31 Mar Difference between Numpy arrays
To find the difference between two arrays, use the numpy.setdiff1d() method. This means if we are subtracting two arrays, then setdiff1d() will subtract the common elements from the 1st array and display the rest of the elements of the 1st array.
The 1st and 2nd arrays are placed as two-parameter values as shown in the below syntax:
Syntax
setdiff1d(array1, array2)
Let us now see two examples and understand the concept:
Find the difference between two arrays
The numpy.setdiff1d() method is used to find the difference between two arrays in Python Numpy. Let us see an example:
import numpy as np
# Create two arrays
n1 = np.array([5, 10, 15, 20, 25, 30, 35, 40, 45, 50])
n2 = np.array([30, 35, 50, 55, 60, 65, 75, 85, 95, 100])
print("Iterating array1...")
for a in n1:
print(a)
print("\nIterating array2...")
for a in n2:
print(a)
# n1 - n2
diffarr = np.setdiff1d(n1, n2)
print("\nDifference = \n", diffarr)
Output
Iterating array1... 5 10 15 20 25 30 35 40 45 50 Iterating array2... 30 35 50 55 60 65 75 85 95 100 Difference = [ 5 10 15 20 25 40 45]
Finding the difference between two arrays (n2 -n1)
Let us see the above example, with parameters being swapped. That means now, we will perform n2 – n1. Let us see an example:
import numpy as np
# Create two arrays
n1 = np.array([5, 10, 15, 20, 25, 30, 35, 40, 45, 50])
n2 = np.array([30, 35, 50, 55, 60, 65, 75, 85, 95, 100])
print("Iterating array1...")
for a in n1:
print(a)
print("\nIterating array2...")
for a in n2:
print(a)
# Get the difference
resarr = np.setdiff1d(n2, n1)
print("\nDifference = \n", resarr)
Output
Iterating array1... 5 10 15 20 25 30 35 40 45 50 Iterating array2... 30 35 50 55 60 65 75 85 95 100 Difference = [ 55 60 65 75 85 95 100]
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