Adding position filtering for all tables

src/streamlit_app.py

@@ -35,17 +35,17 @@ def init_baselines():
     data_cols = trend_table.columns.drop(['PLAYER_NAME', 'Team', 'Position', 'FD_Position'])
     trend_table[data_cols] = trend_table[data_cols].apply(pd.to_numeric, errors='coerce')
     
-    dk_minutes_table = trend_table[['PLAYER_NAME', 'Team', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min']]
+    dk_minutes_table = trend_table[['PLAYER_NAME', 'Team', 'Position', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min']]
     
-    fd_minutes_table = trend_table[['PLAYER_NAME', 'Team', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min']]
+    fd_minutes_table = trend_table[['PLAYER_NAME', 'Team', 'FD_Position', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min']]
     
-    dk_medians_table = trend_table[['PLAYER_NAME', 'Team', 'Season Fantasy', 'L10 Fantasy', 'L5 Fantasy', 'L3 Fantasy', 'Trend Median']]
+    dk_medians_table = trend_table[['PLAYER_NAME', 'Team', 'Position', 'Season Fantasy', 'L10 Fantasy', 'L5 Fantasy', 'L3 Fantasy', 'Trend Median']]
     
-    fd_medians_table = trend_table[['PLAYER_NAME', 'Team', 'Season FD_Fantasy', 'L10 FD_Fantasy', 'L5 FD_Fantasy', 'L3 FD_Fantasy', 'Trend FD_Median']]
+    fd_medians_table = trend_table[['PLAYER_NAME', 'Team', 'FD_Position', 'Season FD_Fantasy', 'L10 FD_Fantasy', 'L5 FD_Fantasy', 'L3 FD_Fantasy', 'Trend FD_Median']]
 
-    dk_fppm_table = trend_table[['PLAYER_NAME', 'Team', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM']]
+    dk_fppm_table = trend_table[['PLAYER_NAME', 'Team', 'Position', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM']]
     
-    fd_fppm_table = trend_table[['PLAYER_NAME', 'Team', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM']]
+    fd_fppm_table = trend_table[['PLAYER_NAME', 'Team', 'FD_Position', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM']]
     
     dk_proj_medians_table = trend_table[['PLAYER_NAME', 'Team', 'Position', 'DK_Salary', 'DK_Proj', 'Adj Median', 'DK_Avg_Val', 'Adj Ceiling', 'DK_Ceiling_Value']]
     
@@ -84,9 +84,9 @@ with col1:
     trend_table = trend_table.set_axis(['PLAYER_NAME', 'Team', 'Position', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min', 'Season Fantasy', 'L10 Fantasy', 'L5 Fantasy', 'L3 Fantasy',
                                         'Trend Median', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM', 'DK_Proj', 'Adj Median', 'Adj Ceiling',
                                         'Salary', 'Avg_Val', 'Ceiling_Value'], axis=1)
-    minutes_table = minutes_table.set_axis(['PLAYER_NAME', 'Team', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min'], axis=1)
-    medians_table = medians_table.set_axis(['PLAYER_NAME', 'Team', 'Season Fantasy', 'L10 Fantasy', 'L5 Fantasy', 'L3 Fantasy', 'Trend Median'], axis=1)
-    fppm_table = fppm_table.set_axis(['PLAYER_NAME', 'Team', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM'], axis=1)
+    minutes_table = minutes_table.set_axis(['PLAYER_NAME', 'Team', 'Position', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min'], axis=1)
+    medians_table = medians_table.set_axis(['PLAYER_NAME', 'Team', 'Position', 'Season Fantasy', 'L10 Fantasy', 'L5 Fantasy', 'L3 Fantasy', 'Trend Median'], axis=1)
+    fppm_table = fppm_table.set_axis(['PLAYER_NAME', 'Team', 'Position', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM'], axis=1)
     proj_medians_table = proj_medians_table.set_axis(['PLAYER_NAME', 'Team', 'Position', 'Salary', 'Proj',
                                                       'Adj Median', 'Avg_Val', 'Adj Ceiling', 'Ceiling_Value'], axis=1)
     if split_var1 == 'Overall':
@@ -115,6 +115,12 @@ with col1:
         elif split_var2 == 'All':
             team_var1 = view_var1
         
