2008/8/28 Matthew Brett <[EMAIL PROTECTED]>:
> np.multiply.outer, always returns an ndarray type, regardless of the
> subtypes it is passed.
Sorry, I don't know what I was thinking. You are right!
Cheers
Stéfan
___
Numpy-discussion mailing list
Numpy-d
Hi Stefan,
Thanks for the kindly reply...
> Since both those objects have an __array_priority__ of 0.0, I guess it
> just takes whichever class comes first.
> In [15]: class A(np.ndarray):
> : __array_priority__ = -1.0
I think, playing more...
For np.multiply, it does not seem possib
Hey Matthew
2008/8/27 Matthew Brett <[EMAIL PROTECTED]>:
> In [148]: type(np.multiply(arr, obj)) # this is what I expected
> Out[148]:
>
> In [149]: type(np.multiply.outer(arr, obj)) # this is not - I expected
> class A again
> Out[149]:
Since both those objects have an __array_priority__ of 0.
Hi Travis and team,
I am just writing some docs for subclassing, and ran into some
behavior I didn't understand:
In [143]: class A(np.ndarray): pass
In [144]: arr = np.arange(5)
In [145]: obj = arr.copy().view(A)
In [146]: type(obj)
Out[146]:
In [147]: obj.__array_priority__ # shouldn't thi
