Inline display in Jupyter notebooks in Matplotlib - Step-by-Step Execution

Concept Flow - Inline display in Jupyter notebooks

Start Jupyter Notebook

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Import matplotlib.pyplot

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Set inline display with %matplotlib inline

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Create plot commands

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Plot renders directly below cell

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Continue with next cells

This flow shows how setting %matplotlib inline in a Jupyter notebook makes plots appear directly below the code cell that creates them.

Execution Sample

Matplotlib

import matplotlib.pyplot as plt
%matplotlib inline
plt.plot([1, 2, 3], [4, 5, 6])
plt.title('Simple Line Plot')
plt.show()

This code imports matplotlib, sets inline plotting, creates a simple line plot, and displays it inside the notebook.

Execution Table

Step	Action	Evaluation	Result
1	Import matplotlib.pyplot as plt	Module imported	plt available
2	Run %matplotlib inline	Set backend	Plots display inline
3	Call plt.plot([1,2,3],[4,5,6])	Create line plot data	Plot object created
4	Call plt.title('Simple Line Plot')	Set plot title	Title set
5	Call plt.show()	Render plot	Plot appears below cell
6	End of cell execution	No errors	Ready for next cell

💡 Plot displayed inline, cell execution completes normally

Variable Tracker

Variable	Start	After Step 3	After Step 4	After Step 5	Final
plt	module not loaded	module loaded	module loaded	module loaded	module loaded
plot object	none	created	created	rendered	rendered
title	none	none	set to 'Simple Line Plot'	set	set

Key Moments - 2 Insights

Why do we use %matplotlib inline in a Jupyter notebook?

Using %matplotlib inline sets the plotting backend so that plots appear directly below the code cell, as shown in execution_table step 2 and step 5.

What happens if we omit plt.show() in a Jupyter notebook with %matplotlib inline?

Even without plt.show(), the plot usually displays inline because of %matplotlib inline, but plt.show() ensures the plot renders immediately, as seen in step 5.

Visual Quiz - 3 Questions

Look at the execution table, what is the result of step 2?

A Plots will display inline in the notebook

B Plot object is created

C Plot title is set

D Module matplotlib is imported

💡 Hint

Check the 'Result' column for step 2 in the execution_table

At which step does the plot actually appear below the code cell?

A Step 3

B Step 5

C Step 4

D Step 6

💡 Hint

Look at the 'Action' and 'Result' columns in execution_table for when plt.show() is called

If we remove %matplotlib inline, what likely changes in the execution?

A plt.show() will not work

B Plots will still display inline automatically

C Plots may open in a separate window instead of inline

D Module matplotlib will not import

💡 Hint

Consider the role of %matplotlib inline in setting the display backend (see step 2)

Concept Snapshot

In Jupyter notebooks:
- Use %matplotlib inline to show plots inside the notebook
- Import matplotlib.pyplot as plt
- Create plots with plt.plot() and other commands
- Use plt.show() to display the plot immediately
- Plots appear below the code cell automatically

Full Transcript

This visual execution trace shows how to display matplotlib plots inline in Jupyter notebooks. First, import matplotlib.pyplot as plt. Then run the magic command %matplotlib inline to set the backend so plots appear inside the notebook. Next, create a plot with plt.plot() and set a title with plt.title(). Finally, call plt.show() to render the plot below the code cell. The execution table tracks each step and the variable tracker shows how plot objects and titles change. Key moments clarify why %matplotlib inline is needed and the role of plt.show(). The quiz tests understanding of when and how plots display inline.