def var(self, axis=None, dtype=None, out=None, ddof=<NUM_LIT:0>):
return N.ndarray.var(self, axis, dtype, out, ddof, keepdims=True)._collapse(axis)<EOL>
Returns the variance of the matrix elements, along the given axis.

Refer to `numpy.var` for full documentation.

See Also
--------
numpy.var

Notes
-----
This is the same as `ndarray.var`, except that where an `ndarray` would
be returned, a `matrix` object is returned instead.

Examples
--------
>>> x = np.matrix(np.arange(12).reshape((3, 4)))
>>> x
matrix([[ 0,  1,  2,  3],
        [ 4,  5,  6,  7],
        [ 8,  9, 10, 11]])
>>> x.var()
11.916666666666666
>>> x.var(0)
matrix([[ 10.66666667,  10.66666667,  10.66666667,  10.66666667]])
>>> x.var(1)
matrix([[ 1.25],
        [ 1.25],
        [ 1.25]])