Matplotlib backend selection - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the matplotlib pyplot module.

Matplotlib

import matplotlib.[1] as plt

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

Aplot

Bpyplot

Ccharts

Dgraph

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'plot' instead of 'pyplot' causes import errors.

Trying to import 'charts' or 'graph' which do not exist in matplotlib.

The pyplot module is the standard way to create plots in matplotlib.

2fill in blank

medium

Complete the code to set the matplotlib backend to 'Agg' for non-GUI environments.

Matplotlib

import matplotlib
matplotlib.use('[1]')

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

AAgg

BQt5Agg

CTkAgg

DGTK3Agg

Attempts:

3 left

💡 Hint

Common Mistakes

Using GUI backends like 'TkAgg' on headless servers causes errors.

Misspelling the backend name.

The 'Agg' backend is used for writing to files without requiring a display.

3fill in blank

hard

Complete the code to correctly switch the backend before importing pyplot.

Matplotlib

import matplotlib
matplotlib.use('[1]')
import matplotlib.pyplot as plt

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

AGTK3Agg

BTkAgg

CQt5Agg

DAgg

Attempts:

3 left

💡 Hint

Common Mistakes

Setting backend after importing pyplot causes runtime errors.

Not importing matplotlib before setting backend.

The backend must be set before importing pyplot. Use 'Agg' for non-GUI environments.

4fill in blank

hard

Fill both blanks to set the backend to 'TkAgg' and then import pyplot.

Matplotlib

import matplotlib
matplotlib.use('[1]')
import matplotlib.[2] as plt

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

ATkAgg

BAgg

Cpyplot

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Importing 'plot' instead of 'pyplot'.

Setting backend after importing pyplot.

First, set the backend to 'TkAgg' for GUI support, then import the 'pyplot' module as plt.

5fill in blank

hard

Fill all three blanks to create a plot using the 'Agg' backend and save it to a file.

Matplotlib

import matplotlib
matplotlib.use('[1]')
import matplotlib.[2] as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[3]('output.png')

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

AAgg

Bpyplot

Csavefig

Dshow

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'show' instead of 'savefig' when no GUI is available.

Importing 'plot' instead of 'pyplot'.

Use the 'Agg' backend for file output, import 'pyplot', then use savefig to save the plot as an image file.