Update app.py

app.py

@@ -673,6 +673,7 @@ with tab3:
             working_data = hitter_gamelog_table
         player_var3 = st.selectbox("Which player are you viewing?", player_drop, key='player_var3')
         plot_count = st.radio("how many stats would you like to plot?", ('One', 'Two', 'Three'), key='plot_count')
+
         if plot_count == "One":
             plot_var1 = st.selectbox("Which stat are you viewing?", stat_drop, key='plot_var1')
         elif plot_count == "Two":
@@ -697,15 +698,34 @@ with tab3:
             plot_high_date = pitcher_gamelog_table['Date'].max()
     
     with col2:
+        date_var_3 = '5-day Averages'
         working_data = working_data[working_data['Date'] >= sp_low_date]
         working_data = working_data[working_data['Date'] <= sp_high_date]
         working_data = working_data[working_data['Team'].isin(sp_team_var1)]
         working_data = working_data[working_data['Player'] == player_var3]
         if date_var_3 == '5-day Averages':
-            working_data['Date'] = pd.to_datetime(working_data['Date'])
-            working_data = working_data.set_index('Date')
-            working_data = working_data[plot_var1].rolling('5D').mean()
-            working_data = working_data.reset_index()
+            if plot_count == "One":
+                working_data['Date'] = pd.to_datetime(working_data['Date'])
+                working_data = working_data.set_index('Date')
+                working_data = working_data[plot_var1].rolling('5D').mean()
+                working_data = working_data.reset_index()
+            elif plot_count == "Two":
+                working_data['Date'] = pd.to_datetime(working_data['Date'])
+                working_data = working_data.set_index('Date')
+                working_data1 = working_data[plot_var1].rolling('5D').mean()
+                working_data2 = working_data[plot_var2].rolling('5D').mean()
+                join_list = [working_data1, working_data2]
+                working_data - pd.concat(join_list, join='outer', axis=1)
+                working_data = working_data.reset_index()
+            elif plot_count == "Three":
+                working_data['Date'] = pd.to_datetime(working_data['Date'])
+                working_data = working_data.set_index('Date')
+                working_data1 = working_data[plot_var1].rolling('5D').mean()
+                working_data2 = working_data[plot_var2].rolling('5D').mean()
+                working_data3 = working_data[plot_var3].rolling('5D').mean()
+                join_list = [working_data1, working_data2, working_data3]
+                working_data - pd.concat(join_list, join='outer', axis=1)
+                working_data = working_data.reset_index()
         elif date_var_3 == '10-day Averages':
             working_data['Date'] = pd.to_datetime(working_data['Date'])
             working_data = working_data.set_index('Date')