add

make_data.py

@@ -62,23 +62,23 @@ 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)
+ #    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)
     print("doctor end")
@@ -152,27 +152,27 @@ def hospital():
               "doctor_ad_money_30_days","service_pv_30","mexpert_pv_30","organization_pv_30",
               "doctor_discount_30_days"]
     data = df.loc[:, columns]
-    renames = {'doctor_id': '机构管理者id',
- 'score': '得分',
- 'ctr': '点击率',
- 'commission': '单pv佣金贡献',
- 'cpt': '单pv的CPT消耗',
- 'hospital_id': '医院id',
- 'hospital_exposure_pv_30': '该医院卡片的曝光-30天',
- 'service_exposure_pv_30': '该医院名下所有美购的曝光-30天',
- 'expert_exposure_pv_30': '机构名下所有医生卡片曝光-30天',
- 'service_ctr_30': '机构名下所有美购ctr-30天',
- 'hospital_ctr_30': '医院卡片ctr-30天',
- 'expert_ctr_30': '机构名下所有医生ctr-30天',
- 'merchant_id': '商户id',
- 'budan_payment_30_days': '30天已补订单佣金',
- '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',
- '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',
- 'doctor_discount_30_days': '该商户的CPT纯消耗金额'}
-
-    data = data.rename(columns=renames)
+ #    renames = {'doctor_id': '机构管理者id',
+ # 'score': '得分',
+ # 'ctr': '点击率',
+ # 'commission': '单pv佣金贡献',
+ # 'cpt': '单pv的CPT消耗',
+ # 'hospital_id': '医院id',
+ # 'hospital_exposure_pv_30': '该医院卡片的曝光-30天',
+ # 'service_exposure_pv_30': '该医院名下所有美购的曝光-30天',
+ # 'expert_exposure_pv_30': '机构名下所有医生卡片曝光-30天',
+ # 'service_ctr_30': '机构名下所有美购ctr-30天',
+ # 'hospital_ctr_30': '医院卡片ctr-30天',
+ # 'expert_ctr_30': '机构名下所有医生ctr-30天',
+ # 'merchant_id': '商户id',
+ # 'budan_payment_30_days': '30天已补订单佣金',
+ # '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',
+ # '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',
+ # 'doctor_discount_30_days': '该商户的CPT纯消耗金额'}
+ #
+ #    data = data.rename(columns=renames)
     data = data.drop_duplicates()
 
     print(data.head(6))