[Numpy-discussion] min() of array containing NaN

Kevin Jacobs <jacobs@bioinformed.com> bioinformed@gmail....
Tue Aug 12 07:42:54 CDT 2008

On Tue, Aug 12, 2008 at 1:46 AM, Andrew Dalke <dalke@dalkescientific.com>wrote:

> Here's the implementation, from lib/function_base.py
> def nanmin(a, axis=None):
>     """Find the minimium over the given axis, ignoring NaNs.
>     """
>     y = array(a,subok=True)
>     if not issubclass(y.dtype.type, _nx.integer):
>         y[isnan(a)] = _nx.inf
>     return y.min(axis)
No wonder nanmin is slow.  A C implementation would run at virtually the
same speed as min.  If there is interest, I'll be happy to code C versions.
A better solution would be to just support NaNs and Inf in the generic code.

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