2025-10-19 00:23:17 -05:00
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{
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"cells": [
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{
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"cell_type": "code",
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2025-10-19 00:44:42 -05:00
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"execution_count": 44,
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2025-10-19 00:23:17 -05:00
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"id": "9a9714f8",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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2025-10-19 00:44:42 -05:00
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"logger WARNING \tFailed to load schedule from FastF1 backend!\n",
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"req INFO \tUsing cached data for season_schedule\n",
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"req INFO \tUsing cached data for season_schedule\n",
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2025-10-19 00:23:17 -05:00
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"core INFO \tLoading data for Italian Grand Prix - Race [v3.6.1]\n",
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"req INFO \tUsing cached data for session_info\n",
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"req INFO \tUsing cached data for driver_info\n",
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2025-10-19 00:44:42 -05:00
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"core INFO \tLoading data for Italian Grand Prix - Race [v3.6.1]\n",
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2025-10-19 00:23:17 -05:00
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"req INFO \tUsing cached data for session_info\n",
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"req INFO \tUsing cached data for driver_info\n",
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"req INFO \tUsing cached data for session_status_data\n",
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"req INFO \tUsing cached data for lap_count\n",
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"req INFO \tUsing cached data for track_status_data\n",
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"req INFO \tUsing cached data for session_status_data\n",
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"req INFO \tUsing cached data for lap_count\n",
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"req INFO \tUsing cached data for track_status_data\n",
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"req INFO \tUsing cached data for _extended_timing_data\n",
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"req INFO \tUsing cached data for timing_app_data\n",
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"core INFO \tProcessing timing data...\n",
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"req INFO \tUsing cached data for _extended_timing_data\n",
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"req INFO \tUsing cached data for timing_app_data\n",
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"core INFO \tProcessing timing data...\n",
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"req INFO \tUsing cached data for car_data\n",
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"req INFO \tUsing cached data for car_data\n",
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"req INFO \tUsing cached data for position_data\n",
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"req INFO \tUsing cached data for position_data\n",
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"req INFO \tUsing cached data for weather_data\n",
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"req INFO \tUsing cached data for race_control_messages\n",
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"core WARNING \tDriver 55 completed the race distance 06:14.695000 before the recorded end of the session.\n",
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2025-10-19 00:44:42 -05:00
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"core WARNING \tDriver 4 completed the race distance 05:40.439000 before the recorded end of the session.\n",
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2025-10-19 00:23:17 -05:00
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"core WARNING \tDriver 44 completed the race distance 05:48.209000 before the recorded end of the session.\n",
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2025-10-19 00:44:42 -05:00
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"core WARNING \tDriver 16 completed the race distance 06:14.511000 before the recorded end of the session.\n",
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"core WARNING \tDriver 1 completed the race distance 06:25.888000 before the recorded end of the session.\n",
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2025-10-19 00:23:17 -05:00
