why2025-polygen-stats/notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-08-26T16:51:56.681979Z",
     "start_time": "2025-08-26T16:51:56.214243Z"
    }
   },
   "source": [
    "from datetime import datetime\n",
    "\n",
    "import pandas\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from foo import *"
   ],
   "outputs": [],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-26T16:51:56.773910Z",
     "start_time": "2025-08-26T16:51:56.691695Z"
    }
   },
   "cell_type": "code",
   "source": [
    "vinzenz_score_log = load_score_log('PolyGenStats-vinzenz-scorelog.csv')\n",
    "vinzenz_summary = generate_station_stats(vinzenz_score_log)\n",
    "\n",
    "fiebertrauma_score_log = load_score_log('PolyGenStats-Fiebertrauma-scorelog.csv')\n",
    "fiebertrauma_summary = generate_station_stats(fiebertrauma_score_log)\n",
    "\n",
    "vinzenz_summary"
   ],
   "id": "bf523274efb801dd",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "                           name  mapx  mapy         first_visit  total_score  \\\n",
       "0                     Info Desk   216   505 2025-08-08 20:14:00        17026   \n",
       "1                      Main Bar   190   570 2025-08-08 20:22:00        36884   \n",
       "2                    Badge Tent   328   607 2025-08-08 20:23:00        32599   \n",
       "3             CoderDojo Belgium    34   523 2025-08-08 21:39:00        44374   \n",
       "4                        Heaven   183   227 2025-08-08 21:46:00        10057   \n",
       "5                   Karaoke Bar   292   446 2025-08-08 21:55:00        45272   \n",
       "6                    Cold North   305   402 2025-08-08 21:56:00        50757   \n",
       "7                 Entrance Arch   240   916 2025-08-08 22:10:00        41486   \n",
       "8                     Site Sign   207   874 2025-08-08 22:12:00        63688   \n",
       "9          Maker Days Eindhoven   115   749 2025-08-08 22:28:00        62440   \n",
       "10                        Adyen   120   637 2025-08-08 22:34:00         8281   \n",
       "11              Chaos Mauldasch   164   635 2025-08-08 22:37:00         8564   \n",
       "12                    Party Bar    67   289 2025-08-08 22:54:00        13340   \n",
       "13                     Geraffel   188   166 2025-08-08 23:03:00         6899   \n",
       "14                        FALSE   163   425 2025-08-08 23:17:00         3863   \n",
       "15                     Pixelbar   379   602 2025-08-09 00:42:00        52601   \n",
       "16  Bridge over troubled waters   251   553 2025-08-09 02:28:00        29550   \n",
       "17                    Milliways    95   498 2025-08-09 17:07:00        11003   \n",
       "18            PolyGen Home Base   322   591 2025-08-09 17:52:00        14376   \n",
       "19  Rose Island Italian Embassy    41   475 2025-08-10 04:12:00         4167   \n",
       "20            Food Hacking Base   119   571 2025-08-10 18:31:00         5308   \n",
       "21                     BornHack    82   337 2025-08-10 19:51:00        17711   \n",
       "22                       Matrix   164   731 2025-08-11 15:33:00         2696   \n",
       "23             Tilde Industries   361   468 2025-08-11 17:42:00         6515   \n",
       "24                           0E     0     0 2025-08-12 13:32:00          191   \n",
       "\n",
       "    totalboostscore  totalboostduration  maxboostscore  maxboostduration  \\\n",
       "0            2341.0             23410.0         2262.0           22620.0   \n",
       "1             735.0              7350.0          537.0            5370.0   \n",
       "2              47.0               470.0           28.0             280.0   \n",
       "3             101.0              1010.0          101.0            1010.0   \n",
       "4             277.0              2770.0          125.0            1250.0   \n",
       "5             103.0              1030.0           47.0             470.0   \n",
       "6             267.0              2670.0          142.0            1420.0   \n",
       "7              70.0               700.0           70.0             700.0   \n",
       "8             681.0              6810.0          199.0            1990.0   \n",
       "9             696.0              6960.0          284.0            2840.0   \n",
       "10             24.0               240.0           15.0             150.0   \n",
       "11             38.0               380.0           38.0             380.0   \n",
       "12           3439.0             34390.0         3350.0           33500.0   \n",
       "13           1113.0             11130.0          902.0            9020.0   \n",
       "14            665.0              6650.0          651.0            6510.0   \n",
       "15              NaN                 NaN            NaN               NaN   \n",
