numpy.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.See also
Notes
This is the same as
ndarray.std
, except that where anndarray
would be returned, amatrix
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]])