Update pages/Race_Trace.py

pages/Race_Trace.py

@@ -1,36 +1,36 @@
-# from repo_directory import button
-# import streamlit as st
-# from repo_directory import Race_Trace
-# import pandas as pd
-# import kaggle
-# import os
+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)
+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()
+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 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()
+# select race
+available_races = race_names_df[race_names_df.year == YEAR_SELECTED].name.tolist()
 
 
-# RACE_SELECTED = st.selectbox(
-#     'Select Race',
-#     available_races)
+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]
+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)
+Race_Trace.plot(SELECTED_RACEID, YEAR_SELECTED)