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"req INFO \tUsing cached data for weather_data\n",
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"req INFO \tUsing cached data for race_control_messages\n",
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"core WARNING \tDriver 55 completed the race distance 06:14.695000 before the recorded end of the session.\n",
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2025-10-19 00:44:42 -05:00
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"core WARNING \tDriver 4 completed the race distance 05:40.439000 before the recorded end of the session.\n",
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2025-10-19 00:23:17 -05:00
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"core WARNING \tDriver 44 completed the race distance 05:48.209000 before the recorded end of the session.\n",
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2025-10-19 00:44:42 -05:00
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"core WARNING \tDriver 16 completed the race distance 06:14.511000 before the recorded end of the session.\n",
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"core WARNING \tDriver 1 completed the race distance 06:25.888000 before the recorded end of the session.\n",
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"core WARNING \tDriver 11 completed the race distance 06:19.824000 before the recorded end of the session.\n",
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"core WARNING \tDriver 11 completed the race distance 06:19.824000 before the recorded end of the session.\n",
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2025-10-19 00:23:17 -05:00
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"core WARNING \tDriver 23 completed the race distance 05:40.782000 before the recorded end of the session.\n",
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"core WARNING \tDriver 23 completed the race distance 05:40.782000 before the recorded end of the session.\n",
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"core WARNING \tDriver 14 completed the race distance 05:39.594000 before the recorded end of the session.\n",
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2025-10-19 00:44:42 -05:00
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"core WARNING \tDriver 63 completed the race distance 06:07.860000 before the recorded end of the session.\n",
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"core WARNING \tDriver 14 completed the race distance 05:39.594000 before the recorded end of the session.\n",
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"core WARNING \tDriver 63 completed the race distance 06:07.860000 before the recorded end of the session.\n",
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"core INFO \tFinished loading data for 20 drivers: ['55', '4', '44', '16', '1', '10', '81', '11', '40', '20', '23', '24', '27', '2', '14', '63', '77', '31', '22', '18']\n",
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"core INFO \tFinished loading data for 20 drivers: ['55', '4', '44', '16', '1', '10', '81', '11', '40', '20', '23', '24', '27', '2', '14', '63', '77', '31', '22', '18']\n"
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2025-10-19 00:23:17 -05:00
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Created dataframe with 16584 rows\n",
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"Total laps in race: 51.0\n",
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"Laps covered: 1.0 to 51.0\n",
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"Tire life range: 1.0 to 33.0 laps\n"
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]
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},
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{
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"data": {
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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>lap_number</th>\n",
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" <th>total_laps</th>\n",
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" <th>speed</th>\n",
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" <th>overall_time</th>\n",
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" <th>throttle</th>\n",
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" <th>brake</th>\n",
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" <th>tire_compound</th>\n",
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" <th>tire_life_laps</th>\n",
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" <th>track_temperature</th>\n",
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" <th>rainfall</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>1.0</td>\n",
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" <td>51.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0 days 01:22:21.734000</td>\n",
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" <td>23.0</td>\n",
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" <td>False</td>\n",
