Boolean type in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a NumPy boolean array from a list.

NumPy

import numpy as np
arr = np.array([True, False, True], dtype=[1])
print(arr)

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

Afloat

Bint

Cbool

Dstr

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'int' or 'float' as dtype instead of 'bool'.

Forgetting to specify dtype and getting default integer array.

The dtype 'bool' creates a boolean array in NumPy.

2fill in blank

medium

Complete the code to create a boolean mask where values are greater than 5.

NumPy

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

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

A!=

B>

C<

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '==' instead of '>' causing wrong mask.

Using '<' which selects smaller values.

The '>' operator creates a boolean array where elements greater than 5 are True.

3fill in blank

hard

Fix the error in the code to convert an integer array to boolean type.

NumPy

import numpy as np
arr = np.array([0, 1, 2, 0])
bool_arr = arr.astype([1])
print(bool_arr)

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

Abool

Bfloat

Cint

Dstr

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'int' or 'float' in astype which does not convert to boolean.

Using 'str' which converts numbers to strings.

Using astype('bool') converts integers to boolean values where 0 is False and others True.

4fill in blank

hard

Fill both blanks to create a boolean array where elements are True if even and False if odd.

NumPy

import numpy as np
arr = np.array([1, 2, 3, 4, 5])
even_mask = (arr [1] 2) [2] 0
print(even_mask)

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

A%

B==

C!=

D//

Attempts:

3 left

💡 Hint

Common Mistakes

Using '//' instead of '%' for remainder.

Using '!=' instead of '==' causing odd numbers to be True.

The modulo operator '%' finds remainder; comparing with '==' 0 selects even numbers.

5fill in blank

hard

Fill all three blanks to create a dictionary with words as keys and boolean values indicating if length is greater than 3.

NumPy

words = ['cat', 'lion', 'dog', 'tiger']
length_check = {word[1]: len(word) [2] 3 for word in words if word [3] 'dog'}
print(length_check)

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

A.upper()

B>

C!=

D.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

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

Using '<' instead of '>' for length comparison.

Using '==' instead of '!=' to exclude 'dog'.

We use word.upper() as key, check length > 3, and exclude 'dog' with '!='.