数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -183,9 +183,11 @@ def chi_DATA_yesterday(x,y,z,q,t1):
 
 chi_ctr_precise_recently=chi_DATA_recently("clk_count_oldUser_all_a","clk_count_oldUser_all_b","imp_count_oldUser_all_precise","on_click_diary_card",five_days,yesterday)
 temp1=[float(str(Decimal(chi_ctr_precise_recently[i]).quantize(Decimal('0.0')))) for i in range(len(chi_ctr_precise_recently))]
+temp1_a=[temp1[0],temp1[1]-temp1[0]]
 print(temp1)
 chi_ctr_precise_yesterday=chi_DATA_yesterday("clk_count_oldUser_all_a","clk_count_oldUser_all_b","imp_count_oldUser_all_precise","on_click_diary_card",yesterday)
 temp2=[float(chi_ctr_precise_yesterday[i]) for i in range(len(chi_ctr_precise_yesterday))]
+temp2_a=[temp2[0],temp2[1]-temp2[0]]
 print(temp2)
 
 a3=pd.DataFrame({'原':temp1,'测':temp2})