Update app.py

app.py

@@ -231,26 +231,27 @@ with tab1:
         min_var1 = st.slider("Is there a certain minutes range you want to view?", 0, 60, (0, 60), key='min_var1')
     
     with col2:
+        working_data = gamelog_table
         if split_var1 == 'Season Logs':
             display = st.container()
-            gamelog_table = gamelog_table[gamelog_table['Date'] >= low_date]
-            gamelog_table = gamelog_table[gamelog_table['Date'] <= high_date]
-            gamelog_table = gamelog_table[gamelog_table['Min'] >= min_var1[0]]
-            gamelog_table = gamelog_table[gamelog_table['Min'] <= min_var1[1]]
-            gamelog_table = gamelog_table[gamelog_table['Team'].isin(team_var1)]
-            gamelog_table = gamelog_table[gamelog_table['Player'].isin(player_var1)]
-            season_long_table = seasonlong_build(gamelog_table)
+            working_data = working_data[working_data['Date'] >= low_date]
+            working_data = working_data[working_data['Date'] <= high_date]
+            working_data = working_data[working_data['Min'] >= min_var1[0]]
+            working_data = working_data[working_data['Min'] <= min_var1[1]]
+            working_data = working_data[working_data['Team'].isin(team_var1)]
+            working_data = working_data[working_data['Player'].isin(player_var1)]
+            season_long_table = seasonlong_build(working_data)
             season_long_table = season_long_table.set_index('Player')
             display.dataframe(season_long_table.style.format(precision=2), height=750, use_container_width = True)  
             
         elif split_var1 == 'Gamelogs':
-            gamelog_table = gamelog_table[gamelog_table['Date'] >= low_date]
-            gamelog_table = gamelog_table[gamelog_table['Date'] <= high_date]
-            gamelog_table = gamelog_table[gamelog_table['Min'] >= min_var1[0]]
-            gamelog_table = gamelog_table[gamelog_table['Min'] <= min_var1[1]]
-            gamelog_table = gamelog_table[gamelog_table['Team'].isin(team_var1)]
-            gamelog_table = gamelog_table[gamelog_table['Player'].isin(player_var1)]
-            gamelog_table = gamelog_table.reset_index(drop=True)
+            working_data = working_data[working_data['Date'] >= low_date]
+            working_data = working_data[working_data['Date'] <= high_date]
+            working_data = working_data[working_data['Min'] >= min_var1[0]]
+            working_data = working_data[working_data['Min'] <= min_var1[1]]
+            working_data = working_data[working_data['Team'].isin(team_var1)]
+            working_data = working_data[working_data['Player'].isin(player_var1)]
+            working_data = working_data.reset_index(drop=True)
             display = st.container()
         
             bottom_menu = st.columns((4, 1, 1))
@@ -258,7 +259,7 @@ with tab1:
                 batch_size = st.selectbox("Page Size", options=[25, 50, 100])
             with bottom_menu[1]:
                 total_pages = (
-                    int(len(gamelog_table) / batch_size) if int(len(gamelog_table) / batch_size) > 0 else 1
+                    int(len(working_data) / batch_size) if int(len(working_data) / batch_size) > 0 else 1
                 )
                 current_page = st.number_input(
                     "Page", min_value=1, max_value=total_pages, step=1
@@ -267,7 +268,7 @@ with tab1:
                 st.markdown(f"Page **{current_page}** of **{total_pages}** ")
             
             
-            pages = split_frame(gamelog_table, batch_size)
+            pages = split_frame(working_data, batch_size)
             # pages = pages.set_index('Player')
             display.dataframe(data=pages[current_page - 1].style.format(precision=2), height=500, use_container_width=True)
             
@@ -308,32 +309,33 @@ with tab2:
         min_var1_t2 = st.slider("Is there a certain minutes range you want to view?", 0, 60, (0, 60), key='min_var1_t2')
     
