Update app.py

app.py

@@ -317,7 +317,7 @@ with tab5:
         export_container = st.empty()
     
     with col1:
-        prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'points', 'rebounds', 'assists', 'PRA', 'points+rebounds',
+        prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'points', 'rebounds', 'assists', 'threes', 'PRA', 'points+rebounds',
                                                                         'points+assists', 'rebounds+assists'])
         if prop_type_var == 'All Props':
             st.info('please note that the All Props run can take some time, you will see progress as tables show up in the sim area to the right')
@@ -352,6 +352,8 @@ with tab5:
                                     df['Median'] = df['Rebounds']
                                 elif prop == 'assists':
                                     df['Median'] = df['Assists']
+                                elif prop == 'threes':
+                                    df['Median'] = df['3P']
                                 elif prop == 'PRA':
                                     df['Median'] = df['Points'] + df['Rebounds'] + df['Assists']
                                 elif prop == 'points+rebounds':
@@ -450,6 +452,16 @@ with tab5:
                                 prop_df['Over'] = np.where(prop_df['over_line'] < 0, (-(prop_df['over_line'])/((-(prop_df['over_line']))+101)), 101/(prop_df['over_line']+101))
                                 prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
                                 df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
+                            elif prop_type_var == "threes":
+                                prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
+                                prop_df = prop_df.loc[prop_df['prop_type'] == 'threes']
+                                prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
+                                prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
+                                prop_df = prop_df.loc[prop_df['Prop'] != 0]
+                                st.table(prop_df)
+                                prop_df['Over'] = np.where(prop_df['over_line'] < 0, (-(prop_df['over_line'])/((-(prop_df['over_line']))+101)), 101/(prop_df['over_line']+101))
+                                prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
+                                df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                             elif prop_type_var == "PRA":
                                 prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
                                 prop_df = prop_df.loc[prop_df['prop_type'] == 'PRA']
@@ -505,6 +517,8 @@ with tab5:
                                 df['Median'] = df['Rebounds']
                             elif prop_type_var == 'assists':
                                 df['Median'] = df['Assists']
+                            elif prop_type_var == 'threes':
+                                df['Median'] = df['3P']
                             elif prop_type_var == 'PRA':
                                 df['Median'] = df['Points'] + df['Rebounds'] + df['Assists']
                             elif prop_type_var == 'points+rebounds':