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Commit
2ef5597
·
1 Parent(s): 5780a46

Update app.py

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Files changed (1) hide show
  1. app.py +179 -105
app.py CHANGED
@@ -746,116 +746,189 @@ with tab1:
746
 
747
  try:
748
  try:
749
- portfolio_dataframe.columns=["C1", "C2", "W1", "W2", "W3", "D1", "D2", "G", "UTIL"]
750
- split_portfolio = portfolio_dataframe
751
- split_portfolio[['C1', 'C1_ID']] = split_portfolio.C1.str.split("(", n=1, expand = True)
752
- split_portfolio[['C2', 'C2_ID']] = split_portfolio.C2.str.split("(", n=1, expand = True)
753
- split_portfolio[['W1', 'W1_ID']] = split_portfolio.W1.str.split("(", n=1, expand = True)
754
- split_portfolio[['W2', 'W2_ID']] = split_portfolio.W2.str.split("(", n=1, expand = True)
755
- split_portfolio[['W3', 'W3_ID']] = split_portfolio.W3.str.split("(", n=1, expand = True)
756
- split_portfolio[['D1', 'D1_ID']] = split_portfolio.D1.str.split("(", n=1, expand = True)
757
- split_portfolio[['D2', 'D2_ID']] = split_portfolio.D2.str.split("(", n=1, expand = True)
758
- split_portfolio[['G', 'G_ID']] = split_portfolio.G.str.split("(", n=1, expand = True)
759
- split_portfolio[['UTIL', 'UTIL_ID']] = split_portfolio.UTIL.str.split("(", n=1, expand = True)
760
-
761
- split_portfolio['C1'] = split_portfolio['C1'].str.strip()
762
- split_portfolio['C2'] = split_portfolio['C2'].str.strip()
763
- split_portfolio['W1'] = split_portfolio['W1'].str.strip()
764
- split_portfolio['W2'] = split_portfolio['W2'].str.strip()
765
- split_portfolio['W3'] = split_portfolio['W3'].str.strip()
766
- split_portfolio['D1'] = split_portfolio['D1'].str.strip()
767
- split_portfolio['D2'] = split_portfolio['D2'].str.strip()
768
- split_portfolio['G'] = split_portfolio['G'].str.strip()
769
- split_portfolio['UTIL'] = split_portfolio['UTIL'].str.strip()
770
-
771
- st.table(split_portfolio.head(10))
772
-
773
- split_portfolio['Salary'] = sum([split_portfolio['C1'].map(player_salary_dict),
774
- split_portfolio['C2'].map(player_salary_dict),
775
- split_portfolio['W1'].map(player_salary_dict),
776
- split_portfolio['W2'].map(player_salary_dict),
777
- split_portfolio['W3'].map(player_salary_dict),
778
- split_portfolio['D1'].map(player_salary_dict),
779
- split_portfolio['D2'].map(player_salary_dict),
780
- split_portfolio['G'].map(player_salary_dict),
781
- split_portfolio['UTIL'].map(player_salary_dict)])
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
782
 
783
- split_portfolio['Projection'] = sum([split_portfolio['C1'].map(player_proj_dict),
784
- split_portfolio['C2'].map(player_proj_dict),
785
- split_portfolio['W1'].map(player_proj_dict),
786
- split_portfolio['W2'].map(player_proj_dict),
787
- split_portfolio['W3'].map(player_proj_dict),
788
- split_portfolio['D1'].map(player_proj_dict),
789
- split_portfolio['D2'].map(player_proj_dict),
790
- split_portfolio['G'].map(player_proj_dict),
791
- split_portfolio['UTIL'].map(player_proj_dict)])
792
 
793
- split_portfolio['Ownership'] = sum([split_portfolio['C1'].map(player_own_dict),
794
- split_portfolio['C2'].map(player_own_dict),
795
- split_portfolio['W1'].map(player_own_dict),
796
- split_portfolio['W2'].map(player_own_dict),
797
- split_portfolio['W3'].map(player_own_dict),
798
- split_portfolio['D1'].map(player_own_dict),
799
- split_portfolio['D2'].map(player_own_dict),
800
- split_portfolio['G'].map(player_own_dict),
801
- split_portfolio['UTIL'].map(player_own_dict)])
802
-
803
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
804
  except:
805
- portfolio_dataframe.columns=["C1", "C2", "W1", "W2", "D1", "D2", "UTIL1", "UTIL2", "G"]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
806
 
