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# scipy.stats.ortho_group

`scipy.stats.``ortho_group` = <scipy.stats._multivariate.ortho_group_gen object>

  A matrix-valued O(N) random variable.

  Return a random orthogonal matrix, drawn from the O(N) Haar distribution (the only uniform distribution on O(N)).

  The dim keyword specifies the dimension N.

  Parameters: | dim : scalar Dimension of matrices

  Notes

  This class is closely related to `special_ortho_group`.

  Some care is taken to avoid numerical error, as per the paper by Mezzadri.

  References

  [R617] | F. Mezzadri, “How to generate random matrices from the classical compact groups”, arXiv:math-ph/0609050v2.

  Examples

      >>> from scipy.stats import ortho_group
      >>> x = ortho_group.rvs(3)

      >>> np.dot(x, x.T)
      array([[  1.00000000e+00,   1.13231364e-17,  -2.86852790e-16],
             [  1.13231364e-17,   1.00000000e+00,  -1.46845020e-16],
             [ -2.86852790e-16,  -1.46845020e-16,   1.00000000e+00]])

      >>> import scipy.linalg
      >>> np.fabs(scipy.linalg.det(x))
      1.0

  This generates one random matrix from O(3). It is orthogonal and has a determinant of +1 or -1.

  Methods

  `rvs(dim=None, size=1, random_state=None)` | Draw random samples from O(N).