Inline display in Jupyter notebooks in Matplotlib - Cheat Sheet & Quick Revision

Recall & Review

beginner

What does 'inline display' mean in Jupyter notebooks?

Inline display means that plots and images appear directly below the code cell that created them, without opening a separate window.

beginner

Which magic command enables inline plotting in Jupyter notebooks?

The magic command %matplotlib inline enables inline plotting, so plots show up inside the notebook cells.

beginner

How do you import matplotlib and enable inline plots in a Jupyter notebook?

You write:<br><pre>import matplotlib.pyplot as plt
%matplotlib inline</pre><br>This sets up matplotlib and tells Jupyter to show plots inline.

beginner

Why is inline display useful when working in Jupyter notebooks?

Inline display keeps your plots right next to your code and results, making it easier to understand and share your work.

beginner

What happens if you don't use %matplotlib inline in a Jupyter notebook?

Without %matplotlib inline, plots might open in a separate window or not show up at all inside the notebook.

Which command makes matplotlib plots appear inside Jupyter notebook cells?

A %run matplotlib

B import matplotlib

C plt.show()

D %matplotlib inline

The command %matplotlib inline tells Jupyter to display plots inside the notebook cells.

What is the effect of %matplotlib inline in a notebook?

A Plots open in a new window

B Plots are saved to files automatically

C Plots display directly below the code cell

D Plots are hidden until manually shown

%matplotlib inline makes plots appear directly below the code cell that created them.

Which library is commonly used with %matplotlib inline for plotting?

A matplotlib.pyplot

B numpy

C pandas

D seaborn

matplotlib.pyplot is the plotting module used with %matplotlib inline.

If you forget to use %matplotlib inline, what might happen?

A Plots will not display inside the notebook

B Code will not run

C Notebook will crash

D Plots will be saved automatically

Without %matplotlib inline, plots might not show inside the notebook cells.

Where do inline plots appear in a Jupyter notebook?

A In a separate pop-up window

B Below the code cell that created them

C At the top of the notebook

D In the notebook sidebar

Inline plots appear directly below the code cell that generated them.

Explain how to enable inline plotting in a Jupyter notebook and why it is helpful.

Think about how you want your plots to show up when you run code.

Describe what happens if you do not use %matplotlib inline when plotting in Jupyter notebooks.

Consider the default behavior of matplotlib without inline mode.

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