MaskedArray.reshape(*s, **kwargs)

numpy.ma.clump_unmasked(a)

MaskedArray.min(axis=None, out=None, fill_value=None)

MaskedArray.any(axis=None, out=None)

numpy.ma.ravel(self, order='C') = Returns a 1D version of self, as a view.

numpy.ma.around = Round an array to the given number of decimals. Refer to

numpy.ma.any(self, axis=None, out=None) = Check if any of the elements of a are true. Performs a logical_or over

numpy.ma.compress_cols(a)

numpy.ma.reshape(a, new_shape, order='C')

numpy.ma.masked_greater_equal(x, value, copy=True)