+        split_var2 = st.radio("Would you like to view all positions or specific ones?", ('All', 'Specific Positions'), key='split_var2')
+        if split_var2 == 'Specific Positions':
+            pos_var1 = st.multiselect('Which positions would you like to include in the tables?', options = ['PG', 'SG', 'SF', 'PF', 'C'], key='pos_var1')
+        elif split_var2 == 'All':
+            pos_var1 = ['PG', 'SG', 'SF', 'PF', 'C']
+        
     elif split_var1 == 'Fantasy Trends':
         view_var1 = trend_table.Team.values.tolist()
         split_var2 = st.radio("Would you like to view all teams or specific ones?", ('All', 'Specific Teams'), key='split_var2')
@@ -123,6 +129,12 @@ with col1:
             team_var1 = st.multiselect('Which teams would you like to include in the tables?', options = view_var1, key='team_var1')
         elif split_var2 == 'All':
             team_var1 = view_var1
+        
+        split_var2 = st.radio("Would you like to view all positions or specific ones?", ('All', 'Specific Positions'), key='split_var2')
+        if split_var2 == 'Specific Positions':
+            pos_var1 = st.multiselect('Which positions would you like to include in the tables?', options = ['PG', 'SG', 'SF', 'PF', 'C'], key='pos_var1')
+        elif split_var2 == 'All':
+            pos_var1 = ['PG', 'SG', 'SF', 'PF', 'C']
             
     elif split_var1 == 'FPPM Trends':
         view_var1 = trend_table.Team.values.tolist()
@@ -132,6 +144,12 @@ with col1:
             team_var1 = st.multiselect('Which teams would you like to include in the tables?', options = view_var1, key='team_var1')
         elif split_var2 == 'All':
             team_var1 = view_var1
+        
+        split_var2 = st.radio("Would you like to view all positions or specific ones?", ('All', 'Specific Positions'), key='split_var2')
+        if split_var2 == 'Specific Positions':
+            pos_var1 = st.multiselect('Which positions would you like to include in the tables?', options = ['PG', 'SG', 'SF', 'PF', 'C'], key='pos_var1')
+        elif split_var2 == 'All':
+            pos_var1 = ['PG', 'SG', 'SF', 'PF', 'C']
             
     elif split_var1 == 'Slate specific':
         view_var1 = trend_table.Team.values.tolist()
@@ -142,10 +160,10 @@ with col1:
         elif split_var2 == 'All':
             team_var1 = view_var1
         
-        split_var3 = st.radio("Would you like to view all positions or specific ones?", ('All', 'Specific Positions'), key='split_var3')
-        if split_var3 == 'Specific Positions':
+        split_var2 = st.radio("Would you like to view all positions or specific ones?", ('All', 'Specific Positions'), key='split_var2')
+        if split_var2 == 'Specific Positions':
             pos_var1 = st.multiselect('Which positions would you like to include in the tables?', options = ['PG', 'SG', 'SF', 'PF', 'C'], key='pos_var1')
-        elif split_var3 == 'All':
+        elif split_var2 == 'All':
             pos_var1 = ['PG', 'SG', 'SF', 'PF', 'C']
         
         proj_var1 = st.slider("Is there a certain projection range you want to view?", 0, 100, (10, 100), key='proj_var1')
@@ -168,6 +186,7 @@ with col2:
             
     elif split_var1 == 'Minutes Trends':
         table_display = minutes_table[minutes_table['Team'].isin(team_var1)]
+        table_display = table_display[table_display['Position'].str.contains('|'.join(pos_var1))]
         table_display = table_display.set_index('PLAYER_NAME')
         st.dataframe(table_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
         st.download_button(
@@ -179,6 +198,7 @@ with col2:
         
     elif split_var1 == 'Fantasy Trends':
         table_display = medians_table[medians_table['Team'].isin(team_var1)]
+        table_display = table_display[table_display['Position'].str.contains('|'.join(pos_var1))]
         table_display = table_display.set_index('PLAYER_NAME')
         st.dataframe(table_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
         st.download_button(
@@ -190,6 +210,7 @@ with col2:
         
     elif split_var1 == 'FPPM Trends':
         table_display = fppm_table[fppm_table['Team'].isin(team_var1)]
+        table_display = table_display[table_display['Position'].str.contains('|'.join(pos_var1))]
         table_display = table_display.set_index('PLAYER_NAME')
         st.dataframe(table_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
         st.download_button(