数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -4,6 +4,7 @@ from scipy.stats import ttest_ind
 from scipy.stats import levene
 import datetime
 from utils import con_sql
+from decimal import *
 
 #########推荐策略前后统计指标假设检验（t检验）###############
 
@@ -49,9 +50,9 @@ def DATA_fixed(x,y,z,q):
 #
 # #新用户cvr
 x_crv_new_temp=DATA_recently("diary_meigou_newUser","diary_clk_newUser","CVR_new","diary_meigou_crv",ten_days)
-x_crv_new=[x_crv_new_temp[i][0] for i in range(len(x_crv_new_temp))]
+x_crv_new=[str(Decimal(x_crv_new_temp[i][0]).quantize('0.0000')) for i in range(len(x_crv_new_temp))]
 print(type(x_crv_new))
-print(type(x_crv_new_temp[0][0]))
+print(x_crv_new)
 # y_crv_new_temp=DATA_fixed("diary_meigou_newUser","diary_clk_newUser","CVR_new","diary_meigou_crv")
 # y_crv_new=[y_crv_new_temp[i][0] for i in range(len(y_crv_new_temp))]
 # print(type(y_crv_new[0]))