Pandas dataframe first x columns

Question

I have a dataframe with about 500 columns and that's why I am wondering if there is anyway that I could use head() function but want to see the first 50 columns for example.

Thanks

Ami Tavory · Accepted Answer · 2018-09-29T16:00:28.887

86

I wasn't sure if you meant rows or columns.

If it's rows, then

df.head(50)

will do the trick.

If it's columns, then

df.iloc[:, : 50]

will work.

Of course, you can combine them.

You can see this stuff at Indexing and Selecting Data.

edited Sep 29 '18 at 16:00

answered Jun 05 '15 at 18:50

Ami Tavory

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This answer is outdated for the current version of python. – conchoecia Sep 29 '18 at 15:16
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@conchoecia Yep, you're right, thanks. Updated. – Ami Tavory Sep 29 '18 at 16:00
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@AmiTavory I think he meant something like df.iloc[:5, :50], then it is equivalent to having e.g., head(n=5) of the first 50 columns. – Mauricio Arboleda-Zapata Feb 23 '21 at 19:15

Pandas dataframe first x columns

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