Figure-level methods vs axes-level in Matplotlib - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a figure and axes using matplotlib.

Matplotlib

import matplotlib.pyplot as plt
fig, ax = plt.[1]()

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

Ashow

Bfigure

Csubplots

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.figure() only creates a figure without axes.

Using plt.plot() does not create figure and axes objects.

The plt.subplots() function creates a figure and axes together.

2fill in blank

medium

Complete the code to plot data using the axes-level method.

Matplotlib

fig, ax = plt.subplots()
ax.[1]([1, 2, 3], [4, 5, 6])
plt.show()

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

Afigure

Bshow

Csubplots

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Calling plt.plot() instead of ax.plot() when using axes-level plotting.

Using ax.show() which does not exist.

The ax.plot() method plots data on the specific axes.

3fill in blank

hard

Fix the error in the code by choosing the correct figure-level method to set the title.

Matplotlib

fig, ax = plt.subplots()
ax.plot([1, 2, 3], [4, 5, 6])
fig.[1]('My Plot Title')
plt.show()

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

Asuptitle

Btitle

Cset_title

Dshow

Attempts:

3 left

💡 Hint

Common Mistakes

Using ax.set_title() to set a figure title instead of a subplot title.

Using fig.title() which does not exist.

The figure-level method to set a title for the whole figure is fig.suptitle().

4fill in blank

hard

Fill both blanks to set the x and y labels using axes-level methods.

Matplotlib

fig, ax = plt.subplots()
ax.plot([1, 2, 3], [4, 5, 6])
ax.[1]('X Label')
ax.[2]('Y Label')
plt.show()

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

Aset_xlabel

Bset_ylabel

Cxlabel

Dylabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.xlabel() and plt.ylabel(), which are pyplot functions.

Using ax.xlabel(), which does not exist.

The axes-level methods are ax.set_xlabel() and ax.set_ylabel().

5fill in blank

hard

Fill all three blanks to set titles on two subplots using axes-level methods and a main title using figure-level method.

Matplotlib

fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.plot([1,2,3], [1,2,3])
ax1.[1]('Left Plot')
ax2.plot([3,2,1], [1,2,3])
ax2.[2]('Right Plot')
fig.[3]('Comparison')
plt.show()

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

Aset_title

Bsuptitle

Ctitle

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using title() without set_ on axes.

Using suptitle() on individual axes instead of figure.

Use set_title() on each ax for subplot titles and suptitle() on fig for the main title.

Practice

1. Which method would you use to set the main title for the entire figure in matplotlib?

easy

A. plt.title()

B. ax.set_title()

C. ax.set_xlabel()

D. fig.suptitle()

Solution

1. Step 1: Understand figure-level vs axes-level

   Figure-level methods control the whole figure, axes-level methods control individual plots.

2. Step 2: Identify method for main figure title

   The method fig.suptitle() sets the main title for the entire figure, while ax.set_title() sets title for one subplot.

3. Final Answer:

   fig.suptitle() -> Option D

4. Quick Check:

   Figure main title = fig.suptitle() [OK]

Hint: Main figure title uses fig.suptitle(), not ax.set_title() [OK]

Common Mistakes:

• Using ax.set_title() for main figure title
• Using plt.title() which affects current axes
• Confusing xlabel with title

2. Which of the following is the correct syntax to set the x-axis label for a single plot (axes) in matplotlib?

easy

A. plt.set_xlabel('X Label')

B. fig.set_xlabel('X Label')

C. ax.set_xlabel('X Label')

D. fig.xlabel('X Label')

Solution

1. Step 1: Identify the object controlling axis labels

   Axis labels belong to individual plots, so axes-level methods are used.

2. Step 2: Choose correct method and object

   The method set_xlabel() is called on an axes object, so ax.set_xlabel('X Label') is correct.

