# numpy.setdiff1d

numpy.setdiff1d(ar1, ar2, assume_unique=False)

  Find the set difference of two arrays.

  Return the unique values in ar1 that are not in ar2.

  Parameters:
    ar1 array_like

      Input array.

    ar2 array_like

      Input comparison array.

    assume_unique bool

      If True, the input arrays are both assumed to be unique, which can speed up the calculation. Default is False.

  Returns:
    setdiff1d ndarray

      1D array of values in ar1 that are not in ar2. The result is sorted when assume_unique=False, but otherwise only sorted if the input is sorted.

  See also

  `numpy.lib.arraysetops`

    Module with a number of other functions for performing set operations on arrays.

  Examples

      >>> a = np.array([1, 2, 3, 2, 4, 1])
      >>> b = np.array([3, 4, 5, 6])
      >>> np.setdiff1d(a, b)
      array([1, 2])