How do I get the PyTypeObject* for a NumPy scalar type such as np.uint8?
(The reason I'm asking is the following:
I'm writing a C++ extension module. The Python interface to the module
has a function f that takes a NumPy scalar type as an argument, for
instance f(np.uint8). Then the correspondin
On Wed, Jul 27, 2011 at 10:29:08PM -0500, Robert Love wrote:
>
> To use quaternions I find I often need conversion to/from matrices and
> to/from Euler angles. Will you add that functionality?
Yes, I intend to. Note that these conversions are already available in
the standalone (non-dtype) imple
Hi,
I'd like to kick off some discussion on general issues I've encountered
while developing the quaternion dtype (see other thread, and the code
at: https://github.com/martinling/numpy_quaternion)
The basic issue is that the attributes of ndarray cannot be adapted
to the dtype of a given array.
Hi again!
Am Donnerstag, 21. Juli 2011, 16:56:21 schrieb Hans Meine:
> import numpy
>
> class Test(numpy.ndarray):
> pass
>
> a1 = numpy.ndarray((1,))
> a2 = Test((1,))
>
> assert type(a1.min()) == type(a2.min()), \
> "%s != %s" % (type(a1.min()), type(a2.min()))
> # -
Hi,
On Thu, Jul 28, 2011 at 7:58 AM, Hans Meine
wrote:
> Hi again!
>
> Am Donnerstag, 21. Juli 2011, 16:56:21 schrieb Hans Meine:
>> import numpy
>>
>> class Test(numpy.ndarray):
>> pass
>>
>> a1 = numpy.ndarray((1,))
>> a2 = Test((1,))
>>
>> assert type(a1.min()) == type(a2.min()), \
>> "%
On Thu, Jul 28, 2011 at 1:29 AM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> On Wed, Jul 27, 2011 at 05:25:20PM -0600, Charles R Harris wrote:
> >Well, doc tests are just a losing proposition, no one should be using
> them
> >for writing tests. It's not like this is a new disc
Hi,
On Thu, Jul 28, 2011 at 10:13 AM, Ralf Gommers
wrote:
>
>
> On Thu, Jul 28, 2011 at 1:29 AM, Gael Varoquaux
> wrote:
>>
>> On Wed, Jul 27, 2011 at 05:25:20PM -0600, Charles R Harris wrote:
>> > Well, doc tests are just a losing proposition, no one should be using
>> > them
>> > for wri
I have a different question about this than the rest of the thread. I'm
confused at why there isn't a programmatic way to create a datetime dtype,
other than by going through this special string-based mini-language. I guess
I generally think of string-based dtype descriptors as being a legacy thing
On Thu, Jul 28, 2011 at 10:19 AM, Matthew Brett wrote:
> I don't think anyone suggested that doctests should replace unit
> tests; it's a bit difficult to see why that discussion started.
The conversation started because array([True], dtype=bool) changed to
array([True], dtype='bool') or somethin
Hi,
2011/7/28 Stéfan van der Walt :
> On Thu, Jul 28, 2011 at 10:19 AM, Matthew Brett
> wrote:
>> I don't think anyone suggested that doctests should replace unit
>> tests; it's a bit difficult to see why that discussion started.
>
> The conversation started because array([True], dtype=bool) cha
Hi!
In my quest for a bug-free numpy I have, I think, fixed ticket 1793.
https://github.com/numpy/numpy/pull/123
Enjoy - feedback welcome, of course.
Cheers,
Paul.
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I have a need to index my array(s) starting with a 1 instead of a 0.
The reason for this is to be consistent with the documentation of a
format I'm accessing. I know I can just '-1' from what the
documentation says, but that can get cumbersome.
Is there a magic flag I can pass to a numpy array (ma
On Thu, Jul 28, 2011 at 1:48 PM, Matthew Brett wrote:
> The thread was first about how to deal with the change, and second
I'm still curious to know of a technical solution with doctests.
Ideally, one would like to specify a set of rules that a line must
pass to know whether it matched. The curr
On Thu, Jul 28, 2011 at 2:05 PM, Paul Anton Letnes
wrote:
> In my quest for a bug-free numpy I have, I think, fixed ticket 1793.
> https://github.com/numpy/numpy/pull/123
This brings up an interesting question. When raising warnings, they
only show for the first time, unless the system is specia
Hi Jeremy
On Thu, Jul 28, 2011 at 3:19 PM, Jeremy Conlin wrote:
> I have a need to index my array(s) starting with a 1 instead of a 0.
