On Sep 29, 2010, at 11:01 PM, Gökhan Sever wrote: > Hello, > > Consider these two simple masked arrays: > > I[188]: a = np.ma.masked_equal([1,2,3], value=2) > > I[189]: b = np.ma.masked_equal([4,3,2], value=2) > > An operation like this voids the mask: > > I[190]: np.append(a,b) > O[190]: > masked_array(data = [1 2 3 4 3 2], > mask = False, > fill_value = 999999)
You're using a standard numpy function on a masked array. It's hardly surprising that you run into some issues. You should use the np.ma equivalent. Except of course that the equivalent doesn't exist yet... Please open a ticket. In the mean time, do it manually: * combining the .data of each item (masked array) of your list is straightforward * repeat for the masks. I advise you to use the getmaskarray function to get the mask of each item, otherwise you may get a `nomask` in the middle which will complicate things * combine the the two results in a new masked array. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