       "16            110.0              1100.0           76.0             760.0   \n",
       "17             40.0               400.0           35.0             350.0   \n",
       "18            738.0              7380.0          190.0            1900.0   \n",
       "19              NaN                 NaN            NaN               NaN   \n",
       "20             31.0               310.0           28.0             280.0   \n",
       "21            842.0              8420.0          324.0            3240.0   \n",
       "22             45.0               450.0           45.0             450.0   \n",
       "23              NaN                 NaN            NaN               NaN   \n",
       "24              NaN                 NaN            NaN               NaN   \n",
       "\n",
       "    totalvisits  captures  maxheldduration  totalheldduration  \n",
       "0            19        23             3304              13685  \n",
       "1            42        67            16913              33999  \n",
       "2            21        21            18329              31452  \n",
       "3            15        13            23237              42973  \n",
       "4            15         9             3756               8980  \n",
       "5            19        16            23180              44169  \n",
       "6            17        20            22971              49590  \n",
       "7            19        18            28498              40416  \n",
       "8            15        21            46380              61707  \n",
       "9            13        10            44313              61044  \n",
       "10           24        22             3483               7007  \n",
       "11           21        30             1394               7426  \n",
       "12           12        11             7694               9251  \n",
       "13            9         6             1782               5286  \n",
       "14            7         5             1969               2798  \n",
       "15           18        17            36261              51151  \n",
       "16           28        28            18829              27990  \n",
       "17           23        47             3386               9763  \n",
       "18           18        17             5316              12688  \n",
       "19            9         7             1258               3667  \n",
       "20           16        13              993               4427  \n",
       "21            8         5             7753              16419  \n",
       "22            7         6             1096               2251  \n",
       "23            5         4             3365               6215  \n",
       "24            1         1               91                 91  "
      ],
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>mapx</th>\n",
       "      <th>mapy</th>\n",
       "      <th>first_visit</th>\n",
       "      <th>total_score</th>\n",
       "      <th>totalboostscore</th>\n",
       "      <th>totalboostduration</th>\n",
       "      <th>maxboostscore</th>\n",
       "      <th>maxboostduration</th>\n",
       "      <th>totalvisits</th>\n",
       "      <th>captures</th>\n",
       "      <th>maxheldduration</th>\n",
       "      <th>totalheldduration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Info Desk</td>\n",
       "      <td>216</td>\n",
       "      <td>505</td>\n",
       "      <td>2025-08-08 20:14:00</td>\n",
       "      <td>17026</td>\n",
       "      <td>2341.0</td>\n",
       "      <td>23410.0</td>\n",
       "      <td>2262.0</td>\n",
       "      <td>22620.0</td>\n",
       "      <td>19</td>\n",
       "      <td>23</td>\n",
       "      <td>3304</td>\n",
       "      <td>13685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Main Bar</td>\n",
       "      <td>190</td>\n",
       "      <td>570</td>\n",
       "      <td>2025-08-08 20:22:00</td>\n",
       "      <td>36884</td>\n",
       "      <td>735.0</td>\n",
       "      <td>7350.0</td>\n",
       "      <td>537.0</td>\n",
       "      <td>5370.0</td>\n",
       "      <td>42</td>\n",
       "      <td>67</td>\n",
       "      <td>16913</td>\n",
       "      <td>33999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Badge Tent</td>\n",
       "      <td>328</td>\n",
       "      <td>607</td>\n",
       "      <td>2025-08-08 20:23:00</td>\n",
       "      <td>32599</td>\n",
       "      <td>47.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>18329</td>\n",
       "      <td>31452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CoderDojo Belgium</td>\n",
       "      <td>34</td>\n",
       "      <td>523</td>\n",
       "      <td>2025-08-08 21:39:00</td>\n",
       "      <td>44374</td>\n",
       "      <td>101.0</td>\n",
