A Compute Sum of Each Slice in 3D NumPy Array?
Code Explanation:
● Library Import: numpy is imported as np to perform array operations.
● Create 3D Array: np.random.rand(2, 3, 4) generates a 3D NumPy array with shape (2, 3, 4) filled with random float values.
● Compute Sum: np.sum(arr, axis=(1, 2)) computes the sum over axes 1 and 2, which means summing all rows and columns in each 2D slice.
● Slice-wise Sum: The result is a 1D array containing the sum of elements in each 2D slice (block) of the 3D array.
● Store Result: The result is stored in sum_each_slice.
● Display Output: print(sum_each_slice) prints the sum of each 2D slice separately.
Program:
import numpy as np
arr = np.random.rand(2, 3, 4)
sum_each_slice = np.sum(arr, axis=(1, 2))
print(sum_each_slice)
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