549 lines
110 KiB
Text
549 lines
110 KiB
Text
{
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"cells": [
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-08-26T17:26:53.275056Z",
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"start_time": "2025-08-26T17:26:52.844958Z"
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}
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},
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"source": [
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"from datetime import datetime\n",
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"\n",
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"import pandas\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"from foo import *"
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],
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"outputs": [],
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"execution_count": 1
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-08-26T17:26:53.369749Z",
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"start_time": "2025-08-26T17:26:53.282888Z"
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}
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},
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"cell_type": "code",
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"source": [
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"vinzenz_score_log = load_score_log('PolyGenStats-vinzenz-scorelog.csv')\n",
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"extend_score_log(vinzenz_score_log)\n",
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"vinzenz_summary = generate_station_stats(vinzenz_score_log)\n",
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"\n",
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"fiebertrauma_score_log = load_score_log('PolyGenStats-Fiebertrauma-scorelog.csv')\n",
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"extend_score_log(fiebertrauma_score_log)\n",
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"fiebertrauma_summary = generate_station_stats(fiebertrauma_score_log)\n",
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"\n",
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"vinzenz_score_log"
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],
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"id": "bf523274efb801dd",
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"outputs": [
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{
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"data": {
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"text/plain": [
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" when score sourcename name mapx \\\n",
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"0 2025-08-08 20:14:00 100 First Visit Info Desk 216 \n",
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"1 2025-08-08 20:19:00 282 Capture Info Desk 216 \n",
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"2 2025-08-08 20:20:00 58 Capture Info Desk 216 \n",
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"3 2025-08-08 20:22:00 100 First Visit Main Bar 190 \n",
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"4 2025-08-08 20:23:00 100 First Visit Badge Tent 328 \n",
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".. ... ... ... ... ... \n",
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"896 2025-08-12 13:34:00 91 Capture 0E 0 \n",
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"897 2025-08-12 13:39:00 50 Visit Pixelbar 379 \n",
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"898 2025-08-12 13:42:00 164 Output Boost Site Sign 207 \n",
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"899 2025-08-12 13:50:00 694 Capture Pixelbar 379 \n",
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"900 2025-08-12 14:00:00 284 Output Boost Maker Days Eindhoven 115 \n",
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"\n",
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" mapy accumulated_score seconds when_start \n",
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"0 505 100.0 0 2025-08-08 20:14:00 \n",
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"1 505 382.0 282 2025-08-08 20:14:18 \n",
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"2 505 440.0 58 2025-08-08 20:19:02 \n",
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"3 570 540.0 0 2025-08-08 20:22:00 \n",
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"4 607 640.0 0 2025-08-08 20:23:00 \n",
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".. ... ... ... ... \n",
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"896 0 588456.0 91 2025-08-12 13:32:29 \n",
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"897 602 588506.0 0 2025-08-12 13:39:00 \n",
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"898 874 588670.0 1640 2025-08-12 13:14:40 \n",
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"899 602 589364.0 694 2025-08-12 13:38:26 \n",
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"900 749 589648.0 2840 2025-08-12 13:12:40 \n",
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"\n",
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"[901 rows x 9 columns]"
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],
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>when</th>\n",
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" <th>score</th>\n",
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" <th>sourcename</th>\n",
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" <th>name</th>\n",
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" <th>mapx</th>\n",
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" <th>mapy</th>\n",
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" <th>accumulated_score</th>\n",
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" <th>seconds</th>\n",
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" <th>when_start</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>2025-08-08 20:14:00</td>\n",
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" <td>100</td>\n",
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" <td>First Visit</td>\n",
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" <td>Info Desk</td>\n",
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" <td>216</td>\n",
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" <td>505</td>\n",
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" <td>100.0</td>\n",
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" <td>0</td>\n",
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" <td>2025-08-08 20:14:00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>2025-08-08 20:19:00</td>\n",
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" <td>282</td>\n",
