Update app.py

app.py

@@ -31,6 +31,8 @@ odds_format = {'Odds': '{:.2%}'}
 
 stat_format = {'Odds%': '{:.2%}'}
 
+map_proj_format = {'Win%': '{:.2%}'}
+
 master_hold = 'https://docs.google.com/spreadsheets/d/1dOXsbeWbvWjRyohsEEDXOiWji4-1R1J6E-Lu2CSM9AM/edit#gid=928272897'
 
 @st.cache_resource(ttl=600)
@@ -58,6 +60,8 @@ def pull_baselines():
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display = raw_display.loc[raw_display['Player'] != ""]
     map_proj_3 = raw_display[['Player', 'Team', 'Opponent', 'Odds', 'Win%', 'Avg Kills', 'Avg Deaths', 'Proj_Kills', 'Proj_Deaths']]
+    data_cols = map_proj_3.columns.drop(['Player', 'Team', 'Opponent', 'Win%'])
+    map_proj_3[data_cols] = map_proj_3[data_cols].apply(pd.to_numeric, errors='coerce')
     
     worksheet = sh.worksheet('Timestamp')
     timestamp = worksheet.acell('A1').value
@@ -126,7 +130,7 @@ with tab3:
     map_stat_display = map_proj_3
     if team_var2:
           map_stat_display = map_stat_display[display['Team'].isin(team_var2)]
-    st.dataframe(map_stat_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(stat_format, precision=2), use_container_width = True)
+    st.dataframe(map_stat_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(map_proj_format, precision=2), use_container_width = True)
     st.download_button(
         label="Export Projections",
         data=convert_df_to_csv(map_stat_display),