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numpy.core.defchararray.equal (arr1, arr2) — this is another function for doing string operations in numpy. It checks the elements of two identical arrays one by one and returns True if they are equal. Otherwise False is returned.
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:
Output :
# Python program explaining
# numpy.char.equal () method
# numpy import 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)
# check if they are equal out_arr = geek.char.equal (in_arr1, in_arr2) print ( "Output array:" , out_arr)
1st Input array: numpy 2nd Input array: numpy Output array: True
Code # 2:
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Output:
1st Input array: [’Geeks’’ for’ ’Geeks’] 2nd Input array: [’ Geek’ ’for’’ Geek’] Output array: [False True False]
Code # 3:
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Output:
1st Input array: [’10’’ 11’ ’12’] 2nd Input array: [’ 10’ ’11’’ 121’] Output array: [True True False]
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Abu Dhabi | 2023-02-01
exp is always a bit confusing 😭 operations with empty strings | equality function () is not the only problem I encountered. I just hope that will not emerge anymore
Milan | 2023-02-01
I was preparing for my coding interview, thanks for clarifying this - operations with empty strings | equality function () in Python is not the simplest one. I am just not quite sure it is the best method
Shanghai | 2023-02-01
Strings PHP module is always a bit confusing 😭 operations with empty strings | equality function () is not the only problem I encountered. Will get back tomorrow with feedback
