numpy.ma.nonzero(self) = Return the indices of unmasked elements that are not zero. Returns a tuple of arrays, one for

numpy.ma.resize(x, new_shape)

numpy.ma.anomalies(self, axis=None, dtype=None) = Compute the anomalies (deviations from the arithmetic mean) along the given

numpy.ma.mask_or(m1, m2, copy=False, shrink=True)

numpy.ma.masked_values(x, value, rtol=1e-05, atol=1e-08, copy=True, shrink=True)

MaskedArray.count(axis=None)

numpy.ma.count_masked(arr, axis=None)

numpy.ma.mask_rows(a, axis=None)

numpy.ma.masked_array

numpy.ma.where(condition, x=, y=)