issue_comments: 185816575

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https://github.com/pydata/xarray/pull/668#issuecomment-185816575 https://api.github.com/repos/pydata/xarray/issues/668 185816575 MDEyOklzc3VlQ29tbWVudDE4NTgxNjU3NQ== 1217238 2016-02-18T17:03:37Z 2016-02-18T17:03:37Z MEMBER

What is the full set of functions like empty_like that we would want for the public API? zeros_like, ones_like, full_like, maybe missing_like?

empty_like (without a fill value) doesn't make a lot of sense for dask.array, but all the rest of these do, and it would be nice to have the xarray functions work by copying dask arrays by making new dask arrays.

One possibility, instead of making a separate missing_like, is to make xr.empty_like always fill with NaN. Users can always drop into numpy directly if they really want to make an array and not set the values -- this very rarely makes an actual difference for performance since memory allocation is so slow.

 
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