Font size guidelines in Matplotlib - Mini Project: Build & Apply

Font size guidelines

📖 Scenario: You are creating a simple bar chart to show sales data for a small store. You want to make sure the text on the chart is easy to read by setting appropriate font sizes for the title, axis labels, and tick labels.

🎯 Goal: Build a bar chart using matplotlib with custom font sizes for the title, x-axis label, y-axis label, and tick labels.

📋 What You'll Learn

Create a list of sales data for 4 products

Set font sizes for the chart title, x-axis label, y-axis label, and tick labels

Use matplotlib.pyplot to plot the bar chart

Display the chart with the specified font sizes

💡 Why This Matters

🌍 Real World

In real life, clear and readable charts help people understand data quickly, such as sales reports or survey results.

💼 Career

Data scientists and analysts often customize chart fonts to make reports and presentations more professional and accessible.

1

Create sales data

Create a list called sales with these exact values: 150, 200, 300, 250.

Matplotlib

# Create a list called sales with the values 150, 200, 300, 250
# Your code here

Need a hint?

Use square brackets [] to create a list and separate values with commas.

2

Set font size variables

Create four variables to set font sizes: title_font_size to 16, x_label_font_size to 12, y_label_font_size to 12, and tick_font_size to 10.

Matplotlib

sales = [150, 200, 300, 250]
# Create font size variables for title, x-axis label, y-axis label, and tick labels
# Your code here

Need a hint?

Assign the numbers directly to the variable names using =.

3

Plot bar chart with font sizes

Import matplotlib.pyplot as plt. Create a list products with 'A', 'B', 'C', 'D'. Use plt.bar() to plot products on x-axis and sales on y-axis. Set the chart title to 'Sales by Product' with font size title_font_size. Set x-axis label to 'Product' with font size x_label_font_size. Set y-axis label to 'Sales' with font size y_label_font_size. Set tick label font size to tick_font_size using plt.xticks() and plt.yticks().

Matplotlib

sales = [150, 200, 300, 250]
title_font_size = 16
x_label_font_size = 12
y_label_font_size = 12
tick_font_size = 10

# Import matplotlib.pyplot as plt
# Create products list
# Plot bar chart with font sizes
# Your code here

Need a hint?

Use fontsize parameter to set font sizes in plt.title(), plt.xlabel(), plt.ylabel(), and plt.xticks(), plt.yticks().

4

Display the chart

Use plt.show() to display the bar chart with the font sizes applied.

Matplotlib

import matplotlib.pyplot as plt

sales = [150, 200, 300, 250]
title_font_size = 16
x_label_font_size = 12
y_label_font_size = 12
tick_font_size = 10

products = ['A', 'B', 'C', 'D']
plt.bar(products, sales)
plt.title('Sales by Product', fontsize=title_font_size)
plt.xlabel('Product', fontsize=x_label_font_size)
plt.ylabel('Sales', fontsize=y_label_font_size)
plt.xticks(fontsize=tick_font_size)
plt.yticks(fontsize=tick_font_size)

# Display the chart
# Your code here

Need a hint?

Call plt.show() to display the plot window.