-
numpy.union1d(ar1, ar2)
[source] -
Find the union of two arrays.
Return the unique, sorted array of values that are in either of the two input arrays.
Parameters: ar1, ar2 : array_like
Input arrays. They are flattened if they are not already 1D.
Returns: union1d : ndarray
Unique, sorted union of the input arrays.
See also
-
numpy.lib.arraysetops
- Module with a number of other functions for performing set operations on arrays.
Examples
12>>> np.union1d([
-
1
,
0
,
1
], [
-
2
,
0
,
2
])
array([
-
2
,
-
1
,
0
,
1
,
2
])
To find the union of more than two arrays, use functools.reduce:
123>>>
from
functools
import
reduce
>>>
reduce
(np.union1d, ([
1
,
3
,
4
,
3
], [
3
,
1
,
2
,
1
], [
6
,
3
,
4
,
2
]))
array([
1
,
2
,
3
,
4
,
6
])
-
numpy.union1d()

2025-01-10 15:47:30
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