Update app.py

app.py

@@ -330,7 +330,7 @@ with tab5:
         export_container = st.empty()
     
     with col1:
-        prop_type_var = st.selectbox('Select prop category', options = ['Pass Yards', 'Rush Yards', 'Receiving Yards'])
+        prop_type_var = st.selectbox('Select prop category', options = ['Pass Yards', 'Rush Yards', 'Receiving Yards', 'Receptions'])
 
         if st.button('Simulate Prop Category'):
             with col2:
@@ -367,6 +367,16 @@ 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(overall_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
+                        elif prop_type_var == "Receptions":
+                            prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
+                            prop_df = prop_df.loc[prop_df['prop_type'] == 'receptions']
+                            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(overall_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                         
                         prop_dict = dict(zip(df.Player, df.Prop))
                         over_dict = dict(zip(df.Player, df.Over))
@@ -382,6 +392,8 @@ with tab5:
                             df['Median'] = df['rush_yards']
                         elif prop_type_var == "Receiving Yards":
                             df['Median'] = df['rec_yards']
+                        elif prop_type_var == "Receptions":
+                            df['Median'] = df['rec']
 
                         flex_file = df
                         flex_file['Floor'] = flex_file['Median'] * .20