Update app.py

app.py

@@ -253,8 +253,9 @@ def get_correlated_portfolio_for_sim(Total_Sample_Size):
     RandomPortArray = np.c_[RandomPortArray, np.einsum('ij->i',RandomPortArray[:,8:16].astype(int))]
     RandomPortArray = np.c_[RandomPortArray, np.einsum('ij->i',RandomPortArray[:,16:24].astype(np.double))]
     RandomPortArray = np.c_[RandomPortArray, np.einsum('ij->i',RandomPortArray[:,24:32].astype(np.double))]
-    
+    st.write(RandomPortArray[:,:10])
     RandomPortArrayOut = np.delete(RandomPortArray, np.s_[8:32], axis=1)
+    st.write(RandomPortArrayOut[:,:10])
     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)
     del RandomPortArray