Examples,
In [13]: ones(()).flags.writeable
Out[13]: True
In [14]: (-ones(())).flags.writeable
Out[14]: False
In [15]: (-1*ones(())).flags.writeable
Out[15]: False
In [16]: (1 + ones(())).flags.writeable
Out[16]: False
In [17]: array(1)
Out[17]: array(1)
In [18]: array(1).shape
Out[18]: ()
I
I am using version 1.6.2
In [77]: np.__version__
Out[77]: '1.6.2'
On Thu, Nov 22, 2012 at 10:08 PM, Chao YUE wrote:
> Dear all,
>
> I tried the np.apply_over_axes and np.ma.apply_over_axes, it seems that
> they are not working for the masked array?
> I searched the wiki and there are two ticke
Dear all,
I tried the np.apply_over_axes and np.ma.apply_over_axes, it seems that
they are not working for the masked array?
I searched the wiki and there are two tickets (1480,8417) related with
this, it seems that it's a solved issue?
the example is below:
In [67]: a = np.arange(60.).reshape(3
Thanks for the explanations. Yes, what I am thinking is basically the same
but I didn't test the time.
I never try numexpr, but it would be nice to try it.
Chao
On Thu, Nov 22, 2012 at 3:20 PM, Francesc Alted wrote:
> On 11/22/12 1:41 PM, Chao YUE wrote:
> > Dear all,
> >
> > if I have two ndar
On Thu, Nov 22, 2012 at 10:15 AM, Sebastian Berg
wrote:
> On Thu, 2012-11-22 at 16:05 +0100, Daπid wrote:
>> On Thu, Nov 22, 2012 at 3:54 PM, wrote:
>> > Why don't operations on empty arrays not return empty arrays?
>>
>> Because functions like mean or std are expected to return a scalar.
>> Fun
On Thu, 2012-11-22 at 16:05 +0100, Daπid wrote:
> On Thu, Nov 22, 2012 at 3:54 PM, wrote:
> > Why don't operations on empty arrays not return empty arrays?
>
> Because functions like mean or std are expected to return a scalar.
> Functions that are piecewiese can (and should) return an empty arr
On Thu, Nov 22, 2012 at 3:54 PM, wrote:
> Why don't operations on empty arrays not return empty arrays?
Because functions like mean or std are expected to return a scalar.
Functions that are piecewiese can (and should) return an empty array,
but not the mean.
On Thu, Nov 22, 2012 at 7:14 AM, Sebastian Berg
wrote:
> On Wed, 2012-11-21 at 22:58 -0500, josef.p...@gmail.com wrote:
>> On Wed, Nov 21, 2012 at 10:35 PM, Charles R Harris
>> wrote:
>> >
>> >
>> > On Wed, Nov 21, 2012 at 7:45 PM, wrote:
>> >>
>> >> On Wed, Nov 21, 2012 at 9:22 PM, Olivier Dela
On 11/22/12 1:41 PM, Chao YUE wrote:
> Dear all,
>
> if I have two ndarray arr1 and arr2 (with the same shape), is there
> some difference when I do:
>
> arr = arr1 + arr2
>
> and
>
> arr = np.add(arr1, arr2),
>
> and then if I have more than 2 arrays: arr1, arr2, arr3, arr4, arr5,
> then I canno
On Thu, Nov 22, 2012 at 12:41 PM, Chao YUE wrote:
> Dear all,
>
> if I have two ndarray arr1 and arr2 (with the same shape), is there some
> difference when I do:
>
> arr = arr1 + arr2
>
> and
>
> arr = np.add(arr1, arr2),
>
> and then if I have more than 2 arrays: arr1, arr2, arr3, arr4, arr5, th
Dear all,
if I have two ndarray arr1 and arr2 (with the same shape), is there some
difference when I do:
arr = arr1 + arr2
and
arr = np.add(arr1, arr2),
and then if I have more than 2 arrays: arr1, arr2, arr3, arr4, arr5, then I
cannot use np.add anymore as it only recieves 2 arguments.
then w
On Wed, 2012-11-21 at 22:58 -0500, josef.p...@gmail.com wrote:
> On Wed, Nov 21, 2012 at 10:35 PM, Charles R Harris
> wrote:
> >
> >
> > On Wed, Nov 21, 2012 at 7:45 PM, wrote:
> >>
> >> On Wed, Nov 21, 2012 at 9:22 PM, Olivier Delalleau wrote:
> >> > Current behavior looks sensible to me. I per
On Thu, Nov 22, 2012 at 4:17 AM, Fernando Perez wrote:
> Hi folks,
>
> years ago, John Hunter and I bought the py4science.{com, org, info}
> domains thinking they might be useful. We never did anything with
> them, and with his passing I realized I'm not really in the mood to
> keep renewing them
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