np.savez() for multiple arrays in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to save two arrays into a single .npz file using np.savez.

NumPy

import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
np.savez('data.npz', [1]=arr1, arr2=arr2)

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

Aarray1

Bdata1

Carr1

Dfirst

Attempts:

3 left

💡 Hint

Common Mistakes

Using a name that does not match the variable name.

Forgetting to name the first array.

You must provide a name for the first array when saving with np.savez. Here, arr1 is the correct name matching the variable.

2fill in blank

medium

Complete the code to load the arrays saved in 'data.npz' and print the first array.

NumPy

import numpy as np
loaded = np.load('data.npz')
print(loaded[[1]])

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

A'arr1'

B'arr2'

C'array1'

D'data1'

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong key name to access the array.

Forgetting to use quotes around the key.

When loading arrays from a .npz file, you access them by the names used when saving. Here, the first array was saved as arr1.

3fill in blank

hard

Fix the error in the code to save three arrays named 'a', 'b', and 'c' into 'arrays.npz'.

NumPy

import numpy as np
a = np.array([1, 2])
b = np.array([3, 4])
c = np.array([5, 6])
np.savez('arrays.npz', a, [1], c)

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

Aarr_b

Bb

Carray_b

Db_array

Attempts:

3 left

💡 Hint

Common Mistakes

Using a name that does not match the variable.

Forgetting to include the second array.

When saving multiple arrays without naming them, you must pass the variables in order. Here, b is the variable to include as the second array.

4fill in blank

hard

Fill both blanks to create a dictionary of array lengths for words longer than 3 characters.

NumPy

words = ['apple', 'bat', 'carrot', 'dog']
lengths = {word: [1] for word in words if len(word) [2] 3}

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself instead of its length.

Using the wrong comparison operator.

The dictionary comprehension maps each word to its length using len(word). The condition filters words with length greater than 3 using >.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase keys and values greater than 0.

NumPy

data = {'a': 1, 'b': -2, 'c': 3}
result = [1]: [2] for k, v in data.items() if v [3] 0}

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

Ak.upper()

Bv

C>

Dk

Attempts:

3 left

💡 Hint

Common Mistakes

Not converting keys to uppercase.

Using the wrong comparison operator.

Using keys instead of values for the dictionary values.

The dictionary comprehension creates keys as uppercase letters using k.upper(), keeps values as v, and filters for values greater than 0 using >.