Figure and Axes mental model in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a figure and a single axes using matplotlib.

Matplotlib

import matplotlib.pyplot as plt
fig, ax = plt.[1]()

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

Aplot

Bfigure

Cshow

Dsubplots

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.figure() which only creates a figure without axes.

Using plt.plot() which is for plotting data, not creating figure or axes.

The plt.subplots() function creates a figure and axes together.

2fill in blank

medium

Complete the code to set the title of the axes to 'My Plot'.

Matplotlib

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.[1]('My Plot')

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

Aset_title

Bset_xlabel

Ctitle

Dshow

Attempts:

3 left

💡 Hint

Common Mistakes

Using title() which is a pyplot function, not an axes method.

Using show() which displays the plot.

The set_title() method sets the title of the axes.

3fill in blank

hard

Fix the error in the code to plot a line on the axes.

Matplotlib

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.[1]([1, 2, 3], [4, 5, 6])
plt.show()

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

Ashow

Bscatter

Cplot

Dfigure

Attempts:

3 left

💡 Hint

Common Mistakes

Using show() as a method on axes which causes error.

Using figure() which creates a new figure, not plotting.

The plot() method draws a line plot on the axes.

4fill in blank

hard

Fill both blanks to create a figure with 2 rows and 1 column of axes.

Matplotlib

import matplotlib.pyplot as plt
fig, ax = plt.subplots([1], [2])

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

A2

B1

C3

D4

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping rows and columns.

Using more than 2 rows or columns when only 2x1 is needed.

The arguments to plt.subplots() specify rows and columns of axes.

5fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each axes to its index if the index is greater than 0.

Matplotlib

axes_dict = {ax:: i[1] i in range(3) if i [2] 0}

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

As

Bfor

C>

D:

Attempts:

3 left

💡 Hint

Common Mistakes

Using 's' instead of colon for key-value separator.

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

This dictionary comprehension uses ax: i for i in range(3) if i > 0 syntax.