numpy.ma.masked_inside(x, v1, v2, copy=True)

numpy.ma.median(a, axis=None, out=None, overwrite_input=False)

numpy.ma.masked_all_like(arr)

numpy.ma.load(F)

numpy.ma.cumsum(self, axis=None, dtype=None, out=None) = Return the cumulative sum of the elements along the given axis. The cumulative

numpy.ma.innerproduct(a, b)

numpy.ma.allclose(a, b, masked_equal=True, rtol=1e-05, atol=1e-08)

numpy.ma.vstack(tup) = Stack arrays in sequence vertically (row wise). Take a sequence of arrays and stack them vertically

numpy.ma.hsplit(ary, indices_or_sections) = Split an array into multiple sub-arrays horizontally (column-wise). Please

numpy.ma.outer(a, b)