Sorting along axes in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to sort the 1D numpy array in ascending order.

NumPy

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

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A[3, 1, 4, 2]

Barr

Cnp.array

Dsorted_arr

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the sorted array variable itself instead of the original array.

Passing the numpy module instead of the array.

The np.sort() function sorts the array passed to it. Here, arr is the array to sort.

2fill in blank

medium

Complete the code to sort the 2D numpy array along axis 0 (columns).

NumPy

import numpy as np
arr = np.array([[3, 2], [1, 4]])
sorted_arr = np.sort(arr, axis=[1])
print(sorted_arr)

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A-1

B2

C1

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using axis=1 which sorts rows instead of columns.

Using axis=2 which is invalid for 2D arrays.

Sorting along axis 0 means sorting each column. So, axis=0 is correct.

3fill in blank

hard

Fix the error in the code to sort the 2D array along axis 1 (rows).

NumPy

import numpy as np
arr = np.array([[5, 3], [2, 4]])
sorted_arr = np.sort(arr, axis=[1])
print(sorted_arr)

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A1

B0

C-1

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Using axis=0 which sorts columns instead of rows.

Using axis=2 which is invalid for 2D arrays.

Axis 1 sorts each row independently in a 2D array.

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 = { [1] : [2] for word in words if len(word) > 3 }
print(lengths)

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Aword

Blen(word)

Cword.upper()

Dword.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using word.upper() or word.lower() as keys instead of the original word.

Using the word itself as value instead of its length.

The dictionary keys are the words themselves, and the values are their lengths using len(word).

5fill in blank

hard

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

NumPy

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

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Aword.upper()

Blen(word)

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong comparison operator in the condition.

Using the word itself instead of uppercase for keys.

Keys are uppercase words using word.upper(), values are lengths, and the condition filters words longer than 3 letters with >.