This is documentation for an old release of NumPy (version 1.8.1). Read this page in the documentation of the latest stable release (version > 1.17).
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 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]])