Style sheets (ggplot, seaborn, dark_background) in Matplotlib - Mini Project: Build & Apply

Using Style Sheets in Matplotlib for Better Plots

📖 Scenario: You are a data analyst preparing visual reports. You want your charts to look nice and clear by using different style themes.

🎯 Goal: Learn how to apply different style sheets like ggplot, seaborn, and dark_background in Matplotlib to change the look of your plots easily.

📋 What You'll Learn

Create a simple dataset with sales numbers for three products.

Set a style sheet variable to choose the plot style.

Plot a bar chart using the chosen style.

Display the plot to see the style effect.

💡 Why This Matters

🌍 Real World

Data analysts and scientists often use style sheets to make their charts look professional and easier to understand.

💼 Career

Knowing how to quickly change plot styles helps you prepare reports and presentations that look polished and clear.

1

Create the sales data dictionary

Create a dictionary called sales with these exact entries: 'Product A': 150, 'Product B': 200, 'Product C': 300.

Matplotlib

# Create the sales dictionary with exact values
# Your code here

Need a hint?

Use curly braces {} to create the dictionary and separate items with commas.

2

Set the style sheet variable

Create a variable called style and set it to the string 'ggplot'.

Matplotlib

sales = {'Product A': 150, 'Product B': 200, 'Product C': 300}
# Set the style variable to 'ggplot'
# Your code here

Need a hint?

Assign the string 'ggplot' to the variable style.

3

Plot the bar chart using the style

Import matplotlib.pyplot as plt. Use plt.style.use(style) to apply the style. Then plot a bar chart with plt.bar using the keys and values from sales.

Matplotlib

sales = {'Product A': 150, 'Product B': 200, 'Product C': 300}
style = 'ggplot'
# Import matplotlib.pyplot as plt
# Apply the style using plt.style.use(style)
# Plot a bar chart with sales keys and values
# Your code here

Need a hint?

Remember to import matplotlib.pyplot as plt before using it.

4

Display the plot

Use plt.show() to display the bar chart with the chosen style.

Matplotlib

import matplotlib.pyplot as plt

sales = {'Product A': 150, 'Product B': 200, 'Product C': 300}
style = 'ggplot'

plt.style.use(style)
plt.bar(sales.keys(), sales.values())
# Display the plot
# Your code here

Need a hint?

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