[Numpy-discussion] 1.10.0rc1

[Benjamin Root]

Ok, I just wanted to make sure I understood the issue before going bug
hunting. Chances are, it has been a bug on our end for a while now. Just to
make sure, is the following valid?

arr = np.zeros((5, 3))
ind = np.array([True, True, True, False, True])
arr[ind]   # gives a 4x3 result

Running that at the REPL doesn't produce a warning, so i am guessing that
it is valid.

Ben Root

On Thu, Aug 27, 2015 at 10:44 AM, Sebastian Berg <sebastian at sipsolutions.net
> wrote:

> On Do, 2015-08-27 at 08:04 -0600, Charles R Harris wrote:
> >
> >
> > On Thu, Aug 27, 2015 at 7:52 AM, Benjamin Root <ben.v.root at gmail.com>
> > wrote:
> >
> >
> >         Ok, I tested matplotlib master against numpy master, and there
> >         were no errors. I did get a bunch of new deprecation warnings
> >         though such as:
> >
> >
>  "/nas/home/broot/centos6/lib/python2.7/site-packages/matplotlib-1.5.dev1-py2.7-linux-x86_64.egg/matplotlib/colorbar.py:539:
> VisibleDeprecationWarning: boolean index did not match indexed array along
> dimension 0; dimension is 5 but corresponding boolean dimension is 3
> >           colors = np.asarray(colors)[igood]"
> >
> >
> >         The message isn't exactly clear. I suspect the problem is a
> >         shape mismatch, like colors is 5x3, and igood is just 3 for
> >         some reason. Could somebody shine some light on this, please?
> >
> >
> >
> > IIRC, Boolean indexing would fill out the dimension, i.e., len 3 would
> > be expanded to len 5 in this case. That behavior is deprecated.
> >
>
> Yes, this is exactly the case, you have something like:
>
> arr = np.zeros((5, 3))
> ind = np.array([True, False, False])
> arr[ind, :]
>
> and numpy nowadays thinks that such code is likely a bug (when the ind
> is shorter than arr it is somewhat OK, the other way around gets more
> creepy). If you have an idea of how to make the error message clearer,
> or objections to the change, I am happy to hear it!
>
> - Sebastian
>
>
> >
> > Chuck
> >
> >
> >
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> > http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
>
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