There is no way to use multiple pre-processors in the same column

[perone]

It would be nice if I could do this:

mapper = DataFrameMapper([
    ('COLUMN', [sklearn.preprocessing.LabelEncoder(), sklearn.preprocessing.OneHotEncoder()]),
])

[dukebody]

Can't you do this using a scikit-learn Pipeline?

[dukebody]

I'm working on this.

[dukebody]

We are working on this. See #28 (comment)

[CodeKiller48]

How's going on this issue? Do you have a solution to fix the following problem?
mapper = DataFrameMapper([
('COLUMN', [sklearn.preprocessing.LabelEncoder(), sklearn.preprocessing.OneHotEncoder()]),
])

[dukebody]

It's already fixed, see the merged PR.

[CodeKiller48]

Thanks for the response. would you mind forwarding me the link or giving me an example on the usage ?
Really appreciate your help.

[dukebody]

@CodeKiller48 Read The Fine Manual: https://github.com/paulgb/sklearn-pandas/blob/master/README.rst#multiple-transformers-for-the-same-column