Combining conditions in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a mask selecting values greater than 5.

NumPy

import numpy as np
arr = np.array([2, 7, 4, 10, 3])
mask = arr [1] 5

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

A<

B>

C<=

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' instead of '>' which selects smaller values.

Using '==' which selects only values equal to 5.

The operator > selects values greater than 5.

2fill in blank

medium

Complete the code to select values greater than 3 and less than 8 using logical AND.

NumPy

import numpy as np
arr = np.array([2, 7, 4, 10, 3])
mask = (arr > 3) [1] (arr < 8)

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

A^

B|

C&

D~

Attempts:

3 left

💡 Hint

Common Mistakes

Using '|' which means OR instead of AND.

Using '^' which means XOR and gives wrong results.

The operator & is used for element-wise logical AND in NumPy arrays.

3fill in blank

hard

Fix the error in combining conditions with parentheses.

NumPy

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

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

A&

Band

C|

Dor

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'and' which causes a ValueError in NumPy arrays.

Forgetting parentheses around each condition.

Use & with parentheses for element-wise logical AND in NumPy arrays. Python keywords 'and'/'or' do not work element-wise.

4fill in blank

hard

Fill both blanks to create a mask selecting values less than 4 or greater than 7.

NumPy

import numpy as np
arr = np.array([2, 5, 3, 9, 7])
mask = (arr [1] 4) [2] (arr > 7)

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

A<

B>

C|

D&

Attempts:

3 left

💡 Hint

Common Mistakes

Using '&' instead of '|' which selects values satisfying both conditions.

Using '>' in the first blank which selects wrong values.

Use < to select values less than 4 and | for logical OR to combine conditions.

5fill in blank

hard

Fill all three blanks to create a dictionary of words and their lengths for words longer than 3 letters and containing 'a'.

NumPy

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

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

Aword

Blen(word)

C>

Dword.upper()

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'word.upper()' as key changes the word unnecessarily.

Using '<' instead of '>' in the length condition.

The dictionary keys are the words themselves (word), values are their lengths (len(word)), and the condition checks if length is greater than 3 (>).