Hi, 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. Cheers. Ernest _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
