issue_comments: 324822729

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https://github.com/pydata/xarray/issues/1512#issuecomment-324822729 https://api.github.com/repos/pydata/xarray/issues/1512 324822729 MDEyOklzc3VlQ29tbWVudDMyNDgyMjcyOQ== 1217238 2017-08-25T04:44:54Z 2017-08-25T04:44:54Z MEMBER

pandas 0.18 came out in March 2016 (about 18 months ago by the time of our next release). I would be reluctant to require anything newer than NumPy 1.11, which also came out in March 2016.

I don't see removing functions from npcompat as particularly good justification on its own. But if there is new functionality that requires a newer NumPy, then that could be a good reason to require something newer (especially if it's hard to backport).

For example, if we required NumPy 1.13, then we could make use of NDArrayOperatorsMixin and __array_ufunc__. This might be worth it for the significant clean-up of our type casting hierarchy for arithmetic (e.g., as @dopplershift reported on his pain with in his scipy presentation).

 
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