Broken axes concept in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the module needed to create broken axes plots.

Matplotlib

import matplotlib.[1] as plt

Drag options to blanks, or click blank then click option'

Apyplot

Bfigure

Cbreakaxes

Daxes

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'breakaxes' directly without importing pyplot.

Trying to import 'axes' which is not a module.

Importing 'figure' instead of 'pyplot'.

The pyplot module from matplotlib is used to create plots, including broken axes.

2fill in blank

medium

Complete the code to create a broken axes plot with two y-axis ranges.

Matplotlib

import [1]

fig, bax = [1].breakaxes(ylims=((0, 5), (15, 20)))

Drag options to blanks, or click blank then click option'

Abreakaxes

Bpyplot

Caxes

Dfigure

Attempts:

3 left

💡 Hint

Common Mistakes

Using pyplot.breakaxes which does not exist.

Trying to use axes.breakaxes which is invalid.

Using figure.breakaxes which is incorrect.

The breakaxes function from the breakaxes module creates plots with broken axes.

3fill in blank

hard

Fix the error in the code to plot data on broken axes.

Matplotlib

fig, bax = breakaxes(ylims=((0, 3), (10, 15)))
x = [1, 2, 3, 4]
y = [2, 1, 12, 14]
bax.plot(x, [1])
plt.show()

Drag options to blanks, or click blank then click option'

Ax

Bbax

Cy

Dfig

Attempts:

3 left

💡 Hint

Common Mistakes

Passing x instead of y to plot.

Passing fig or bax which are not data arrays.

Not passing any data to plot.

The y-values to plot must be passed to bax.plot as the second argument.

4fill in blank

hard

Fill both blanks to create a broken axes plot with two y-axis ranges and plot data.

Matplotlib

from breakaxes import [1]

fig, bax = [1](ylims=([2], (20, 30)))
x = [1, 2, 3, 4]
y = [2, 25, 27, 29]
bax.plot(x, y)
plt.show()

Drag options to blanks, or click blank then click option'

Abreakaxes

Bpyplot

C(0, 10)

D(10, 20)

Attempts:

3 left

💡 Hint

Common Mistakes

Importing pyplot instead of breakaxes.

Using wrong y-limit ranges.

Not matching the import and function call names.

Import breakaxes and use it to create the broken axes with the first y-limit range (0, 10).

5fill in blank

hard

Fill all three blanks to create a broken axes plot, plot data, and set labels.

Matplotlib

from breakaxes import [1]
import matplotlib.pyplot as [2]

fig, bax = [1](ylims=((0, 5), (15, 25)))
x = [1, 2, 3, 4]
y = [3, 4, 20, 22]
bax.plot(x, y)
bax.set_xlabel('[3]')
bax.set_ylabel('Value')
plt.show()

Drag options to blanks, or click blank then click option'

Abreakaxes

Bplt

CTime

Dax

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong import names.

Not setting the x-axis label correctly.

Confusing variable names for plotting.

Import breakaxes and pyplot as plt. Set the x-axis label to 'Time'.

Practice

1. What is the main purpose of using broken axes in matplotlib plots?

easy

A. To skip unimportant data ranges and focus on key parts

B. To add 3D effects to the plot

C. To change the color scheme automatically

D. To animate the plot over time

Solution

1. Step 1: Understand the concept of broken axes

   Broken axes are used to skip over parts of the axis where data is not important or has large gaps.

2. Step 2: Identify the main purpose

   This helps to focus on important data ranges without showing the entire axis continuously.

3. Final Answer:

   To skip unimportant data ranges and focus on key parts -> Option A

4. Quick Check:

   Broken axes = skip gaps [OK]

Hint: Broken axes hide gaps to highlight important data [OK]

Common Mistakes:

• Thinking broken axes add 3D or animation
• Confusing broken axes with color changes
• Assuming broken axes zoom in automatically

2. Which of the following is the correct way to import the brokenaxes package to use brokenaxes(...) directly for creating broken axes plots?

easy

A. from brokenaxes import BrokenAxes

B. import brokenaxes as ba

C. from brokenaxes import brokenaxes

D. import matplotlib.brokenaxes as ba

Solution

1. Step 1: Recall the correct import syntax

   The brokenaxes package provides the brokenaxes function to create broken axes plots.

