Why sorting matters in NumPy - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to sort the array in ascending order.

NumPy

import numpy as np
arr = np.array([3, 1, 4, 1, 5])
sorted_arr = np.[1](arr)
print(sorted_arr)

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

Asort

Bsorted

Corder

Darrange

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.sort which sorts in place and returns None

Using a non-existent function like np.order

The np.sorted() function returns a sorted copy of the array.

2fill in blank

medium

Complete the code to get the indices that would sort the array.

NumPy

import numpy as np
arr = np.array([10, 2, 8, 6])
indices = np.[1](arr)
print(indices)

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Asort

Bargsort

Csorted

Dorder

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.sort which returns sorted values, not indices

Using np.sorted which is not a NumPy function

np.argsort() returns the indices that would sort the array.

3fill in blank

hard

Fix the error in the code to sort the array in descending order.

NumPy

import numpy as np
arr = np.array([7, 3, 9, 1])
sorted_arr = np.sort(arr)[1][::-1]
print(sorted_arr)

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A+

B*

C(no operator)

D-

Attempts:

3 left

💡 Hint

Common Mistakes

Adding an operator like + or * before the slice causes syntax error

Trying to use np.sort(arr)[::-1] but adding extra characters

No operator is needed between np.sort(arr) and [::-1]. The slice directly reverses the sorted array.

4fill in blank

hard

Fill both blanks to create a dictionary of word lengths for words longer than 3 letters.

NumPy

words = ['data', 'is', 'fun', 'and', 'powerful']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong comparison operator like '<'

Using the word itself as the value instead of its length

The dictionary comprehension uses len(word) for values and filters words with length greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase keys and values for words longer than 2 letters.

NumPy

words = ['cat', 'is', 'big', 'and', 'red']
result = [1]: [2] for w in words if len(w) [3] 2
print(result)

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Aw.upper()

Bw

C>

Dlen(w)

Attempts:

3 left

💡 Hint

Common Mistakes

Using length as value instead of the word

Using wrong comparison operator like '<='

The dictionary comprehension uses uppercase words as keys, original words as values, and filters words longer than 2 letters.