np.round(), np.floor(), np.ceil() in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to round the values in the array to the nearest integer.

NumPy

import numpy as np
arr = np.array([1.2, 2.5, 3.7])
rounded = np.[1](arr)
print(rounded)

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

Aceil

Bround

Cfloor

Dabs

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.floor or np.ceil instead of np.round

Forgetting to import numpy

The np.round() function rounds each element in the array to the nearest integer.

2fill in blank

medium

Complete the code to get the largest integer less than or equal to each element in the array.

NumPy

import numpy as np
arr = np.array([1.2, 2.5, 3.7])
floored = np.[1](arr)
print(floored)

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

Aabs

Bround

Cceil

Dfloor

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.ceil instead of np.floor

Confusing floor with round

The np.floor() function returns the largest integer less than or equal to each element.

3fill in blank

hard

Fix the error in the code to get the smallest integer greater than or equal to each element.

NumPy

import numpy as np
arr = np.array([1.2, 2.5, 3.7])
ceiled = np.[1](arr)
print(ceiled)

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

Afloor

Babs

Cceil

Dround

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.floor instead of np.ceil

Using np.round instead of np.ceil

The np.ceil() function returns the smallest integer greater than or equal to each element.

4fill in blank

hard

Fill both blanks to create a dictionary with words as keys and their lengths rounded down if length is greater than 3.

NumPy

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

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

Afloor

B>

C<=

Dround

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.round instead of np.floor

Using <= instead of > in the condition

We use np.floor to round lengths down and filter words with length greater than 3 using >.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys and their lengths rounded up if length is less than 5.

NumPy

import numpy as np
words = ['apple', 'bat', 'carrot', 'dog']
lengths = {word.[1](): np.[2](len(word)) for word in words if len(word) [3] 5}
print(lengths)

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

Aupper

Bceil

C<

Dfloor

Attempts:

3 left

💡 Hint

Common Mistakes

Using floor instead of ceil for rounding

Using > instead of < in the condition

Forgetting to convert words to uppercase

We convert words to uppercase with upper(), round lengths up with ceil, and filter words with length less than 5 using <.