[Numpy-discussion] Question on numpy.ma.masked_values

Hello,

From the masked_values() documentation -> http://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.masked_values.h...

I10 np.ma.masked_values(x, 1.5) O10 masked_array(data = [ 1. 1.1 2. 1.1 3. ], mask = False, fill_value = 1.5) I12 np.ma.masked_values(x, 1.5, shrink=False) O12 masked_array(data = [ 1. 1.1 2. 1.1 3. ], mask = False, fill_value = 1.5) Shouldn't setting the 'shrink' to False return an array of False values for the mask field? If not so, how can I return a set of False values if my masking condition is not met? Using: I16 np.__version__ O16 '2.0.0.dev-7e202a2' Thanks. -- Gökhan