numpy.setdiff1d() function in Python

numpy.i0() function | Python

numpy.setdiff1d() function find the set difference of two arrays and return the unique values in arr1 that are not in arr2.

Syntax : numpy.setdiff1d(arr1, arr2, assume_unique = False)

Parameters :
arr1 : [array_like] Input array.
arr2 : [array_like] Input comparison array.
assume_unique : [bool] If True, the input arrays are both assumed to be unique, which can speed up the calculation. Default is False.

Return : [ndarray] 1D array of values in arr1 that are not in arr2. The result is sorted when assume_unique = False, but otherwise only sorted if the input is sorted.

Code #1 :

# Python program explaining 
# numpy.setdiff1d() function 
    
# importing numpy as geek  
import numpy as geek  
   
arr1 = [5, 6, 2, 3, 4] 
arr2 = [1, 2, 3] 
   
gfg = geek.setdiff1d(arr1, arr2) 
   
print (gfg) 

Output :

[4 5 6]

Code #2 :

# Python program explaining 
# numpy.setdiff1d() function 
    
# importing numpy as geek  
import numpy as geek  
   
arr1 = [1, 2, 3, 4, 5, 6, 7, 8, 9] 
arr2 = [1, 3, 5, 7, 9, 11, 13, 15] 
   
gfg = geek.setdiff1d(arr1, arr2) 
   
print (gfg) 

Output :

[2 4 6 8]

Tags:

#python #Python numpy-arrayManipulation #Python-numpy #Machine Learning #Machine Learning #python

numpy.i0() function | Python

numpy.setdiff1d() function in Python

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