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  • burnpanck · 2 ✖

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  • DataArray.apply is missing · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
258425477 https://github.com/pydata/xarray/issues/1074#issuecomment-258425477 https://api.github.com/repos/pydata/xarray/issues/1074 MDEyOklzc3VlQ29tbWVudDI1ODQyNTQ3Nw== burnpanck 1310437 2016-11-04T13:04:37Z 2016-11-04T13:04:37Z CONTRIBUTOR

As for the consistency concern, I wouldn't have expected that to be a big issue. I'd argue that most functions mapping np.ndarray -> np.ndarray will not mind receiving a DataArray instead. On the other hand, functions mapping DataArray -> np.ndarray would seldom prefer to receive the raw np.ndarray. So I see no use to the raw parameter (but then again, I do not know pandas and their use-case), such that my hypotetical DataArray.apply and the existing DataArray.pipe are essentially the same.

 
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   DataArray.apply is missing 186868181
258423515 https://github.com/pydata/xarray/issues/1074#issuecomment-258423515 https://api.github.com/repos/pydata/xarray/issues/1074 MDEyOklzc3VlQ29tbWVudDI1ODQyMzUxNQ== burnpanck 1310437 2016-11-04T12:55:15Z 2016-11-04T12:55:15Z CONTRIBUTOR

Aha! For my use-case, DataArray.pipe is perfectly fine, I just didn't know about it. I have to admit that I know nothing about pandas. Before I learned about xarray, pandas was not interesting to me at all. My datasets are often high-dimensional which does not work well with pandas' orientation towards (one-dimensional) collections of observations. In that sense, I could rather relabel this issue (or create a new one) as a documentation problem. The API reference does not indicate the existence of DataArray.pipe at all (only Dataset.pipe, even though that one mentions it works on DataArrays too). Also, there could possibly be a see-also link to pipe from apply. Shall I have a go at a PR?

 
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   DataArray.apply is missing 186868181

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