Subplots for multiple charts in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a figure and axes for subplots.

Pandas

fig, axes = plt.subplots([1])

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

A3

B2

C1

D4

Attempts:

3 left

💡 Hint

Common Mistakes

Using a number larger than needed creates extra empty plots.

Forgetting to import matplotlib.pyplot as plt.

The plt.subplots function creates a figure and a set of subplots. Here, 2 means two subplots in one row.

2fill in blank

medium

Complete the code to plot data on the first subplot.

Pandas

axes[[1]].plot(data['x'], data['y1'])

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

A0

B-1

C2

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Using 1 instead of 0 causes an index error or plots on the second subplot.

Using negative indices without understanding their meaning.

Subplot axes are indexed starting at 0, so the first subplot is axes[0].

3fill in blank

hard

Fix the error in the code to set the title of the second subplot.

Pandas

axes[1].[1]('Second Chart')

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

Aset_title

Btitle

CsetTitle

Dtitles

Attempts:

3 left

💡 Hint

Common Mistakes

Using title instead of set_title causes an attribute error.

Using camelCase like setTitle is incorrect in matplotlib.

The correct method to set a title on an axes object is set_title().

4fill in blank

hard

Fill both blanks to create two subplots in one column and plot data on the second subplot.

Pandas

fig, axes = plt.subplots([1], [2])
axes[1].plot(data['x'], data['y2'])

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

A2

B1

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping rows and columns causes unexpected layout.

Using indices out of range for axes.

To create two subplots stacked vertically, use plt.subplots(2, 1). Then axes[1] is the second subplot.

5fill in blank

hard

Fill all three blanks to create a 2x2 grid of subplots, plot on the bottom right, and set its title.

Pandas

fig, axes = plt.subplots([1], [2])
axes[[3]].plot(data['x'], data['y3'])
axes[[3]].set_title('Bottom Right')

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

A2

B3

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong indices for the bottom right subplot.

Mixing up rows and columns in plt.subplots.

A 2x2 grid means 2 rows and 2 columns. The bottom right subplot is at index 3 (zero-based counting).