MaskedArray.clip(min=None, max=None, out=None)

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

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

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

MaskedArray.unshare_mask()

MaskedArray.torecords()

numpy.ma.ediff1d(arr, to_end=None, to_begin=None)

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

MaskedArray.ravel(order='C')

numpy.ma.frombuffer(buffer, dtype=float, count=-1, offset=0) = Interpret a buffer as a 1-dimensional array.