       "      <td>1010.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>1010.0</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>23237</td>\n",
       "      <td>42973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Heaven</td>\n",
       "      <td>183</td>\n",
       "      <td>227</td>\n",
       "      <td>2025-08-08 21:46:00</td>\n",
       "      <td>10057</td>\n",
       "      <td>277.0</td>\n",
       "      <td>2770.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1250.0</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>3756</td>\n",
       "      <td>8980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Karaoke Bar</td>\n",
       "      <td>292</td>\n",
       "      <td>446</td>\n",
       "      <td>2025-08-08 21:55:00</td>\n",
       "      <td>45272</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1030.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>19</td>\n",
       "      <td>16</td>\n",
       "      <td>23180</td>\n",
       "      <td>44169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Cold North</td>\n",
       "      <td>305</td>\n",
       "      <td>402</td>\n",
       "      <td>2025-08-08 21:56:00</td>\n",
       "      <td>50757</td>\n",
       "      <td>267.0</td>\n",
       "      <td>2670.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>1420.0</td>\n",
       "      <td>17</td>\n",
       "      <td>20</td>\n",
       "      <td>22971</td>\n",
       "      <td>49590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Entrance Arch</td>\n",
       "      <td>240</td>\n",
       "      <td>916</td>\n",
       "      <td>2025-08-08 22:10:00</td>\n",
       "      <td>41486</td>\n",
       "      <td>70.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>19</td>\n",
       "      <td>18</td>\n",
       "      <td>28498</td>\n",
       "      <td>40416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Site Sign</td>\n",
       "      <td>207</td>\n",
       "      <td>874</td>\n",
       "      <td>2025-08-08 22:12:00</td>\n",
       "      <td>63688</td>\n",
       "      <td>681.0</td>\n",
       "      <td>6810.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>15</td>\n",
       "      <td>21</td>\n",
       "      <td>46380</td>\n",
       "      <td>61707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Maker Days Eindhoven</td>\n",
       "      <td>115</td>\n",
       "      <td>749</td>\n",
       "      <td>2025-08-08 22:28:00</td>\n",
       "      <td>62440</td>\n",
       "      <td>696.0</td>\n",
       "      <td>6960.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>2840.0</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>44313</td>\n",
       "      <td>61044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Adyen</td>\n",
       "      <td>120</td>\n",
       "      <td>637</td>\n",
       "      <td>2025-08-08 22:34:00</td>\n",
       "      <td>8281</td>\n",
       "      <td>24.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>24</td>\n",
       "      <td>22</td>\n",
       "      <td>3483</td>\n",
       "      <td>7007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Chaos Mauldasch</td>\n",
       "      <td>164</td>\n",
       "      <td>635</td>\n",
       "      <td>2025-08-08 22:37:00</td>\n",
       "      <td>8564</td>\n",
       "      <td>38.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>21</td>\n",
       "      <td>30</td>\n",
       "      <td>1394</td>\n",
       "      <td>7426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Party Bar</td>\n",
       "      <td>67</td>\n",
       "      <td>289</td>\n",
       "      <td>2025-08-08 22:54:00</td>\n",
       "      <td>13340</td>\n",
       "      <td>3439.0</td>\n",
       "      <td>34390.0</td>\n",
       "      <td>3350.0</td>\n",
       "      <td>33500.0</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>7694</td>\n",
       "      <td>9251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Geraffel</td>\n",
       "      <td>188</td>\n",
       "      <td>166</td>\n",
       "      <td>2025-08-08 23:03:00</td>\n",
       "      <td>6899</td>\n",
       "      <td>1113.0</td>\n",
       "      <td>11130.0</td>\n",
       "      <td>902.0</td>\n",
       "      <td>9020.0</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>1782</td>\n",
       "      <td>5286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>FALSE</td>\n",
       "      <td>163</td>\n",
       "      <td>425</td>\n",
       "      <td>2025-08-08 23:17:00</td>\n",
       "      <td>3863</td>\n",
       "      <td>665.0</td>\n",
       "      <td>6650.0</td>\n",
       "      <td>651.0</td>\n",
       "      <td>6510.0</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1969</td>\n",
       "      <td>2798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Pixelbar</td>\n",
       "      <td>379</td>\n",
       "      <td>602</td>\n",
