数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -264,7 +264,7 @@ cvr_old2=[float(chi_cvr_old_yesterday[i]) for i in range(len(chi_cvr_old_yesterd
 cvr_tst_old=data_cal(cvr_old,cvr_old2)
 chi_cal(cvr_tst_old)
 #老用户美购转化数据
-print("【3】新用户CVR数据波动假设检验结果：")
+print("【4】新用户CVR数据波动假设检验结果：")
 chi_cvr_new_recently=chi_DATA_recently_all("diary_meigou_newUser","diary_clk_newUser","diary_meigou_crv",five_days,yesterday)
 cvr_new=[float(str(Decimal(chi_cvr_new_recently[i]).quantize(Decimal('0.0')))) for i in range(len(chi_cvr_new_recently))]
 # print(temp1)
@@ -274,7 +274,7 @@ cvr_new2=[float(chi_cvr_new_yesterday[i]) for i in range(len(chi_cvr_new_yesterd
 cvr_tst_new=data_cal(cvr_new,cvr_new2)
 chi_cal(cvr_tst_new)
 #老用户美购转化数据
-print("【3】老用户CT-CVR数据波动假设检验结果：")
+print("【5】老用户CT-CVR数据波动假设检验结果：")
 chi_ctcvr_old_recently=chi_DATA_recently_all("diary_meigou_oldUser","diary_exp_oldUser","diary_meigou_crv",five_days,yesterday)
 ctcvr_old=[float(str(Decimal(chi_ctcvr_old_recently[i]).quantize(Decimal('0.0')))) for i in range(len(chi_ctcvr_old_recently))]
 # print(temp1)
@@ -284,7 +284,7 @@ ctcvr_old2=[float(chi_ctcvr_old_yesterday[i]) for i in range(len(chi_ctcvr_old_y
 ctcvr_tst_old=data_cal(ctcvr_old,ctcvr_old2)
 chi_cal(ctcvr_tst_old)
 #老用户美购转化数据
-print("【3】新用户CT-CVR数据波动假设检验结果：")
+print("【6】新用户CT-CVR数据波动假设检验结果：")
 chi_ctcvr_new_recently=chi_DATA_recently_all("diary_meigou_newUser","diary_exp_newUser","diary_meigou_crv",five_days,yesterday)
 ctcvr_new=[float(str(Decimal(chi_ctcvr_new_recently[i]).quantize(Decimal('0.0')))) for i in range(len(chi_ctcvr_new_recently))]
 # print(temp1)
@@ -305,7 +305,7 @@ def get_var_data(x,y,z,t1):
 def collect_data(data):
     tt = [float(data[i][0])*100 for i in range(len(data))]
     return tt
-
+print("【1】新用户CT-CVR数据波动5日内方差检验结果：")
 test_data=get_var_data("diary_meigou_oldUser","diary_exp_oldUser","diary_meigou_crv",five_days)
 tt=collect_data(test_data)
 lin=np.var(tt)
@@ -313,7 +313,7 @@ print(lin)
 
 # print(chi_ctr_precise_recently)
 # print(chi_ctr_precise_yesterday)
-
+print("============================分割线===================================")
 
 
 # chi_cvr_new=