Just a follow up for historical sake:
This is a bug in numpy and was introduced in this commit:
https://github.com/numpy/numpy/commit/c48156dfdc408f0a1e59ef54ac490cccbd6b8d73
I've filed a ticket with Numpy and those interested can follow up here:
https://github.com/numpy/numpy/issues/2700
PTM
---
Patrick Marsh
Ph.D. Candidate / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
National Severe Storms Laboratory
http://www.patricktmarsh.com
On Mon, Oct 29, 2012 at 8:46 AM, Benjamin Root <ben.r...@ou.edu> wrote:
>
>
> On Mon, Oct 29, 2012 at 9:16 AM, Benjamin Root <ben.r...@ou.edu> wrote:
>
>>
>>
>> On Mon, Oct 29, 2012 at 1:51 AM, Patrick Marsh
>> <patrickmars...@gmail.com>wrote:
>>
>>> Greetings,
>>>
>>> I've banged my head against this problem for 2 days and have given up on
>>> figuring it out on my own…
>>>
>>> After updating numpy and matplotlib to the latest versions from github
>>> Saturday morning, I keep getting "AttributeError: incompatible shape for a
>>> non-contiguous array" errors all over the place when plotting. When I run
>>> tests on numpy, everything passes. When I run tests on matplotlib, I get 51
>>> errors, with a vast majority of them (possibly all) being the
>>> non-contiguous array errors. (Sample below)
>>>
>>> Any suggestions here? I'm totally stumped.
>>>
>>>
>>> PTM
>>>
>>>
>>>
>> I am guessing this is a problem introduced with NumPy. I just tried the
>> tests with an older NumPy branch, and all seemed fine. Now testing with
>> the most recent branch.
>>
>> Ben Root
>>
>
> Confirming the bug (and it appears to be happening at a spot that I
> updated a couple years ago to catch exactly these sort of situations where
> reshaping would result in a copy when we didn't want a copy).
>
> I am presuming that it is a NumPy bug and will report it as such to the
> numpy list.
>
> Cheers!
> Ben Root
>
>
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