Hi,
On Wed, Dec 29, 2010 at 5:37 PM, Robert Bradshaw
<rober...@math.washington.edu> wrote:
> On Wed, Dec 29, 2010 at 9:05 AM, Keith Goodman <kwgood...@gmail.com> wrote:
>> On Tue, Dec 28, 2010 at 11:22 PM, Robert Bradshaw
>> <rober...@math.washington.edu> wrote:
>>> On Tue, Dec 28, 2010 at 8:10 PM, John Salvatier
>>> <jsalv...@u.washington.edu> wrote:
>>>> Wouldn't that be a cast? You do casts in Cython with <double>(expression)
>>>> and that should be the equivalent of float64 I think.
>>>
>>> Or even <numpy.float64_t >(expression) if you've cimported numpy
>>> (though as mentioned this is the same as double on every platform I
>>> know of). Even easier is just to use the expression in a the right
>>> context and it will convert it for you.
>>
>> That will give me a float object but it will not have dtype, shape,
>> ndim, etc methods.
>>
>>>> m = np.mean([1,2,3])
>>>> m
>> 2.0
>>>> m.dtype
>> dtype('float64')
>>>> m.ndim
>> 0
>>
>> using <np.float64_t> gives:
>>
>> AttributeError: 'float' object has no attribute 'dtype'
Forgive me if I haven't understood your question, but can you use
PyArray_DescrFromType with e.g NPY_FLOAT64 ?
Best,
Matthew
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