If you want to compare two arrays in Python without considering their memory location (i.e., without linking them), you can use the np.array_equal()
function from the NumPy library. This function compares the elements of the arrays, regardless of their memory addresses. Here’s an example:
import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([1, 2, 3])
result = np.array_equal(arr1, arr2)
print(result)
Output:
True
In this example, we use the np.array_equal()
function to compare the arrays arr1
and arr2
. The function checks if the elements in both arrays are equal, regardless of the memory location of the arrays. The resulting Boolean value (result
) indicates whether the arrays are equal or not.
If the arrays have the same shape and contain the same elements in the same order, the function will return True
. Otherwise, it will return False
.
Make sure you have the NumPy library installed (pip install numpy
) before running this code. By using np.array_equal()
, you can compare two arrays without considering their memory locations and determine if they are equal.
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