Rasterization for complex plots in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to enable rasterization for a scatter plot in matplotlib.

Matplotlib

import matplotlib.pyplot as plt
x = range(1000)
y = [i**0.5 for i in x]
plt.scatter(x, y, rasterized=[1])
plt.show()

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

AFalse

BTrue

CNone

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using False disables rasterization, so the plot remains vector.

Using None or 0 does not enable rasterization.

Setting rasterized=True tells matplotlib to rasterize the scatter plot, which helps with large datasets.

2fill in blank

medium

Complete the code to rasterize only the line plot, not the entire figure.

Matplotlib

fig, ax = plt.subplots()
line, = ax.plot([1, 2, 3], [4, 5, 6], [1]=True)
plt.show()

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

Arasterize_plot

Brasterize

Crasterized

Draster

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'rasterize' instead of 'rasterized' causes an error.

Using non-existent properties like 'raster' or 'rasterize_plot'.

The correct property to enable rasterization on a plot element is rasterized.

3fill in blank

hard

Fix the error in the code to rasterize a scatter plot with many points.

Matplotlib

fig, ax = plt.subplots()
ax.scatter(range(10000), range(10000), rasterized=[1])
plt.savefig('plot.pdf')

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

A1

BFalse

C'True'

DTrue

Attempts:

3 left

💡 Hint

Common Mistakes

Passing 'True' as a string instead of boolean True.

Passing 1 instead of True.

The rasterized parameter expects a boolean value, so use True without quotes.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that rasterizes scatter plots only for points where y is greater than 50.

Matplotlib

plots = {x: ax.scatter(x, y, [1]=True) for x, y in data.items() if y [2] 50}

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

Arasterized

B>

C<

Drasterize

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'rasterize' instead of 'rasterized'.

Using '<' instead of '>' in the condition.

Use rasterized=True to enable rasterization and > to filter points where y is greater than 50.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that rasterizes bar plots for labels where the length of the label is less than 5.

Matplotlib

plots = {label[1]: ax.bar(label, value, [2]=True) for label, value in data.items() if len(label) [3] 5}

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

A.upper()

Brasterized

C<

D.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using .lower() instead of .upper() for keys.

Using '>' instead of '<' in the length condition.

Forgetting to set rasterized=True.

Use .upper() to convert labels to uppercase keys, rasterized=True to enable rasterization, and < to filter labels shorter than 5 characters.