read_csv() usecols behavior unclear

[jeffrechten]

Code Sample, a copy-pastable example if possible

                     names= ['Date', 'CreamSupply', 'RawMilk', 'Protein', 'FatProtein', 'MilkFilterInlet' #...... 
],
usecols=
 [0,132,52,19,18,133,71,70,158,92,93,94,156,157,134,135,89,73,72,27,25,24,54,53,75,74,136]

Problem description

One would think that usecols would allow a user to select the columns (and due to the fact that it's a list), the order of the columns. Either this feature disrespects the order (bug) or it is intended and the documentation should reflect that.

Latest version.

[chris-b1]

Thought we had an open issue about this, but I can't find it. Yes, at the moment usecols is set-like, would definitely take a documentation PR to make this clearer

[evanmiller29]

Hey, I'd be happy to update the docs and make this clearer?

Long time Pandas user, just wanted to start contributing back.

[jeffrechten]

I would be happy to do it as well if I knew how. I haven't committed yet.

…

On Fri, Dec 8, 2017 at 1:53 PM, evanmiller29 ***@***.***> wrote: Hey, I'd be happy to update the docs and make this clearer? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#18673 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ARpyctH9C9Kfvyak8EjVKhCDDkos9O1Nks5s-YWjgaJpZM4Q4usV> .