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python_两个数据集拼接&join操作

t3 = dataset3[['user_id','coupon_id','date_received']]t3 = pd.merge(t3,t2,on=['user_id','coupon_id'],how='left')t3['this_month_user_receive_same_coupon_lastone'] = t3.max_date_received - t3.date_receivedt3['this_month_user_receive_same_coupon_firstone'] = t3.date_received - t3.min_date_received#根据多个字段就进行mergeother_feature3 = pd.merge(t1,t,on='user_id')other_feature3 = pd.merge(other_feature3,t3,on=['user_id','coupon_id'])other_feature3 = pd.merge(other_feature3,t4,on=['user_id','date_received'])other_feature3 = pd.merge(other_feature3,t5,on=['user_id','coupon_id','date_received'])other_feature3 = pd.merge(other_feature3,t7,on=['user_id','coupon_id','date_received'])other_feature3.to_csv('data/other_feature3.csv',index=None)#拼接数据集#两个数据框合并为一个df_train_stmt = pd.concat([df_train_stmt,df_train_stmt_test],axis = 0)