f1 / pages /Download_Raw_Data
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Create pages/Download_Raw_Data
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import streamlit as st
from repo_directory import main
import pandas as pd
YEAR_SELECTED = st.selectbox(
'Select Year',
(2023, 2022, 2021, 2020, 2019, 2018))
RACE_SELECTED = st.selectbox(
'Select Race',
(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23))
SESSION_SELECTED = st.selectbox(
'Select Session',
('FP1', 'FP2', 'FP3', 'Q', 'SQ', 'R'))
laps_with_weather, weather_data, f1session = main.get_laps_with_weather(YEAR_SELECTED, RACE_SELECTED, SESSION_SELECTED)
laps_with_weather.to_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}.csv')
st.dataframe(pd.read_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}.csv'))
with open(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}.csv') as f:
st.download_button('Click to Download LapTimes Data', f, file_name=f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}.csv')
weather_data.to_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-weather.csv')
st.dataframe(pd.read_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-weather.csv'))
with open(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-weather.csv') as f:
st.download_button('Click to Download Weather Data', f, file_name=f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-weather.csv')
telemetry = main.get_pos_car_data(f1session)
telemetry.to_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-Tel.csv')
st.dataframe(pd.read_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-Tel.csv'))
with open(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-Tel.csv') as f:
st.download_button('Click to Download Telemetry Data', f, file_name=f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-Tel.csv')