[Solved] What will be printed by this code?import numpy as np from scipy import io arr = np.array([[4, 5], [6, 7]]) io.savemat('sample.mat', {'matrix': arr}) data = io.loadmat('sample.... | SciPy

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What will be printed by this code?

import numpy as np
from scipy import io
arr = np.array([[4, 5], [6, 7]])
io.savemat('sample.mat', {'matrix': arr})
data = io.loadmat('sample.mat')
print(data['matrix'])

A[4 5 6 7]

B[[4 5] [6 7]]

C{'matrix': array([[4, 5], [6, 7]])}

DError: KeyError

Step-by-Step Solution

Solution:

Step 1: Save the numpy array
The array arr is saved under the key 'matrix' in 'sample.mat' using savemat.
Step 2: Load the .mat file
Using loadmat, the file is loaded into a dictionary where 'matrix' maps to the original numpy array.
Step 3: Print the loaded array
Printing data['matrix'] outputs the original 2D numpy array as a formatted array.
Final Answer:
[[4 5] [6 7]] -> Option B
Quick Check:
Loaded arrays print as numpy arrays [OK]

Quick Trick: loadmat returns dict; access arrays by keys [OK]

Common Mistakes:

Expecting a flattened array
Printing the whole dict instead of the array
Using wrong key causing KeyError

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What will be printed by this code?

Step 1: Save the numpy array

Step 2: Load the .mat file

Step 3: Print the loaded array

Final Answer:

Quick Check:

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