数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -50,11 +50,11 @@ 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))]
-# print(type(x_crv_new))
-# 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]))
+print(type(x_crv_new))
+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]))
 # #老用户cvr
 # x_crv_old=DATA_recently("diary_meigou_oldUser","diary_clk_oldUser","CVR_old","diary_meigou_crv")
 # y_crv_old=DATA_fixed("diary_meigou_oldUser","diary_clk_oldUser","CVR_old","diary_meigou_crv")
@@ -111,7 +111,7 @@ def t_test(x,y): #进行t检验
 # ###假设检验，判断是否具有显著性
 #
 #新用户cvr假设检验
-crv_new_ttest=t_test(x_crv_new,y_crv_new)
+# crv_new_ttest=t_test(x_crv_new,y_crv_new)
 #老用户cvr假设检验
 # crv_old_ttest=t_test(x_crv_old,y_crv_old)
 #