2008/7/25 Thomas J. Duck <[EMAIL PROTECTED]>: > Hi, > > There is some unexpected behaviour (to me) when 0-dimensional > arrays are compared with values. For example: > > >>> numpy.array([0]).squeeze() == 0 > True > > >>> numpy.array([None]).squeeze() == None > False > > >>> numpy.array(['a']).squeeze() == 'a' > array(True, dtype=bool) > > Note that each test follows the same pattern, although the dtype for > each squeezed array is different. The first case result is what I > expected, and the second case result appears wrong. The return type > for the third case is inconsistent with those before, but is at least > workable. > > Are these the intended results?
I would think not. E.g., in the following case broadcasting should kick in: In [20]: np.array([None, None, None]) == None Out[20]: False In [21]: np.array([None, None, None]) == [None] Out[21]: array([ True, True, True], dtype=bool) Cheers Stéfan _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
