On 11/15/10 11:35 AM, Pauli Virtanen wrote:
> One can argue that this is a bug in Python or Numpy:
>
> "%d" % numpy.int16(1)
>
> "{0:d}".format(numpy.int16(1))
> To make it work via changes in Numpy: scalars should implement a
> __format__ method. Two choices: either we parse the forma
On Mon, 15 Nov 2010 09:20:43 -0600, Robert Kern wrote:
[clip]
> Correct. On a 64-bit system, numpy.int32 does not subtype from int. The
> format codes do strict type-checking.
One can argue that this is a bug in Python or Numpy:
"%d" % numpy.int16(1)
"{0:d}".format(numpy.int16(1)
