Subplot spacing adjustment in Matplotlib - Cheat Sheet & Quick Revision

Recall & Review

beginner

What does adjusting subplot spacing in matplotlib help with?

It helps to control the space between multiple plots in a figure, making sure labels and titles don't overlap and the layout looks clean.

beginner

Which matplotlib function is commonly used to adjust the space between subplots?

The plt.subplots_adjust() function is used to change spacing like left, right, top, bottom margins and the space between rows and columns.

intermediate

What parameters can you set in plt.subplots_adjust() to control subplot spacing?

You can set left, right, top, bottom for margins, and wspace and hspace for width and height spacing between subplots.

beginner

How does increasing wspace affect subplots?

Increasing wspace adds more horizontal space between subplots, preventing overlap of x-axis labels or titles.

intermediate

What is the difference between plt.tight_layout() and plt.subplots_adjust()?

plt.tight_layout() automatically adjusts subplot spacing to fit content nicely, while plt.subplots_adjust() lets you manually set exact spacing values.

Which parameter controls vertical space between subplots in plt.subplots_adjust()?

A hspace

B wspace

C left

D right

hspace controls the height (vertical) space between subplots.

What does plt.tight_layout() do?

A Automatically adjusts subplot spacing to avoid overlap

B Removes all subplot spacing

C Creates subplots

D Manually sets subplot spacing

plt.tight_layout() automatically adjusts spacing to prevent overlap.

If subplot titles overlap, which parameter should you increase?

A bottom

B left

C wspace

D hspace

Increasing wspace adds horizontal space, reducing title overlap.

Which function allows manual control of subplot margins?

A plt.subplots()

B plt.show()

C plt.plot()

D plt.subplots_adjust()

plt.subplots_adjust() lets you manually set margins and spacing.

What happens if you set hspace to zero?

A Subplots disappear

B Subplots overlap vertically

C Subplots have maximum vertical space

D Subplots overlap horizontally

Setting hspace to zero removes vertical space, causing overlap.

Explain how to adjust spacing between subplots in matplotlib to avoid overlapping labels.

Think about parameters controlling horizontal and vertical gaps.

Describe the difference between using plt.tight_layout() and plt.subplots_adjust() for subplot spacing.

One is automatic, the other lets you set exact values.

Practice

1. What does the plt.subplots_adjust() function do in matplotlib?

easy

A. It changes the space between subplots in a figure.

B. It creates new subplots in a figure.

C. It saves the figure to a file.

D. It changes the color of the plot lines.

Solution

1. Step 1: Understand the purpose of plt.subplots_adjust()

   This function is used to control the spacing between subplots in a matplotlib figure.

2. Step 2: Compare options

   Only It changes the space between subplots in a figure. correctly describes adjusting space between subplots. Other options describe different functions.

3. Final Answer:

   It changes the space between subplots in a figure. -> Option A

4. Quick Check:

   Subplot spacing adjustment = plt.subplots_adjust() [OK]

Hint: Remember: adjust spacing, not create or save plots [OK]

Common Mistakes:

• Confusing subplot creation with spacing adjustment
• Thinking it saves the figure
• Mixing it with styling functions

2. Which of the following is the correct syntax to increase horizontal space between subplots using plt.subplots_adjust()?

easy

A. plt.subplots_adjust(hspace=0.5)

B. plt.subplots_adjust(space=0.5)

C. plt.subplots_adjust(wspace=0.5)

D. plt.subplots_adjust(widthspace=0.5)

Solution

1. Step 1: Identify parameter for horizontal spacing

   The parameter wspace controls horizontal space between subplots.

2. Step 2: Check syntax correctness

   plt.subplots_adjust(wspace=0.5) uses wspace=0.5, which is correct. Other options use incorrect or non-existent parameters.

3. Final Answer:

   plt.subplots_adjust(wspace=0.5) -> Option C

4. Quick Check:

   wspace adjusts horizontal space [OK]

Hint: Use wspace for width (horizontal), hspace for height (vertical) [OK]

Common Mistakes:

• Using hspace instead of wspace for horizontal spacing
• Using wrong parameter names like space or widthspace
• Syntax errors in function call

3. What will be the effect of this code on subplot spacing?

import matplotlib.pyplot as plt
fig, axs = plt.subplots(1, 2)
plt.subplots_adjust(wspace=1.0)
plt.show()

medium

A. Subplots will have increased horizontal space between them.

B. Subplots will be very close horizontally with almost no space.

C. Subplots will overlap each other.

D. Subplots will have increased vertical space between them.

Solution

1. Step 1: Understand wspace=1.0 effect

   Setting wspace to 1.0 increases horizontal space between subplots significantly.

2. Step 2: Analyze code behavior

   Since there are 2 subplots side by side, they will be spaced apart horizontally, not vertically.

3. Final Answer:

   Subplots will have increased horizontal space between them. -> Option A

4. Quick Check:

   wspace=1.0 means more horizontal space [OK]

Hint: wspace controls horizontal gap size between subplots [OK]

Common Mistakes:

• Confusing wspace with hspace
• Expecting subplots to overlap
• Thinking spacing affects vertical gap

4. Identify the error in this code that tries to adjust subplot spacing:

import matplotlib.pyplot as plt
fig, axs = plt.subplots(2, 1)
plt.subplots_adjust(wspace=0.3, hspace=0.5)
plt.show()

medium

A. Using hspace with vertical subplots is invalid.

B. Using wspace when subplots are stacked vertically.

C. Incorrect number of subplots created.

D. Missing plt.show() call.

Solution

1. Step 1: Analyze subplot layout

   The code creates 2 subplots stacked vertically (2 rows, 1 column).

2. Step 2: Check spacing parameters

   wspace controls horizontal spacing, which is irrelevant here because subplots are vertical. Only hspace affects vertical spacing.

3. Final Answer:

   Using wspace when subplots are stacked vertically. -> Option B

4. Quick Check:

   wspace for horizontal, not vertical spacing [OK]

Hint: Match wspace to horizontal, hspace to vertical layout [OK]

Common Mistakes:

• Using wspace for vertical subplot spacing
• Ignoring subplot grid shape
• Assuming hspace is invalid for vertical layout

5. You have a 2x2 grid of subplots with overlapping x-axis labels. Which plt.subplots_adjust() call best reduces overlap by increasing vertical space and adding some horizontal space?

hard

A. plt.subplots_adjust(wspace=1.5, hspace=0.0)

B. plt.subplots_adjust(wspace=0.0, hspace=0.0)

C. plt.subplots_adjust(wspace=0.0, hspace=1.5)

D. plt.subplots_adjust(wspace=0.4, hspace=0.6)

Solution

1. Step 1: Understand the problem of overlapping x-axis labels

   Overlapping x-axis labels usually happen vertically between rows, so increasing vertical space (hspace) helps.

2. Step 2: Consider horizontal space

   Adding some horizontal space (wspace) also improves readability between columns.

3. Step 3: Evaluate options

   plt.subplots_adjust(wspace=0.4, hspace=0.6) increases both wspace and hspace moderately, which best reduces overlap without wasting space.

4. Final Answer:

   plt.subplots_adjust(wspace=0.4, hspace=0.6) -> Option D

5. Quick Check:

   Increase hspace and wspace moderately to reduce overlap [OK]

Hint: Increase hspace for vertical gaps, wspace for horizontal gaps [OK]

Common Mistakes:

• Setting spacing to zero causing overlap
• Increasing only one spacing dimension
• Using too large spacing causing wasted space