update

ad_users_data_update.py

@@ -25,7 +25,7 @@ def predict_user_group_share_rate(project, table, dt, app_type):
     user_group_df['sharerate_all'] = user_group_df['sharerate_all'].astype(float)
     user_group_df['sharerate_ad'] = user_group_df['sharerate_ad'].astype(float)
     # 获取有广告时所有用户组近30天的分享率
-    ad_all_group_share_rate = user_group_df[user_group_df['group'] == 'allmids']['sharerate_ad']
+    ad_all_group_share_rate = user_group_df[user_group_df['group'] == 'allmids']['sharerate_ad'].values[0]
     user_group_df = user_group_df[user_group_df['group'] != 'allmids']
     # 计算用户组有广告时分享率
     user_group_df['group_ad_share_rate'] = \

ad_video_data_upate.py

@@ -26,7 +26,7 @@ def predict_video_share_rate(project, table, dt, app_type):
     video_df['sharerate_all'] = video_df['sharerate_all'].astype(float)
     video_df['sharerate_ad'] = video_df['sharerate_ad'].astype(float)
     # 获取有广告时所有视频近30天的分享率
-    ad_all_videos_share_rate = video_df[video_df['videoid'] == 'allvideos']['sharerate_ad']
+    ad_all_videos_share_rate = video_df[video_df['videoid'] == 'allvideos']['sharerate_ad'].values[0]
     video_df = video_df[video_df['videoid'] != 'allvideos']
     # 计算视频有广告时分享率
     video_df['video_ad_share_rate'] = \