[Numpy-discussion] typecasting of single values form an array: Bug or feature?
Emmanuel Viennet
viennet at lipn.univ-paris13.fr
Fri Jul 20 03:11:31 EDT 2001
Feature, I think.
a[1,3] is a rank-0 array, with typecode Int16.
There is no other way to handle a Int16 scalar
in Python (Int16 is not a python type).
This solution allows to correctly propagate
the types in array arithmetic, without unwanted
upcasts.
Emmanuel
Chris Barker wrote:
> # now change the type
> >>> a = a.astype(Int16)
> >>> a.shape = (10,)
> >>> print type(a[3])
> <type 'int'>
> #it's an Int
>
> >>> a.shape = (2,5)
> # now change the shape to rank-2
>
> >>> print type(a[1,3])
> <type 'array'>
>
>>> print a[0,0].typecode()
's' # == Int16
>>> a[0,0].shape
() # rank-0 array
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