numpy.matrix.std

method

matrix.std(axis=None, dtype=None, out=None, ddof=0)[源代码]

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

Refer to numpy.std for full documentation.

参见

numpy.std

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]])