构建信用评分卡模型通用步骤实现细节(一) - 数据获取

tain_data = pd.read_csv('./source/train-data.csv')
tain_data.head(n=2)
   
Unnamed: 0	Unnamed: 0.1	SeriousDlqin2yrs	RevolvingUtilizationOfUnsecuredLines	age	NumberOfTime30-59DaysPastDueNotWorse	DebtRatio	MonthlyIncome	NumberOfOpenCreditLinesAndLoans	NumberOfTimes90DaysLate	NumberRealEstateLoansOrLines	NumberOfTime60-89DaysPastDueNotWorse	NumberOfDependents
0	0	1	1	0.766127	45	2	0.802982	9120.0	13	0	6	0	2.0
1	1	2	0	0.957151	40	0	0.121876	2600.0	4	0	0	0	1.0

columns_replace= {
'SeriousDlqin2yrs':'target',       'RevolvingUtilizationOfUnsecuredLines':'percentage',
'NumberOfOpenCreditLinesAndLoans':'open_loan',
'NumberOfTimes90DaysLate':'90-',
'NumberRealEstateLoansOrLines':'estate_loan',
'NumberOfTime60-89DaysPastDueNotWorse':'60-89',
'NumberOfDependents':'Dependents',
'NumberOfTime30-59DaysPastDueNotWorse':'30-59'
}

ain_data.rename(columns=columns_replace, inplace=True)
tain_data.head(n=20)