On Wed, Sep 29, 2010 at 5:37 PM, Pierre GM <pgmdevl...@gmail.com> wrote: > > 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.
any of the ma stack array function might also work, or not? Josef > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
