numpy.setdiff1d
- numpy. setdiff1d ( ar1, ar2, assume_unique=False ) [source]
-
Find the set difference of two arrays.
Return the unique values in
ar1
that are not inar2
.- 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 inar2
. The result is sorted whenassume_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])
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https://numpy.org/doc/1.22/reference/generated/numpy.setdiff1d.html