Hi All,
I am pleased to announce the release of NumPy 1.12.0rc1. This release
supports Python 2.7 and 3.4 - 3.6 and is the result of 406 pull requests
submitted by 139 contributors and comprises a large number of fixes and
improvements. Among the many improvements it is difficult to pick out
I think this is a great idea!
I agree that we need a new function. Because the new API is almost strictly
superior, we should try to pick a more general name that we can encourage
users to switch to from in1d.
Pandas calls this method "isin", which I think is a perfectly good name for
the
I started an enhancement request in the Github bug tracker at
https://github.com/numpy/numpy/issues/8331 , but Jaime Frio recommended I
bring it to the mailing list.
`in1d` takes two arrays, `ar1` and `ar2`, and returns a 1d array with the
same number of elements as `ar1`. The logical extension
