Tight layout for spacing in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to apply tight layout to the plot.

Matplotlib

import matplotlib.pyplot as plt

plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]()  # Adjust spacing
plt.show()

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

Ashow

Bfigure

Cplot

Dtight_layout

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.show() instead of plt.tight_layout()

Forgetting to call any layout adjustment function

The tight_layout() function adjusts the spacing of subplots to prevent overlap.

2fill in blank

medium

Complete the code to create a figure and apply tight layout.

Matplotlib

import matplotlib.pyplot as plt

fig, ax = plt.subplots()
ax.plot([1, 2, 3], [3, 2, 1])
fig.[1]()
plt.show()

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

Atight_layout

Bsavefig

Cshow

Dsubplots_adjust

Attempts:

3 left

💡 Hint

Common Mistakes

Calling plt.tight_layout() instead of fig.tight_layout()

Using subplots_adjust without parameters

Calling tight_layout() on the figure object adjusts spacing automatically.

3fill in blank

hard

Fix the error in the code to correctly apply tight layout.

Matplotlib

import matplotlib.pyplot as plt

fig, axs = plt.subplots(2, 1)
axs[0].plot([1, 2, 3], [1, 4, 9])
axs[1].plot([1, 2, 3], [9, 4, 1])
plt.[1]()  # Missing parentheses
plt.show()

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

Atight_layout

Btight_layout()

Cshow()

Dfigure()

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting parentheses after tight_layout

Calling show() instead of tight_layout()

The tight_layout() function must be called with parentheses to execute.

4fill in blank

hard

Fill both blanks to create two subplots and apply tight layout.

Matplotlib

import matplotlib.pyplot as plt

fig, [1] = plt.subplots(1, 2)
[2].plot([1, 2, 3], [3, 2, 1])
fig.tight_layout()
plt.show()

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

Aaxs

Baxs[0]

Cfig

Dplt

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'ax' for multiple subplots

Plotting on 'fig' instead of an axis

When creating multiple subplots, axs is a list of axes. Use axs[0] to plot on the first subplot.

5fill in blank

hard

Fill all three blanks to create a figure with 3 subplots, plot on the second, and apply tight layout.

Matplotlib

import matplotlib.pyplot as plt

fig, [1] = plt.subplots(3, 1)
[2].plot([1, 2, 3], [2, 4, 6])
fig.[3]()
plt.show()

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

Aaxes

Baxes[1]

Ctight_layout

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Plotting on axes[0] instead of axes[1]

Forgetting to call tight_layout() as a function

Using 'ax' instead of 'axes' for multiple subplots

Multiple subplots return a list axes. Plot on the second subplot with axes[1]. Call tight_layout() on the figure to adjust spacing.

Practice

1. What is the main purpose of using tight_layout() in matplotlib?

easy

A. To automatically adjust spacing between subplots to prevent overlap

B. To change the color of the plot background

C. To add grid lines to the plot

D. To save the plot as an image file

Solution

1. Step 1: Understand the function role

   tight_layout() is designed to adjust subplot parameters automatically.

2. Step 2: Identify the effect on spacing

   It prevents labels, titles, and ticks from overlapping by adjusting spacing.

3. Final Answer:

   To automatically adjust spacing between subplots to prevent overlap -> Option A

4. Quick Check:

   Tight layout = Adjust spacing [OK]

Hint: Remember: tight_layout fixes overlapping plots [OK]

Common Mistakes:

• Thinking it changes colors or styles
• Confusing it with saving or exporting plots
• Assuming it adds grid lines automatically

2. Which of the following is the correct way to apply tight layout in matplotlib after creating subplots?

easy

A. plt.tight_layout()

B. plt.tightlayout()

C. plt.tight_layout

D. plt.tight_layout[]

Solution

1. Step 1: Recall the correct function syntax

   The function is called tight_layout() with an underscore and parentheses.

2. Step 2: Identify the correct option

   plt.tight_layout() uses the correct spelling and parentheses to call the function.

3. Final Answer:

   plt.tight_layout() -> Option A

4. Quick Check:

   Correct function call = plt.tight_layout() [OK]

Hint: Function calls need parentheses and exact spelling [OK]

Common Mistakes:

• Missing parentheses when calling the function
• Incorrect spelling like 'tightlayout'
• Using brackets instead of parentheses

3. What will be the effect of the following code snippet?

import matplotlib.pyplot as plt
fig, axs = plt.subplots(2, 2)
plt.tight_layout(pad=3.0)
plt.show()

medium

A. Subplots will overlap because padding is too small

B. The plot window will not open

C. The code will raise an error because pad is invalid

D. Subplots will have increased padding between them

Solution

1. Step 1: Understand the pad parameter

   The pad argument in tight_layout() controls the padding around subplots in inches.

2. Step 2: Analyze the effect of pad=3.0

   Setting pad=3.0 increases space between subplots, reducing overlap.

3. Final Answer:

   Subplots will have increased padding between them -> Option D

4. Quick Check:

   pad=3.0 means more space [OK]

Hint: Higher pad value means more space between plots [OK]

Common Mistakes:

• Assuming pad is a boolean or invalid parameter
• Thinking pad reduces space instead of increasing
• Expecting an error from valid parameter usage

4. Identify the error in this code that tries to use tight layout:

import matplotlib.pyplot as plt
fig, axs = plt.subplots(2, 2)
plt.tight_layout(padding=2.0)
plt.show()

medium

A. There is no error; the code runs fine

B. tight_layout() must be called before subplots()

C. The parameter name should be 'pad' not 'padding'

D. plt.show() should be called before tight_layout()

Solution

1. Step 1: Check parameter names for tight_layout()

   The correct parameter to control padding is pad, not padding.

2. Step 2: Confirm function call order

   tight_layout() should be called after creating subplots and before plt.show(), which is correct here.

3. Final Answer:

   The parameter name should be 'pad' not 'padding' -> Option C

4. Quick Check:

   Use pad= not padding= [OK]

Hint: Use 'pad' parameter, not 'padding' [OK]

Common Mistakes:

• Using wrong parameter names
• Calling tight_layout before creating subplots
• Calling plt.show() before tight_layout

5. You have a figure with 3 subplots and long axis labels causing overlap. How can you use tight_layout() to fix this and add extra space on the right side for a legend?

hard

A. Call plt.tight_layout(pad=0) to remove all padding

B. Call plt.tight_layout(rect=[0, 0, 0.85, 1]) to leave space on the right

C. Call plt.tight_layout(w_pad=5, h_pad=5) to increase padding equally

D. Call plt.tight_layout() without parameters; it always reserves legend space

Solution

1. Step 1: Understand the rect parameter

   The rect parameter defines the area for subplots as [left, bottom, right, top] in normalized figure coordinates.

2. Step 2: Use rect to leave space for legend

   Setting rect=[0, 0, 0.85, 1] shrinks subplot area to 85% width, leaving right space for legend.

3. Final Answer:

   Call plt.tight_layout(rect=[0, 0, 0.85, 1]) to leave space on the right -> Option B

4. Quick Check:

   rect shrinks plot area for legend space [OK]

Hint: Use rect to reserve space for legends [OK]

Common Mistakes:

• Setting pad=0 removes needed spacing
• Assuming tight_layout reserves legend space automatically
• Using only w_pad and h_pad without adjusting rect