Inline display in Jupyter notebooks in Matplotlib - Mini Project: Build & Apply

Inline display in Jupyter notebooks

📖 Scenario: You are working with data visualization in a Jupyter notebook. You want to see your plots directly inside the notebook without opening a separate window. This helps you quickly understand your data by looking at charts right where you write your code.

🎯 Goal: Learn how to set up inline display for matplotlib plots in Jupyter notebooks and create a simple line plot that appears inside the notebook.

📋 What You'll Learn

Use the magic command to enable inline plotting in Jupyter notebooks

Import matplotlib.pyplot as plt

Create a simple line plot with given data

Display the plot inline inside the notebook

💡 Why This Matters

🌍 Real World

Data scientists and analysts often use Jupyter notebooks to explore data and create visualizations inline for quick insights.

💼 Career

Knowing how to display plots inline is essential for data analysis, reporting, and sharing results clearly with others.

1

Enable inline plotting in Jupyter notebooks

Write the magic command %matplotlib inline at the top of your notebook to enable inline display of plots.

Matplotlib

# Write the magic command to enable inline plotting
# Your code here

Need a hint?

This magic command tells Jupyter to show matplotlib plots inside the notebook cells.

2

Import matplotlib.pyplot as plt

Import the matplotlib.pyplot module as plt to prepare for plotting.

Matplotlib

%matplotlib inline
# Import matplotlib.pyplot as plt
# Your code here

Need a hint?

This import is standard for plotting with matplotlib.

3

Create a simple line plot

Create a list called x with values [1, 2, 3, 4, 5] and a list called y with values [2, 3, 5, 7, 11]. Then use plt.plot(x, y) to create a line plot.

Matplotlib

%matplotlib inline
import matplotlib.pyplot as plt
# Create lists x and y with given values
# Use plt.plot(x, y) to create the plot
# Your code here

Need a hint?

Lists hold your data points. plt.plot() draws the line connecting them.

4

Display the plot inline

Add plt.show() after plt.plot(x, y) to display the plot inline inside the notebook.

Matplotlib

%matplotlib inline
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]
plt.plot(x, y)
# Add plt.show() to display the plot
# Your code here

Need a hint?

plt.show() tells matplotlib to display the plot. In Jupyter, this shows the plot right below the code cell.