I'm comfused about axis=0 and axis=1

Asked Oct 05 '20 at 18:41

Active Oct 05 '20 at 18:41

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the axis=1 below is to find if there's any NaN in every row.

df.isnull().any(axis=1)

the axis=1 below is to drop column if there is missing value.

df1.dropna(axis=1, how='any')

I am so confused! usually I think axis=0 is relating to rows, axis=1 is relating to columns. Can you explain me why axis=1 is relating to row in the first example, and relating to column in the second example?

asked Oct 05 '20 at 18:41

Kiko

Does this answer your question? [What does axis in pandas mean?](https://stackoverflow.com/questions/22149584/what-does-axis-in-pandas-mean) – amsh Oct 05 '20 at 18:43
because IMHO, pandas have inconsistent `api`. – user14063792468 Oct 05 '20 at 20:49

I'm comfused about axis=0 and axis=1

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