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  • shoyer · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
337959059 https://github.com/pydata/xarray/issues/1317#issuecomment-337959059 https://api.github.com/repos/pydata/xarray/issues/1317 MDEyOklzc3VlQ29tbWVudDMzNzk1OTA1OQ== shoyer 1217238 2017-10-19T16:14:54Z 2017-10-19T16:14:54Z MEMBER

IMO, the easiest way to do this would be to change these methods into top-level functions which can take any dict or iterable of datarrays.

:+1: for a function or class based interface if that makes sense. Can you share a few examples of what using your proposed API would look like?

 
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   API for reshaping DataArrays as 2D "data matrices" for use in machine learning 216215022
288577529 https://github.com/pydata/xarray/issues/1317#issuecomment-288577529 https://api.github.com/repos/pydata/xarray/issues/1317 MDEyOklzc3VlQ29tbWVudDI4ODU3NzUyOQ== shoyer 1217238 2017-03-23T00:06:34Z 2017-03-23T00:06:34Z MEMBER

I've written similar code in the past as well, so I would be pretty supportive of adding a utility class for this. Actually one of my colleagues wrote a virtually identical class for our xarray equivalent in TensorFlow -- take a look at it for some possible alternative API options.

For xarray, .stack() and .to_array(), or .to_dataframe() can do most of the heavy lifting instead of manually reshaping.

Thanks for the pointer to xlearn, too!

 
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   API for reshaping DataArrays as 2D "data matrices" for use in machine learning 216215022

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