在 pandas 中删除空列0.23+ [英] dropping empty columns in pandas 0.23+

问题描述

在早期版本的熊猫中，您可以使用以下简单的方法删除空列:

In earlier versions of pandas, you could drop empty columns simply with:

df.dropna(axis='columns')

但是，dropna在以后的版本中已被贬值.现在如何从数据框中删除多个(没有专门索引的)空列?

However, dropna has been depreciated in later builds. How would one now drop multiple (without specifically indexing) empty columns from a dataframe?

推荐答案

对于当前版本的Pandas(0.23.4)，我可以使用dropna()删除空列.我使用的代码是:

I am able to drop empty columns using dropna() with the current version of Pandas (0.23.4). The code I used is:

df.dropna(how='all', axis=1)

好像不赞成使用的是一次通过多个轴(即df.dropna(how='all', axis = [0, 1]).您可以在此处阅读，他们已经做出了这一决定-让我们弃用通过多个​​坐标轴，我们不会对其他任何熊猫函数执行此操作".

Looks like what is deprecated is passing multiple axes at once (i.e. df.dropna(how='all', axis = [0, 1]). You can read here that they made this decision - "let's deprecate passing multiple axes, we don't do this for any other pandas functions".

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