numpy.matrix.std#

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 tonumpy.std for full documentation.

See also

numpy.std

Notes

This is the same asndarray.std, except that where anndarray wouldbe returned, amatrix object is returned instead.

Examples

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>>>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]])

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