       "      <td>2025-08-09 00:42:00</td>\n",
       "      <td>52601</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18</td>\n",
       "      <td>17</td>\n",
       "      <td>36261</td>\n",
       "      <td>51151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bridge over troubled waters</td>\n",
       "      <td>251</td>\n",
       "      <td>553</td>\n",
       "      <td>2025-08-09 02:28:00</td>\n",
       "      <td>29550</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>18829</td>\n",
       "      <td>27990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Milliways</td>\n",
       "      <td>95</td>\n",
       "      <td>498</td>\n",
       "      <td>2025-08-09 17:07:00</td>\n",
       "      <td>11003</td>\n",
       "      <td>40.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>23</td>\n",
       "      <td>47</td>\n",
       "      <td>3386</td>\n",
       "      <td>9763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>PolyGen Home Base</td>\n",
       "      <td>322</td>\n",
       "      <td>591</td>\n",
       "      <td>2025-08-09 17:52:00</td>\n",
       "      <td>14376</td>\n",
       "      <td>738.0</td>\n",
       "      <td>7380.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>18</td>\n",
       "      <td>17</td>\n",
       "      <td>5316</td>\n",
       "      <td>12688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Rose Island Italian Embassy</td>\n",
       "      <td>41</td>\n",
       "      <td>475</td>\n",
       "      <td>2025-08-10 04:12:00</td>\n",
       "      <td>4167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>1258</td>\n",
       "      <td>3667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Food Hacking Base</td>\n",
       "      <td>119</td>\n",
       "      <td>571</td>\n",
       "      <td>2025-08-10 18:31:00</td>\n",
       "      <td>5308</td>\n",
       "      <td>31.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>993</td>\n",
       "      <td>4427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>BornHack</td>\n",
       "      <td>82</td>\n",
       "      <td>337</td>\n",
       "      <td>2025-08-10 19:51:00</td>\n",
       "      <td>17711</td>\n",
       "      <td>842.0</td>\n",
       "      <td>8420.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>3240.0</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>7753</td>\n",
       "      <td>16419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Matrix</td>\n",
       "      <td>164</td>\n",
       "      <td>731</td>\n",
       "      <td>2025-08-11 15:33:00</td>\n",
       "      <td>2696</td>\n",
       "      <td>45.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>1096</td>\n",
       "      <td>2251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Tilde Industries</td>\n",
       "      <td>361</td>\n",
       "      <td>468</td>\n",
       "      <td>2025-08-11 17:42:00</td>\n",
       "      <td>6515</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3365</td>\n",
       "      <td>6215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0E</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2025-08-12 13:32:00</td>\n",
       "      <td>191</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-26T16:52:18.164994Z",
     "start_time": "2025-08-26T16:51:56.837699Z"
    }
   },
   "cell_type": "code",
   "source": [
    "vinzenz_seconds = generate_score_per_second(vinzenz_score_log)\n",
    "fiebertrauma_seconds = generate_score_per_second(fiebertrauma_score_log)\n",
    "fiebertrauma_seconds"
   ],
   "id": "8ae2f950e617a433",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "                        name    sourcename                when  score   once  \\\n",
       "0                  Info Desk   First Visit 2025-08-08 20:58:00  100.0   True   \n",
       "1                  Info Desk       Capture 2025-08-08 20:58:30    1.0  False   \n",
       "2                  Info Desk       Capture 2025-08-08 20:58:31    1.0  False   \n",
       "3                  Info Desk       Capture 2025-08-08 20:58:32    1.0  False   \n",
       "4                  Info Desk       Capture 2025-08-08 20:58:33    1.0  False   \n",
       "...                      ...           ...                 ...    ...    ...   \n",
       "595503     CoderDojo Belgium       Capture 2025-08-12 14:00:00    1.0  False   \n",
       "595504              BornHack  Output Boost 2025-08-12 14:00:00    0.1  False   \n",
       "595505                    0E       Capture 2025-08-12 14:00:00    1.0  False   \n",
       "595506  Maker Days Eindhoven  Output Boost 2025-08-12 14:00:00    0.1  False   \n",
       "595507         Entrance Arch       Capture 2025-08-12 14:00:00    1.0  False   \n",
       "\n",
       "        mapx  mapy  accumulated_score  \n",
       "0        216   505         100.000000  \n",
