transpose() for swapping axes in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to transpose the 2D array using numpy.

NumPy

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

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Atranspose

Bswapaxes

Creshape

Dflatten

Attempts:

3 left

💡 Hint

Common Mistakes

Using reshape instead of transpose changes the shape but not the axes.

Using flatten converts the array to 1D, not transposing it.

The transpose() method swaps the axes of the array, turning rows into columns.

2fill in blank

medium

Complete the code to transpose a 3D numpy array by swapping the first and second axes.

NumPy

import numpy as np
arr = np.random.rand(2, 3, 4)
transposed = arr.transpose([1])

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A(0, 1, 2)

B(1, 0, 2)

C(2, 1, 0)

D(0, 2, 1)

Attempts:

3 left

💡 Hint

Common Mistakes

Using (0, 1, 2) does not change axes order.

Using (2, 1, 0) reverses all axes, not just the first two.

To swap the first and second axes, use transpose((1, 0, 2)).

3fill in blank

hard

Fix the error in the code to correctly transpose the 2D numpy array.

NumPy

import numpy as np
arr = np.array([[5, 6], [7, 8]])
transposed = arr.[1]

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Atranspose

Btranspose{}

Ctranspose[]

Dtranspose()

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting parentheses causes no transposition.

Using brackets or braces instead of parentheses causes syntax errors.

The transpose method must be called with parentheses () to execute it.

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 characters.

NumPy

words = ['data', 'is', 'fun', 'and', 'cool']
lengths = {word: [1] for word in words if len(word) [2] 3}

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using < instead of > filters out the wrong words.

Using word instead of len(word) stores the word, not its length.

The dictionary comprehension uses len(word) for values and filters words with length greater than 3 using >.

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 3 characters.

NumPy

words = ['data', 'is', 'fun', 'and', 'cool']
result = [1]: [2] for w in words if len(w) [3] 3}}

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Aw.upper()

Blen(w)

C>

Dw

Attempts:

3 left

💡 Hint

Common Mistakes

Using w instead of w.upper() stores lowercase keys.

Using < instead of > filters the wrong words.

The dictionary comprehension uses w.upper() as keys, len(w) as values, and filters words with length greater than 3 using >.