Apply Function to Each Element in NumPy Array?
Code Explanation:
● Library Import: numpy is imported as np to use array operations.
● Create Array: arr is a NumPy array with integer values.
● Define Function: A lambda function lambda x: x**2 is used to square each element.
● Apply Function: np.vectorize() allows the lambda function to work element-wise on the array.
● Function Execution: The vectorized function is called with (arr) to apply it to each element.
● Store Result: The squared results are stored in the variable squared.
● Display Output: print(squared) prints the array with squared values.
Program:
import numpy as np
arr = np.array([1, 2, 3, 4])
squared = np.vectorize(lambda x: x**2)(arr)
print(squared)
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