> The reason for this is to be consistent with the documentation of a
> format I'm accessing. I know I can just '-1' from what the
> documentation says, but that
Don't forget the everything-looks-like-a-nail approach: make all your
arrays one bigger than you need and ignore element zero.
Anne
On 7/28/11, Stéfan van der Walt wrote:
> Hi Jeremy
>
> On Thu, Jul 28, 2011 at 3:19 PM, Jeremy Conlin wrote:
>> I have a need to index my array(s) starting with a
On Thu, Jul 28, 2011 at 4:10 PM, Anne Archibald
wrote:
> Don't forget the everything-looks-like-a-nail approach: make all your
> arrays one bigger than you need and ignore element zero.
Hehe, why didn't I think of that :)
I guess the kind of problem I struggle with more frequently is books
writt
Hi,
2011/7/28 Stéfan van der Walt :
> On Thu, Jul 28, 2011 at 1:48 PM, Matthew Brett
> wrote:
>> The thread was first about how to deal with the change, and second
>
> I'm still curious to know of a technical solution with doctests.
> Ideally, one would like to specify a set of rules that a line
On 29.07.2011, at 1:19AM, Stéfan van der Walt wrote:
> On Thu, Jul 28, 2011 at 4:10 PM, Anne Archibald
> wrote:
>> Don't forget the everything-looks-like-a-nail approach: make all your
>> arrays one bigger than you need and ignore element zero.
>
> Hehe, why didn't I think of that :)
>
> I gues
On Thu, Jul 28, 2011 at 4:26 PM, Derek Homeier
wrote:
>> I guess the kind of problem I struggle with more frequently is books
>> written with summations over -m to +n. In those cases, it's often
>> convenient to use the mapping function, so that I can enter the
>> formulas as they occur.
>
> I do
The can is open and the worms are everywhere, so:
The big problem with one-based indexing for numpy is interpretation.
In python indexing, -1 is the last element of the array, and ranges
have a specific meaning. In a hypothetical one-based indexing scheme,
would the last element be element 0? if n
On 29.07.2011, at 1:38AM, Anne Archibald wrote:
> The can is open and the worms are everywhere, so:
>
> The big problem with one-based indexing for numpy is interpretation.
> In python indexing, -1 is the last element of the array, and ranges
> have a specific meaning. In a hypothetical one-based
On Jul 28, 2011, at 7:42 AM, Martin Ling wrote:
> On Wed, Jul 27, 2011 at 10:29:08PM -0500, Robert Love wrote:
>>
>> To use quaternions I find I often need conversion to/from matrices and
>> to/from Euler angles. Will you add that functionality?
>
> Yes, I intend to. Note that these conversion
On Thu, Jul 28, 2011 at 21:48, Robert Love wrote:
>
> On Jul 28, 2011, at 7:42 AM, Martin Ling wrote:
>
>> On Wed, Jul 27, 2011 at 10:29:08PM -0500, Robert Love wrote:
>>>
>>> To use quaternions I find I often need conversion to/from matrices and
>>> to/from Euler angles. Will you add that functi
2011/7/28 Stéfan van der Walt :
> On Thu, Jul 28, 2011 at 2:05 PM, Paul Anton Letnes
> wrote:
>> In my quest for a bug-free numpy I have, I think, fixed ticket 1793.
>> https://github.com/numpy/numpy/pull/123
>
> This brings up an interesting question. When raising warnings, they
> only show for
On Thu, Jul 28, 2011 at 8:48 PM, Robert Love wrote:
>
> On Jul 28, 2011, at 7:42 AM, Martin Ling wrote:
>
> > On Wed, Jul 27, 2011 at 10:29:08PM -0500, Robert Love wrote:
> >>
> >> To use quaternions I find I often need conversion to/from matrices and
> >> to/from Euler angles. Will you add that
On Thu, Jul 28, 2011 at 8:48 PM, Robert Love wrote:
>
> On Jul 28, 2011, at 7:42 AM, Martin Ling wrote:
>
> > On Wed, Jul 27, 2011 at 10:29:08PM -0500, Robert Love wrote:
> >>
> >> To use quaternions I find I often need conversion to/from matrices and
> >> to/from Euler angles. Will you add that
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