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ELToulemonde / dataPreparation

Data preparation for data science projects.

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Python interface

ELToulemonde opened this issue · comments

commented

A nice thing to build would be to make it usable from python.

Using rpy2 interface (?), it would be nice to be able call the package to prepare a data set and then go back to python using sklearn for example.

I don't know what form it should take: maybe a script or a tutorial.
A question would also be: what classes are accepted by pandas (i think of R class factor for example).

If anyone did something like that before, help would be more than appreciated :)

commented

Hi,

I would question this Python porting.
There is already a library in Python for this:

https://pypi.org/project/feature-engine/
https://feature-engine.readthedocs.io/en/latest/

Well in fact, some of the ideas that I proposed to enhance your R package comes from this Python.

Thanks,
Carlos.

commented

Hi,

Yes i guess you are right. THanks for the pointer.

Do you know one that do the filtering as dataPreparation do (constant, double and bijection) ?