> In an array I want to replace all NANs with some number say 100, I > found a method nan_to_num but it only replaces with zero. > Any solution for this?
Indexing with a mask is one approach here: a[numpy.isnan(a)] = 100 also cf. numpy.isfinite as well in case you want the same with infs. Zach On Mar 30, 2010, at 2:59 PM, Vishal Rana wrote: > Hi, > > In an array I want to replace all NANs with some number say 100, I > found a method nan_to_num but it only replaces with zero. > Any solution for this? > > Thanks > Vishal > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
