[Numpy-discussion] should numpy.equal raise an exception instead of returning NotImplemented?
Tue Jan 26 07:59:05 CST 2010
2010/1/26 Ernest Adrogué <firstname.lastname@example.org>:
> Do you think it is sensible for np.equal to return a NotImplemented
> object when is given an array of variable length dtype?
> Consider this code:
> x = np.array(['xyz','zyx'])
> np.where(np.equal(x, 'zyx'), [0,0], [1,1])
> the last line returns array([0, 0]) which is wrong. Compare with
> np.where(x == 'zyx', [0,0], [1,1])
> I think in this case raising an exception would be better, because
> of the way np.equal is often used as an argument to another function.
> It's not easy to see where the bug is or even that there is a bug
> in your code.
there was a thread on this on december 7, but maybe nobody filed a ticket.
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