PEP8 guidance for column names in pandas dataframe?

Question

Is there a standard naming convention that is suggestible for columns in Pandas Dataframes ?

As I looked around, this seems to be the most relevant question or answer on this topic: Pandas DataFrame column naming conventions. I couldn't find anything on PEP8 from quick glances. The solution provided here offers some general advice but no standard leaving it to the developer's prerogative.

import pandas as pd

col_names =  ['MyColumn1', 'Mycolumn2']
my_df  = pd.DataFrame(columns = col_names)

It looks like snake case looks appropriate from my personal perspective, but I want to know what is the standard and if PEP8 has any guidance.

I would just follow the same naming conventions for variables as laid out in PEP8 i don't know of any specific rules just for Pandas but if someone does please correct me. Also of course avoid any reserved keywords in python as well — Matthew Barlowe
– Matthew Barlowe, Commented Oct 28, 2019 at 0:38
As long as it does not contains space and special characters, it's fine. And you can always follow the same principal as naming variables in PEP8, just use snake_case. — hunzter
– hunzter, Commented Oct 28, 2019 at 2:31

Bastian Venthur · Accepted Answer · 2022-05-09 19:23:42Z

0

It is really up to you how you name the columns as it is application- or problem specific. At least PEP8 does not care about this and a linter such as flake8 will not complain.

answered May 9, 2022 at 19:23

Bastian Venthur

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