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

Concept Flow - Inline display in Jupyter notebooks

Start Jupyter Notebook

↓

Import matplotlib.pyplot

↓

Set inline display with %matplotlib inline

↓

Create plot commands

↓

Plot renders directly below cell

↓

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.

Practice

1. What does the command %matplotlib inline do in a Jupyter notebook?

easy

A. It displays matplotlib plots directly inside the notebook cells.

B. It saves matplotlib plots as image files on disk.

C. It disables matplotlib plotting in the notebook.

D. It opens matplotlib plots in a new external window.

Solution

1. Step 1: Understand the purpose of %matplotlib inline

   This magic command tells Jupyter to show plots inside the notebook cells instead of separate windows.

2. Step 2: Compare options with this behavior

   Only It displays matplotlib plots directly inside the notebook cells. matches this behavior; others describe saving, disabling, or external windows.

3. Final Answer:

   It displays matplotlib plots directly inside the notebook cells. -> Option A

4. Quick Check:

   Inline plotting = display inside notebook [OK]

Hint: Inline means plots show inside notebook cells [OK]

Common Mistakes:

• Thinking it saves plots to files
• Confusing inline with external window display
• Believing it disables plotting

2. Which of the following is the correct way to enable inline plotting in a Jupyter notebook?

easy

A. %matplotlib inline

B. matplotlib.inline()

C. plt.inline()

D. import matplotlib inline

Solution

1. Step 1: Recall the magic command syntax

   The correct syntax to enable inline plotting is the magic command starting with % followed by matplotlib inline.

2. Step 2: Check each option

   Only %matplotlib inline uses the correct magic command syntax. Others are invalid Python or matplotlib syntax.

3. Final Answer:

   %matplotlib inline -> Option A

4. Quick Check:

   Magic command starts with % [OK]

Hint: Magic commands start with % in Jupyter [OK]

Common Mistakes:

• Trying to call inline as a function
• Using import incorrectly
• Missing the % sign

3. What will be the output when running this code in a Jupyter notebook without any magic command?

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.show()

medium

A. The plot will display inside the notebook cell.

B. No plot will display and no error occurs.

C. The plot will open in a separate window.

D. A syntax error will occur.

Solution

1. Step 1: Understand default matplotlib behavior without inline

   Without %matplotlib inline, matplotlib opens plots in external windows by default.

2. Step 2: Analyze the code behavior

   The code calls plt.show(), which triggers the plot window to open externally.

3. Final Answer:

   The plot will open in a separate window. -> Option C

4. Quick Check:

   No inline command = external window [OK]

Hint: No %matplotlib inline means external window [OK]

Common Mistakes:

• Assuming plot shows inside notebook by default
• Expecting syntax errors
• Thinking no plot appears

4. You run %matplotlib inline in a Jupyter notebook but your plots still do not show inside the notebook. What is the most likely cause?

medium

A. You forgot to import matplotlib.pyplot as plt.

B. Your notebook does not support inline plotting.

C. You used plt.show() which disables inline plots.

D. You ran the magic command after plotting the graphs.

Solution

1. Step 1: Understand when to run %matplotlib inline

   The magic command must be run before any plotting commands to enable inline display.

2. Step 2: Analyze the options

   You ran the magic command after plotting the graphs. correctly identifies that running the magic after plotting will not show plots inline. Other options are less likely or incorrect.

3. Final Answer:

   You ran the magic command after plotting the graphs. -> Option D

4. Quick Check:

   Run magic before plotting [OK]

Hint: Run %matplotlib inline before plotting [OK]

Common Mistakes:

• Running magic after plotting
• Thinking plt.show() disables inline
• Assuming import affects inline display

5. You want to create multiple plots in a Jupyter notebook cell and have them all display inline one after another. Which approach will work best?

hard

A. Run %matplotlib inline and call plt.show() after each plot.

B. Run %matplotlib inline before plotting, then create all plots without calling plt.show().

C. Run %matplotlib inline and call plt.show() only after the last plot.

D. Run %matplotlib inline once, then call plt.show() after each plot.

Solution

1. Step 1: Understand inline plotting with multiple plots

   With %matplotlib inline, plots are automatically rendered and displayed inline at the end of the cell without needing plt.show().

2. Step 2: Evaluate options for correct usage

   Run %matplotlib inline before plotting, then create all plots without calling plt.show(). is the standard best practice as plt.show() is unnecessary in inline mode.

3. Final Answer:

   Run %matplotlib inline before plotting, then create all plots without calling plt.show(). -> Option B

4. Quick Check:

   No plt.show() needed in inline mode [OK]

Hint: No plt.show() needed with %matplotlib inline [OK]

Common Mistakes:

• Calling plt.show() after each plot (unnecessary)
• Calling plt.show() only after the last plot
• Thinking plt.show() is required for inline