Remove 'Minutes Proj' column from final_Proj DataFrame in app.py

app.py

@@ -195,7 +195,7 @@ if st.button('Simulate appropriate pivots'):
             final_Proj['Own'] = final_Proj['Player'].map(own_dict)
             final_Proj['Team'] = final_Proj['Player'].map(team_dict)
             final_Proj['Own'] = final_Proj['Own'].astype('float')
-            final_Proj = final_Proj[['Player', 'Minutes Proj', 'Position', 'Team', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%', 'GPP%', 'Own']]
+            final_Proj = final_Proj[['Player', 'Position', 'Team', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%', 'GPP%', 'Own']]
             final_Proj['Projection Rank'] = final_Proj.Top_finish.rank(pct = True)
             final_Proj['Own Rank'] = final_Proj.Own.rank(pct = True)
             final_Proj['LevX'] = (final_Proj['Projection Rank'] - final_Proj['Own Rank']) * 100
@@ -203,7 +203,7 @@ if st.button('Simulate appropriate pivots'):
             final_Proj['ValX'] = np.where(final_Proj['ValX'] > 100, 100, final_Proj['ValX'])
             final_Proj['ValX'] = np.where(final_Proj['ValX'] < 0, 0, final_Proj['ValX'])
 
-            final_Proj = final_Proj[['Player', 'Minutes Proj', 'Position', 'Team', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%', 'GPP%', 'Own', 'LevX', 'ValX']]
+            final_Proj = final_Proj[['Player', 'Position', 'Team', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%', 'GPP%', 'Own', 'LevX', 'ValX']]
             final_Proj = final_Proj.set_index('Player')
             
             st.session_state.final_Proj = final_Proj.sort_values(by='Top_finish', ascending=False)