3. Final Answer:

   ax.set_xlabel('X Label') -> Option C

4. Quick Check:

   Axis label = ax.set_xlabel() [OK]

Hint: Use ax.set_xlabel() for x-axis label, not fig or plt [OK]

Common Mistakes:

• Calling set_xlabel() on figure object
• Using plt.set_xlabel() which does not exist
• Confusing axis label with figure title

3. What will the following code display?

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
fig.suptitle('Main Title')
ax.set_title('Plot Title')
ax.set_xlabel('X Axis')
ax.set_ylabel('Y Axis')
plt.show()

medium

A. A figure with main title 'Main Title' and one plot titled 'Plot Title' with labeled axes

B. Only a plot titled 'Main Title' with axes labeled 'X Axis' and 'Y Axis'

C. A figure with no titles but axes labeled 'X Axis' and 'Y Axis'

D. Error because fig.suptitle() cannot be used with ax.set_title()

Solution

1. Step 1: Understand figure and axes titles

   fig.suptitle() sets the main figure title; ax.set_title() sets the subplot title.

2. Step 2: Analyze axis labels and display

   ax.set_xlabel() and ax.set_ylabel() label the x and y axes of the plot. The code will show all these correctly.

3. Final Answer:

   A figure with main title 'Main Title' and one plot titled 'Plot Title' with labeled axes -> Option A

4. Quick Check:

   fig.suptitle + ax.set_title + ax labels = A figure with main title 'Main Title' and one plot titled 'Plot Title' with labeled axes [OK]

Hint: fig.suptitle is main title; ax.set_title is subplot title [OK]

Common Mistakes:

• Thinking fig.suptitle replaces ax.set_title
• Expecting error when using both titles
• Ignoring axis labels

4. Identify the error in this code snippet:

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
fig.set_title('Main Title')
ax.set_xlabel('X Label')
plt.show()

medium

A. fig.set_title() is not a valid method for figure objects

B. ax.set_xlabel() should be called on fig, not ax

C. plt.show() must be called before setting titles

D. fig, ax = plt.subplots() returns only one object

Solution

1. Step 1: Check figure method usage

   The figure object does not have a method called set_title(). The correct method for figure title is suptitle().

2. Step 2: Verify other method calls

   ax.set_xlabel() is correct for labeling x-axis. plt.show() is correctly placed at the end.

3. Final Answer:

   fig.set_title() is not a valid method for figure objects -> Option A

4. Quick Check:

   Figure title method = fig.suptitle() not fig.set_title() [OK]

Hint: Figure title uses suptitle(), not set_title() [OK]

Common Mistakes:

• Using fig.set_title() instead of fig.suptitle()
• Confusing axes methods with figure methods
• Calling plt.show() too early

5. You want to create a figure with 2 subplots side by side. You want a main title for the figure and individual titles for each subplot. Which code correctly achieves this?

hard

A. fig, axs = plt.subplots(1, 2)
fig.title('Main Title')
axs[0].title('Left Plot')
axs[1].title('Right Plot')
plt.show()

B. fig, axs = plt.subplots(1, 2)
fig.suptitle('Main Title')
axs[0].set_title('Left Plot')
axs[1].set_title('Right Plot')
plt.show()

C. fig, axs = plt.subplots(2, 1)
fig.set_title('Main Title')
axs[0].set_xlabel('Left Plot')
axs[1].set_xlabel('Right Plot')
plt.show()

D. fig, axs = plt.subplots(1, 2)
axs.set_title('Main Title')
fig.set_title('Left Plot')
fig.set_title('Right Plot')
plt.show()

Solution

1. Step 1: Create subplots and set main figure title

   plt.subplots(1, 2) creates two side-by-side plots. fig.suptitle() sets the main figure title.

2. Step 2: Set individual subplot titles correctly

   Each subplot is accessed by axs[0] and axs[1]. Use set_title() to set their titles.

3. Step 3: Verify other options are incorrect

   The other options misuse methods like fig.set_title() or fig.title() which do not exist or use wrong subplot layout.

4. Final Answer:

   fig, axs = plt.subplots(1, 2) fig.suptitle('Main Title') axs[0].set_title('Left Plot') axs[1].set_title('Right Plot') plt.show() -> Option B

5. Quick Check:

   Figure main title = fig.suptitle(), subplot titles = axs[i].set_title() [OK]

Hint: Use fig.suptitle() for main title, axs[i].set_title() for subplots [OK]

Common Mistakes:

• Using fig.set_title() instead of fig.suptitle()
• Calling title() instead of set_title()
• Wrong subplot layout dimensions