Saving and loading data (scipy.io) - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to save a NumPy array to a .mat file using scipy.io.

SciPy

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

Drag options to blanks, or click blank then click option'

Asavemat

Bload

Csave

Dloadmat

Attempts:

3 left

💡 Hint

Common Mistakes

Using loadmat instead of savemat to save data.

Using save or load which are not scipy.io functions.

The savemat function saves data to a MATLAB .mat file.

2fill in blank

medium

Complete the code to load data from a .mat file using scipy.io.

SciPy

from scipy import io
data = io.[1]('data.mat')
print(data['arr'])

Drag options to blanks, or click blank then click option'

Aload

Bsavemat

Cloadmat

Dsave

Attempts:

3 left

💡 Hint

Common Mistakes

Using savemat instead of loadmat to load data.

Using save or load which are not scipy.io functions.

The loadmat function loads data from a MATLAB .mat file.

3fill in blank

hard

Fix the error in the code to correctly save two arrays to a .mat file.

SciPy

import numpy as np
from scipy import io
x = np.array([1, 2])
y = np.array([3, 4])
io.savemat('data.mat', [1])

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A{'x': x, 'y': y}

B[x, y]

Cx, y

D('x', x, 'y', y)

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a list or tuple instead of a dictionary.

Passing variables without keys.

The data must be passed as a dictionary mapping variable names to arrays.

4fill in blank

hard

Fill both blanks to save a dictionary with arrays and then load it back.

SciPy

from scipy import io
import numpy as np
data = {'a': np.array([1, 2]), 'b': np.array([3, 4])}
io.[1]('file.mat', data)
loaded = io.[2]('file.mat')
print(loaded['a'])

Drag options to blanks, or click blank then click option'

Asavemat

Bloadmat

Csave

Dload

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up savemat and loadmat.

Using save or load which are not scipy.io functions.

Use savemat to save and loadmat to load data.

5fill in blank

hard

Fill all three blanks to save an array with a custom name, load it, and print the loaded array.

SciPy

import numpy as np
from scipy import io
arr = np.array([10, 20, 30])
io.[1]('mydata.mat', [2])
loaded = io.[3]('mydata.mat')
print(loaded['my_array'])

Drag options to blanks, or click blank then click option'

Asavemat

B{'my_array': arr}

Cloadmat

D{'array': arr}

Attempts:

3 left

💡 Hint

Common Mistakes

Not using a dictionary with the correct key name.

Using wrong function names for saving or loading.

Use savemat to save with a dictionary naming the array, then loadmat to load it back.