Single element access in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to access the element at row 1, column 2 in the numpy array.

NumPy

import numpy as np
arr = np.array([[1, 2, 3], [4, 5, 6]])
element = arr[1]

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

A1, 2

B[1, 2]

C[1][2]

D(1, 2)

Attempts:

3 left

💡 Hint

Common Mistakes

Using parentheses instead of square brackets.

Using one index instead of two.

Using one-based indexing.

The element at row 1, column 2 is accessed using arr[1, 2].

2fill in blank

medium

Complete the code to get the element at the first row and last column of the array.

NumPy

import numpy as np
arr = np.array([[7, 8, 9], [10, 11, 12]])
element = arr[1]

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

A[0, -1]

B[1, -1]

C[0, 2]

D[1, 2]

Attempts:

3 left

💡 Hint

Common Mistakes

Using 1 instead of 0 for the first row.

Using positive index for last column without knowing the size.

Using parentheses instead of square brackets.

The first row is index 0 and the last column can be accessed with index -1.

3fill in blank

hard

Fix the error in the code to correctly access the element at row 2, column 0.

NumPy

import numpy as np
arr = np.array([[1, 2], [3, 4], [5, 6]])
element = arr[1]

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

A[3, 0]

B(2, 0)

C[2, 0]

D[2][0]

Attempts:

3 left

💡 Hint

Common Mistakes

Using parentheses instead of square brackets.

Using an index out of range like 3.

Using chained indexing like arr[2][0] which works but is less efficient.

Use square brackets with two indices separated by a comma: arr[2, 0].

4fill in blank

hard

Fill both blanks to create a dictionary with words as keys and their lengths as values, but only for words longer than 3 letters.

NumPy

words = ['apple', 'bat', 'carrot', 'dog']
lengths = {word: [1] for word in words if [2]

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Alen(word)

Blen(word) > 3

Cword > 3

Dword.length > 3

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself in the condition instead of its length.

Using incorrect syntax for length check.

Not using len() function.

Use len(word) to get the length and filter words with length greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys and their lengths as values, only for words longer than 4 letters.

NumPy

words = ['tree', 'house', 'car', 'elephant']
result = { [1]: [2] for word in words if [3] }

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

Aword.upper()

Blen(word)

Clen(word) > 4

Dword.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using lower() instead of upper().

Not filtering words by length.

Using word instead of len(word) for length check.

Use word.upper() as key, len(word) as value, and filter words with length greater than 4.