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" <td>Capture</td>\n",
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" <td>Info Desk</td>\n",
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" <td>216</td>\n",
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" <td>505</td>\n",
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" <td>382.0</td>\n",
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" <td>282</td>\n",
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" <td>2025-08-08 20:14:18</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>2025-08-08 20:20:00</td>\n",
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" <td>58</td>\n",
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" <td>Capture</td>\n",
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" <td>Info Desk</td>\n",
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" <td>216</td>\n",
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" <td>505</td>\n",
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" <td>440.0</td>\n",
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" <td>58</td>\n",
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" <td>2025-08-08 20:19:02</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>2025-08-08 20:22:00</td>\n",
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" <td>100</td>\n",
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" <td>First Visit</td>\n",
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" <td>Main Bar</td>\n",
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" <td>190</td>\n",
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" <td>570</td>\n",
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" <td>540.0</td>\n",
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" <td>0</td>\n",
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" <td>2025-08-08 20:22:00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>2025-08-08 20:23:00</td>\n",
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" <td>100</td>\n",
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" <td>First Visit</td>\n",
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" <td>Badge Tent</td>\n",
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" <td>328</td>\n",
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" <td>607</td>\n",
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" <td>640.0</td>\n",
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" <td>0</td>\n",
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" <td>2025-08-08 20:23:00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>896</th>\n",
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" <td>2025-08-12 13:34:00</td>\n",
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" <td>91</td>\n",
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" <td>Capture</td>\n",
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" <td>0E</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>588456.0</td>\n",
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" <td>91</td>\n",
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" <td>2025-08-12 13:32:29</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>897</th>\n",
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" <td>2025-08-12 13:39:00</td>\n",
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" <td>50</td>\n",
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" <td>Visit</td>\n",
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" <td>Pixelbar</td>\n",
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" <td>379</td>\n",
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" <td>602</td>\n",
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" <td>588506.0</td>\n",
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" <td>0</td>\n",
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" <td>2025-08-12 13:39:00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>898</th>\n",
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" <td>2025-08-12 13:42:00</td>\n",
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" <td>164</td>\n",
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" <td>Output Boost</td>\n",
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" <td>Site Sign</td>\n",
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" <td>207</td>\n",
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" <td>874</td>\n",
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" <td>588670.0</td>\n",
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" <td>1640</td>\n",
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" <td>2025-08-12 13:14:40</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>899</th>\n",
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" <td>2025-08-12 13:50:00</td>\n",
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" <td>694</td>\n",
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" <td>Capture</td>\n",
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" <td>Pixelbar</td>\n",
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" <td>379</td>\n",
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" <td>602</td>\n",
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" <td>589364.0</td>\n",
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" <td>694</td>\n",
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" <td>2025-08-12 13:38:26</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>900</th>\n",
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" <td>2025-08-12 14:00:00</td>\n",
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" <td>284</td>\n",
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" <td>Output Boost</td>\n",
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" <td>Maker Days Eindhoven</td>\n",
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" <td>115</td>\n",
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" <td>749</td>\n",
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" <td>589648.0</td>\n",
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" <td>2840</td>\n",
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" <td>2025-08-12 13:12:40</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>901 rows × 9 columns</p>\n",
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"</div>"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"execution_count": 2
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-08-26T17:27:16.630449Z",
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"start_time": "2025-08-26T17:26:53.451012Z"
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}
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},
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"cell_type": "code",
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"source": [
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"vinzenz_seconds = generate_score_per_second(vinzenz_score_log)\n",
