numpy.ma.var(self, axis=None, dtype=None, out=None, ddof=0) = Compute the variance along the specified axis. Returns the variance

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

numpy.ma.size(obj, axis=None)

numpy.ma.common_fill_value(a, b)

MaskedArray.flatten(order='C')

numpy.ma.dump(a, F)

numpy.ma.make_mask(m, copy=False, shrink=True, dtype=)

numpy.ma.mr_ = Translate slice objects to concatenation along the first axis. This is the masked array version of lib

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

numpy.ma.identity(n, dtype=None) = Return the identity array. The identity array is a square array with ones on the main