Why bar charts compare categories in Matplotlib - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a bar chart showing sales for each fruit category.

Matplotlib

import matplotlib.pyplot as plt
categories = ['Apples', 'Bananas', 'Cherries']
sales = [10, 15, 7]
plt.bar([1], sales)
plt.show()

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

Acategories

Bsales

Crange(len(sales))

D'Apples'

Attempts:

3 left

💡 Hint

Common Mistakes

Using sales instead of categories for x-axis

Using a single string instead of a list for x-axis

We use the list of category names on the x-axis to compare their sales visually.

2fill in blank

medium

Complete the code to add labels to the x-axis showing category names.

Matplotlib

plt.bar(categories, sales)
plt.xlabel([1])
plt.show()

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

A'Fruit Type'

Bsales

Ccategories

D'Sales'

Attempts:

3 left

💡 Hint

Common Mistakes

Using the data list instead of a label string

Leaving the label blank

The x-axis label should describe what the categories represent, like 'Fruit Type'.

3fill in blank

hard

Fix the error in the code to correctly display the bar chart comparing categories.

Matplotlib

plt.bar(categories, [1])
plt.xticks(rotation=45)
plt.show()

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

A['10', '15', '7']

Bcategories

Csales

Drange(len(categories))

Attempts:

3 left

💡 Hint

Common Mistakes

Using categories instead of sales for bar heights

Using string versions of numbers instead of integers

The heights of the bars must be the sales numbers, not the category names.

4fill in blank

hard

Fill both blanks to create a bar chart with category names and sales, and add a title.

Matplotlib

plt.bar([1], [2])
plt.title('Sales by [3]')
plt.show()

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

Acategories

Bsales

CFruit Type

DApples

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping categories and sales

Using a category name instead of a descriptive title

Use categories for x-axis, sales for bar heights, and a descriptive title.

5fill in blank

hard

Fill all three blanks to create a bar chart comparing categories with labels and rotated x-axis labels.

Matplotlib

plt.bar([1], [2])
plt.xlabel('[3]')
plt.xticks(rotation=90)
plt.show()

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

Acategories

Bsales

CFruit Type

DSales

Attempts:

3 left

💡 Hint

Common Mistakes

Labeling x-axis as 'Sales' instead of 'Fruit Type'

Swapping categories and sales in the bar function

Use categories on x-axis, sales as bar heights, and label the x-axis as 'Fruit Type'.