Update app.py

app.py

@@ -253,8 +253,8 @@ def get_correlated_portfolio_for_sim(Total_Sample_Size):
     RandomPortArray = np.c_[RandomPortArray, np.einsum('ij->i',RandomPortArray[:,8:17].astype(int))]
     RandomPortArray = np.c_[RandomPortArray, np.einsum('ij->i',RandomPortArray[:,17:26].astype(np.double))]
     RandomPortArray = np.c_[RandomPortArray, np.einsum('ij->i',RandomPortArray[:,26:35].astype(np.double))]
-    
-    RandomPortArrayOut = np.delete(RandomPortArray, np.s_[8:35], axis=1)
+    st.write(RandomPortArrayOut[:,:100])
+    RandomPortArrayOut = np.delete(RandomPortArray, np.s_[11:35], axis=1)
     st.write(RandomPortArrayOut[:,:100])
     RandomPortfolioDF = pd.DataFrame(RandomPortArrayOut, columns = ['QB', 'RB1', 'WR1', 'WR2', 'FLEX1', 'FLEX2', 'DST', 'User/Field', 'Salary', 'Projection', 'Own'])
     RandomPortfolioDF = RandomPortfolioDF.sort_values(by=Sim_function, ascending=False)