Why saving and loading matters in NumPy - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to save a NumPy array to a file.

NumPy

import numpy as np
arr = np.array([1, 2, 3, 4, 5])
np.save('my_array.npy', [1])

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

Aarray

Barr

Cnp.array

Dmy_array

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the wrong variable name.

Trying to save the function instead of the array.

The np.save function saves the array passed as the second argument. Here, arr is the array we want to save.

2fill in blank

medium

Complete the code to load a saved NumPy array from a file.

NumPy

import numpy as np
loaded_arr = np.[1]('my_array.npy')

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Aload

Bsave

Cread

Dopen

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.save instead of np.load.

Using file open functions instead of NumPy's load.

The np.load function loads a saved NumPy array from a file.

3fill in blank

hard

Fix the error in the code to correctly save a NumPy array.

NumPy

import numpy as np
arr = np.array([10, 20, 30])
np.save('data.npy', [1])

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

Aarray

Bnp.array

Carr

Ddata

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the function np.array instead of the variable.

Passing a variable that does not exist.

The variable holding the array is arr. Passing arr to np.save correctly saves the array.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that saves lengths of 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 wrong comparison operator.

Using the word itself instead of its length.

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 comprehension that saves uppercase words with length greater than 3.

NumPy

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

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Aword.upper()

Bword

C>

Dlen(word)

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping keys and values.

Using wrong comparison operator.

Not converting words to uppercase.

The dictionary comprehension uses the uppercase word as the key (word.upper()) and the original word as the value. It filters words with length greater than 3 using >.