delete all columns name's "NaN" in Pandas DataFrame

Question

Please how to delete all columns name's "NaN" in Pandas DataFrame

Here image of my df

Have you checked how to [Delete a column from a Pandas DataFrame](https://stackoverflow.com/a/18145399/2246849)? — user2246849, Apr 30 '22 at 11:22
Does this answer your question? [Delete a column from a Pandas DataFrame](https://stackoverflow.com/questions/13411544/delete-a-column-from-a-pandas-dataframe) — Simon Breton, Apr 30 '22 at 15:11
Can you create a [Minimal, Reproducible Example](https://stackoverflow.com/help/minimal-reproducible-example) of what you've tried so far, and explain what isn't working as expected? — Alicia Sykes, May 01 '22 at 01:02

Hamza NABIL · Accepted Answer · 2022-04-30T12:32:33.730

0

Try this :

 df = df.loc[:, df.columns.notna()]

edited Apr 30 '22 at 12:32

answered Apr 30 '22 at 11:25

Hamza NABIL

Does not work KeyError: "['NaN'] not found in axis" – Mazouz Apr 30 '22 at 11:42
Now I understand , I edited the answer – Hamza NABIL Apr 30 '22 at 12:33

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