Spaces:
Running
Running
| from repo_directory import button | |
| import streamlit as st | |
| from repo_directory import Race_Trace | |
| import pandas as pd | |
| import kaggle | |
| import os | |
| kaggle.api.authenticate() | |
| kaggle.api.dataset_download_files('jtrotman/formula-1-race-events', path='formula-1-race-events', unzip=True) | |
| Race_Trace.get_latest_ergast() | |
| # select year | |
| race_names_df = pd.read_csv("ergast/races.csv") | |
| available_years = race_names_df.year.unique().tolist() | |
| available_years.sort(reverse=True) | |
| YEAR_SELECTED = st.selectbox( | |
| 'Select year', | |
| available_years) | |
| # select race | |
| available_races = race_names_df[race_names_df.year == YEAR_SELECTED].name.tolist() | |
| RACE_SELECTED = st.selectbox( | |
| 'Select Race', | |
| available_races) | |
| SELECTED_RACEID = race_names_df[ | |
| (race_names_df.year == YEAR_SELECTED) & (race_names_df.name == RACE_SELECTED) | |
| ].raceId.values[0] | |
| Race_Trace.plot(SELECTED_RACEID, YEAR_SELECTED) | |