807
- split_portfolio = portfolio_dataframe
808
- split_portfolio[['C1_ID', 'C1']] = split_portfolio.C1.str.split(":", n=1, expand = True)
809
- split_portfolio[['C2_ID', 'C2']] = split_portfolio.C2.str.split(":", n=1, expand = True)
810
- split_portfolio[['W1_ID', 'W1']] = split_portfolio.W1.str.split(":", n=1, expand = True)
811
- split_portfolio[['W2_ID', 'W2']] = split_portfolio.W2.str.split(":", n=1, expand = True)
812
- split_portfolio[['D1_ID', 'D1']] = split_portfolio.D1.str.split(":", n=1, expand = True)
813
- split_portfolio[['D2_ID', 'D2']] = split_portfolio.D2.str.split(":", n=1, expand = True)
814
- split_portfolio[['UTIL1_ID', 'UTIL1']] = split_portfolio.UTIL1.str.split(":", n=1, expand = True)
815
- split_portfolio[['UTIL2_ID', 'UTIL2']] = split_portfolio.UTIL2.str.split(":", n=1, expand = True)
816
- split_portfolio[['G_ID', 'G']] = split_portfolio.G.str.split(":", n=1, expand = True)
817
 
818
- split_portfolio['C1'] = split_portfolio['C1'].str.strip()
819
- split_portfolio['C2'] = split_portfolio['C2'].str.strip()
820
- split_portfolio['W1'] = split_portfolio['W1'].str.strip()
821
- split_portfolio['W2'] = split_portfolio['W2'].str.strip()
822
- split_portfolio['D1'] = split_portfolio['D1'].str.strip()
823
- split_portfolio['D2'] = split_portfolio['D2'].str.strip()
824
- split_portfolio['UTIL1'] = split_portfolio['UTIL1'].str.strip()
825
- split_portfolio['UTIL2'] = split_portfolio['UTIL2'].str.strip()
826
- split_portfolio['G'] = split_portfolio['G'].str.strip()
827
-
828
- split_portfolio['Salary'] = sum([split_portfolio['C1'].map(player_salary_dict),
829
- split_portfolio['C2'].map(player_salary_dict),
830
- split_portfolio['W1'].map(player_salary_dict),
831
- split_portfolio['W2'].map(player_salary_dict),
832
- split_portfolio['D1'].map(player_salary_dict),
833
- split_portfolio['D2'].map(player_salary_dict),
834
- split_portfolio['UTIL1'].map(player_salary_dict),
835
- split_portfolio['UTIL2'].map(player_salary_dict),
836
- split_portfolio['G'].map(player_salary_dict)])
837
-
838
- split_portfolio['Projection'] = sum([split_portfolio['C1'].map(player_proj_dict),
839
- split_portfolio['C2'].map(player_proj_dict),
840
- split_portfolio['W1'].map(player_proj_dict),
841
- split_portfolio['W2'].map(player_proj_dict),
842
- split_portfolio['D1'].map(player_proj_dict),
843
- split_portfolio['D2'].map(player_proj_dict),
844
- split_portfolio['UTIL1'].map(player_proj_dict),
845
- split_portfolio['UTIL2'].map(player_proj_dict),
846
- split_portfolio['G'].map(player_proj_dict)])
847
-
848
- st.table(split_portfolio.head(10))
849
- split_portfolio['Ownership'] = sum([split_portfolio['C1'].map(player_own_dict),
850
- split_portfolio['C2'].map(player_own_dict),
851
- split_portfolio['W1'].map(player_own_dict),
852
- split_portfolio['W2'].map(player_own_dict),
853
- split_portfolio['D1'].map(player_own_dict),
854
- split_portfolio['D2'].map(player_own_dict),
855
- split_portfolio['UTIL1'].map(player_own_dict),
856
- split_portfolio['UTIL2'].map(player_own_dict),
857
- split_portfolio['G'].map(player_own_dict)])
858
-
859
  except:
860
  try:
861
  split_portfolio = portfolio_dataframe
@@ -1048,6 +1121,7 @@ with tab2:
1048
 
1049
  if site_var1 == 'Draftkings':
1050
  if insert_port == 1:
 
1051
  UserPortfolio = portfolio_dataframe[['C1', 'C2', 'W1', 'W2', 'W3', 'D1', 'D2', 'G', 'UTIL']]
1052
  elif insert_port == 0:
1053
  UserPortfolio = pd.DataFrame(columns = ['C1', 'C2', 'W1', 'W2', 'W3', 'D1', 'D2', 'G', 'UTIL'])
 