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" <td>MEDIUM</td>\n",
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" <td>1.0</td>\n",
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" <td>42.5</td>\n",
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" <td>False</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>1.0</td>\n",
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" <td>51.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0 days 01:22:21.894000</td>\n",
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" <td>23.0</td>\n",
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" <td>False</td>\n",
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" <td>MEDIUM</td>\n",
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" <td>1.0</td>\n",
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" <td>42.5</td>\n",
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" <td>False</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>1.0</td>\n",
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" <td>51.0</td>\n",
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" <td>4.0</td>\n",
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" <td>0 days 01:22:22.214000</td>\n",
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" <td>26.0</td>\n",
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" <td>False</td>\n",
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" <td>MEDIUM</td>\n",
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" <td>1.0</td>\n",
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" <td>42.5</td>\n",
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" <td>False</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>1.0</td>\n",
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" <td>51.0</td>\n",
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" <td>14.0</td>\n",
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" <td>0 days 01:22:22.494000</td>\n",
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" <td>24.0</td>\n",
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" <td>False</td>\n",
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" <td>MEDIUM</td>\n",
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" <td>1.0</td>\n",
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" <td>42.5</td>\n",
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" <td>False</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>1.0</td>\n",
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" <td>51.0</td>\n",
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" <td>24.0</td>\n",
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" <td>0 days 01:22:22.774000</td>\n",
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" <td>24.0</td>\n",
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" <td>False</td>\n",
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" <td>MEDIUM</td>\n",
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" <td>1.0</td>\n",
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" <td>42.5</td>\n",
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" <td>False</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>1.0</td>\n",
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" <td>51.0</td>\n",
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" <td>31.0</td>\n",
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" <td>0 days 01:22:22.974000</td>\n",
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" <td>26.0</td>\n",
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" <td>False</td>\n",
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" <td>MEDIUM</td>\n",
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" <td>1.0</td>\n",
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" <td>42.5</td>\n",
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" <td>False</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>1.0</td>\n",
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" <td>51.0</td>\n",
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" <td>38.0</td>\n",
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" <td>0 days 01:22:23.254000</td>\n",
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" <td>36.0</td>\n",
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" <td>False</td>\n",
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" <td>MEDIUM</td>\n",
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" <td>1.0</td>\n",
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" <td>42.5</td>\n",
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" <td>False</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>1.0</td>\n",
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" <td>51.0</td>\n",
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" <td>50.0</td>\n",
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" <td>0 days 01:22:23.494000</td>\n",
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" <td>41.0</td>\n",
