add

make_data.py

@@ -62,6 +62,22 @@ def doctor():
             "merchant_id","doctor_ad_money_30_days","expand_rechange_amount_30","service_pv_30",
             "mexpert_pv_30","organization_pv_30","budan_payment_30_days"]
     data = df.loc[:, columns]
+    renames = {'doctor_id': '医生id',
+ 'score': '得分',
+ 'ctr': '点击率',
+ 'commission': '单pv佣金贡献',
+ 'pv_ad': '单pv广告消耗',
+ 'service_exposure_pv_30': '30天内美购曝光pv',
+ 'service_ctr_30': '30天内美购ctr',
+ 'expert_exposure_pv_30': '医生曝光次数-30天',
+ 'expert_pv_30': '医生主页PV-30天',
+ 'merchant_id': '商户id',
+ 'doctor_ad_money_30_days': '商户名下非医生、机构账号的验证订单抽成之和',
+ 'expand_rechange_amount_30': '统计期内该商户的广告消耗（CPC+CPT+其他',
+ 'service_pv_30': '该商户名下所有美购的美购详情页PV',
+ 'mexpert_pv_30': '该商户名下所有医生主页PV',
+ 'organization_pv_30': '该商户名下机构主页PV',
+ 'budan_payment_30_days': '30天已补订单佣金'}
     data = data.rename(columns=renames)
     data = data.drop_duplicates()
     data.to_csv('/tmp/doctor.csv',index=False)
@@ -164,6 +180,6 @@ def hospital():
 
 
 if __name__ == "__main__":
-    # doctor()
+    doctor()
     hospital()