  2021-07-08     Jul 21      13:26   \n",
       "182   Fri     2746      1258.571429  2021-07-09     Jul 21      16:09   \n",
       "515   Mon     2749       373.000000  2021-07-12     Jul 21      06:51   \n",
       "1460  Tue     2750       490.285714  2021-07-13     Jul 21      13:38   \n",
       "1754  Wed     2751       580.500000  2021-07-14     Jul 21      12:30   \n",
       "1109  Thu     2752      1091.857143  2021-07-15     Jul 21      18:34   \n",
       "183   Fri     2753      1267.285714  2021-07-16     Jul 21      16:26   \n",
       "902   Sun     2755      1864.285714  2021-07-18     Jul 21      23:51   \n",
       "516   Mon     2756       386.571429  2021-07-19     Jul 21      08:46   \n",
       "1461  Tue     2757       493.714286  2021-07-20     Jul 21      06:55   \n",
       "1755  Wed     2758       602.857143  2021-07-21     Jul 21      12:38   \n",
       "903   Sun     2762      1768.714286  2021-07-25     Jul 21      27:01   \n",
       "517   Mon     2763       379.357143  2021-07-26     Jul 21      05:16   \n",
       "1462  Tue     2764       511.071429  2021-07-27     Jul 21      10:04   \n",
       "1756  Wed     2765       623.928571  2021-07-28     Jul 21      14:32   \n",
       "518   Mon     2770       366.571429  2021-08-02     Aug 21      03:27   \n",
       "1463  Tue     2771       524.928571  2021-08-03     Aug 21      08:36   \n",
       "1757  Wed     2772       629.571429  2021-08-04     Aug 21      11:44   \n",
       "1110  Thu     2773      1068.500000  2021-08-05     Aug 21      11:23   \n",
       "184   Fri     2774      1286.357143  2021-08-06     Aug 21      26:32   \n",
       "904   Sun     2776      1748.714286  2021-08-08     Aug 21      26:12   \n",
       "519   Mon     2777       369.071429  2021-08-09     Aug 21      06:33   \n",
       "1464  Tue     2778       530.857143  2021-08-10     Aug 21      07:16   \n",
       "1758  Wed     2779       617.500000  2021-08-11     Aug 21      06:24   \n",
       "1111  Thu     2780      1118.857143  2021-08-12     Aug 21      28:14   \n",
       "185   Fri     2781      1334.500000  2021-08-13     Aug 21      20:44   \n",
       "905   Sun     2783      1737.142857  2021-08-15     Aug 21      31:29   \n",
       "520   Mon     2784       382.857143  2021-08-16     Aug 21      07:34   \n",
       "1465  Tue     2785       546.785714  2021-08-17     Aug 21      10:49   \n",
       "1759  Wed     2786       605.571429  2021-08-18     Aug 21      08:03   \n",
       "1112  Thu     2787      1137.142857  2021-08-19     Aug 21      22:34   \n",
       "186   Fri     2788      1348.571429  2021-08-20     Aug 21      18:55   \n",
       "521   Mon     2791       392.857143  2021-08-23     Aug 21      08:09   \n",
       "1466  Tue     2792       550.071429  2021-08-24     Aug 21      06:57   \n",
       "\n",
       "        date_obj  \n",
       "1457  2021-06-22  \n",
       "1751  2021-06-23  \n",
       "1106  2021-06-24  \n",
       "180   2021-06-25  \n",
       "711   2021-06-26  \n",
       "900   2021-06-27  \n",
       "513   2021-06-28  \n",
       "1458  2021-06-29  \n",
       "1752  2021-06-30  \n",
       "1107  2021-07-01  \n",
       "181   2021-07-02  \n",
       "712   2021-07-03  \n",
       "901   2021-07-04  \n",
       "514   2021-07-05  \n",
       "1459  2021-07-06  \n",
       "1753  2021-07-07  \n",
       "1108  2021-07-08  \n",
       "182   2021-07-09  \n",
       "515   2021-07-12  \n",
       "1460  2021-07-13  \n",
       "1754  2021-07-14  \n",
       "1109  2021-07-15  \n",
       "183   2021-07-16  \n",
       "902   2021-07-18  \n",
       "516   2021-07-19  \n",
       "1461  2021-07-20  \n",
       "1755  2021-07-21  \n",
       "903   2021-07-25  \n",
       "517   2021-07-26  \n",
       "1462  2021-07-27  \n",
       "1756  2021-07-28  \n",
       "518   2021-08-02  \n",
       "1463  2021-08-03  \n",
       "1757  2021-08-04  \n",
       "1110  2021-08-05  \n",
       "184   2021-08-06  \n",
       "904   2021-08-08  \n",
       "519   2021-08-09  \n",
       "1464  2021-08-10  \n",
       "1758  2021-08-11  \n",
       "1111  2021-08-12  \n",
       "185   2021-08-13  \n",
       "905   2021-08-15  \n",
       "520   2021-08-16  \n",
       "1465  2021-08-17  \n",
       "1759  2021-08-18  \n",
       "1112  2021-08-19  \n",
       "186   2021-08-20  \n",
       "521   2021-08-23  \n",
       "1466  2021-08-24  "
      ]
     },
     "execution_count": 351,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mini_data.sort_values(by='date').iloc[50:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d2a199f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "g = sns.relplot(\n",
    "    data=xword_rolling, \n",
