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How to find set difference between two Numpy arrays?
In this program, we will find the set difference of two numpy arrays. We will use the setdiff1d() function in the numpy library. This function takes two parameters: array1 and array2 and returns the unique values in array1 that are not in array2.
Algorithm
Step 1: Import numpy. Step 2: Define two numpy arrays. Step 3: Find the set difference between these arrays using the setdiff1d() function. Step 4: Print the output.
Example Code
import numpy as np
array_1 = np.array([2,4,6,8,10,12])
print("Array 1: \n", array_1)
array_2 = np.array([4,8,12])
print("\nArray 2: \n", array_2)
set_diff = np.setdiff1d(array_1, array_2)
print("\nThe set difference between array_1 and array_2 is:\n",set_diff)Output
Array 1: [ 2 4 6 8 10 12] Array 2: [ 4 8 12] The set difference between array_1 and array_2 is: [ 2 6 10]
Explanation
Array 1 has elements 2, 6, and 10 which are not in Array 2. Hence [2 6 10] are is the set difference between the two arrays.
Updated on: 16-Mar-2021
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