Broadcasting compatibility check in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to check if two arrays can be broadcast together using numpy.

NumPy

import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([[1], [2], [3]])
can_broadcast = np.[1](arr1, arr2)
print(can_broadcast.shape)

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

Abroadcast_arrays

Bbroadcast

Cshape

Dbroadcast_shapes

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.broadcast_arrays instead of np.broadcast.

Trying to use np.shape to check broadcasting.

The function np.broadcast(arr1, arr2) returns a broadcast object if the arrays can be broadcast together.

2fill in blank

medium

Complete the code to get the broadcasted shape of two arrays using numpy.

NumPy

import numpy as np
shape = np.[1]((3, 1), (1, 4))
print(shape)

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Abroadcast_shapes

Bbroadcast_arrays

Cbroadcast

Dshape

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.broadcast instead of np.broadcast_shapes.

Trying to broadcast actual arrays instead of shapes.

np.broadcast_shapes returns the shape tuple resulting from broadcasting the input shapes.

3fill in blank

hard

Fix the error in the code to check if arrays of shapes (2,3) and (3,) can be broadcast together.

NumPy

import numpy as np
arr1 = np.zeros((2, 3))
arr2 = np.zeros((3,))
can_broadcast = np.broadcast(arr1, [1])
print(can_broadcast.shape)

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Aarr1

B(3,)

C(3, 2)

Darr2

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the same array twice to np.broadcast.

Passing shape tuples instead of arrays.

To check broadcasting compatibility, both arrays must be passed to np.broadcast. Here arr2 is the second array.

4fill in blank

hard

Fill both blanks to create a dictionary of word lengths only for words longer than 4 characters.

NumPy

words = ['apple', 'bat', 'carrot', 'dog', 'elephant']
lengths = {word: [1] for word in words if len(word) [2] 4}

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as the dictionary value.

Using '<' instead of '>' in the condition.

We want the length of each word (len(word)) and filter words longer than 4 (len(word) > 4).

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 = ['sun', 'moon', 'star', 'sky']
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 original words as keys instead of uppercase.

Using '<' instead of '>' in the condition.

The keys are uppercase words (w.upper()), values are lengths (len(w)), and filter words longer than 3 (len(w) > 3).