On 5/16/07, Anne Archibald <[EMAIL PROTECTED]> wrote:
> Numpy has a max() function. It takes an array, and possibly some extra
> arguments (axis and default). Unfortunately, this means that
>
> >>> numpy.max(-1.3,2,7)
> -1.3
>
> This can lead to surprising bugs in code that either explicitly
> expects it to behave like python's max() or implicitly expects that by
> doing "from numpy import max".
I have several bite marks from
>> x
matrix([[ 2. ],
[ nan],
[ 1. ]])
>> numpy.max(x)
1.0
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