[Numpy-discussion] Upcasting rules in numpy

[Francesc Altet]

Hi,

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

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

while numarray and Numeric gives:

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

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

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

Cheers,

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