josef.p...@gmail.com wrote: >> I'm facing this at the moment: not a big deal, but I'm using histogram2d >> on some data. I just realized that it may have some NaNs in it, and I >> have no idea how those are being handled.
> histogram2d handles neither masked arrays nor arrays with nans > correctly, I really wasn't asking for help (yet) .. but thanks! >>>> x2=x[:,np.isfinite(x).all(0)] >>>> np.histogram2d(x2[0],x2[1],bins=3) > (array([[ 0., 0., 1.], > [ 0., 0., 0.], > [ 1., 0., 0.]]), array([ 1. , 1.66666667, > 2.33333333, 3. ]), array([ 1. , 1.33333333, > 1.66666667, 2. ])) I'll probably do something like that for now. I guess the question is -- should this be built in to histogram2d (and other similar functions)? -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
