On 2013/12/05 5:14 PM, Faraz Mirzaei wrote: > Hi, > > If I pass a masked array through np.asarray, I get original unmasked array. > > Example: > > test = np.array([[1, 0], [-1, 3]]) > > testMasked = ma.masked_less_equal(test, 0) > > > print testMasked > > [[1 --] > > [-- 3]] > > > print testMasked.fill_value > > 999999 > > > print np.asarray(testMasked) > > [[ 1 0] > > [-1 3]] > > > Is this behavior intentional? How does the np.asarray access the > original masked values? Shouldn't the masked values be at least filled > with fill_value?
It might be nice, but it's not the way it is. If you want to preserve masked arrays, use np.asanyarray() instead of np.asarray(). If you want to end up with filled ndarrays, use np.ma.filled(). Eric > > > Thanks, > > > Faraz > > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
