Broken axes concept in Matplotlib - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the purpose of using broken axes in a plot?

Broken axes help to focus on important parts of data by skipping uninteresting ranges, making it easier to see details in different value ranges.

intermediate

How do you create broken axes in matplotlib?

You create broken axes by making multiple subplots with shared axes and hiding the parts you want to skip, then adding diagonal lines to show the break.

beginner

Why might broken axes be better than zooming in on a plot?

Broken axes show different parts of data at once without losing context, while zooming only shows one part and hides the rest.

beginner

Which matplotlib function is commonly used to create subplots for broken axes?

The function plt.subplots() is commonly used to create multiple axes for broken axes plots.

beginner

What visual cue is often added to broken axes to indicate the break?

Diagonal lines or zigzag marks are added on the axes to show where the axis is broken.

What does a broken axis help you do in a plot?

A Change the color of the plot

B Make the plot 3D

C Add grid lines automatically

D Skip unimportant data ranges to focus on key parts

Broken axes let you skip parts of the axis to focus on important data ranges.

Which matplotlib function is used to create multiple axes for broken axes?

A plt.subplots()

B plt.plot()

C plt.scatter()

D plt.hist()

plt.subplots() creates multiple axes needed for broken axes plots.

What visual element usually shows where the axis is broken?

A Diagonal lines

B Arrow

C Circle

D Dots

Diagonal lines or zigzag marks indicate the break in the axis.

Why might broken axes be preferred over zooming in on a plot?

A They remove axis labels

B They show multiple data ranges at once

C They add animation

D They change the plot color

Broken axes show different parts of data together without losing context.

What is a key step when creating broken axes in matplotlib?

A Adding a legend

B Changing the figure size only

C Using multiple subplots and hiding parts of axes

D Using plt.scatter()

Creating broken axes involves multiple subplots and hiding axis parts to skip ranges.

Explain how broken axes help in visualizing data and describe the steps to create them in matplotlib.

Think about how to show important data ranges clearly by skipping others.

Describe the visual cues used in broken axes plots and why they are important.

Consider how to signal to the viewer that the axis is not continuous.