746
 
747
  try:
748
  try:
749
+ try:
750
+ portfolio_dataframe.columns=["C1", "C2", "W1", "W2", "W3", "D1", "D2", "G", "UTIL"]
751
+ split_portfolio = portfolio_dataframe
752
+ split_portfolio[['C1', 'C1_ID']] = split_portfolio.C1.str.split("(", n=1, expand = True)
753
+ split_portfolio[['C2', 'C2_ID']] = split_portfolio.C2.str.split("(", n=1, expand = True)
754
+ split_portfolio[['W1', 'W1_ID']] = split_portfolio.W1.str.split("(", n=1, expand = True)
755
+ split_portfolio[['W2', 'W2_ID']] = split_portfolio.W2.str.split("(", n=1, expand = True)
756
+ split_portfolio[['W3', 'W3_ID']] = split_portfolio.W3.str.split("(", n=1, expand = True)
757
+ split_portfolio[['D1', 'D1_ID']] = split_portfolio.D1.str.split("(", n=1, expand = True)
758
+ split_portfolio[['D2', 'D2_ID']] = split_portfolio.D2.str.split("(", n=1, expand = True)
759
+ split_portfolio[['G', 'G_ID']] = split_portfolio.G.str.split("(", n=1, expand = True)
760
+ split_portfolio[['UTIL', 'UTIL_ID']] = split_portfolio.UTIL.str.split("(", n=1, expand = True)
761
+
762
+ split_portfolio['C1'] = split_portfolio['C1'].str.strip()
763
+ split_portfolio['C2'] = split_portfolio['C2'].str.strip()
764
+ split_portfolio['W1'] = split_portfolio['W1'].str.strip()
765
+ split_portfolio['W2'] = split_portfolio['W2'].str.strip()
766
+ split_portfolio['W3'] = split_portfolio['W3'].str.strip()
767
+ split_portfolio['D1'] = split_portfolio['D1'].str.strip()
768
+ split_portfolio['D2'] = split_portfolio['D2'].str.strip()
769
+ split_portfolio['G'] = split_portfolio['G'].str.strip()
770
+ split_portfolio['UTIL'] = split_portfolio['UTIL'].str.strip()
771
+
772
+ st.table(split_portfolio.head(10))
773
+
774
+ split_portfolio['Salary'] = sum([split_portfolio['C1'].map(player_salary_dict),
775
+ split_portfolio['C2'].map(player_salary_dict),
776
+ split_portfolio['W1'].map(player_salary_dict),
777
+ split_portfolio['W2'].map(player_salary_dict),
778
+ split_portfolio['W3'].map(player_salary_dict),
779
+ split_portfolio['D1'].map(player_salary_dict),
780
+ split_portfolio['D2'].map(player_salary_dict),
781
+ split_portfolio['G'].map(player_salary_dict),
782
+ split_portfolio['UTIL'].map(player_salary_dict)])
783
+
784
+ split_portfolio['Projection'] = sum([split_portfolio['C1'].map(player_proj_dict),
785
+ split_portfolio['C2'].map(player_proj_dict),
786
+ split_portfolio['W1'].map(player_proj_dict),
787
+ split_portfolio['W2'].map(player_proj_dict),
788
+ split_portfolio['W3'].map(player_proj_dict),
789
+ split_portfolio['D1'].map(player_proj_dict),
790
+ split_portfolio['D2'].map(player_proj_dict),
791
+ split_portfolio['G'].map(player_proj_dict),
792
+ split_portfolio['UTIL'].map(player_proj_dict)])
793
+
794
+ split_portfolio['Ownership'] = sum([split_portfolio['C1'].map(player_own_dict),
795
+ split_portfolio['C2'].map(player_own_dict),
796
+ split_portfolio['W1'].map(player_own_dict),
797
+ split_portfolio['W2'].map(player_own_dict),
798
+ split_portfolio['W3'].map(player_own_dict),
799
+ split_portfolio['D1'].map(player_own_dict),
800
+ split_portfolio['D2'].map(player_own_dict),
801
+ split_portfolio['G'].map(player_own_dict),
802
+ split_portfolio['UTIL'].map(player_own_dict)])
803
 
 
 
 
 
 
 
 
 
