On Tue, Jan 24, 2012 at 4:33 PM, Mark Wiebe wrote:
> 2012/1/21 Ondřej Čertík
>>
>>
>>
>>
>> Let me know if you figure out something. I think the "mask" thing is
>> quite slow, but the problem is that it needs to be there, to catch
>> overflows (and it is there in Fortran as well, see the
>> "whe
On Wed, Jan 25, 2012 at 11:33 AM, wrote:
> that's what I would try:
>
b = a.view(dtype=[('i', '>>> ('i2', '>>> b['fl']
> array([(2.0, 3.0), (8.0, 9.0), (123.41, 7.0), (10.0, 11.0),
> (14.0, 15.0)],
> dtype=[('f1', '>>> b['fl'][2]= (200, 500)
a
> array([(1, 2.0, 3.
Thanks!
It was interesting to see why that happened.
Kathy
On Tue, 2012-01-24 at 18:56 -0600, Mark Wiebe wrote:
> On Tue, Jan 24, 2012 at 7:29 AM, Kathleen M Tacina
> wrote:
>
> I was experimenting with np.min_scalar_type to make sure it
> worked as expected, and found some u
On Wed, Jan 25, 2012 at 2:27 PM, Chris Barker wrote:
> HI folks,
>
> Is there a way to get a view of a subset of a structured array? I know
> that an arbitrary subset will not fit into the numpy "strides"offsets"
> model, but some will, and it would be nice to have a view:
>
> For example, here we
HI folks,
Is there a way to get a view of a subset of a structured array? I know
that an arbitrary subset will not fit into the numpy "strides"offsets"
model, but some will, and it would be nice to have a view:
For example, here we have a stuctured array:
In [56]: a
Out[56]:
array([(1, 2.0, 3.0,
I believe there are no provisions made for that in ndarray.
But you can subclass ndarray.
Val
On Wed, Jan 25, 2012 at 12:10 PM, Emmanuel Mayssat wrote:
> Is there a way to store metadata for an array?
> For example, date the samples were collected, name of the operator, etc.
>
> Regards,
> --
> E
Is there a way to store metadata for an array?
For example, date the samples were collected, name of the operator, etc.
Regards,
--
Emmanuel
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discuss
Hi,
I will be giving a matplotlib and a optimization tutorial
at PyCon in March.
The first tutorial is a compact introduction to matplotlib.
The optimization tutorial gives an overview over this topic.
BTW, the early bird deadline is today.
Mike
Plotting with matplotlib
On Wed, Jan 25, 2012 at 15:12, Edward C. Jones wrote:
> I have a vector of bits where there are many more zeros than one. I
> store the array as a sorted list of the indexes where the bit is one.
> If the bit array is (0, 1, 0, 0, 0, 1, 1), it is stored as (1, 5, 6).
> If the bit array, b, has le
I have a vector of bits where there are many more zeros than one. I
store the array as a sorted list of the indexes where the bit is one.
If the bit array is (0, 1, 0, 0, 0, 1, 1), it is stored as (1, 5, 6).
If the bit array, b, has length n, and p is a random permutation of
arange(n), then
On Tue, Jan 24, 2012 at 3:30 PM, David Warde-Farley <
warde...@iro.umontreal.ca> wrote:
> On Tue, Jan 24, 2012 at 01:02:44PM -0500, David Warde-Farley wrote:
> > On Tue, Jan 24, 2012 at 06:37:12PM +0100, Robin wrote:
> >
> > > Yes - I get exactly the same numbers in 64 bit windows with 1.6.1.
> >
On 24.01.2012 23:30, David Warde-Farley wrote:
> I've figured it out. In numpy/core/src/multiarray/mapping.c, PyArray_GetMap
> is using an int for a counter variable where it should be using an npy_intp.
>
> I've filed a pull request at https://github.com/numpy/numpy/pull/188 with a
> regression t
12 matches
Mail list logo
