On Tue, Aug 12, 2008 at 1:46 AM, Andrew Dalke <[EMAIL PROTECTED]>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. -Kevin
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