Update app.py

app.py

@@ -53,6 +53,7 @@ def init_baselines():
                               'o_HDCA', 'HDCF_m']]
     data_cols = matchups.columns.drop(['Team', 'Opp'])
     matchups[data_cols] = matchups[data_cols].apply(pd.to_numeric, errors='coerce')
+    matchups = matchups.sort_values(by='HDCF_m', ascending=False)
     
     worksheet = sh.worksheet('Marketshares')
     raw_display = pd.DataFrame(worksheet.get_values())
@@ -64,6 +65,7 @@ def init_baselines():
                               '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 = overall_ms.sort_values(by='Shots', ascending=False)
 
     return matchups, overall_ms
 
@@ -91,7 +93,7 @@ with col2:
         )
     elif split_var1 == 'Line Marketshares':
         display_table = overall_ms
-        st.dataframe(display_table.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+        st.dataframe(display_table.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
         st.download_button(
             label="Export Marketshares",
             data=convert_df_to_csv(display_table),