Subplots for multiple charts in Data Analysis Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the purpose of using subplots in data visualization?

Subplots allow you to display multiple charts in one figure. This helps compare different data views side by side easily.

beginner

How do you create a 2x2 grid of subplots using matplotlib?

Use plt.subplots(2, 2) to create a figure with 4 subplots arranged in 2 rows and 2 columns.

beginner

What does the 'axes' object represent when you create subplots?

The 'axes' object is the area where each individual chart is drawn. It lets you control each subplot separately.

intermediate

How can you adjust the space between subplots?

Use plt.tight_layout() or fig.subplots_adjust() to add space between subplots so labels and titles don’t overlap.

beginner

Why might you use subplots instead of separate figures?

Subplots keep related charts together in one view. This makes it easier to compare data and saves screen space.

Which function creates multiple subplots in matplotlib?

A plt.plot()

B plt.subplots()

C plt.figure()

D plt.show()

plt.subplots() creates a figure and a grid of subplots.

What does plt.subplots(3, 1) create?

A A single plot

B 1 row and 3 columns of subplots

C 3 rows and 1 column of subplots

D 3 separate figures

It creates 3 subplots stacked vertically in one column.

How do you access the second subplot in a 1D axes array from plt.subplots(2)?

A axes[1]

B axes[0]

C axes(1)

D axes[2]

Indexing starts at 0, so the second subplot is axes[1].

Which method helps prevent overlapping labels in subplots?

A plt.plot()

B plt.show()

C plt.grid()

D plt.tight_layout()

plt.tight_layout() automatically adjusts spacing to avoid overlaps.

If you want 4 subplots in a 2x2 grid, which call is correct?

A plt.subplots(2, 2)

B plt.subplots(4, 1)

C plt.subplots(1, 4)

D plt.subplots(3, 3)

plt.subplots(2, 2) creates 4 subplots arranged in 2 rows and 2 columns.

Explain how to create and customize multiple charts using subplots in matplotlib.

Think about how to organize charts in a grid and control each one.

Describe why subplots are useful when analyzing data with multiple related charts.

Consider the benefits of seeing charts together instead of separately.