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001d4b3
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1 Parent(s): 29c7667

Update app.py

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Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -107,10 +107,10 @@ def hitter_seasonlong_build(data_sample):
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  season_long_table['GDP'] = data_sample.groupby(['Player', 'Team'], sort=False)['GDP'].transform('sum').astype(int)
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  season_long_table['SB'] = data_sample.groupby(['Player', 'Team'], sort=False)['SB'].transform('sum').astype(int)
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  season_long_table['CS'] = data_sample.groupby(['Player', 'Team'], sort=False)['CS'].transform('sum').astype(int)
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- season_long_table['Avg AVG'] = data_sample.groupby(['Player', 'Team'], sort=False)['AVG'].transform('mean').astype(int)
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- season_long_table['Avg SLG'] = data_sample.groupby(['Player', 'Team'], sort=False)['SLG'].transform('mean').astype(int)
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- season_long_table['Avg wRC+'] = data_sample.groupby(['Player', 'Team'], sort=False)['wRC+'].transform('mean').astype(int)
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- season_long_table['Avg LD%'] = data_sample.groupby(['Player', 'Team'], sort=False)['LD%'].transform('mean').astype(int)
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  season_long_table['Avg GB%'] = data_sample.groupby(['Player', 'Team'], sort=False)['GB%'].transform('mean').astype(float)
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  season_long_table['Avg FB%'] = data_sample.groupby(['Player', 'Team'], sort=False)['FB%'].transform('mean').astype(float)
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  season_long_table['Avg Hard%'] = data_sample.groupby(['Player', 'Team'], sort=False)['Hard%'].transform('mean').astype(float)
 
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  season_long_table['GDP'] = data_sample.groupby(['Player', 'Team'], sort=False)['GDP'].transform('sum').astype(int)
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  season_long_table['SB'] = data_sample.groupby(['Player', 'Team'], sort=False)['SB'].transform('sum').astype(int)
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  season_long_table['CS'] = data_sample.groupby(['Player', 'Team'], sort=False)['CS'].transform('sum').astype(int)
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+ season_long_table['Avg AVG'] = data_sample.groupby(['Player', 'Team'], sort=False)['AVG'].transform('mean').astype(float)
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+ season_long_table['Avg SLG'] = data_sample.groupby(['Player', 'Team'], sort=False)['SLG'].transform('mean').astype(float)
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+ season_long_table['Avg wRC+'] = data_sample.groupby(['Player', 'Team'], sort=False)['wRC+'].transform('mean').astype(float)
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+ season_long_table['Avg LD%'] = data_sample.groupby(['Player', 'Team'], sort=False)['LD%'].transform('mean').astype(float)
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  season_long_table['Avg GB%'] = data_sample.groupby(['Player', 'Team'], sort=False)['GB%'].transform('mean').astype(float)
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  season_long_table['Avg FB%'] = data_sample.groupby(['Player', 'Team'], sort=False)['FB%'].transform('mean').astype(float)
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  season_long_table['Avg Hard%'] = data_sample.groupby(['Player', 'Team'], sort=False)['Hard%'].transform('mean').astype(float)