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378472194 https://github.com/pydata/xarray/pull/2031#issuecomment-378472194 https://api.github.com/repos/pydata/xarray/issues/2031 MDEyOklzc3VlQ29tbWVudDM3ODQ3MjE5NA== max-sixty 5635139 2018-04-04T03:52:21Z 2018-04-04T03:52:21Z MEMBER

Yes good idea. I'll add that to my (metaphorical) list.

 
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378466504 https://github.com/pydata/xarray/pull/2031#issuecomment-378466504 https://api.github.com/repos/pydata/xarray/issues/2031 MDEyOklzc3VlQ29tbWVudDM3ODQ2NjUwNA== shoyer 1217238 2018-04-04T03:10:29Z 2018-04-04T03:10:29Z MEMBER

Indeed, but combined where/isin is also basically equivalent to indexing, so I think it's appropriate on that doc page, too.

 
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378466084 https://github.com/pydata/xarray/pull/2031#issuecomment-378466084 https://api.github.com/repos/pydata/xarray/issues/2031 MDEyOklzc3VlQ29tbWVudDM3ODQ2NjA4NA== dcherian 2448579 2018-04-04T03:07:27Z 2018-04-04T03:07:27Z MEMBER

@shoyer the cookbook might be a good place for that

 
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378463234 https://github.com/pydata/xarray/pull/2031#issuecomment-378463234 https://api.github.com/repos/pydata/xarray/issues/2031 MDEyOklzc3VlQ29tbWVudDM3ODQ2MzIzNA== shoyer 1217238 2018-04-04T02:48:20Z 2018-04-04T02:48:20Z MEMBER

Thanks @maxim-lian.

As a follow-up, it might be nice to include an example showing how to use this for indexing non-dimensions in the narrative docs somewhere -- maybe in the section on where?

 
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378423195 https://github.com/pydata/xarray/pull/2031#issuecomment-378423195 https://api.github.com/repos/pydata/xarray/issues/2031 MDEyOklzc3VlQ29tbWVudDM3ODQyMzE5NQ== max-sixty 5635139 2018-04-03T22:45:47Z 2018-04-03T22:45:47Z MEMBER

I'll merge this later tonight given @shoyer 's previous approval, unless there's any feedback

 
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378253855 https://github.com/pydata/xarray/pull/2031#issuecomment-378253855 https://api.github.com/repos/pydata/xarray/issues/2031 MDEyOklzc3VlQ29tbWVudDM3ODI1Mzg1NQ== max-sixty 5635139 2018-04-03T13:40:57Z 2018-04-03T13:40:57Z MEMBER

Green! @shoyer 

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377642905 https://github.com/pydata/xarray/pull/2031#issuecomment-377642905 https://api.github.com/repos/pydata/xarray/issues/2031 MDEyOklzc3VlQ29tbWVudDM3NzY0MjkwNQ== max-sixty 5635139 2018-03-30T23:08:12Z 2018-03-30T23:08:12Z MEMBER

Any thoughts on this approach of writing out the result on a slice of a sample dataset / dataarray?

I've been thinking about expect tests, as described by @yminsky here. That would be something like: - Have some example datasets (similar to what we do now, though with a well known seed) - Run our functions and save to a file, as a known good output - During tests, compare the result to the known good output - Where different, raise and show the diff

That's a bit harder with numerical data than with small lists of words (the example in the link), but also helpful - we don't have to manually construct the result in python - just check the first time & commit the result. And would enable tests across moderately sized data, rather than only 'toy' examples.

 
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377575798 https://github.com/pydata/xarray/pull/2031#issuecomment-377575798 https://api.github.com/repos/pydata/xarray/issues/2031 MDEyOklzc3VlQ29tbWVudDM3NzU3NTc5OA== shoyer 1217238 2018-03-30T17:24:41Z 2018-03-30T17:24:41Z MEMBER

Let's just skip the tests if numpy is too old.

 
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377573270 https://github.com/pydata/xarray/pull/2031#issuecomment-377573270 https://api.github.com/repos/pydata/xarray/issues/2031 MDEyOklzc3VlQ29tbWVudDM3NzU3MzI3MA== max-sixty 5635139 2018-03-30T17:12:56Z 2018-03-30T17:12:56Z MEMBER

Fails on Numpy pre 1.13. Is that too recent to upgrade min version? 1.14.2 is current, so would be aggressive

 
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   Isin 309976469

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