Update app.py

app.py

@@ -50,8 +50,7 @@ def init_baselines():
     raw_display = raw_display.reset_index(drop=True)
     matchups = raw_display[raw_display['Opp'] != ""]
     data_cols = matchups.columns.drop(['Team', 'Opp'])
-    matchups[data_cols] = matchups[data_cols].apply(pd.to_numeric, errors='coerce')
-    matchups_dict = dict(zip(matchups['Team'], matchups['Opp']))
+    # matchups[data_cols] = matchups[data_cols].apply(pd.to_numeric, errors='coerce')
     
     worksheet = sh.worksheet('Marketshares')
     raw_display = pd.DataFrame(worksheet.get_values())
@@ -62,20 +61,20 @@ def init_baselines():
     overall_ms = raw_display[['Line', 'SK1', 'SK2', 'SK3', 'Cost', 'Team Total', 'Shots', 'HDCF', 'Goals', 'Assists', 'Blocks',
                               'L14_Shots', 'L14_HDCF', 'L14_Goals', 'L14_Assists', 'L14_Blocks']]
     data_cols = overall_ms.columns.drop(['Line', 'SK1', 'SK2', 'SK3'])
-    overall_ms[data_cols] = overall_ms[data_cols].apply(pd.to_numeric, errors='coerce')
+    # overall_ms[data_cols] = overall_ms[data_cols].apply(pd.to_numeric, errors='coerce')
 
-    return matchups, matchups_dict, overall_ms
+    return matchups, overall_ms
 
 def convert_df_to_csv(df):
     return df.to_csv().encode('utf-8')
 
-matchups, matchups_dict, overall_ms = init_baselines()
+matchups, overall_ms = init_baselines()
 
 col1, col2 = st.columns([1, 9])
 with col1:
     if st.button("Reset Data", key='reset1'):
               st.cache_data.clear()
-              matchups, matchups_dict, overall_ms = init_baselines()
+              matchups, overall_ms = init_baselines()
     split_var1 = st.radio("View matchups or line marketshares?", ('Slate Matchups', 'Line Marketshares'), key='split_var1')
     
 with col2: