On 5/8/07, Pierre GM <[EMAIL PROTECTED]> wrote:
All, On a 2D array, numpy.core.umath.maximum.reduce returns a 1D array (the default axis is 0). An axis=None is not recognized as a valid argument for numpy.core.umath.maximum, unfortunately... Is this the wanted behavior ? Thanks a lot in advance
I see no one answered ;) I think it is traditional behaviour from Numeric, so can't be changed without a bit of thought. Why not file a ticket for the 1.1 release and see how folks respond? Is there any reason why you can't use the x.max() method? Chuck
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