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.