matrix.std()

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
>>> x.std(0)
matrix([[ 3.26598632,  3.26598632,  3.26598632,  3.26598632]])
>>> x.std(1)
matrix([[ 1.11803399],
        [ 1.11803399],
        [ 1.11803399]])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.matrix.std.html

doc_NumPy

2025-01-10 15:47:30

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