Ben Axelrod wrote: > 3. Both of the above mentioned bandaid fixes suffer from some bug (I > think in numpy). Where the min() and max() of a numpy array where the > first value is NaN, bugs out: > > > > x = np.asarray([None, 1, 2, 3, 4, 5, 6, 7, 8, 9], float) > > y = np.asarray([0, 1, 2, 3, 4, 5, 6, 7, 8, None], float) > > z = np.asarray([0, 1, 2, 3, 4, 5, None, 7, 8, 9], float) > > > > print min(x), max(x) #prints 1.#QNAN 1.#QNAN > > print min(y), max(y) #prints 0.0 8.0 > > print min(z), max(z) #pritns 0.0 9.0
It's actually pure luck that min/max worked at all. What you want is numpy.nanmax() and numpy.nanmin() which properly handle NaN's in your array. Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
