The numpy example page still has dtype=Float and dtype=Int
all over it.  Is there a generic replacement for Float, Int or should
these be changed to something more specific such as int32?
Erin

On 6/20/06, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> Hi Simon
>
> On Tue, Jun 20, 2006 at 08:22:30PM +0100, Simon Burton wrote:
> >
> > >>> import numpy
> > >>> numpy.__version__
> > '0.9.9.2631'
> > >>> numpy.Int32
> > Traceback (most recent call last):
> >   File "<stdin>", line 1, in ?
> > AttributeError: 'module' object has no attribute 'Int32'
> > >>>
> >
> > This was working not so long ago.
>
> Int32, Float etc. are part of the old Numeric interface, that you can
> now access under the numpy.oldnumeric namespace.  If I understand
> correctly, doing
>
> import numpy.oldnumeric as Numeric
>
> should provide you with a Numeric-compatible replacement.
>
> The same types can be accessed under numpy as int32 (lower case) and
> friends.
>
> Cheers
> Stéfan
>
>
>
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