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NFL_Research_Sheets

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Multichem commited on Sep 24, 2024

Commit

6f99a73

verified ·

1 Parent(s): e5df735

Update app.py

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Files changed (1) hide show

app.py +4 -4

app.py CHANGED Viewed

@@ -203,23 +203,23 @@ with tab2:
             table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]
             table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
             table_instance = table_instance[table_instance['Week'].isin(week_var1)]
-            table_instance['PPR_Diff'] = table_instance['PPR'] - table_instance['Expected PPR']
         elif stat_type_var1 == 'WR/TE Usage (Weekly)':
             table_instance = wr_search
             table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]
             table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
             table_instance = table_instance[table_instance['Week'].isin(week_var1)]
-            table_instance['PPR_Diff'] = table_instance['PPR'] - table_instance['Expected PPR']
         elif stat_type_var1 == 'RB Usage (Season)':
             table_instance = rb_season
             table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]
             table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
-            table_instance['PPR_Diff'] = table_instance['PPR'] - table_instance['Expected PPR']
         elif stat_type_var1 == 'WR/TE Usage (Season)':
             table_instance = wr_season
             table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]
             table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
-            table_instance['PPR_Diff'] = table_instance['PPR'] - table_instance['Expected PPR']
     with col2:
         if stat_type_var1 == 'RB Usage (Weekly)':
             st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').background_gradient(cmap='RdYlGn_r', subset = 'Utilization Rank').format(rb_util, precision=2), height=1000, use_container_width = True)

             table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]
             table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
             table_instance = table_instance[table_instance['Week'].isin(week_var1)]
+            table_instance['PPR_Diff'] = table_instance['Expected PPR'] - table_instance['PPR']
         elif stat_type_var1 == 'WR/TE Usage (Weekly)':
             table_instance = wr_search
             table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]
             table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
             table_instance = table_instance[table_instance['Week'].isin(week_var1)]
+            table_instance['PPR_Diff'] = table_instance['Expected PPR'] - table_instance['PPR']
         elif stat_type_var1 == 'RB Usage (Season)':
             table_instance = rb_season
             table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]
             table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
+            table_instance['PPR_Diff'] = table_instance['Expected PPR'] - table_instance['PPR']
         elif stat_type_var1 == 'WR/TE Usage (Season)':
             table_instance = wr_season
             table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]
             table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
+            table_instance['PPR_Diff'] = table_instance['Expected PPR'] - table_instance['PPR']
     with col2:
         if stat_type_var1 == 'RB Usage (Weekly)':
             st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').background_gradient(cmap='RdYlGn_r', subset = 'Utilization Rank').format(rb_util, precision=2), height=1000, use_container_width = True)