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.