numpy.ma.clump_masked(a)

numpy.ma.arange([start, ]stop, [step, ]dtype=None) = Return evenly spaced values within a given interval. Values are generated

MaskedArray.set_fill_value(value=None)

numpy.ma.diag(v, k=0)

numpy.ma.mean(self, axis=None, dtype=None, out=None) = Returns the average of the array elements. Masked entries are ignored

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

numpy.ma.append(a, b, axis=None)

numpy.ma.corrcoef(x, y=None, rowvar=True, bias=, allow_masked=True, ddof=)

numpy.ma.getmask(a)

numpy.ma.choose(indices, choices, out=None, mode='raise')