Preserve input data types #149
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output heterogeneous data types
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Tests failed on README.rst, line 187 for 2 reasons
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The only failing check now is number 2. With permission, I would like to edit the test so that the output columns of |
dukebody
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May 5, 2018
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Thanks for your contribution! I was going to comment requesting changes in your PR, but I did them myself in https://github.com/scikit-learn-contrib/sklearn-pandas/pull/153/files. If everything looks good I'm gonna merge that one.
| @@ -504,3 +509,4 @@ Other contributors: | |||
| * Ritesh Agrawal (@ragrawal) | |||
| * Vitaley Zaretskey (@vzaretsk) | |||
| * Zac Stewart (@zacstewart) | |||
| * Timothy Sweetser (@hacktuarial) | |||
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Please preserve the alphabetic order. :)
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Looks great! Thanks for reviewing. |
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As discussed in #138, when using
DataFrameMapperwithdefault=None, the current behavior is to create anp.arraywith the unselected columns. This has the undesired side effect of casting them to a common data type. This PR preserves the data types of unselected columns whendefault=None, input_df=True, output_df=True.