Why the OO interface matters in Matplotlib - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a figure and axes using the object-oriented interface.

Matplotlib

fig, ax = plt.[1]()

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

Afigure

Bshow

Cplot

Dsubplots

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.figure() returns only the figure, not axes.

Using plt.plot() creates a plot but does not return figure and axes objects.

Using plt.show() just displays the plot and does not create objects.

The plt.subplots() function creates a figure and axes objects for plotting using the OO interface.

2fill in blank

medium

Complete the code to plot data using the axes object in the OO interface.

Matplotlib

ax.[1](x, y)

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

Aplot

Bfigure

Cshow

Dsubplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using ax.figure() does not plot data.

Using ax.show() only displays the plot but does not plot data.

Using ax.subplot() is not a valid method.

Using ax.plot() plots the data on the axes object in the OO interface.

3fill in blank

hard

Fix the error in setting the title using the OO interface.

Matplotlib

ax.[1]('My Plot Title')

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

Atitle

Blabel

Cset_title

Dsetlabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using ax.title() causes an error because it does not exist.

Using ax.setlabel() or ax.label() are invalid for titles.

The correct method to set the title in the OO interface is set_title().

4fill in blank

hard

Fill both blanks to create a scatter plot and set x and y labels using the OO interface.

Matplotlib

ax.[1](x, y)
ax.[2]('X axis')
ax.set_ylabel('Y axis')

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

Ascatter

Bset_xlabel

Cplot

Dxlabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using ax.plot() instead of ax.scatter() changes the plot type.

Using ax.xlabel() instead of ax.set_xlabel() causes an error.

Use ax.scatter() to create a scatter plot and ax.set_xlabel() to set the x-axis label in the OO interface.

5fill in blank

hard

Fill all three blanks to create a bar chart, set the title, and display the plot using the OO interface.

Matplotlib

fig, ax = plt.subplots()
ax.[1](categories, values)
ax.[2]('Category Counts')
plt.[3]()

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

Abar

Bset_title

Cshow

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using ax.plot() instead of ax.bar() changes the chart type.

Using ax.title() instead of ax.set_title() causes an error.

Forgetting plt.show() means the plot won't display.

Use ax.bar() to create a bar chart, ax.set_title() to set the title, and plt.show() to display the plot.