DPI settings for resolution in Matplotlib - Mini Project: Build & Apply

DPI Settings for Resolution in Matplotlib

📖 Scenario: You want to create a simple plot and control its resolution by setting the DPI (dots per inch). This is useful when you save images for presentations or reports to make sure they look sharp.

🎯 Goal: Learn how to create a plot with Matplotlib and set the DPI to control the image resolution.

📋 What You'll Learn

Create a simple line plot using Matplotlib

Set a variable for DPI value

Use the DPI setting when creating the figure

Display the plot

💡 Why This Matters

🌍 Real World

Setting DPI is important when creating images for reports, presentations, or publications to ensure they look clear and professional.

💼 Career

Data scientists and analysts often need to create high-quality visualizations for sharing insights with others.

1

Create a simple line plot data

Create two lists called x and y with these exact values: x = [1, 2, 3, 4, 5] and y = [2, 3, 5, 7, 11].

Matplotlib

# Create lists x and y with the given values
# Your code here

Need a hint?

Use square brackets to create lists and separate numbers with commas.

2

Set the DPI value

Create a variable called dpi_value and set it to 150.

Matplotlib

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]
# Create dpi_value variable and set it to 150
# Your code here

Need a hint?

Use a simple assignment to create the variable.

3

Create the plot with DPI setting

Import matplotlib.pyplot as plt. Then create a figure using plt.figure() with the dpi parameter set to dpi_value. Plot x and y using plt.plot().

Matplotlib

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]
dpi_value = 150
# Import matplotlib.pyplot as plt
# Create figure with dpi=dpi_value
# Plot x and y
# Your code here

Need a hint?

Use plt.figure(dpi=dpi_value) to set the resolution before plotting.

4

Display the plot

Use plt.show() to display the plot with the DPI setting.

Matplotlib

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]
dpi_value = 150

plt.figure(dpi=dpi_value)
plt.plot(x, y)
# Display the plot
# Your code here

Need a hint?

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