 
804
 
805
+ except:
806
+ portfolio_dataframe.columns=["C1", "C2", "W1", "W2", "D1", "D2", "UTIL1", "UTIL2", "G"]
807
+
808
+ split_portfolio = portfolio_dataframe
809
+ split_portfolio[['C1_ID', 'C1']] = split_portfolio.C1.str.split(":", n=1, expand = True)
810
+ split_portfolio[['C2_ID', 'C2']] = split_portfolio.C2.str.split(":", n=1, expand = True)
811
+ split_portfolio[['W1_ID', 'W1']] = split_portfolio.W1.str.split(":", n=1, expand = True)
812
+ split_portfolio[['W2_ID', 'W2']] = split_portfolio.W2.str.split(":", n=1, expand = True)
813
+ split_portfolio[['D1_ID', 'D1']] = split_portfolio.D1.str.split(":", n=1, expand = True)
814
+ split_portfolio[['D2_ID', 'D2']] = split_portfolio.D2.str.split(":", n=1, expand = True)
815
+ split_portfolio[['UTIL1_ID', 'UTIL1']] = split_portfolio.UTIL1.str.split(":", n=1, expand = True)
816
+ split_portfolio[['UTIL2_ID', 'UTIL2']] = split_portfolio.UTIL2.str.split(":", n=1, expand = True)
817
+ split_portfolio[['G_ID', 'G']] = split_portfolio.G.str.split(":", n=1, expand = True)
818
+
819
+ split_portfolio['C1'] = split_portfolio['C1'].str.strip()
820
+ split_portfolio['C2'] = split_portfolio['C2'].str.strip()
821
+ split_portfolio['W1'] = split_portfolio['W1'].str.strip()
822
+ split_portfolio['W2'] = split_portfolio['W2'].str.strip()
823
+ split_portfolio['D1'] = split_portfolio['D1'].str.strip()
824
+ split_portfolio['D2'] = split_portfolio['D2'].str.strip()
825
+ split_portfolio['UTIL1'] = split_portfolio['UTIL1'].str.strip()
826
+ split_portfolio['UTIL2'] = split_portfolio['UTIL2'].str.strip()
827
+ split_portfolio['G'] = split_portfolio['G'].str.strip()
828
+
829
+ split_portfolio['Salary'] = sum([split_portfolio['C1'].map(player_salary_dict),
830
+ split_portfolio['C2'].map(player_salary_dict),
831
+ split_portfolio['W1'].map(player_salary_dict),
832
+ split_portfolio['W2'].map(player_salary_dict),
833
+ split_portfolio['D1'].map(player_salary_dict),
834
+ split_portfolio['D2'].map(player_salary_dict),
835
+ split_portfolio['UTIL1'].map(player_salary_dict),
836
+ split_portfolio['UTIL2'].map(player_salary_dict),
837
+ split_portfolio['G'].map(player_salary_dict)])
838
+
839
+ split_portfolio['Projection'] = sum([split_portfolio['C1'].map(player_proj_dict),
840
+ split_portfolio['C2'].map(player_proj_dict),
841
+ split_portfolio['W1'].map(player_proj_dict),
842
+ split_portfolio['W2'].map(player_proj_dict),
843
+ split_portfolio['D1'].map(player_proj_dict),
844
+ split_portfolio['D2'].map(player_proj_dict),
845
+ split_portfolio['UTIL1'].map(player_proj_dict),
846
+ split_portfolio['UTIL2'].map(player_proj_dict),
847
+ split_portfolio['G'].map(player_proj_dict)])
848
+
849
+ st.table(split_portfolio.head(10))
850
+ split_portfolio['Ownership'] = sum([split_portfolio['C1'].map(player_own_dict),
851
+ split_portfolio['C2'].map(player_own_dict),
852
+ split_portfolio['W1'].map(player_own_dict),
853
+ split_portfolio['W2'].map(player_own_dict),
854
+ split_portfolio['D1'].map(player_own_dict),
855
+ split_portfolio['D2'].map(player_own_dict),
856
+ split_portfolio['UTIL1'].map(player_own_dict),
857
+ split_portfolio['UTIL2'].map(player_own_dict),
858
+ split_portfolio['G'].map(player_own_dict)])
859
  except:
860
+ try:
861
+ portfolio_dataframe.columns=["C1", "C2", "W1", "W2", "W3", "D1", "D2", "G", "UTIL"]
862
+ split_portfolio = portfolio_dataframe
863
+
864
+ st.table(split_portfolio.head(10))
865
+
866
+ split_portfolio['Salary'] = sum([split_portfolio['C1'].map(player_salary_dict),
867
+ split_portfolio['C2'].map(player_salary_dict),
868
+ split_portfolio['W1'].map(player_salary_dict),
869
+ split_portfolio['W2'].map(player_salary_dict),
870
+ split_portfolio['W3'].map(player_salary_dict),
871
+ split_portfolio['D1'].map(player_salary_dict),
872
+ split_portfolio['D2'].map(player_salary_dict),
873
+ split_portfolio['G'].map(player_salary_dict),
874
+ split_portfolio['UTIL'].map(player_salary_dict)])
875
+
876
+ split_portfolio['Projection'] = sum([split_portfolio['C1'].map(player_proj_dict),
877
+ split_portfolio['C2'].map(player_proj_dict),
878
+ split_portfolio['W1'].map(player_proj_dict),
879
+ split_portfolio['W2'].map(player_proj_dict),
880
+ split_portfolio['W3'].map(player_proj_dict),
881
+ split_portfolio['D1'].map(player_proj_dict),
882
+ split_portfolio['D2'].map(player_proj_dict),
883
+ split_portfolio['G'].map(player_proj_dict),
884
+ split_portfolio['UTIL'].map(player_proj_dict)])
885
+
886
+ split_portfolio['Ownership'] = sum([split_portfolio['C1'].map(player_own_dict),
887
+ split_portfolio['C2'].map(player_own_dict),
888
+ split_portfolio['W1'].map(player_own_dict),
889
+ split_portfolio['W2'].map(player_own_dict),
890
+ split_portfolio['W3'].map(player_own_dict),
891
+ split_portfolio['D1'].map(player_own_dict),
892
+ split_portfolio['D2'].map(player_own_dict),
893
+ split_portfolio['G'].map(player_own_dict),
894
+ split_portfolio['UTIL'].map(player_own_dict)])
895
 
