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)