Labels, titles, and legends in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add a title to the plot.

Data Analysis Python

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]("My Plot Title")
plt.show()

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

Atitle

Bxlabel

Clegend

Dylabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using xlabel or ylabel instead of title.

Trying to use legend to set the title.

The title function adds a title to the plot.

2fill in blank

medium

Complete the code to add a label to the x-axis.

Data Analysis Python

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]("Time (seconds)")
plt.show()

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

Atitle

Blegend

Cylabel

Dxlabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using ylabel instead of xlabel.

Trying to set the label with title or legend.

The xlabel function adds a label to the x-axis.

3fill in blank

hard

Fix the error in the code to add a legend to the plot.

Data Analysis Python

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6], label='Line 1')
plt.[1]()
plt.show()

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

Alegends

Blabel

Clegend

Dlegend_show

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'legends' instead of 'legend'.

Trying to call 'label()' to show the legend.

The correct function to show the legend is legend().

4fill in blank

hard

Fill both blanks to add labels to both axes.

Data Analysis Python

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]("Days")
plt.[2]("Sales")
plt.show()

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

Axlabel

Btitle

Cylabel

Dlegend

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping xlabel and ylabel.

Using title or legend instead of axis labels.

xlabel sets the label for the x-axis, and ylabel sets the label for the y-axis.

5fill in blank

hard

Fill all three blanks to add a title, x-axis label, and legend to the plot.

Data Analysis Python

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6], label='Revenue')
plt.[1]("Monthly Revenue")
plt.[2]("Month")
plt.[3]()

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

Axlabel

Blegend

Ctitle

Dylabel

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up title and xlabel.

Forgetting parentheses on legend.

Using ylabel instead of xlabel.

title adds the plot title, xlabel labels the x-axis, and legend() shows the legend.