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James McCool commited on
Commit
4723d1e
·
1 Parent(s): 12a3239

Refactor data export logic in app.py: remove index settings for player position columns in Draftkings and Fanduel exports, simplifying the export process while ensuring accurate data representation for NBA and WNBA leagues.

Browse files
Files changed (1) hide show
  1. app.py +22 -22
app.py CHANGED
@@ -646,7 +646,6 @@ with tab2:
646
  if slate_type_var1 == 'Regular':
647
  if league_var == 'NBA':
648
  map_columns = ['PG', 'SG', 'SF', 'PF', 'C', 'G', 'F', 'FLEX']
649
- data_export = data_export.set_index('PG').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
650
  elif league_var == 'WNBA':
651
  map_columns = ['G1', 'G2', 'F1', 'F2', 'F3', 'UTIL']
652
  elif slate_type_var1 == 'Showdown':
@@ -657,13 +656,10 @@ with tab2:
657
  if slate_type_var1 == 'Regular':
658
  if league_var == 'NBA':
659
  map_columns = ['PG1', 'PG2', 'SG1', 'SG2', 'SF1', 'SF2', 'PF1', 'PF2', 'C1', 'C2', 'UTIL']
660
- data_export = data_export.set_index('PG1').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
661
  elif league_var == 'WNBA':
662
  map_columns = ['G1', 'G2', 'G3', 'F1', 'F2', 'F3', 'F4']
663
- data_export = data_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
664
  elif slate_type_var1 == 'Showdown':
665
  map_columns = ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4']
666
- data_export = data_export.set_index('CPT').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
667
  for col_idx in map_columns:
668
  data_export[col_idx] = data_export[col_idx].map(id_dict)
669
  st.download_button(
@@ -676,19 +672,23 @@ with tab2:
676
  if site_var2 == 'Draftkings':
677
  if slate_type_var1 == 'Regular':
678
  if league_var == 'NBA':
679
- name_export = name_export.set_index('PG').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
680
  elif league_var == 'WNBA':
681
- name_export = name_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
682
  elif slate_type_var1 == 'Showdown':
683
- name_export = name_export.set_index('CPT').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
 
 
684
  elif site_var2 == 'Fanduel':
685
  if slate_type_var1 == 'Regular':
686
  if league_var == 'NBA':
687
- name_export = name_export.set_index('PG1').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
688
  elif league_var == 'WNBA':
689
- name_export = name_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
690
  elif slate_type_var1 == 'Showdown':
691
- name_export = name_export.set_index('CPT').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
 
 
692
  st.download_button(
693
  label="Portfolio Manager Export (Names)",
694
  data=convert_pm_df(name_export),
@@ -749,19 +749,19 @@ with tab2:
749
  if site_var2 == 'Draftkings':
750
  if slate_type_var1 == 'Regular':
751
  if league_var == 'NBA':
752
- data_export = data_export.set_index('PG').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
753
  elif league_var == 'WNBA':
754
- data_export = data_export.set_index('G1').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
755
  elif slate_type_var1 == 'Showdown':
756
- data_export = data_export.set_index('CPT').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
757
  elif site_var2 == 'Fanduel':
758
  if slate_type_var1 == 'Regular':
759
  if league_var == 'NBA':
760
- data_export = data_export.set_index('PG1').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
761
  elif league_var == 'WNBA':
762
- data_export = data_export.set_index('G1').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
763
  elif slate_type_var1 == 'Showdown':
764
- data_export = data_export.set_index('CPT').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
765
  st.download_button(
766
  label="Portfolio Manager Export (IDs)",
767
  data=convert_pm_df(data_export),
@@ -772,19 +772,19 @@ with tab2:
772
  if site_var2 == 'Draftkings':
773
  if slate_type_var1 == 'Regular':
774
  if league_var == 'NBA':
775
- name_export = name_export.set_index('PG').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
776
  elif league_var == 'WNBA':
777
- name_export = name_export.set_index('G1').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
778
  elif slate_type_var1 == 'Showdown':
779
- name_export = name_export.set_index('CPT').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
780
  elif site_var2 == 'Fanduel':
781
  if slate_type_var1 == 'Regular':
782
  if league_var == 'NBA':
783
- name_export = name_export.set_index('PG1').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
784
  elif league_var == 'WNBA':
785
- name_export = name_export.set_index('G1').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
786
  elif slate_type_var1 == 'Showdown':
787
- name_export = name_export.set_index('CPT').drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
788
  st.download_button(
789
  label="Portfolio Manager Export (Names)",
790
  data=convert_pm_df(name_export),
 