    "    x=\"date\", y=\"elapsed_seconds\", hue='day',\n",
    "    kind=\"line\",\n",
    "    height=8, aspect=3,\n",
    ")\n",
    "\n",
    "g.set(ylim = (0,6000))\n",
    "g.set(xticks=xword_solved.date[::60])\n",
    "g.set_xticklabels(xword_solved.label[::60], rotation=60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f18ea79c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a8a382a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c67be9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "## "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 412,
   "id": "0a51baa1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# changing the structure of the data table within function\n",
    "def add_cols(df):\n",
    "    df_copy = df.copy()\n",
    "    # add additional columns\n",
    "    df_copy['date_obj'] = df_copy['date'].apply(lambda x: datetime.datetime.strptime(x, '%Y-%m-%d').date())\n",
    "    df_copy['month'] = df_copy['date_obj'].apply(lambda x: x.month)\n",
    "    df_copy['date_num'] = df_copy['date_obj'].apply(lambda x: x.day)\n",
    "    df_copy['month_name'] = df_copy['date_obj'].apply(lambda x: x.strftime(\"%B\"))\n",
    "    df_copy['year'] = df_copy['date_obj'].apply(lambda x: x.year)\n",
    "    df_copy['date_label'] = df_copy['date_obj'].apply(lambda x: x.strftime(\"%b\") + ' ' + x.strftime(\"%y\"))\n",
    "    df_copy['time_label'] = df_copy['elapsed_seconds'].apply(lambda x: strftime(\"%M:%S\", gmtime(x)))\n",
    "    return(df_copy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 417,
   "id": "75ae2286",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_solved_df(df):\n",
    "    xw_solved = df[(df.solved == 1) & (df.elapsed_seconds > 0)]\n",
    "    return(xw_solved)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "id": "5eeda0bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_rolling_df(solved_df, roll_num):\n",
    "    xw_rolling = solved_df.groupby('day')[['date', 'elapsed_seconds']].rolling(roll_num, closed='right', min_periods=int(roll_num/2)).mean().reset_index()\n",
    "    xw_rolling.rename(columns={'level_1':'old_idx'}, inplace=True)\n",
    "    return(xw_rolling)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 423,
   "id": "4d328515",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_plotting_df(xw_rolling, xw_solved):\n",
    "    # join rolling avg and solved dataset to get a table with both dates and rolling averages\n",
    "    plotting_df = xw_rolling.merge(xw_solved[['date', 'date_label', 'date_obj']], left_on='old_idx', right_index=True)\n",
    "    plotting_df.dropna(axis=0, inplace=True)\n",
    "    plotting_df['time_label'] = plotting_df['elapsed_seconds'].apply(lambda x: strftime(\"%M:%S\", gmtime(x)))\n",
    "    plotting_df.rename(columns={'day':'Day'}, inplace=True)\n",
    "    return(plotting_df.sort_values(by='date').reset_index())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 429,
   "id": "58b750b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_lineplot(df):\n",
    "    def ytick_format_func(value, tick_number):\n",
    "        if value >= 3600:\n",
    "            return(strftime(\"%H:%M:%S\", gmtime(value)))\n",
    "        return(strftime(\"%M:%S\", gmtime(value)))\n",
    "    \n",
    "    sns.set(font_scale=1.3)\n",
    "    g = sns.relplot(\n",
    "        data=df, \n",
    "        x=\"date\", y=\"elapsed_seconds\", hue='Day',\n",
    "        kind=\"line\",\n",
    "        height=6, aspect=3,\n",
    "        linewidth=3,\n",
    "        hue_order = ['Sun', 'Sat', 'Fri', 'Thu', 'Wed', 'Tue', 'Mon']\n",
    "    )\n",
    "    g.set(ylim = (0,max(df.elapsed_seconds)))\n",
    "    g.set_axis_labels('Date', 'Solve time')\n",
    "    g.set(title = 'NYT Crossword Solve Time Over Time (14d rolling average)')\n",
    "    g.set(xticks=df.date[::60])\n",
    "    g.set_xticklabels(df.date_label[::60], rotation=45)\n",
    "    #g.set(yticks=df.elapsed_seconds)\n",
    "    for ax in g.axes.flat:\n",
    "        ax.yaxis.set_major_formatter(plt.FuncFormatter(ytick_format_func))\n",
    "    #g.set_yticklabels(rolling_df.time_label)\n",
    "    #plt.tight_layout()\n",
    "    plt.savefig('nytxw_lineplot.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 428,
   "id": "04e79a0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1376.61x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xw = pd.read_csv('data.csv')\n",
    "xw_full = add_cols(xw)\n",
    "xw_solved = get_solved_df(xw_full)\n",
    "xw_rolling = get_rolling_df(xw_solved, 21)\n",
    "xw_plotting = get_plotting_df(xw_rolling, xw_solved)\n",
    "make_lineplot(xw_plotting)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b5578a95",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}