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" <td>False</td>\n",
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" <td>MEDIUM</td>\n",
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" <td>1.0</td>\n",
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" <td>42.5</td>\n",
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" <td>False</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td>1.0</td>\n",
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" <td>51.0</td>\n",
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" <td>58.0</td>\n",
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" <td>0 days 01:22:23.694000</td>\n",
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" <td>44.0</td>\n",
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" <td>False</td>\n",
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" <td>MEDIUM</td>\n",
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" <td>1.0</td>\n",
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" <td>42.5</td>\n",
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" <td>False</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td>1.0</td>\n",
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" <td>51.0</td>\n",
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" <td>71.0</td>\n",
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" <td>0 days 01:22:23.974000</td>\n",
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" <td>55.0</td>\n",
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" <td>False</td>\n",
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" <td>MEDIUM</td>\n",
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" <td>1.0</td>\n",
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" <td>42.5</td>\n",
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" <td>False</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" lap_number total_laps speed overall_time throttle brake \\\n",
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"0 1.0 51.0 0.0 0 days 01:22:21.734000 23.0 False \n",
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"1 1.0 51.0 0.0 0 days 01:22:21.894000 23.0 False \n",
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"2 1.0 51.0 4.0 0 days 01:22:22.214000 26.0 False \n",
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"3 1.0 51.0 14.0 0 days 01:22:22.494000 24.0 False \n",
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"4 1.0 51.0 24.0 0 days 01:22:22.774000 24.0 False \n",
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"5 1.0 51.0 31.0 0 days 01:22:22.974000 26.0 False \n",
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"6 1.0 51.0 38.0 0 days 01:22:23.254000 36.0 False \n",
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"7 1.0 51.0 50.0 0 days 01:22:23.494000 41.0 False \n",
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"8 1.0 51.0 58.0 0 days 01:22:23.694000 44.0 False \n",
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"9 1.0 51.0 71.0 0 days 01:22:23.974000 55.0 False \n",
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"\n",
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" tire_compound tire_life_laps track_temperature rainfall \n",
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"0 MEDIUM 1.0 42.5 False \n",
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"1 MEDIUM 1.0 42.5 False \n",
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"2 MEDIUM 1.0 42.5 False \n",
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"3 MEDIUM 1.0 42.5 False \n",
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"4 MEDIUM 1.0 42.5 False \n",
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"5 MEDIUM 1.0 42.5 False \n",
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"6 MEDIUM 1.0 42.5 False \n",
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"7 MEDIUM 1.0 42.5 False \n",
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|
|
|
|
"8 MEDIUM 1.0 42.5 False \n",
|
|
|
|
|
"9 MEDIUM 1.0 42.5 False "
|
|
|
|
|
]
|
|
|
|
|
},
|
2025-10-19 00:44:42 -05:00
|
|
|
"execution_count": 44,
|
2025-10-19 00:23:17 -05:00
|
|
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"metadata": {},
|
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|
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|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
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|
|
"source": [
|
|
|
|
|
"\"\"\"\n",
|
|
|
|
|
"FastF1 Data Fetcher for HPC F1 AI Strategy System\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"Downloads telemetry and race data from a specific F1 session to simulate\n",
|
|
|
|
|
"live telemetry streaming from a Raspberry Pi \"racecar\" to the HPC layer.\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"Usage:\n",
|
|
|
|
|
" python fetch_race_data.py --year 2024 --race \"Monaco\" --driver VER --output data/\n",
|
|
|
|
|
"\"\"\"\n",
|
|
|
|
|
"import fastf1\n",
|
|
|
|
|
"import pandas as pd\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# 1. Load the session\n",
