CFL_Contest_Sim

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Multichem commited on Sep 22, 2023

Commit

1e54f0f

1 Parent(s): 9ae8314

Update app.py

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Files changed (1) hide show

app.py +9 -10

app.py CHANGED Viewed

@@ -250,12 +250,11 @@ def get_correlated_portfolio_for_sim(Total_Sample_Size):
     RandomPortArray = RandomPortfolio.to_numpy()
     del RandomPortfolio
-    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))]
-    st.write(RandomPortArray[:,: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)
     del RandomPortArray
@@ -348,11 +347,11 @@ def get_uncorrelated_portfolio_for_sim(Total_Sample_Size):
     RandomPortArray = RandomPortfolio.to_numpy()
     del RandomPortfolio
-    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)
     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

     RandomPortArray = RandomPortfolio.to_numpy()
     del RandomPortfolio
+    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))]
+    RandomPortArrayOut = np.delete(RandomPortArray, np.s_[8:32], axis=1)
     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
     RandomPortArray = RandomPortfolio.to_numpy()
     del RandomPortfolio
+    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))]
+    RandomPortArrayOut = np.delete(RandomPortArray, np.s_[8:32], axis=1)
     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