[Solved] What will be the output of this code snippet?import numpy as np from scipy import io arr = np.array([1, 2, 3]) io.savemat('test.mat', {'array': arr}) data = io.loadmat('test.mat') print(data['array']) | SciPy

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What will be the output of this code snippet?

import numpy as np
from scipy import io
arr = np.array([1, 2, 3])
io.savemat('test.mat', {'array': arr})
data = io.loadmat('test.mat')
print(data['array'])

A[[1 2 3]]

BError: KeyError

C[[1] [2] [3]]

D[1 2 3]

Step-by-Step Solution

Solution:

Step 1: Understand how savemat stores arrays
When saving a 1D numpy array, savemat stores it as a 2D array with shape (1, n) by default.
Step 2: Check the loaded data shape
Loading back with loadmat returns a 2D array with shape (1, 3), so printing shows [[1 2 3]].
Final Answer:
[[1 2 3]] -> Option A
Quick Check:
1D array saved as 2D row = [[1 2 3]] [OK]

Quick Trick: Loaded arrays from .mat are often 2D, not 1D [OK]

Common Mistakes:

Expecting 1D array output
Confusing row vs column shape
Assuming KeyError due to wrong key

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What will be the output of this code snippet?

Step 1: Understand how savemat stores arrays

Step 2: Check the loaded data shape

Final Answer:

Quick Check:

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