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

numpy.matrix.var — NumPy v2.3 Manual

method

matrix.var(axis=None, dtype=None, out=None, ddof=0)[source]#

Returns the variance of the matrix elements, along the given axis.

Refer to numpy.var for full documentation.

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]]) # may vary
>>> x.var(1)
matrix([[1.25],
        [1.25],
        [1.25]])

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