仅对数据框 Pandas 中各列的负数求和

Question

I would like to sum by only negative numbers across all the columns in a dataframe.我只想对数据框中所有列的负数求和。

My data looks like this:我的数据如下所示：

But I would like to sum only the negative numbers.但我只想总结负数。 How do i do that?我怎么做？

Answer 1

使用mask

df.iloc[:,1:].where(df.iloc[:,1:]<0).sum(axis=1)

Answer 2

使用apply ：

df['Sum']=df.apply(lambda x: x[x<0].sum(),axis=1)

Answer 3

另一种方法是使用abs ：

df['neg_sum'] = df.where(df != df.abs()).sum(1)

Answer 4

I would suggest you avoid apply ; 我建议你避免apply ; it can be slow. 它可能会很慢。

This will work: df[df < 0].sum() 这将起作用： df[df < 0].sum()

Answer 5

Here's my solution, modified from my answer in the quoted question:这是我的解决方案，根据我在引用问题中的回答进行了修改：

df = pd.DataFrame({'a': [-1,2,3], 'b': [-2,3,4], 'c':[-3,4,5]})

column_names = list(df.columns)
df['neg_sum']= df[df[column_names]<0].sum(axis=1)

This answer allows for selecting the exact columns by name instead of taking all columns.此答案允许按名称选择确切的列，而不是采用所有列。