Comparison operations in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a boolean array where elements of arr are greater than 5.

NumPy

import numpy as np
arr = np.array([3, 7, 2, 9, 5])
result = arr [1] 5
print(result)

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

A<

B==

C>

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' instead of '>' which checks for smaller values.

Using '==' which checks for equality, not greater than.

The '>' operator compares each element of the array to 5, returning True where the element is greater than 5.

2fill in blank

medium

Complete the code to find elements in arr that are equal to 10.

NumPy

import numpy as np
arr = np.array([10, 15, 10, 20, 25])
mask = arr [1] 10
print(mask)

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

A>

B!=

C<

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '!=' which checks for inequality.

Using '>' or '<' which check for greater or smaller values.

The '==' operator checks element-wise equality with 10, returning True where elements equal 10.

3fill in blank

hard

Fix the error in the code to correctly create a mask for elements less than or equal to 7.

NumPy

import numpy as np
arr = np.array([5, 8, 7, 10, 3])
mask = arr [1] 7
print(mask)

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

A<

B<=

C=>

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '=>' which is not a valid Python operator.

Using '<' which excludes equality.

The correct operator for 'less than or equal to' is '<=', not '=>'.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths only if the length is greater than 3.

NumPy

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

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Alen(word)

Blen(word) > 3

Clen(word) < 3

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

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

Using the wrong condition like length less than 3.

We map each word to its length using len(word), and filter words where length is greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their lengths only if length is less than 5.

NumPy

words = ['tree', 'sun', 'flower', 'sky']
result = { [1]: [2] for w in words if [3] }
print(result)

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Aw.upper()

Blen(w)

Clen(w) < 5

Dw.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using w.lower() instead of w.upper() for keys.

Using wrong condition like length greater than 5.

Using the word itself as value instead of length.

We use w.upper() as the key, len(w) as the value, and filter words with length less than 5.