|
|
|
|
|
"session = fastf1.get_session(2023, 'Monza', 'R')\n",
|
|
|
|
|
"session.load(telemetry=True, laps=True, weather=True)\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# 2. Pick the driver\n",
|
|
|
|
|
"driver_laps = session.laps.pick_drivers('ALO')\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# Get total number of laps in the race (maximum lap number from all drivers)\n",
|
|
|
|
|
"total_laps = session.laps['LapNumber'].max()\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# 3. Collect all telemetry data with lap information\n",
|
|
|
|
|
"telemetry_list = []\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"for lap_idx in driver_laps.index:\n",
|
|
|
|
|
" lap = driver_laps.loc[lap_idx]\n",
|
|
|
|
|
" lap_number = lap['LapNumber']\n",
|
|
|
|
|
" tire_compound = lap['Compound']\n",
|
|
|
|
|
" tire_life = lap['TyreLife'] # Number of laps on current tires\n",
|
|
|
|
|
" \n",
|
|
|
|
|
" # Get telemetry for this lap\n",
|
|
|
|
|
" car_data = lap.get_car_data()\n",
|
|
|
|
|
" \n",
|
|
|
|
|
" if car_data is not None and len(car_data) > 0:\n",
|
|
|
|
|
" # Add lap number, tire compound, and tire life to each telemetry point\n",
|
|
|
|
|
" car_data['LapNumber'] = lap_number\n",
|
|
|
|
|
" car_data['Compound'] = tire_compound\n",
|
|
|
|
|
" car_data['TyreLife'] = tire_life\n",
|
|
|
|
|
" telemetry_list.append(car_data)\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# 4. Combine all telemetry data\n",
|
|
|
|
|
"all_telemetry = pd.concat(telemetry_list, ignore_index=True)\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# 5. Get weather data\n",
|
|
|
|
|
"weather = session.weather_data\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# 6. Merge telemetry with weather based on timestamp\n",
|
|
|
|
|
"# First, ensure both have SessionTime column\n",
|
|
|
|
|
"all_telemetry['SessionTime'] = pd.to_timedelta(all_telemetry['SessionTime'])\n",
|
|
|
|
|
"weather['SessionTime'] = pd.to_timedelta(weather['Time'])\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# Merge using merge_asof for time-based joining\n",
|
|
|
|
|
"all_telemetry = all_telemetry.sort_values('SessionTime')\n",
|
|
|
|
|
"weather = weather.sort_values('SessionTime')\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"merged_data = pd.merge_asof(\n",
|
|
|
|
|
" all_telemetry,\n",
|
|
|
|
|
" weather[['SessionTime', 'TrackTemp', 'Rainfall']],\n",
|
|
|
|
|
" on='SessionTime',\n",
|
|
|
|
|
" direction='nearest'\n",
|
|
|
|
|
")\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# 7. Create final dataframe with requested columns\n",
|
|
|
|
|
"final_df = pd.DataFrame({\n",
|
|
|
|
|
" 'lap_number': merged_data['LapNumber'],\n",
|
|
|
|
|
" 'total_laps': total_laps, # Total laps in the race\n",
|
|
|
|
|
" 'speed': merged_data['Speed'],\n",
|
|
|
|
|
" 'overall_time': merged_data['SessionTime'],\n",
|
|
|
|
|
" 'throttle': merged_data['Throttle'],\n",
|
|
|
|
|
" 'brake': merged_data['Brake'],\n",
|
|
|
|
|
" 'tire_compound': merged_data['Compound'],\n",
|
|
|
|
|
" 'tire_life_laps': merged_data['TyreLife'], # Number of laps on current tires\n",
|
|
|
|
|
" 'track_temperature': merged_data['TrackTemp'],\n",
|
|
|
|
|
" 'rainfall': merged_data['Rainfall']\n",
|
|
|
|
|
"})\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"print(f\"Created dataframe with {len(final_df)} rows\")\n",
|
|
|
|
|
"print(f\"Total laps in race: {total_laps}\")\n",
|
|
|
|
|
"print(f\"Laps covered: {final_df['lap_number'].min()} to {final_df['lap_number'].max()}\")\n",
|
|
|
|
|
"print(f\"Tire life range: {final_df['tire_life_laps'].min()} to {final_df['tire_life_laps'].max()} laps\")\n",
|
|
|
|
|
"final_df.head(10)\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2025-10-19 00:44:42 -05:00
|
|
|
"execution_count": 45,
|
2025-10-19 00:23:17 -05:00
|
|
|
"id": "45d27f05",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"Dataframe Info:\n",
|
|
|
|
|
"Total telemetry points: 16584\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"Column types:\n",
|
|
|
|
|
"lap_number float64\n",
|
|
|
|
|
"total_laps float64\n",
|
|
|
|
|
"speed float64\n",
|
|
|
|
|
"overall_time timedelta64[ns]\n",
|
|
|
|
|
"throttle float64\n",
|
|
|
|
|
"brake bool\n",
|
|
|
|
|
"tire_compound object\n",
|
|
|
|
|
"tire_life_laps float64\n",
|
|
|
|
|
"track_temperature float64\n",
|
|
|
|
|
"rainfall bool\n",
|
|
|
|
|
"dtype: object\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"Basic statistics:\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"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>lap_number</th>\n",
|
|
|
|
|
" <th>total_laps</th>\n",
|
|
|
|
|
" <th>speed</th>\n",
|
|
|
|
|
" <th>overall_time</th>\n",
|
|
|
|
|
" <th>throttle</th>\n",
|
|
|
|
|
" <th>tire_life_laps</th>\n",
|
|
|
|
|
" <th>track_temperature</th>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" </thead>\n",
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>count</th>\n",
|
|
|
|
|
" <td>16584.000000</td>\n",
|
|
|
|
|
" <td>16584.0</td>\n",
