>
> *Reply to: *Discussion of Numerical Python
> *Date: *Friday, 17. January 2020 at 11:40
> *To: *Discussion of Numerical Python
> *Subject: *[Numpy-discussion] Adding an nd generalization of
> np.ma.mask_rowscols
>
>
>
> Today, numpy has a np.ma.mask_rowcols func
Reply to: Discussion of Numerical Python
Date: Friday, 17. January 2020 at 11:40
To: Discussion of Numerical Python
Subject: [Numpy-discussion] Adding an nd generalization of np.ma.mask_rowscols
Today, numpy has a np.ma.mask_rowcols function, which stretches masks along
the full length of an axis
On Fri, 2020-01-17 at 10:39 +, Eric Wieser wrote:
> Today, numpy has a np.ma.mask_rowcols function, which stretches masks
> along
> the full length of an axis. For example, given the matrix::
>
> Questions for the mailing list then:
>
The additional question: I think I am good with adding
Today, numpy has a np.ma.mask_rowcols function, which stretches masks along
the full length of an axis. For example, given the matrix::
>>> a2d = np.zeros((3, 3), dtype=int)
>>> a2d[1, 1] = 1
>>> a2d = np.ma.masked_equal(a2d, 1)
>>> print(a2d)
[[0 0 0]
[0 -- 0]
[0 0 0]]
The API allows::
>>> pr
