0
0
Matplotlibdata~10 mins

Agg backend for speed in Matplotlib - Interactive Code Practice

Choose your learning style9 modes available
Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to set the Agg backend in matplotlib for faster rendering.

Matplotlib
import matplotlib
matplotlib.use('[1]')
Drag options to blanks, or click blank then click option'
AQt5Agg
BAgg
CTkAgg
DWebAgg
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing an interactive backend like TkAgg or Qt5Agg which are slower.
Using WebAgg which is for web-based interactive plots.
2fill in blank
medium

Complete the code to save a plot as a PNG file using the Agg backend.

Matplotlib
import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.savefig('[1]')
Drag options to blanks, or click blank then click option'
Aplot.pdf
Bplot.svg
Cplot.png
Dplot.jpg
Attempts:
3 left
💡 Hint
Common Mistakes
Saving as SVG or PDF which are vector formats and not rendered by Agg.
Using JPG which is less common for matplotlib default.
3fill in blank
hard

Fix the error in the code to correctly set the Agg backend before importing pyplot.

Matplotlib
import matplotlib
matplotlib.use('[1]')
import matplotlib.pyplot as plt
plt.plot([1, 2], [3, 4])
Drag options to blanks, or click blank then click option'
AWebAgg
BTkAgg
CQt5Agg
DAgg
Attempts:
3 left
💡 Hint
Common Mistakes
Setting backend after importing pyplot causes errors.
Using interactive backends instead of Agg.
4fill in blank
hard

Fill both blanks to create a figure and save it using the Agg backend.

Matplotlib
import matplotlib
matplotlib.use('[1]')
import matplotlib.pyplot as plt
fig = plt.[2]()
fig.savefig('output.png')
Drag options to blanks, or click blank then click option'
AAgg
BTkAgg
Cfigure
DFigure
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'Figure' (uppercase) which is not a valid pyplot method.
Choosing an interactive backend like TkAgg.
5fill in blank
hard

Fill all three blanks to set the Agg backend, create a plot, and save it as a PNG file.

Matplotlib
import matplotlib
matplotlib.use('[1]')
import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[2]('[3]')
Drag options to blanks, or click blank then click option'
ATkAgg
Bsavefig
Cplot.png
DAgg
Attempts:
3 left
💡 Hint
Common Mistakes
Setting backend after importing pyplot.
Using wrong filename extension.
Using wrong method to save the plot.