Figure size and DPI in Matplotlib - Mini Project: Build & Apply

Figure size and DPI

📖 Scenario: You are preparing a simple plot to show sales data for a small shop. You want to control how big the plot looks and how clear it is by setting the figure size and DPI (dots per inch).

🎯 Goal: Create a matplotlib plot with a specific figure size and DPI, then display it.

📋 What You'll Learn

Create a figure with size 6 inches wide and 4 inches tall

Set the DPI of the figure to 100

Plot a simple line graph of sales data

Display the plot

💡 Why This Matters

🌍 Real World

Setting figure size and DPI helps make charts clear and well-sized for reports, presentations, or websites.

💼 Career

Data scientists and analysts often adjust figure size and DPI to create professional and readable visualizations.

1

Create sales data

Create a list called sales with these exact values: [10, 15, 7, 12, 20].

Matplotlib

# Create a list called sales with the values [10, 15, 7, 12, 20]
sales = []  # Your code here

Need a hint?

Use square brackets to create a list and separate numbers with commas.

2

Set figure size and DPI

Import matplotlib.pyplot as plt. Then create a figure with size 6 by 4 inches and DPI 100 using plt.figure(figsize=(6, 4), dpi=100) and save it in a variable called fig.

Matplotlib

sales = [10, 15, 7, 12, 20]
# Import matplotlib.pyplot as plt and create a figure with size (6, 4) and dpi 100
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt to import. Then use plt.figure() with figsize and dpi arguments.

3

Plot the sales data

Use plt.plot(sales) to create a line plot of the sales list.

Matplotlib

import matplotlib.pyplot as plt

sales = [10, 15, 7, 12, 20]

fig = plt.figure(figsize=(6, 4), dpi=100)
# Plot the sales data using plt.plot
# Your code here

Need a hint?

Use plt.plot() and pass the sales list as argument.

4

Display the plot

Use plt.show() to display the plot on the screen.

Matplotlib

import matplotlib.pyplot as plt

sales = [10, 15, 7, 12, 20]

fig = plt.figure(figsize=(6, 4), dpi=100)

plt.plot(sales)
# Display the plot using plt.show()
# Your code here

Need a hint?

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