I have been instructed to bring this issue to the mailing list:
http://projects.scipy.org/numpy/ticket/1994
TIA,
- Jordi G. H.
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
Nevermind ... did not realize that fromfunction was internally vectorizing
the function over arrays. Solution:
>>> numpy.fromfunction(lambda i, j: (i*j).astype(numpy.float), (3,4))
array([[ 0., 0., 0., 0.],
[ 0., 1., 2., 3.],
[ 0., 2., 4., 6.]])
On Sat, Dec 24, 2011 at 7
On Sat, Dec 24, 2011 at 3:11 AM, xantares 09 wrote:
>
>
>> From: wesmck...@gmail.com
>> Date: Fri, 23 Dec 2011 12:31:45 -0500
>> To: numpy-discussion@scipy.org
>> Subject: Re: [Numpy-discussion] PyInt and Numpy's int64 conversion
>
>>
>> On Fri, Dec 23, 2011 at 4:37 AM, xantares 09
>> wrote:
>> >
Somewhat new to NumPy, but I've been investigating this for over an hour
and found nothing helpful:
Can anyone explain why this works ...
>>> import numpy
>>> numpy.fromfunction(lambda i, j: i*j, (3,4))
array([[ 0., 0., 0., 0.],
[ 0., 1., 2., 3.],
[ 0., 2., 4., 6.]])
...
> From: wesmck...@gmail.com
> Date: Fri, 23 Dec 2011 12:31:45 -0500
> To: numpy-discussion@scipy.org
> Subject: Re: [Numpy-discussion] PyInt and Numpy's int64 conversion
>
> On Fri, Dec 23, 2011 at 4:37 AM, xantares 09 wrote:
> > Hi,
> >
> > I'm using Numpy from the C python api side while twe
