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numpy string operations | not_equal() function

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numpy.core.defchararray.not_equal(arr1, arr2) is another function for doing string operations in numpy. It checks the elements of two same shaped array one by one and returns True if they are not equal. Otherwise, it returns False.

Parameters: 
arr1 : array_like of str or unicode. 
arr2 : array_like of str or unicode.
Returns : [ndarray] Output array of bools, or a single bool if arr1 and arr2 are scalars.

Code #1 : 

Python3




# Python program explaining
# numpy.char.not_equal() method
 
# importing numpy
import numpy as geek
 
# input arrays 
in_arr1 = geek.array('numpy')
print ("1st Input array : ", in_arr1)
 
in_arr2 = geek.array('numpy')
print ("2nd Input array : ", in_arr2) 
 
# checking if they are not equal
out_arr = geek.char.not_equal(in_arr1, in_arr2)
print ("Output array: ", out_arr)


Output: 

1st Input array :  numpy
2nd Input array :  numpy
Output array:  False

 

  Code #2 : 

Python3




# Python program explaining
# numpy.char.not_equal() method
 
# importing numpy
import numpy as geek
 
# input arrays 
in_arr1 = geek.array(['Geeks', 'for', 'Geeks'])
print ("1st Input array : ", in_arr1)
 
in_arr2 = geek.array(['Geek', 'for', 'Geek'])
print ("2nd Input array : ", in_arr2)
 
# checking if they are not equal
out_arr = geek.char.not_equal(in_arr1, in_arr2)
print ("Output array: ", out_arr)


Output: 

1st Input array :  ['Geeks' 'for' 'Geeks']
2nd Input array :  ['Geek' 'for' 'Geek']
Output array:  [ True False  True]

 

Code #3 : 

Python3




# Python program explaining
# numpy.char.not_equal() method
 
# importing numpy
import numpy as geek
 
# input arrays 
in_arr1 = geek.array(['10', '11', '12'])
print ("1st Input array : ", in_arr1)
 
in_arr2 = geek.array(['10', '11', '121'])
print ("2nd Input array : ", in_arr2)
 
 
# checking if they are not equal
out_arr = geek.char.not_equal(in_arr1, in_arr2)
print ("Output array: ", out_arr)


Output: 

1st Input array :  ['10' '11' '12']
2nd Input array :  ['10' '11' '121']
Output array:  [False False  True]

 


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Last Updated : 28 Nov, 2022
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