np.sort() for sorting arrays in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to sort the array using numpy.

NumPy

import numpy as np
arr = np.array([3, 1, 2])
sorted_arr = np.[1](arr)
print(sorted_arr)

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Asorted

Bsort

Corder

Darrange

Attempts:

3 left

💡 Hint

Common Mistakes

Using Python's built-in sorted() which returns a list, not a numpy array.

Trying to use non-existing functions like np.order() or np.arrange().

The np.sort() function sorts the array and returns a new sorted array.

2fill in blank

medium

Complete the code to sort the 2D array along rows (axis=1).

NumPy

import numpy as np
arr = np.array([[3, 2, 1], [6, 5, 4]])
sorted_arr = np.sort(arr, axis=[1])
print(sorted_arr)

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A1

B0

C-1

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Using axis=0 which sorts columns instead of rows.

Using axis=2 which is invalid for 2D arrays.

Setting axis=1 sorts each row individually.

3fill in blank

hard

Fix the error in the code to sort the array in-place.

NumPy

import numpy as np
arr = np.array([3, 1, 2])
arr.[1]()
print(arr)

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Anp.sort

Bsorted

Csort

Dsort_array

Attempts:

3 left

💡 Hint

Common Mistakes

Using sorted() which returns a list, not sorting in-place.

Trying to call np.sort() as a method on the array.

The sort() method sorts the array in-place, changing the original array.

4fill in blank

hard

Fill both blanks to create a dictionary with words as keys and their lengths as values, only for words longer than 3 letters.

NumPy

words = ['cat', 'elephant', 'dog', 'horse']
lengths = {word: [1] for word in words if [2]
print(lengths)

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Alen(word)

Bword

Clen(word) > 3

Dword > 3

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as the value instead of its length.

Checking if the word string is greater than 3 instead of its length.

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

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys, their lengths as values, only for words longer than 3 letters.

NumPy

words = ['cat', 'elephant', 'dog', 'horse']
lengths = [1]: [2] for word in words if [3]
print(lengths)

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Aword.upper()

Blen(word)

Clen(word) > 3

Dword.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase words as keys instead of uppercase.

Using the word itself as values instead of length.

Incorrect filter condition.

The dictionary comprehension uses uppercase words as keys, their lengths as values, and filters words longer than 3 letters.