Hi Nicolas
On Fri, 30 Aug 2013 17:26:51 +0200, Nicolas Rougier wrote:
> >>> Z = np.zeros(10, [('a', np.float32, 3), ('b', np.float32, 4)])
>
> >>> Z['a'].dtype
> dtype('float32')
>
> >>> Z.dtype['a']
> dtype(('
>
> Does that mean that dtype['a'] is the dtype of field 'a' when in Z, while
> Z[
It looks like it broke the build with MKL as well (in, surprised, ARPACK).
I will investigate this further this WE
On Thu, Aug 22, 2013 at 2:12 PM, Ralf Gommers wrote:
> Hi all,
>
> I'm happy to announce the availability of the first beta release of Scipy
> 0.13.0. Please try this beta and repor
Hi,
I'm a bit lost with the following example (numpy 1.7.1, osx 10.8):
>>> Z = np.zeros(10, [('a', np.float32, 3), ('b', np.float32, 4)])
>>> Z['a'].dtype
dtype('float32')
>>> Z.dtype['a']
dtype(('>> Z['a'].view(Z.dtype['a'])
ValueError: new type not compatible with array.
Nicolas
_
On Fri, Aug 30, 2013 at 1:27 AM, Charles R Harris
wrote:
> Anyone know what _PyADt is? It turns up in ndarraytypes.h
>
> #define PyDataType_ISBOOL(obj) PyTypeNum_ISBOOL(_PyADt(obj))
That code looks broken--can't we just remove it?
Stéfan
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NumPy-Disc
On Fri, Aug 30, 2013 at 6:20 AM, Anubhab Baksi wrote:
> I need to deal with nearly 2**19 or 2**20 arrays of length about 250 each.
As mentioned elsewhere in this thread: what does "deal" mean. You may
be better off with something like:
http://kwant-project.org/tinyarray/
Stéfan
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