jax.numpy.setdiff1dΒΆ

jax.numpy.setdiff1d(ar1, ar2, assume_unique=False)[source]ΒΆ

Find the set difference of two arrays.

LAX-backend implementation of setdiff1d().

In the JAX version, the assume_unique argument is not referenced.

Original docstring below.

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 – 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.

Return type

ndarray

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])