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Using __array_function__ beyond Quantity?

See original GitHub issue

This is a bit of a tracking issue: numpy is introducing __array_function__, with which one can override functionality of numpy functions for one’s classes. To implement for:

Quantity - finally, concatenate and friends will work! See #8808 and Quantity specific follow-up in #8825.
ShapedLikeNDArray - to cover shape-changing functions things like np.atleast_1d (#10337)
Extend ShapedLikeNDArray to np.where, np.concatenate and friends (like np.hstack, np.r_, etc.)
For Time, make actual implementations for functions that currently work by creating time object array (e.g., np.sum on TimeDelta, which is used in gammay [#10501]; also np.diff on Time, and np.median [requested in #10962]).
Extend Time with other functions that logically can work, such as np.linspace (which would fix #8596) and np.isclose (relevant for #8742)
And use it in NDData, where probably many more functions make sense.

Issue Analytics

State:
Created 4 years ago
Reactions:8
Comments:16 (16 by maintainers)

Top GitHub Comments

2reactions

mhvkcommented, Jun 20, 2019

Actually, it turns out one of them brought an error in my tests to light, so it was OK. The other, with block is less clear, but we had discussion. Anyway, fix is on the way…

1reaction

pllimcommented, Jun 20, 2019

@mhvk, maybe Numpy should have a job to test against astropy-dev before merging. 😏

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