numpy.matrix.std — NumPy v2.6.dev0 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)))>>> xmatrix([[ 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]])