changed to sort on if/then

app.py

@@ -220,6 +220,7 @@ with tab2:
               
         slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Just the Main Slate'))
         site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'))
+        
         if site_var1 == 'Draftkings':
             raw_baselines = dk_raw
             # Get the minimum and maximum ownership values from dk_lineups
@@ -272,14 +273,16 @@ with tab2:
                 st.session_state.working_seed = st.session_state.working_seed
 #                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] >= own_var_low]
 #                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] <= own_var_high]
-                st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
+                if player_var1 == 'Specific Players':
+                    st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
                 st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:151], columns=column_names)
             elif 'working_seed' not in st.session_state:
                 st.session_state.working_seed = dk_lineups.copy()
                 st.session_state.working_seed = st.session_state.working_seed
 #                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] >= own_var_low]
 #                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] <= own_var_high]
-                st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
+                if player_var1 == 'Specific Players':
+                    st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
                 st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:151], columns=column_names)
             
         elif site_var1 == 'Fanduel':
@@ -287,14 +290,16 @@ with tab2:
                 st.session_state.working_seed = st.session_state.working_seed
 #                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] >= own_var_low]
 #                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] <= own_var_high]
-                st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
+                if player_var1 == 'Specific Players':
+                    st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
                 st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:151], columns=column_names)
             elif 'working_seed' not in st.session_state:
                 st.session_state.working_seed = fd_lineups.copy()
                 st.session_state.working_seed = st.session_state.working_seed
  #                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] >= own_var_low]
 #                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] <= own_var_high]
-                st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
+                if player_var1 == 'Specific Players':
+                    st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
                 st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:151], columns=column_names)
                 
         with st.container():