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) | |