np.abs() for absolute values in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the absolute values of the array elements.

NumPy

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

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

Aabs

Babsval

Cabsolute

Dabs_values

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'absval' or 'abs_values' which do not exist.

The function np.abs() returns the absolute values of each element in the array.

2fill in blank

medium

Complete the code to find the absolute values of a 2D numpy array.

NumPy

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

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

Aabsval

Babs

Cabs_values

Dabsolute

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to use 'absval' or 'abs_values' which are not valid numpy functions.

np.abs() works for arrays of any shape, returning the absolute values element-wise.

3fill in blank

hard

Fix the error in the code to correctly compute absolute values of the array.

NumPy

import numpy as np
arr = np.array([-5, 6, -7])
abs_values = np.[1](arr)
print(abs_values)

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

Aabsolute

Babsval

Cabs_values

Dabs

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'absval' or 'abs_values' which are not numpy functions.

The correct numpy function to get absolute values is np.abs().

4fill in blank

hard

Fill both blanks to create a dictionary of words and their absolute length if length is greater than 3.

NumPy

words = ['data', 'ai', 'science', 'ml']
lengths = {word: [1] for word in words if [2] > 3}
print(lengths)

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Alen(word)

Bword

Attempts:

3 left

💡 Hint

Common Mistakes

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

Not filtering words by length correctly.

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

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase keys and absolute length values for words longer than 2.

NumPy

import numpy as np
words = ['data', 'ai', 'science', 'ml']
result = { [1]: np.[2](len([3])) for word in words if len(word) > 2}
print(result)

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

Aword.upper()

Babsolute

Cword

Dabs

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'word' instead of 'word.upper()' for keys.

The dictionary comprehension uses uppercase words as keys, and absolute values of their lengths as values.