     with col2:
+        working_data = gamelog_table
         if split_var1_t2 == 'Specific Teams':
             display = st.container()
-            gamelog_table = gamelog_table.sort_values(by='Fantasy', ascending=False)
-            gamelog_table = gamelog_table[gamelog_table['Date'] >= low_date_t2]
-            gamelog_table = gamelog_table[gamelog_table['Date'] <= high_date_t2]
-            gamelog_table = gamelog_table[gamelog_table['Min'] >= min_var1_t2[0]]
-            gamelog_table = gamelog_table[gamelog_table['Min'] <= min_var1_t2[1]]
-            gamelog_table = gamelog_table[gamelog_table['Team'].isin(corr_var1_t2)]
+            working_data = working_data.sort_values(by='Fantasy', ascending=False)
+            working_data = working_data[working_data['Date'] >= low_date_t2]
+            working_data = working_data[working_data['Date'] <= high_date_t2]
+            working_data = working_data[working_data['Min'] >= min_var1_t2[0]]
+            working_data = working_data[working_data['Min'] <= min_var1_t2[1]]
+            working_data = working_data[working_data['Team'].isin(corr_var1_t2)]
             if corr_var == 'Fantasy':
-                corr_display = run_fantasy_corr(gamelog_table)
+                corr_display = run_fantasy_corr(working_data)
             elif corr_var == 'Minutes':
-                corr_display = run_min_corr(gamelog_table)
+                corr_display = run_min_corr(working_data)
             display.dataframe(corr_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=1000, use_container_width = True)
             
         elif split_var1_t2 == 'Specific Players':
             display = st.container()
-            gamelog_table = gamelog_table.sort_values(by='Fantasy', ascending=False)
-            gamelog_table = gamelog_table[gamelog_table['Date'] >= low_date_t2]
-            gamelog_table = gamelog_table[gamelog_table['Date'] <= high_date_t2]
-            gamelog_table = gamelog_table[gamelog_table['Min'] >= min_var1_t2[0]]
-            gamelog_table = gamelog_table[gamelog_table['Min'] <= min_var1_t2[1]]
-            gamelog_table = gamelog_table[gamelog_table['Player'].isin(corr_var1_t2)]
+            working_data = working_data.sort_values(by='Fantasy', ascending=False)
+            working_data = working_data[working_data['Date'] >= low_date_t2]
+            working_data = working_data[working_data['Date'] <= high_date_t2]
+            working_data = working_data[working_data['Min'] >= min_var1_t2[0]]
+            working_data = working_data[working_data['Min'] <= min_var1_t2[1]]
+            working_data = working_data[working_data['Player'].isin(corr_var1_t2)]
             if corr_var == 'Fantasy':
-                corr_display = run_fantasy_corr(gamelog_table)
+                corr_display = run_fantasy_corr(working_data)
             elif corr_var == 'Minutes':
-                corr_display = run_min_corr(gamelog_table)
+                corr_display = run_min_corr(working_data)
             display.dataframe(corr_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
 
 with tab3:
@@ -366,17 +368,21 @@ with tab3:
         min_var3 = st.slider("Is there a certain minutes range you want to view?", 0, 60, (0, 60), key='min_var3')
     
     with col2:
-        gamelog_table = gamelog_table[gamelog_table['Date'] >= low_date3]
-        gamelog_table = gamelog_table[gamelog_table['Date'] <= high_date3]
-        season_long_table = seasonlong_build(gamelog_table)
+        working_data = gamelog_table
+        working_data = working_data[gamelog_table['Date'] >= low_date3]
+        working_data = working_data[gamelog_table['Date'] <= high_date3]
+        season_long_table = seasonlong_build(working_data)
+        fantasy_dict = dict(zip(season_long_table['Player'], season_long_table['Fantasy']))
+        fd_fantasy_dict = dict(zip(season_long_table['Player'], season_long_table['FD_Fantasy']))
             
-        gamelog_table = gamelog_table[gamelog_table['Date'] >= low_date3]
-        gamelog_table = gamelog_table[gamelog_table['Date'] <= high_date3]
-        gamelog_table = gamelog_table[gamelog_table['Pos'] == pos_var3]
-        gamelog_table = gamelog_table[gamelog_table['Min'] >= min_var3[0]]
-        gamelog_table = gamelog_table[gamelog_table['Min'] <= min_var3[1]]
-        gamelog_table = gamelog_table[gamelog_table['Opp'].isin(team_var3)]
-        gamelog_display = gamelog_table.reset_index(drop=True)
+        working_data = working_data[working_data['Pos'] == pos_var3]
+        working_data = working_data[working_data['Min'] >= min_var3[0]]
+        working_data = working_data[working_data['Min'] <= min_var3[1]]
+        working_data = working_data[working_data['Opp'].isin(team_var3)]
+        working_data = working_data.reset_index(drop=True)
+        gamelog_display = working_data[['Player', 'Pos', 'Team', 'Opp', 'Date', 'Min', 'Fantasy', 'FD_Fantasy']]
+        gamelog_display['Avg_Fantasy'] = gamelog_display['Player'].map(fantasy_dict)
+        gamelog_display['Avg_FD_Fantasy'] = gamelog_display['Player'].map(fd_fantasy_dict)
         display = st.container()
 
         # pages = pages.set_index('Player')