np.mean() for average in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the average of the list using numpy.

NumPy

import numpy as np
numbers = [10, 20, 30, 40, 50]
average = np.[1](numbers)
print(average)

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

Amedian

Bsum

Cmean

Dmax

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.sum() instead of np.mean() which sums the numbers instead of averaging.

Using np.max() which finds the largest number, not the average.

The np.mean() function calculates the average (mean) of the numbers in the list.

2fill in blank

medium

Complete the code to calculate the average of the numpy array.

NumPy

import numpy as np
arr = np.array([5, 15, 25, 35, 45])
avg = np.[1](arr)
print(avg)

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

Amean

Bsum

Cmin

Dstd

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.sum() which adds all elements instead of averaging.

Using np.min() which finds the smallest element.

np.mean() calculates the average value of the elements in the numpy array.

3fill in blank

hard

Fix the error in the code to correctly calculate the average of the list.

NumPy

import numpy as np
values = [2, 4, 6, 8, 10]
average = np.[1](values)
print(average)

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

Amean

Baverage

Cavg

Dmedian

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'average' or 'avg' which are not numpy functions.

Using 'median' which calculates the middle value, not the average.

The correct numpy function to calculate average is np.mean(). Other options are not valid numpy functions.

4fill in blank

hard

Fill both blanks to create a dictionary with words as keys and their lengths as values, but only include words longer than 3 letters.

NumPy

words = ['cat', 'house', 'dog', 'elephant']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

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Alen(word)

Bword

C>

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as the value instead of its length.

Using '<=' instead of '>' which includes shorter words.

The dictionary comprehension uses len(word) to get the length of each word and includes only words where length is greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys and their lengths as values, including only words longer than 4 letters.

NumPy

words = ['apple', 'bat', 'carrot', 'dog']
result = { [1]: [2] for w in words if len(w) [3] 4 }
print(result)

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

Aw.upper()

Blen(w)

C>

Dw

Attempts:

3 left

💡 Hint

Common Mistakes

Using the original word instead of uppercase for keys.

Using '<' or '<=' instead of '>' which changes the filter condition.

The dictionary comprehension uses w.upper() as keys, len(w) as values, and filters words with length greater than 4.