std(self, axis=None, dtype=None, out=None, ddof=0)
Refer to numpy.std
for full documentation.
This is the same as :None:None:`ndarray.std`, except that where an ndarray
would be returned, a matrix
object is returned instead.
Return the standard deviation of the array elements along the given axis.
>>> 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 # 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]])See :
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