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# NumPy | setdiff1d method

schedule Aug 11, 2023
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local_offer
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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.

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