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

numpy.ma.cumprod(self, axis=None, dtype=None, out=None) = Return the cumulative product of the elements along the given axis

numpy.ma.conjugate(x[, out]) = Return the complex conjugate, element-wise. The complex conjugate of a complex number

numpy.ma.masked_invalid(a, copy=True)

numpy.ma.max(obj, axis=None, out=None, fill_value=None)

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

numpy.ma.soften_mask(self) = Force the mask to soft. Whether the mask of a masked array is hard or soft is determined

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

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

numpy.ma.default_fill_value(obj)