numpy.ma.MaskType

MaskedArray.resize(newshape, refcheck=True, order=False)

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

numpy.ma.prod(self, axis=None, dtype=None, out=None) = Return the product of the array elements over the given axis. Masked elements

MaskedArray.var(axis=None, dtype=None, out=None, ddof=0)

MaskedArray.sum(axis=None, dtype=None, out=None)

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

MaskedArray.cumprod(axis=None, dtype=None, out=None)

numpy.ma.average(a, axis=None, weights=None, returned=False)

numpy.ma.compress_rows(a)