       "1        216   505         101.000000  \n",
       "2        216   505         102.000000  \n",
       "3        216   505         103.000000  \n",
       "4        216   505         104.000000  \n",
       "...      ...   ...                ...  \n",
       "595503    34   523      551530.799999  \n",
       "595504    82   337      551530.899999  \n",
       "595505     0     0      551531.899999  \n",
       "595506   115   749      551531.999999  \n",
       "595507   240   916      551532.999999  \n",
       "\n",
       "[595508 rows x 8 columns]"
      ],
      "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>name</th>\n",
       "      <th>sourcename</th>\n",
       "      <th>when</th>\n",
       "      <th>score</th>\n",
       "      <th>once</th>\n",
       "      <th>mapx</th>\n",
       "      <th>mapy</th>\n",
       "      <th>accumulated_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Info Desk</td>\n",
       "      <td>First Visit</td>\n",
       "      <td>2025-08-08 20:58:00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>True</td>\n",
       "      <td>216</td>\n",
       "      <td>505</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Info Desk</td>\n",
       "      <td>Capture</td>\n",
       "      <td>2025-08-08 20:58:30</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>216</td>\n",
       "      <td>505</td>\n",
       "      <td>101.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Info Desk</td>\n",
       "      <td>Capture</td>\n",
       "      <td>2025-08-08 20:58:31</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>216</td>\n",
       "      <td>505</td>\n",
       "      <td>102.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Info Desk</td>\n",
       "      <td>Capture</td>\n",
       "      <td>2025-08-08 20:58:32</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>216</td>\n",
       "      <td>505</td>\n",
       "      <td>103.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Info Desk</td>\n",
       "      <td>Capture</td>\n",
       "      <td>2025-08-08 20:58:33</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>216</td>\n",
       "      <td>505</td>\n",
       "      <td>104.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595503</th>\n",
       "      <td>CoderDojo Belgium</td>\n",
       "      <td>Capture</td>\n",
       "      <td>2025-08-12 14:00:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>34</td>\n",
       "      <td>523</td>\n",
       "      <td>551530.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595504</th>\n",
       "      <td>BornHack</td>\n",
       "      <td>Output Boost</td>\n",
       "      <td>2025-08-12 14:00:00</td>\n",
       "      <td>0.1</td>\n",
       "      <td>False</td>\n",
       "      <td>82</td>\n",
       "      <td>337</td>\n",
       "      <td>551530.899999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595505</th>\n",
       "      <td>0E</td>\n",
       "      <td>Capture</td>\n",
       "      <td>2025-08-12 14:00:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>551531.899999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595506</th>\n",
       "      <td>Maker Days Eindhoven</td>\n",
       "      <td>Output Boost</td>\n",
       "      <td>2025-08-12 14:00:00</td>\n",
       "      <td>0.1</td>\n",
       "      <td>False</td>\n",
       "      <td>115</td>\n",
       "      <td>749</td>\n",
       "      <td>551531.999999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595507</th>\n",
       "      <td>Entrance Arch</td>\n",
       "      <td>Capture</td>\n",
       "      <td>2025-08-12 14:00:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>240</td>\n",
       "      <td>916</td>\n",
       "      <td>551532.999999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>595508 rows × 8 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-26T16:52:19.761484Z",
     "start_time": "2025-08-26T16:52:18.991457Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from matplotlib import dates\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot('when', 'accumulated_score', data=vinzenz_seconds, label='vinzenz (seconds)')\n",
    "ax.plot('when', 'accumulated_score', data=fiebertrauma_seconds, label='Fiebertrauma (seconds)')\n",
    "ax.plot('when', 'accumulated_score', data=vinzenz_score_log, label='vinzenz (scorelog)')\n",
    "ax.plot('when', 'accumulated_score', data=fiebertrauma_score_log, label='Fiebertrauma (scorelog)')\n",
    "\n",
    "ax.xaxis.set_major_locator(dates.DayLocator(interval=1))    # every day\n",
    "ax.xaxis.set_major_formatter(dates.DateFormatter('\\n%d-%m-%Y'))\n",
    "plt.title('Accumulated Score')\n",
    "plt.legend()\n",
    "plt.show()"
   ],
   "id": "526448f50cefdb2d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 4
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}