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"fiebertrauma_seconds = generate_score_per_second(fiebertrauma_score_log)"
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],
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"id": "8ae2f950e617a433",
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"outputs": [],
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"execution_count": 3
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-08-26T17:27:18.143768Z",
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"start_time": "2025-08-26T17:27:16.758828Z"
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}
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},
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"cell_type": "code",
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"source": [
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"from matplotlib import dates\n",
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"\n",
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"fig, ax = plt.subplots()\n",
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"ax.plot('when', 'accumulated_score', data=vinzenz_seconds, label='vinzenz (seconds)')\n",
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"ax.plot('when', 'accumulated_score', data=fiebertrauma_seconds, label='Fiebertrauma (seconds)')\n",
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"ax.plot('when', 'accumulated_score', data=vinzenz_score_log, label='vinzenz (scorelog)')\n",
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"ax.plot('when', 'accumulated_score', data=fiebertrauma_score_log, label='Fiebertrauma (scorelog)')\n",
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"\n",
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"ax.xaxis.set_major_locator(dates.DayLocator(interval=1)) # every day\n",
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"ax.xaxis.set_major_formatter(dates.DateFormatter('\\n%d-%m-%Y'))\n",
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"plt.title('Accumulated Score')\n",
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"plt.legend()\n",
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"plt.show()"
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],
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"id": "526448f50cefdb2d",
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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],
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"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"execution_count": 4
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-08-26T17:34:42.085903Z",
|
||
"start_time": "2025-08-26T17:34:41.938550Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"# TODO: add correctly cropped map as background\n",
|
||
"plt.scatter('mapx', 'mapy', data=vinzenz_summary[vinzenz_summary['mapx'] != 0])\n",
|
||
"plt.title('Map positions of reactors')\n",
|
||
"plt.show()"
|
||
],
|
||
"id": "289a43ccda7019c5",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"execution_count": 10
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-08-26T17:37:49.967970Z",
|
||
"start_time": "2025-08-26T17:37:49.847008Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"plt.hist2d('mapx', 'mapy', weights='score', data=vinzenz_score_log, bins=60)\n",
|
||
"plt.show()"
|
||
],
|
||
"id": "fc5665ca0516e573",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"execution_count": 13
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-08-26T17:45:49.163528Z",
|
||
"start_time": "2025-08-26T17:45:49.101180Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"def gen_locations(score_log):\n",
|
||
" locations = score_log[['name', 'when_start', 'mapx', 'mapy']].copy()\n",
|
||
" locations.sort_values(by=['when_start'], inplace=True)\n",
|
||
" locations.reset_index(drop=True, inplace=True)\n",
|
||
" return locations\n",
|
||
"\n",
|
||
"vinzenz_locations = gen_locations(vinzenz_score_log)\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"vinzenz_locations\n"
|
||
],
|
||
"id": "37230b3a63ab6a2",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
" name when_start mapx mapy\n",
|
||
"0 Info Desk 2025-08-08 20:14:00 216 505\n",
|
||
"1 Info Desk 2025-08-08 20:14:18 216 505\n",
|
||
"2 Info Desk 2025-08-08 20:19:02 216 505\n",
|
||
"3 Info Desk 2025-08-08 20:20:57 216 505\n",
|
||
"4 Main Bar 2025-08-08 20:22:00 190 570\n",
|
||
".. ... ... ... ...\n",
|
||
"896 Site Sign 2025-08-12 13:15:00 207 874\n",
|
||
"897 0E 2025-08-12 13:32:00 0 0\n",
|
||
"898 0E 2025-08-12 13:32:29 0 0\n",
|
||
"899 Pixelbar 2025-08-12 13:38:26 379 602\n",
|
||
"900 Pixelbar 2025-08-12 13:39:00 379 602\n",
|
||
"\n",
|
||
"[901 rows x 4 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>when_start</th>\n",
|
||
" <th>mapx</th>\n",
|
||
" <th>mapy</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Info Desk</td>\n",
|
||
" <td>2025-08-08 20:14:00</td>\n",
|
||
" <td>216</td>\n",
|
||
" <td>505</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Info Desk</td>\n",
|
||
" <td>2025-08-08 20:14:18</td>\n",
|
||
" <td>216</td>\n",
|
||
" <td>505</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Info Desk</td>\n",
|
||
" <td>2025-08-08 20:19:02</td>\n",
|
||
" <td>216</td>\n",
|
||
" <td>505</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>Info Desk</td>\n",
|
||
" <td>2025-08-08 20:20:57</td>\n",
|
||
" <td>216</td>\n",
|
||
" <td>505</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Main Bar</td>\n",
|
||
" <td>2025-08-08 20:22:00</td>\n",
|
||
" <td>190</td>\n",
|
||
" <td>570</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>896</th>\n",
|
||
" <td>Site Sign</td>\n",
|
||
" <td>2025-08-12 13:15:00</td>\n",
|
||
" <td>207</td>\n",
|
||
" <td>874</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>897</th>\n",
|
||
" <td>0E</td>\n",
|
||
" <td>2025-08-12 13:32:00</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>898</th>\n",
|
||
" <td>0E</td>\n",
|
||
" <td>2025-08-12 13:32:29</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>899</th>\n",
|
||
" <td>Pixelbar</td>\n",
|
||
" <td>2025-08-12 13:38:26</td>\n",
|
||
" <td>379</td>\n",
|
||
" <td>602</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>900</th>\n",
|
||
" <td>Pixelbar</td>\n",
|
||
" <td>2025-08-12 13:39:00</td>\n",
|
||
" <td>379</td>\n",
|
||
" <td>602</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>901 rows × 4 columns</p>\n",
|
||
"</div>"
|
||
]
|
||
},
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 21
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "code",
|
||
"outputs": [],
|
||
"execution_count": null,
|
||
"source": "# TODO add sleep times to location data",
|
||
"id": "741931f39b0c5d12"
|
||
}
|
||
],
|
||
"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
|
||
}
|