On Mon, 2 Mar 2009 15:37:33 -0500, Gideon Simpson wrote: > My two questions are: > > 1. What is the best way to handle this? Is it just to add a filter > of the form > > u = u * ( np.abs(u) > 2.3 e-308) > > 2. What gives? What's the origin of this (perceived) inconsistency > in floating points across languages within the same platform?
how are you calculating fmin? numpy has a built-in function that will tell you this information: >>> numpy.finfo( numpy.float ).min -1.7976931348623157e+308 hopefully this helps shed some light on your questions. regards, mike _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
