数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -5,6 +5,7 @@ from scipy.stats import levene
 import datetime
 from utils import con_sql
 from decimal import *
+import numpy as np
 
 #########推荐策略前后统计指标假设检验（t检验）###############
 
@@ -301,10 +302,14 @@ def get_var_data(x,y,z,t1):
     where stat_date >= '{3}' ".format(x,y,z,t1)
     CVR_DATA_recently = con_sql(sql_cid)
     return CVR_DATA_recently
+def collect_data(data):
+    tt = [float(data[i][0]) for i in range(len(data))]
+    return tt
 
 test_data=get_var_data("diary_meigou_oldUser","diary_exp_oldUser","diary_meigou_crv",five_days)
-tt=[float(test_data[i][0]) for i in range(len(test_data))]
-print(tt)
+tt=collect_data(test_data)
+lin=np.var(tt)
+print(lin)
 
 # print(chi_ctr_precise_recently)
 # print(chi_ctr_precise_yesterday)