# numpy.matrix.std

method

matrix.std(axis=None, dtype=None, out=None, ddof=0)

  Return the standard deviation of the array elements along the given axis.

  Refer to `numpy.std` for full documentation.

  See also

  `numpy.std`

  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 # 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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