Broadcasting errors and debugging in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a NumPy array of shape (3, 1).

NumPy

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

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A.shape

B.reshape(3, 1)

C.size

D.ndim

Attempts:

3 left

💡 Hint

Common Mistakes

Using .size returns total elements, not shape.

Using .ndim returns number of dimensions, not shape.

The .shape attribute shows the dimensions of the array. Here, it will print (3, 1).

2fill in blank

medium

Complete the code to add a 1D array to a 2D array using broadcasting.

NumPy

import numpy as np
A = np.array([[1, 2, 3], [4, 5, 6]])
B = np.array([10, 20, 30])
result = A [1] B
print(result)

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A*

B/

C-

D+

Attempts:

3 left

💡 Hint

Common Mistakes

Using * multiplies instead of adds.

Using / causes division, not addition.

The + operator adds arrays element-wise. Broadcasting allows adding a 1D array to each row of a 2D array.

3fill in blank

hard

Fix the error in the code that tries to add arrays with incompatible shapes.

NumPy

import numpy as np
A = np.array([[1, 2, 3], [4, 5, 6]])
B = np.array([10, 20])
result = A + B.[1](2, 1)
print(result)

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Areshape

Bresize

Cflatten

Dravel

Attempts:

3 left

💡 Hint

Common Mistakes

flatten or ravel make B 1D, which is still incompatible.

resize modifies in place and repeats elements if necessary, not suitable here.

To fix the shape mismatch error, use B.reshape(2, 1) to make B shape (2, 1) which broadcasts correctly when added to A (2, 3).

4fill in blank

hard

Fill both blanks to create a dictionary of word lengths for words longer than 3 characters.

NumPy

words = ['apple', 'bat', 'carrot', 'dog']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself instead of its length.

Using less than < instead of greater than >.

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

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase words and their lengths for words longer than 3 characters.

NumPy

words = ['apple', 'bat', 'carrot', 'dog']
[1] = {word.[2](): [3] for word in words if len(word) > 3}
print([1])

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Aresult

Bupper

Clen(word)

Dlower

Attempts:

3 left

💡 Hint

Common Mistakes

Using lower() instead of upper().

Not assigning the dictionary to a variable.

Using the word itself instead of its length for values.

The code creates a dictionary named result. It uses word.upper() for keys and len(word) for values, filtering words longer than 3 characters.