# numpy.matrix.min

method

matrix.min(axis=None, out=None)

  Return the minimum value along an axis.

  Parameters:
    See `amin` for complete descriptions.

  See also

  `amin`, `ndarray.min`

  Notes

  This is the same as `ndarray.min`, but returns a `matrix` object where `ndarray.min` would return an ndarray.

  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.min()
      -11
      >>> x.min(0)
      matrix([[ -8,  -9, -10, -11]])
      >>> x.min(1)
      matrix([[ -3],
              [ -7],
              [-11]])