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Showing content from https://docs.scipy.org/doc/numpy/reference/generated/numpy.matrix.mean.html below:

numpy.matrix.mean — NumPy v2.3 Manual

method

matrix.mean(axis=None, dtype=None, out=None)[source]#

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

Refer to numpy.mean for full documentation.

Notes

Same as ndarray.mean except that, where that returns an ndarray, this returns a matrix object.

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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