[Numpy-discussion] Different attributes for NumPy types
Charles R Harris
Thu May 22 14:46:45 CDT 2008
On Thu, May 22, 2008 at 1:32 PM, Bruce Southey <email@example.com> wrote:
> Thanks very much for the confirmation.
> On Thu, May 22, 2008 at 2:09 PM, Robert Kern <firstname.lastname@example.org>
> > On Thu, May 22, 2008 at 10:24 AM, Travis E. Oliphant
> > <email@example.com> wrote:
> >> Bruce Southey wrote:
> >>> Hi,
> >>> Is it bug if different NumPy types have different attributes?
> >> I don't think so, other than perhaps we should not have the Python types
> >> in the numpy namespace.
> >> numpy.float is just __builtin__.float which is a Python type not a
> >> NumPy data-type object.
> >> numpy.float64 inherits from numpy.float however.
> > And I believe this is the cause of the difference between the
> > attributes of numpy.float32/numpy.float128 and numpy.float64. Same
> > deal with int0 and int64 on your presumably 64-bit platform.
It also leads to various inconsistencies:
In : float32(array([]))
Out: array([[ 1.]], dtype=float32)
In : float64(array([]))
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the Numpy-discussion