np.arange() for range arrays in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a NumPy array from 0 to 4 using np.arange().

NumPy

import numpy as np
arr = np.arange([1])
print(arr)

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

A5

B10

C6

D4

Attempts:

3 left

💡 Hint

Common Mistakes

Using 4 instead of 5 will create array up to 3 only.

Confusing np.arange() with range() which behaves similarly but returns a list.

np.arange(5) creates an array starting at 0 up to but not including 5, so it includes 0,1,2,3,4.

2fill in blank

medium

Complete the code to create a NumPy array from 2 to 6 (excluding 6) using np.arange().

NumPy

import numpy as np
arr = np.arange([1], 6)
print(arr)

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

A0

B2

C1

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Using 0 or 1 as start will include unwanted numbers.

Forgetting that the stop value is excluded.

np.arange(2, 6) creates an array starting at 2 up to but not including 6, so it includes 2,3,4,5.

3fill in blank

hard

Fix the error in the code to create an array from 1 to 10 with step 2 using np.arange().

NumPy

import numpy as np
arr = np.arange(1, 10, [1])
print(arr)

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

A3

B1

C2

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using step 0 causes an error.

Using step 1 gives all numbers, not skipping.

The step argument controls the gap between numbers. Step 2 means numbers increase by 2 each time.

4fill in blank

hard

Fill both blanks to create an array from 10 down to 2 (excluding 2) with step -2 using np.arange().

NumPy

import numpy as np
arr = np.arange([1], [2], -2)
print(arr)

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

A10

B2

C1

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using stop greater than start with negative step results in empty array.

Confusing stop value inclusion.

To count down from 10 to 2 (excluding 2) with step -2, start=10 and stop=2.

5fill in blank

hard

Fill all three blanks to create a NumPy array of even numbers from 0 to 8 using np.arange().

NumPy

import numpy as np
arr = np.arange([1], [2], [3])
print(arr)

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

A0

B10

C2

D8

Attempts:

3 left

💡 Hint

Common Mistakes

Using stop as 8 excludes 8 itself.

Using step 1 gives all numbers, not just even.

Start at 0, stop before 10, step by 2 to get even numbers 0,2,4,6,8.