2. Step 2: Identify the correct import statement

   The correct way is from brokenaxes import brokenaxes to access the function directly.

3. Final Answer:

   from brokenaxes import brokenaxes -> Option C

4. Quick Check:

   Import brokenaxes function = from brokenaxes import brokenaxes [OK]

Hint: Import brokenaxes function directly from brokenaxes [OK]

Common Mistakes:

• Using capital 'BrokenAxes' instead of 'brokenaxes'
• Trying to import from matplotlib instead of brokenaxes
• Using wrong import syntax causing ImportError

3. What will the following code output?

from brokenaxes import brokenaxes
import matplotlib.pyplot as plt

bax = brokenaxes(ylims=((0, 2), (8, 10)))
bax.plot([0, 1, 2, 3], [1, 1.5, 9, 9.5])
plt.show()

medium

A. A plot with y-axis broken between 2 and 8 showing points near 1 and 9

B. A plot with continuous y-axis from 0 to 10

C. An error because ylims must be a single tuple

D. A plot with x-axis broken between 2 and 8

Solution

1. Step 1: Analyze the ylims parameter

   The ylims=((0, 2), (8, 10)) means the y-axis is broken to show two ranges: 0 to 2 and 8 to 10, skipping 2 to 8.

2. Step 2: Understand the plotted points

   The y-values are 1, 1.5, 9, and 9.5, which fit into the two visible y-axis ranges.

3. Final Answer:

   A plot with y-axis broken between 2 and 8 showing points near 1 and 9 -> Option A

4. Quick Check:

   ylims tuple of ranges = broken y-axis [OK]

Hint: ylims with tuples creates breaks on y-axis [OK]

Common Mistakes:

• Assuming y-axis is continuous without breaks
• Confusing x-axis and y-axis breaks
• Expecting an error from tuple ylims

4. Identify the error in this code snippet that tries to create broken axes:

from brokenaxes import brokenaxes
import matplotlib.pyplot as plt

bax = brokenaxes(xlims=(0, 2), (5, 7))
bax.plot([1, 6], [10, 20])
plt.show()

medium

A. plt.show() must be called before plot

B. plot function requires x and y to be the same length

C. BrokenAxes cannot be used with xlims parameter

D. xlims should be a tuple of tuples, not separate tuples

Solution

1. Step 1: Check the xlims argument syntax

   The code uses xlims=(0, 2), (5, 7) which is invalid syntax; it should be a single tuple containing tuples like xlims=((0, 2), (5, 7)).

2. Step 2: Confirm other parts are correct

   The plot call and plt.show() are correct; the error is only in xlims syntax.

3. Final Answer:

   xlims should be a tuple of tuples, not separate tuples -> Option D

4. Quick Check:

   xlims syntax = tuple of tuples [OK]

Hint: Use double parentheses for xlims tuple of ranges [OK]

Common Mistakes:

• Passing multiple tuples without enclosing in one tuple
• Mixing up xlims and ylims syntax
• Calling plt.show() too early

5. You have data with y-values clustered around 0-3 and 50-55, with a large gap in between. How would you create a broken y-axis to show both clusters clearly using brokenaxes?

hard

A. Plot two separate figures for each cluster

B. Use ylims=((0, 3), (50, 55)) when creating brokenaxes

C. Use xlims=((0, 3), (50, 55)) to break x-axis instead

D. Use ylims=(0, 55) to show full range without breaks

Solution

1. Step 1: Identify the axis to break

   The gap is in y-values, so the y-axis needs to be broken to skip the large gap between 3 and 50.

2. Step 2: Set ylims with two ranges

   Using ylims=((0, 3), (50, 55)) creates a broken y-axis showing both clusters clearly.

3. Final Answer:

   Use ylims=((0, 3), (50, 55)) when creating brokenaxes -> Option B

4. Quick Check:

   Broken y-axis = ylims tuple of ranges [OK]

Hint: Set ylims with two ranges to break y-axis gaps [OK]

Common Mistakes:

• Breaking x-axis instead of y-axis
• Using single continuous ylims hiding gap
• Plotting separate figures unnecessarily