有没有办法在 dataframe 中仅使用大于 0 的列中的值来计算平均值？
[英]Is there a way to calculate average with only values in the columns greater than 0 in dataframe?
问题描述
Is there a way to calculate average with only values in the columns greater than 0 in dataframe?
有没有办法在 dataframe 中仅使用大于 0 的列中的值来计算平均值？ I have a dataset with the structure below.我有一个结构如下的数据集。
Week |Mon |Tues |Weds |Thurs |Fri |Sat |Sun |average
:-------:-------:-------:----------:-------:-------:--------:-------:-----------
1 |5915 |2997 |8499 |1248 |3089 |1343 |0 |3298.71
2 |0 |0 |3588 |5693 |1297 |288 |2453 |1902.71
Using mean will get all the values in the stated columns which gives Total/7.使用平均值将获得所述列中的所有值，即 Total/7。 df['average'] = df[['Mon', 'Tues','Weds','Thurs','Fri','Sat','Sun']].mean(axis=1)
Is there a way to get results in with the following:有没有办法通过以下方式获得结果：
Week |Mon |Tues |Weds |Thurs |Fri |Sat |Sun |average (desired output)
:-------:-------:-------:----------:-------:-------:--------:-------:--------------------------------
1 |5915 |2997 |8499 |1248 |3089 |1343 |0 |(5915+2997+8499+1248+3089+1343)/6
2 |0 |0 |3588 |5693 |1297 |288 |2453 |(3588+5693+1297+288+2453)/5
1 个解决方案
解决方案1
2 2021-01-27 01:13:58
Just add another layer of boolean indexing to make it only positive numbers:只需添加另一层 boolean 索引，使其只有正数：
df[df[['Mon', 'Tues','Weds','Thurs','Fri','Sat','Sun']]>0].mean(axis=1)
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