On Fri, Jul 25, 2008 at 19:19, Stéfan van der Walt wrote:

2008/7/25 Thomas J. Duck :

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Hi,

There is some unexpected behaviour (to me) when 0-dimensional arrays are compared with values. For example:

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numpy.array([0]).squeeze() == 0 True

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numpy.array([None]).squeeze() == None False

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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

(some_ndarray == None) == False is actually an intentional special case. I forget the details of why, and I don't feel like reinstalling Numeric or numarray to see if it was backwards compatibility, but it's not a bug. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco