On Mon, Nov 16, 2009 at 11:34 PM, "V. Armando Solé" <s...@esrf.fr> wrote:
> Sebastian Berg wrote:
>> Known issue, I think someone posted about it a while ago too. The numpy
>> min is array aware, and it expects an array. The second argument is the
>> axis, which in the case of a single number doesn't matter.
>
> I think I have to agree with the original poster.
>
> It would be more correct to rise an exception because the axis is beyond
> the number of axes than to return a confusing result.
Hm, now that I actually try my example
min((5000,), 4)
it fails with an axis out of bounds error. I presume there's a reason
why a 0-D array gets special treatment?
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