OneHotEncoder.get_feature_names doesn't work with integer column names

import pandas as pd
import numpy as np
from sklearn.preprocessing import OneHotEncoder
X = pd.DataFrame({1: np.random.randint(0, 10, size=400)})
OneHotEncoder().fit(X).get_feature_names([1])

TypeError: unsupported operand type(s) for +: 'int' and 'str'

[cmarmo]

HI everybody, sorry for stepping in. I would like to point that there is another issue on OneHotEncoder (#16552) and @glemaitre and I we were waiting for a comment about the possibility of changing the drop_idx_ array from an array of integer to an array of objects (https://github.com/scikit-learn/scikit-learn/issues/16552#issuecomment-592187612). This choice will probably change the way this issue should be solved too.

[rth]

What’s the etiquette on bug: triage. Should I move the label to bug or should I wait for someone else to do that?

Introduced in https://github.com/scikit-learn/scikit-learn/pull/16560 lol I have not realized it would also affect core-devs, we would probably want to open issues as “Other” reason and manually assign tags. It’s was intended for unconfirmed users reports, there may be a better way to do it.