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NBA_Betting_Models
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Multichem commited on
Commit
fa9cbf0
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1 Parent(s): 8990830

Update app.py

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Files changed (1) hide show
  1. app.py +0 -8
app.py CHANGED
@@ -451,7 +451,6 @@ with tab5:
451
  prop_df = pick_frame[['Full_name', 'over_prop', 'over_line', 'under_line', 'prop_type']]
452
  prop_df.rename(columns={"Full_name": "Player"}, inplace = True)
453
  if prop_type_var == "points":
454
- prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
455
  prop_df = prop_df.loc[prop_df['prop_type'] == 'points']
456
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
457
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -461,7 +460,6 @@ with tab5:
461
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
462
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
463
  elif prop_type_var == "rebounds":
464
- prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
465
  prop_df = prop_df.loc[prop_df['prop_type'] == 'rebounds']
466
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
467
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -471,7 +469,6 @@ with tab5:
471
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
472
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
473
  elif prop_type_var == "assists":
474
- prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
475
  prop_df = prop_df.loc[prop_df['prop_type'] == 'assists']
476
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
477
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -481,7 +478,6 @@ with tab5:
481
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
482
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
483
  elif prop_type_var == "threes":
484
- prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
485
  prop_df = prop_df.loc[prop_df['prop_type'] == 'threes']
486
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
487
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -491,7 +487,6 @@ with tab5:
491
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
492
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
493
  elif prop_type_var == "PRA":
494
- prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
495
  prop_df = prop_df.loc[prop_df['prop_type'] == 'PRA']
496
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
497
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -501,7 +496,6 @@ with tab5:
501
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
502
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
503
  elif prop_type_var == "points+rebounds":
504
- prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
505
  prop_df = prop_df.loc[prop_df['prop_type'] == 'points+rebounds']
506
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
507
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -511,7 +505,6 @@ with tab5:
511
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
512
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
513
  elif prop_type_var == "points+assists":
514
- prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
515
  prop_df = prop_df.loc[prop_df['prop_type'] == 'points+assists']
516
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
517
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -521,7 +514,6 @@ with tab5:
521
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
522
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
523
  elif prop_type_var == "rebounds+assists":
524
- prop_df = prop_frame[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
525
  prop_df = prop_df.loc[prop_df['prop_type'] == 'rebounds+assists']
526
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
527
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
 
451
  prop_df = pick_frame[['Full_name', 'over_prop', 'over_line', 'under_line', 'prop_type']]
452
  prop_df.rename(columns={"Full_name": "Player"}, inplace = True)
453
  if prop_type_var == "points":
 
454
  prop_df = prop_df.loc[prop_df['prop_type'] == 'points']
455
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
456
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
 
460
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
461
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
462
  elif prop_type_var == "rebounds":
 
463
  prop_df = prop_df.loc[prop_df['prop_type'] == 'rebounds']
464
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
465
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
 
469
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
470
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
471
  elif prop_type_var == "assists":
 
472
  prop_df = prop_df.loc[prop_df['prop_type'] == 'assists']
473
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
474
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
 
478
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
479
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
480
  elif prop_type_var == "threes":
 
481
  prop_df = prop_df.loc[prop_df['prop_type'] == 'threes']
482
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
483
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
 
487
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
488
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
489
  elif prop_type_var == "PRA":
 
490
  prop_df = prop_df.loc[prop_df['prop_type'] == 'PRA']
491
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
492
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
 
496
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
497
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
498
  elif prop_type_var == "points+rebounds":
 
499
  prop_df = prop_df.loc[prop_df['prop_type'] == 'points+rebounds']
500
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
501
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
 
505
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
506
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
507
  elif prop_type_var == "points+assists":
 
508
  prop_df = prop_df.loc[prop_df['prop_type'] == 'points+assists']
509
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
510
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
 
514
  prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
515
  df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
516
  elif prop_type_var == "rebounds+assists":
 
517
  prop_df = prop_df.loc[prop_df['prop_type'] == 'rebounds+assists']
518
  prop_df = prop_df[['Player', 'over_prop', 'over_line', 'under_line']]
519
  prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)