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  • shoyer · 2 ✖
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587149607 https://github.com/pydata/xarray/issues/3770#issuecomment-587149607 https://api.github.com/repos/pydata/xarray/issues/3770 MDEyOklzc3VlQ29tbWVudDU4NzE0OTYwNw== shoyer 1217238 2020-02-17T20:36:37Z 2020-02-17T20:36:37Z MEMBER

I'd be OK with callable support in where() and other methods, as long as we have a clear policy about what methods should/will support it.

On Mon, Feb 17, 2020 at 11:29 AM keewis notifications@github.com wrote:

The docs https://docs.python.org/3/library/stdtypes.html#truth-value-testing state that the builtin bool returns True for all objects unless bool is defined or len returns 0 (function objects don't define either so they use the fallback). I'm not sure why, but I suspect it is the way it is to make

if obj: ...

equivalent to

if obj is not None: ...

That said I really like the callable support of pandas (e.g. Series.where), so maybe we should add that too?

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   `where` ignores incorrectly typed arguments 565626748
586653324 https://github.com/pydata/xarray/issues/3770#issuecomment-586653324 https://api.github.com/repos/pydata/xarray/issues/3770 MDEyOklzc3VlQ29tbWVudDU4NjY1MzMyNA== shoyer 1217238 2020-02-16T00:01:54Z 2020-02-16T00:01:54Z MEMBER

This is a NumPy thing, too: python In [6]: np.where(lambda: None, 1, 2) Out[6]: array(1) I think the problem is that functions cast to True with bool.

(I don't really understand why that is the case, but it does seem to be well-established behavior in Python)

 
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   `where` ignores incorrectly typed arguments 565626748

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