数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -208,7 +208,8 @@ def chi_cal(data):
     temp1=data.loc['共计']
     print("共计：{}".format(temp1))
     rate1=temp1[0]/temp1[2]
-    print("rate1:{}".format(rate1))
+    print("temp1[0]:{}".format(temp1[0]))
+    print("temp1[2]:{}".format(temp1[2]))
     rate2=temp1[1]/temp1[2]
     print("rate2:{}".format(rate2))
     temp2=data.iloc[2]