# 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])

previous

numpy.isin

next

numpy.setxor1d