[Numpy-discussion] A Different Arithmetic Error: +=

Sasha ndarray at mac.com
Tue Jul 18 12:54:41 CDT 2006


On 7/18/06, Alan G Isaac <aisaac at american.edu> wrote:
> it cannot upcast, as the '+=' operation will use only the
> memory initially allocated for a.

Not true:

>>> x = [2,3]
>>> x += array(2)
>>> type(x)
<type 'numpy.ndarray'>

This is just the design choice made by numpy.

I don't see the need for an error.  Augmented assignment is a
sufficiently advanced
feature that those who use it can be expected to know what it does.
Loosing imaginary part maybe a more compelling reason for an error
than loosing precision, but it would be clearly wrong to have
different types behave differently.  Silent downcasting from float to
int is actually a useful feature.




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