Hi,
On Sun, Jul 31, 2011 at 7:36 PM, Charles R Harris <charlesr.har...@gmail.com
> wrote:
>
>
> On Sun, Jul 31, 2011 at 12:50 AM, Hans Meine <
> me...@informatik.uni-hamburg.de> wrote:
>
>> Am 29.07.2011 um 20:23 schrieb Nathaniel Smith:
>> > Even so, surely this behavior should be consistent between base class
>> > ndarrays and subclasses? If returning 0d arrays is a good idea, then
>> > we should do it everywhere. If it's a bad idea, then we shouldn't do
>> > it at all...?
>>
>> Very well put. That's exactly the reason why I am insisting on this
>> discussion, and why I believe that the behavior change is not intentional.
>> Otherwise, ndarray and matrix should behave like my subclass. (BTW: I did
>> not check masked_array yet.)
>>
>> > (In reality, it sounds like this might be some mishap in the
>> > __array_wrap__ mechanism?)
>>
>> That's exactly my guess. (That could also explain why Mark did not see
>> anything obvious in the code.)
>>
>>
> Maybe. There isn't a problem for plain old zero dimensional arrays.
>
> In [1]: a = array(1)
>
> In [2]: a.dtype
> Out[2]: dtype('int64')
>
> In [3]: reshape(a, (1,1), order='f')
> Out[3]: array([[1]])
>
FWIW:
In []: sys.version
Out[]: '2.7.2 (default, Jun 12 2011, 15:08:59) [MSC v.1500 32 bit (Intel)]'
In []: np.version.version
Out[]: '1.6.0'
In []: a= array(1)
In []: a.reshape((1, 1), order= 'F').flags
Out[]:
C_CONTIGUOUS : True
F_CONTIGUOUS : False
OWNDATA : False
WRITEABLE : True
ALIGNED : True
UPDATEIFCOPY : False
In []: a.reshape((1, 1), order= 'C').flags
Out[]:
C_CONTIGUOUS : True
F_CONTIGUOUS : False
OWNDATA : False
WRITEABLE : True
ALIGNED : True
UPDATEIFCOPY : False
Seems to be slightly inconsistent, but does it really matter?
-eat
>
> This on Linux 64 with latest master.
>
> Chuck
>
>
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
>
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
