数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -159,24 +159,27 @@ ctr_old_o_ttest=t_test(x_ctr_old_o,y_ctr_old_o)
 # #1 计算每日指标卡方检验
 #
 # #自动获取5日前的日期
-# def get_fivedate():
-# 	#自动获取10日前的日期,如"2018-07-28"
-# 	"""
-# 	:rtype : str
-# 	"""
-# 	today = datetime.date.today()
-# 	someday = today - datetime.timedelta(days=5)
-# 	someday = someday.strftime("%Y-%m-%d")
-# 	return someday
-# five_days=get_fivedate()
-#
-# #获取最近5天的数据
-# def chi_DATA_recently(x,y,z):
-#     sql_cid = "select AVG({0}),AVG({1}) from {2} \
-#     where stat_date >= five_days and stat_date<yesterday union all select {0},{1} from {2} where stat_date=yesterday}".format(x,y,z)
-#     CVR_DATA_recently = con_sql(sql_cid)[0][0]
-#     return CVR_DATA_recently
+def get_fivedate():
+	#自动获取10日前的日期,如"2018-07-28"
+	"""
+	:rtype : str
+	"""
+	today = datetime.date.today()
+	someday = today - datetime.timedelta(days=5)
+	someday = someday.strftime("%Y-%m-%d")
+	return someday
+five_days=get_fivedate()
+
+#获取最近5天的数据
+def chi_DATA_recently(x,y,z,q,t1,t2):
+    sql_cid = "select AVG({0}+{1}),AVG({2}) from {3} \
+    where stat_date >= '{4}' and stat_date < '{5}' union all select {0}+{1},{2} from {3} where stat_date='{}' ".format(x,y,z,q,t1,t2)
+    CVR_DATA_recently = con_sql(sql_cid)
+    return CVR_DATA_recently
 
+testtest=chi_DATA_recently("clk_count_oldUser_all_a","clk_count_oldUser_all_b","imp_count_oldUser_all","on_click_diary_card",five_days,yesterday)
+print(testtest)
+print(type(testtest))
 
 # chi_cvr_new=
 # chi_cvr_old=