[Numpy-discussion] Upcasting rules in numpy

[Francesc A. <fa...@ca...>]

Hi,

I don't know if the next behaviour in NumPy is intended or not:

In [22]: (numpy.zeros((2,1), dtype=3D"int8")*3.).dtype.type
Out[22]: <type 'float32_arrtype'>

while numarray and Numeric gives:

In [36]: (numarray.zeros((2,1), type=3D"Int8")*3.).type()
Out[36]: Float64

In [37]: (Numeric.zeros((2,1), typecode=3D"b")*3.).typecode()
Out[37]: 'd'

Would not be float64 a more sensible default for numpy as well?

Cheers,

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>0,0<   Francesc Altet =A0 =A0 http://www.carabos.com/
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