On 06/17/2010 05:52 AM, Ryan May wrote: > On Thu, Jun 17, 2010 at 10:52 AM, Andreas Hilboll<li...@hilboll.de> wrote: >> Hi there, >> >> I just noticed today that when I call hist() on a masked_array, also those >> values which are masked out are displayed (with their fill_value). Is that >> really the desired behaviour? >> >> I'm working in an environment where we're mostly using masked_array, but >> also sometimes the 'normal' ndarray. So I would need to do something like >> >> try: >> data = data.compressed() >> except: >> pass >> hist(data) >> >> all the time ... Is there any easier solution? > > Unfortunately, these lines in Axes.hist(): > > # TODO: support masked arrays; > x = np.asarray(x) > > say it all. I think changing to asanyarray() should work (I'm not sure > what, if anything, this would break), but there's no way for you to > get this behavior without editing your local copy of axes.py.
It takes considerably more than that. Nothing terribly difficult, but more than a couple lines. Eric > > Ryan > ------------------------------------------------------------------------------ ThinkGeek and WIRED's GeekDad team up for the Ultimate GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the lucky parental unit. See the prize list and enter to win: http://p.sf.net/sfu/thinkgeek-promo _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