 
 
 
 
 
 
 
 
 
 
896
 
897
+ except:
898
+ portfolio_dataframe.columns=["C1", "C2", "W1", "W2", "D1", "D2", "UTIL1", "UTIL2", "G"]
899
+
900
+ split_portfolio = portfolio_dataframe
901
+
902
+ split_portfolio['Salary'] = sum([split_portfolio['C1'].map(player_salary_dict),
903
+ split_portfolio['C2'].map(player_salary_dict),
904
+ split_portfolio['W1'].map(player_salary_dict),
905
+ split_portfolio['W2'].map(player_salary_dict),
906
+ split_portfolio['D1'].map(player_salary_dict),
907
+ split_portfolio['D2'].map(player_salary_dict),
908
+ split_portfolio['UTIL1'].map(player_salary_dict),
909
+ split_portfolio['UTIL2'].map(player_salary_dict),
910
+ split_portfolio['G'].map(player_salary_dict)])
911
+
912
+ split_portfolio['Projection'] = sum([split_portfolio['C1'].map(player_proj_dict),
913
+ split_portfolio['C2'].map(player_proj_dict),
914
+ split_portfolio['W1'].map(player_proj_dict),
915
+ split_portfolio['W2'].map(player_proj_dict),
916
+ split_portfolio['D1'].map(player_proj_dict),
917
+ split_portfolio['D2'].map(player_proj_dict),
918
+ split_portfolio['UTIL1'].map(player_proj_dict),
919
+ split_portfolio['UTIL2'].map(player_proj_dict),
920
+ split_portfolio['G'].map(player_proj_dict)])
921
+
922
+ st.table(split_portfolio.head(10))
923
+ split_portfolio['Ownership'] = sum([split_portfolio['C1'].map(player_own_dict),
924
+ split_portfolio['C2'].map(player_own_dict),
925
+ split_portfolio['W1'].map(player_own_dict),
926
+ split_portfolio['W2'].map(player_own_dict),
927
+ split_portfolio['D1'].map(player_own_dict),
928
+ split_portfolio['D2'].map(player_own_dict),
929
+ split_portfolio['UTIL1'].map(player_own_dict),
930
+ split_portfolio['UTIL2'].map(player_own_dict),
931
+ split_portfolio['G'].map(player_own_dict)])
 
 
 
 
 
 
932
  except:
933
  try:
934
  split_portfolio = portfolio_dataframe
 
1121
 
1122
  if site_var1 == 'Draftkings':
1123
  if insert_port == 1:
1124
+ st.table(portfolio_dataframe)
1125
  UserPortfolio = portfolio_dataframe[['C1', 'C2', 'W1', 'W2', 'W3', 'D1', 'D2', 'G', 'UTIL']]
1126
  elif insert_port == 0:
1127
  UserPortfolio = pd.DataFrame(columns = ['C1', 'C2', 'W1', 'W2', 'W3', 'D1', 'D2', 'G', 'UTIL'])