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NumPy | setdiff1d method
schedule Aug 11, 2023
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Numpy's setdiff1d(~)
method returns the unique values in a
that does not exist in b
.
Parameters
1. a
| array-like
The first array.
2. b
| array-like
The second array.
3. assume_unique
| boolean
If both a
and b
contain only uniques, set this to True
as it will boost performance. By default, assume_unique=False
.
Return value
A Numpy array that contains the unique values of the first array that does not exist in the second array.
Examples
a = np.array([5,4,2,2])b = np.array([5,2,5,3])np.setdiffd(a,b)
array([4])
Here, [4]
is returned because of two steps:
we first only consider the unique values in
a
, that is,[5,4,2]
.next, the values 5 and 2 exist in
b
, so they are removed as well.
Published by Isshin Inada
Edited by 0 others
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