|
|
|
|
|
" <td>16584.000000</td>\n",
|
|
|
|
|
" <td>16584</td>\n",
|
|
|
|
|
" <td>16584.000000</td>\n",
|
|
|
|
|
" <td>16584.000000</td>\n",
|
|
|
|
|
" <td>16584.000000</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>mean</th>\n",
|
|
|
|
|
" <td>25.891341</td>\n",
|
|
|
|
|
" <td>51.0</td>\n",
|
|
|
|
|
" <td>235.570188</td>\n",
|
|
|
|
|
" <td>0 days 01:59:34.577446394</td>\n",
|
|
|
|
|
" <td>72.291546</td>\n",
|
|
|
|
|
" <td>15.339243</td>\n",
|
|
|
|
|
" <td>42.908816</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>std</th>\n",
|
|
|
|
|
" <td>14.710977</td>\n",
|
|
|
|
|
" <td>0.0</td>\n",
|
|
|
|
|
" <td>76.948906</td>\n",
|
|
|
|
|
" <td>0 days 00:21:30.065940875</td>\n",
|
|
|
|
|
" <td>40.561237</td>\n",
|
|
|
|
|
" <td>8.558018</td>\n",
|
|
|
|
|
" <td>0.897756</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>min</th>\n",
|
|
|
|
|
" <td>1.000000</td>\n",
|
|
|
|
|
" <td>51.0</td>\n",
|
|
|
|
|
" <td>0.000000</td>\n",
|
|
|
|
|
" <td>0 days 01:22:21.734000</td>\n",
|
|
|
|
|
" <td>0.000000</td>\n",
|
|
|
|
|
" <td>1.000000</td>\n",
|
|
|
|
|
" <td>40.800000</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>25%</th>\n",
|
|
|
|
|
" <td>13.000000</td>\n",
|
|
|
|
|
" <td>51.0</td>\n",
|
|
|
|
|
" <td>180.000000</td>\n",
|
|
|
|
|
" <td>0 days 01:40:53.558000</td>\n",
|
|
|
|
|
" <td>40.000000</td>\n",
|
|
|
|
|
" <td>8.000000</td>\n",
|
|
|
|
|
" <td>42.500000</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>50%</th>\n",
|
|
|
|
|
" <td>26.000000</td>\n",
|
|
|
|
|
" <td>51.0</td>\n",
|
|
|
|
|
" <td>245.000000</td>\n",
|
|
|
|
|
" <td>0 days 01:59:31.222000</td>\n",
|
|
|
|
|
" <td>100.000000</td>\n",
|
|
|
|
|
" <td>15.000000</td>\n",
|
|
|
|
|
" <td>43.100000</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>75%</th>\n",
|
|
|
|
|
" <td>39.000000</td>\n",
|
|
|
|
|
" <td>51.0</td>\n",
|
|
|
|
|
" <td>309.000000</td>\n",
|
|
|
|
|
" <td>0 days 02:18:13.365000</td>\n",
|
|
|
|
|
" <td>100.000000</td>\n",
|
|
|
|
|
" <td>21.000000</td>\n",
|
|
|
|
|
" <td>43.600000</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>max</th>\n",
|
|
|
|
|
" <td>51.000000</td>\n",
|
|
|
|
|
" <td>51.0</td>\n",
|
|
|
|
|
" <td>351.000000</td>\n",
|
|
|
|
|
" <td>0 days 02:36:49.228000</td>\n",
|
|
|
|
|
" <td>100.000000</td>\n",
|
|
|
|
|
" <td>33.000000</td>\n",
|
|
|
|
|
" <td>44.400000</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
"</table>\n",
|
|
|
|
|
"</div>"
|
|
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
" lap_number total_laps speed overall_time \\\n",
|
|
|
|
|
"count 16584.000000 16584.0 16584.000000 16584 \n",
|
|
|
|
|
"mean 25.891341 51.0 235.570188 0 days 01:59:34.577446394 \n",
|
|
|
|
|
"std 14.710977 0.0 76.948906 0 days 00:21:30.065940875 \n",
|
|
|
|
|
"min 1.000000 51.0 0.000000 0 days 01:22:21.734000 \n",
|
|
|
|
|
"25% 13.000000 51.0 180.000000 0 days 01:40:53.558000 \n",
|
|
|
|
|
"50% 26.000000 51.0 245.000000 0 days 01:59:31.222000 \n",
|
|
|
|
|
"75% 39.000000 51.0 309.000000 0 days 02:18:13.365000 \n",
|
|
|
|
|
"max 51.000000 51.0 351.000000 0 days 02:36:49.228000 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" throttle tire_life_laps track_temperature \n",
|
|
|
|
|
"count 16584.000000 16584.000000 16584.000000 \n",
|
|
|
|
|
"mean 72.291546 15.339243 42.908816 \n",
|
|
|
|
|
"std 40.561237 8.558018 0.897756 \n",
|
|
|
|
|
"min 0.000000 1.000000 40.800000 \n",
|
|
|
|
|
"25% 40.000000 8.000000 42.500000 \n",
|
|
|
|
|
"50% 100.000000 15.000000 43.100000 \n",
|
|
|
|
|
"75% 100.000000 21.000000 43.600000 \n",
|
|
|
|
|
"max 100.000000 33.000000 44.400000 "
|
|
|
|
|
]
|
|
|
|
|
},
|
2025-10-19 00:44:42 -05:00
|
|
|
"execution_count": 45,
|
2025-10-19 00:23:17 -05:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Display dataframe info and sample statistics\n",
|
|
|
|
|
"print(\"Dataframe Info:\")\n",
|
|
|
|
|
"print(f\"Total telemetry points: {len(final_df)}\")\n",
|
|
|
|
|
"print(f\"\\nColumn types:\")\n",
|
|
|
|
|
"print(final_df.dtypes)\n",
|
|
|
|
|
"print(f\"\\nBasic statistics:\")\n",
|
|
|
|
|
"final_df.describe()\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2025-10-19 00:44:42 -05:00
|
|
|
"execution_count": 46,
|
2025-10-19 00:23:17 -05:00
|
|
|
"id": "2fbcd2f9",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
2025-10-19 00:44:42 -05:00
|
|
|
"final_df.to_csv(\"ALONSO_2023_MONZA_RACE.csv\")"
|
2025-10-19 00:23:17 -05:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
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"cell_type": "code",
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2025-10-19 00:44:42 -05:00
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"execution_count": 47,
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2025-10-19 00:23:17 -05:00
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"id": "729fb12e",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Tire compound usage throughout the race:\n",
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" lap_number tire_compound tire_life_laps\n",
