数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -206,8 +206,11 @@ def chi_cal(data):
 
     ###理论值计算
     temp1=data.loc['共计']
+    print("共计：{}".format(temp1))
     rate1=temp1[0]/temp1[2]
+    print("rate1:{}".format(rate1))
     rate2=temp1[1]/temp1[2]
+    print("rate2:{}".format(rate2))
     temp2=data.iloc[2]
     t11_theory=temp2[0]*rate1
     print("t11_theory:{}".format(t11_theory))