Scalar and array broadcasting in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add a scalar value 5 to each element of the array.

NumPy

import numpy as np
arr = np.array([1, 2, 3])
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 multiplication instead of addition.

Using division or subtraction which changes values differently.

The plus sign + adds the scalar 5 to each element of the array using broadcasting.

2fill in blank

medium

Complete the code to multiply each element of the array by 10 using broadcasting.

NumPy

import numpy as np
arr = np.array([4, 5, 6])
result = arr [1] 10
print(result)

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

A//

B+

C-

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using addition instead of multiplication.

Using floor division which truncates the result.

The multiplication operator * multiplies each element by 10 using broadcasting.

3fill in blank

hard

Fix the error in the code to subtract 3 from each element of the array using broadcasting.

NumPy

import numpy as np
arr = np.array([7, 8, 9])
result = arr [1] 3
print(result)

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

A-

B+

C*

D/

Attempts:

3 left

💡 Hint

Common Mistakes

Using addition instead of subtraction.

Using multiplication or division which changes values differently.

The subtraction operator - subtracts 3 from each element using broadcasting.

4fill in blank

hard

Fill both blanks to create a new array where each element is the original element divided by 2 and then added to 4.

NumPy

import numpy as np
arr = np.array([2, 4, 6])
result = (arr [1] 2) [2] 4
print(result)

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

A/

B+

C*

D-

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up addition and subtraction operators.

Forgetting parentheses causing wrong order of operations.

First, divide each element by 2 using /, then add 4 using + with broadcasting.

5fill in blank

hard

Fill all three blanks to create a dictionary where keys are the original array elements squared, values are the elements multiplied by 3, but only include elements greater than 2.

NumPy

import numpy as np
arr = np.array([1, 2, 3, 4])
result = { [1]: [2] for x in arr if x [3] 2 }
print(result)

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

Ax**2

Bx*3

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using less than instead of greater than in the condition.

Mixing up keys and values in the dictionary comprehension.

The dictionary comprehension uses x**2 as keys, x*3 as values, and includes only elements where x > 2.