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"0 1.0 MEDIUM 1.0\n",
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"1 2.0 MEDIUM 2.0\n",
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"2 3.0 MEDIUM 3.0\n",
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"3 4.0 MEDIUM 4.0\n",
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"4 5.0 MEDIUM 5.0\n",
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"5 6.0 MEDIUM 6.0\n",
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"6 7.0 MEDIUM 7.0\n",
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"7 8.0 MEDIUM 8.0\n",
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"8 9.0 MEDIUM 9.0\n",
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"9 10.0 MEDIUM 10.0\n",
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"10 11.0 MEDIUM 11.0\n",
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"11 12.0 MEDIUM 12.0\n",
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"12 13.0 MEDIUM 13.0\n",
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"13 14.0 MEDIUM 14.0\n",
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"14 15.0 MEDIUM 15.0\n",
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"15 16.0 MEDIUM 16.0\n",
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"16 17.0 MEDIUM 17.0\n",
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"17 18.0 MEDIUM 18.0\n",
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"18 19.0 MEDIUM 19.0\n",
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"19 20.0 MEDIUM 20.0\n",
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"20 21.0 MEDIUM 21.0\n",
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"21 22.0 HARD 4.0\n",
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"22 23.0 HARD 5.0\n",
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"23 24.0 HARD 6.0\n",
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"24 25.0 HARD 7.0\n",
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"25 26.0 HARD 8.0\n",
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"26 27.0 HARD 9.0\n",
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"27 28.0 HARD 10.0\n",
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"28 29.0 HARD 11.0\n",
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"29 30.0 HARD 12.0\n",
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"30 31.0 HARD 13.0\n",
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"31 32.0 HARD 14.0\n",
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"32 33.0 HARD 15.0\n",
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"33 34.0 HARD 16.0\n",
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"34 35.0 HARD 17.0\n",
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"35 36.0 HARD 18.0\n",
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"36 37.0 HARD 19.0\n",
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"37 38.0 HARD 20.0\n",
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"38 39.0 HARD 21.0\n",
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"39 40.0 HARD 22.0\n",
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"40 41.0 HARD 23.0\n",
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"41 42.0 HARD 24.0\n",
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"42 43.0 HARD 25.0\n",
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"43 44.0 HARD 26.0\n",
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"44 45.0 HARD 27.0\n",
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"45 46.0 HARD 28.0\n",
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"46 47.0 HARD 29.0\n",
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"47 48.0 HARD 30.0\n",
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"48 49.0 HARD 31.0\n",
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"49 50.0 HARD 32.0\n",
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"50 51.0 HARD 33.0\n"
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]
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}
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],
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"source": [
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"# Show tire compound changes and stint information\n",
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"print(\"Tire compound usage throughout the race:\")\n",
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"tire_changes = final_df.groupby(['lap_number', 'tire_compound', 'tire_life_laps']).size().reset_index(name='count')\n",
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"tire_changes = tire_changes.groupby(['lap_number', 'tire_compound', 'tire_life_laps']).first().reset_index()[['lap_number', 'tire_compound', 'tire_life_laps']]\n",
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"print(tire_changes.drop_duplicates())\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d9ebc90c",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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