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

numpy.matrix.std — NumPy v2.3 Manual

method

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

Return the standard deviation of the array elements along the given axis.

Refer to numpy.std for full documentation.

Notes

This is the same as ndarray.std, 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.std()
3.4520525295346629 # may vary
>>> x.std(0)
matrix([[ 3.26598632,  3.26598632,  3.26598632,  3.26598632]]) # may vary
>>> x.std(1)
matrix([[ 1.11803399],
        [ 1.11803399],
        [ 1.11803399]])

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