[Solved] What will be the output of the following code?import numpy as np arr = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]]) print(arr.shape) | NumPy

NumPy - Fundamentals

What will be the output of the following code?

import numpy as np
arr = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
print(arr.shape)

A(3, 2)

B(2, 2, 2)

C(2, 4)

D(4, 2)

Step-by-Step Solution

Solution:

Step 1: Analyze the array structure
The array is a 3D array with two main elements, each containing two sub-elements, each of which contains two numbers.
Step 2: Determine the shape
So, the shape corresponds to (2 blocks, 2 rows, 2 columns) = (2, 2, 2).
Final Answer:
(2, 2, 2) -> Option B
Quick Check:
Count elements in each dimension [OK]

Quick Trick: Count nested brackets to find shape dimensions [OK]

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