pip install XXDScorecard

scorecard developing utilities.

import XXDScorecard.XXDBinning as binning

from sklearn.model_selection import train_test_split

df = pd.read_csv('data.csv')

train_df, test_df = train_test_split(df,test_size=0.3,random_state=100,stratify=df.flgGood)

nb = binning.XXDNumberBin()

nb.pct_bin(train_df,'req_inc_ratio','flgGood',max_bin=10)

nb.get_bin_stats()

nb.plot_woe()

nb.trans_to_woe(test_df['req_inc_ratio'])

nb.manual_bin(train_df,'req_inc_ratio','flgGood',[20,30,40])

nb.monotone_bin(train_df,'req_inc_ratio','flgGood',max_bin=3)

cb = binning.XXDCharBin()

cb.pct_bin(train_df,'name','flgGood')

cb.plot_woe()

cb.get_bin_stats()

cb.manual_bin(train_df,'name','flgGood',[['yuqing','xuxiaodong'],['jack ma'],['yq','dd','xxd','qq']])

cb.trans_to_woe(test_df['name'])