统计指标恢复到用老用户做分母

ctr-56.py

@@ -33,12 +33,24 @@ def ctr_all():
     cursor.execute(sql_active)
     result = cursor.fetchall()
     tail56 = pd.DataFrame(list(result))[0].values.tolist()
-    cover = len(set(tail56) & set(device_id))
-    print("当天尾号5或6活跃用户总数：")
-    print(len(tail56))
+
+    start = "2018-09-05"
+    sql_all = "select distinct device_id from data_feed_click " \
+              "where stat_date >= '{}' and stat_date <= '{}' and cid_type = 'diary'".format(start, date)
+    cursor.execute(sql_all)
+    result_all = cursor.fetchall()
+    df = pd.DataFrame(list(result_all))
+    all_user = df[0].values.tolist()
+    print("老用户总数：")
+    print(len(all_user))
+    day_all = set(all_user) & set(tail56)
+    print("当天老用户总数：")
+    print(len(day_all))
+    cover = len(day_all & set(device_id))
+
     print("当天尾号5或6活跃用户覆盖数：")
     print(cover)
-    cover_percent = format(cover / len(tail56),".3f")
+    cover_percent = format(cover / len(day_all), ".3f")
     print("当天尾号5或6活跃用户覆盖率：")
     print(cover_percent)
     sql_click = "select count(cid) from data_feed_click " \
@@ -54,7 +66,7 @@ def ctr_all():
     exp = cursor.fetchone()[0]
     print("曝光数：" + str(exp))
     print("点击率：" + str(click / exp))
-    return len(tail56),cover,cover_percent,click,exp,format(click/exp,".6f")
+    return len(day_all),cover,cover_percent,click,exp,format(click/exp,".6f")
 
 
 def ctr():