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mean(self, axis=None, dtype=None, out=None)

Refer to numpy.mean for full documentation.

Notes

Same as :None:None:`ndarray.mean` except that, where that returns an ndarray , this returns a matrix object.

Returns the average of the matrix elements along the given axis.

See Also

numpy.mean

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.mean()
5.5
>>> x.mean(0)
matrix([[4., 5., 6., 7.]])
>>> x.mean(1)
matrix([[ 1.5],
        [ 5.5],
        [ 9.5]])
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GitHub : /numpy/matrixlib/defmatrix.py#413
type: <class 'function'>
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