Font properties customization in Matplotlib - Mini Project: Build & Apply

Font properties customization

📖 Scenario: Imagine you are creating a simple chart to show sales data for a small shop. You want to make the chart easy to read by changing the font style and size of the title and labels.

🎯 Goal: You will create a bar chart and customize the font properties of the title and axis labels using matplotlib.

📋 What You'll Learn

Create a bar chart with sales data

Customize the font size and font family of the chart title

Customize the font size and font style of the x-axis and y-axis labels

Display the chart with the customized fonts

💡 Why This Matters

🌍 Real World

Customizing font properties helps make charts clearer and more attractive for reports and presentations.

💼 Career

Data scientists and analysts often need to create visualizations that communicate data effectively, including styling text for readability.

1

Create sales data dictionary

Create a dictionary called sales with these exact entries: 'Apples': 30, 'Bananas': 45, 'Cherries': 15, 'Dates': 10.

Matplotlib

# Create the sales dictionary with fruit names and their sales numbers
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys as fruit names and values as sales numbers.

2

Set font properties for title and labels

Create two variables: title_font as a dictionary with 'fontsize' set to 16 and 'fontfamily' set to 'serif', and label_font as a dictionary with 'fontsize' set to 12 and 'fontstyle' set to 'italic'.

Matplotlib

sales = {'Apples': 30, 'Bananas': 45, 'Cherries': 15, 'Dates': 10}
# Create title_font and label_font dictionaries with font properties
# Your code here

Need a hint?

Use dictionaries to store font properties like fontsize, fontfamily, and fontstyle.

3

Create bar chart with customized fonts

Import matplotlib.pyplot as plt. Use plt.bar() to create a bar chart from sales.keys() and sales.values(). Use plt.title() with text 'Fruit Sales' and font properties from title_font. Use plt.xlabel() with text 'Fruit' and font properties from label_font. Use plt.ylabel() with text 'Quantity' and font properties from label_font.

Matplotlib

sales = {'Apples': 30, 'Bananas': 45, 'Cherries': 15, 'Dates': 10}
title_font = {'fontsize': 16, 'fontfamily': 'serif'}
label_font = {'fontsize': 12, 'fontstyle': 'italic'}
# Import matplotlib.pyplot as plt
# Create bar chart and set title and labels with font properties
# Your code here

Need a hint?

Use fontdict parameter in plt.title(), plt.xlabel(), and plt.ylabel() to apply font properties.

4

Display the chart

Use plt.show() to display the bar chart with the customized font properties.

Matplotlib

import matplotlib.pyplot as plt

sales = {'Apples': 30, 'Bananas': 45, 'Cherries': 15, 'Dates': 10}
title_font = {'fontsize': 16, 'fontfamily': 'serif'}
label_font = {'fontsize': 12, 'fontstyle': 'italic'}

plt.bar(sales.keys(), sales.values())
plt.title('Fruit Sales', fontdict=title_font)
plt.xlabel('Fruit', fontdict=label_font)
plt.ylabel('Quantity', fontdict=label_font)
# Display the plot
# Your code here

Need a hint?

Call plt.show() to open a window showing the chart.