646
  if slate_type_var1 == 'Regular':
647
  if league_var == 'NBA':
648
  map_columns = ['PG', 'SG', 'SF', 'PF', 'C', 'G', 'F', 'FLEX']
 
649
  elif league_var == 'WNBA':
650
  map_columns = ['G1', 'G2', 'F1', 'F2', 'F3', 'UTIL']
651
  elif slate_type_var1 == 'Showdown':
 
656
  if slate_type_var1 == 'Regular':
657
  if league_var == 'NBA':
658
  map_columns = ['PG1', 'PG2', 'SG1', 'SG2', 'SF1', 'SF2', 'PF1', 'PF2', 'C1', 'C2', 'UTIL']
 
659
  elif league_var == 'WNBA':
660
  map_columns = ['G1', 'G2', 'G3', 'F1', 'F2', 'F3', 'F4']
 
661
  elif slate_type_var1 == 'Showdown':
662
  map_columns = ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4']
 
663
  for col_idx in map_columns:
664
  data_export[col_idx] = data_export[col_idx].map(id_dict)
665
  st.download_button(
 
672
  if site_var2 == 'Draftkings':
673
  if slate_type_var1 == 'Regular':
674
  if league_var == 'NBA':
675
+ map_columns = ['PG', 'SG', 'SF', 'PF', 'C', 'G', 'F', 'FLEX']
676
  elif league_var == 'WNBA':
677
+ map_columns = ['G1', 'G2', 'F1', 'F2', 'F3', 'UTIL']
678
  elif slate_type_var1 == 'Showdown':
679
+ map_columns = ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5']
680
+ for col_idx in map_columns:
681
+ name_export[col_idx] = name_export[col_idx].map(id_dict)
682
  elif site_var2 == 'Fanduel':
683
  if slate_type_var1 == 'Regular':
684
  if league_var == 'NBA':
685
+ map_columns = ['PG1', 'PG2', 'SG1', 'SG2', 'SF1', 'SF2', 'PF1', 'PF2', 'C1', 'C2', 'UTIL']
686
  elif league_var == 'WNBA':
687
+ map_columns = ['G1', 'G2', 'G3', 'F1', 'F2', 'F3', 'F4']
688
  elif slate_type_var1 == 'Showdown':
689
+ map_columns = ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4']
690
+ for col_idx in map_columns:
691
+ name_export[col_idx] = name_export[col_idx].map(id_dict)
692
  st.download_button(
693
  label="Portfolio Manager Export (Names)",
694
  data=convert_pm_df(name_export),
 
749
  if site_var2 == 'Draftkings':
750
  if slate_type_var1 == 'Regular':
751
  if league_var == 'NBA':
752
+ data_export = data_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
753
  elif league_var == 'WNBA':
754
+ data_export = data_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
755
  elif slate_type_var1 == 'Showdown':
756
+ data_export = data_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
757
  elif site_var2 == 'Fanduel':
758
  if slate_type_var1 == 'Regular':
759
  if league_var == 'NBA':
760
+ data_export = data_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
761
  elif league_var == 'WNBA':
762
+ data_export = data_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
763
  elif slate_type_var1 == 'Showdown':
764
+ data_export = data_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
765
  st.download_button(
766
  label="Portfolio Manager Export (IDs)",
767
  data=convert_pm_df(data_export),
 
772
  if site_var2 == 'Draftkings':
773
  if slate_type_var1 == 'Regular':
774
  if league_var == 'NBA':
775
+ name_export = name_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
776
  elif league_var == 'WNBA':
777
+ name_export = name_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
778
  elif slate_type_var1 == 'Showdown':
779
+ name_export = name_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
780
  elif site_var2 == 'Fanduel':
781
  if slate_type_var1 == 'Regular':
782
  if league_var == 'NBA':
783
+ name_export = name_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
784
  elif league_var == 'WNBA':
785
+ name_export = name_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
786
  elif slate_type_var1 == 'Showdown':
787
+ name_export = name_export.drop(columns=['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own'], axis=1)
788
  st.download_button(
789
  label="Portfolio Manager Export (Names)",
790
  data=convert_pm_df(name_export),