Memory management with large figures in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the matplotlib pyplot module correctly.

Matplotlib

import matplotlib.[1] as plt

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

Acharts

Bpyplot

Cplot

Dfigure

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'plot' instead of 'pyplot'.

Using 'charts' which is not a matplotlib module.

Using 'figure' which is a function, not a module.

The correct module to import for plotting in matplotlib is pyplot.

2fill in blank

medium

Complete the code to create a new figure with a large size to manage memory better.

Matplotlib

fig = plt.figure(figsize=[1])

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

A(10, 5)

B(5, 3)

C(20, 15)

D(12, 8)

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing too small figure size like (5, 3).

Choosing too large figure size like (20, 15) which uses more memory.

A figure size of (12, 8) inches is a good balance for large figures without excessive memory use.

3fill in blank

hard

Fix the error in the code to properly close a figure and free memory.

Matplotlib

plt.[1](fig)

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

Aclose

Bclear

Cremove

Ddelete

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'delete' which is not a matplotlib function.

Using 'remove' which does not close figures.

Using 'clear' which clears axes but does not close figures.

The plt.close() function properly closes the figure and frees memory.

4fill in blank

hard

Fill both blanks to create a plot and then clear the current figure to save memory.

Matplotlib

plt.plot(x, y)
plt.[1]()
plt.[2]()

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

Ashow

Bclose

Cclf

Ddraw

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'close' instead of 'clf' to clear the figure.

Using 'draw' which redraws but does not clear or close.

First, plt.show() displays the plot. Then, plt.clf() clears the current figure to free memory.

5fill in blank

hard

Fill all three blanks to create a large figure, plot data, and then close the figure to manage memory.

Matplotlib

fig = plt.figure(figsize=[1])
plt.plot(x, y)
plt.[2]()
plt.[3](fig)

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

A(15, 10)

Bclose

Cshow

D(8, 6)

Attempts:

3 left

💡 Hint

Common Mistakes

Using too large figure size causing high memory use.

Not closing the figure after plotting.

Calling show after close instead of before.

We create a figure with size (15, 10), then close it with plt.close(fig) after showing the plot with plt.show() to save memory.