LaTeX integration for papers in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to enable LaTeX rendering in matplotlib plots.

Matplotlib

import matplotlib.pyplot as plt
plt.rcParams['text.[1]'] = True
plt.plot([1, 2, 3], [1, 4, 9])
plt.title(r'$y = x^2$')
plt.show()

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

Ausetex

Blatex

Cmathtext

Dtextmode

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'text.latex' instead of 'text.usetex'.

Forgetting to set the parameter to True.

Trying to use 'mathtext' which is different from full LaTeX rendering.

Setting plt.rcParams['text.usetex'] = True tells matplotlib to use LaTeX for rendering text.

2fill in blank

medium

Complete the code to set the font family to 'serif' for LaTeX text in matplotlib.

Matplotlib

import matplotlib.pyplot as plt
plt.rcParams['font.[1]'] = 'serif'
plt.rcParams['text.usetex'] = True
plt.title(r'$\alpha + \beta = \gamma$')
plt.show()

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

Astyle

Bvariant

Cweight

Dfamily

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'font.style' which controls italic or normal style.

Using 'font.weight' which controls boldness.

Using 'font.variant' which is less common.

Setting plt.rcParams['font.family'] = 'serif' changes the font family to serif for LaTeX text.

3fill in blank

hard

Fix the error in the code to correctly display LaTeX math in the plot label.

Matplotlib

import matplotlib.pyplot as plt
plt.rcParams['text.usetex'] = True
plt.plot([1, 2, 3], [1, 4, 9])
plt.xlabel('$x^2$')
plt.ylabel(r'$[1]$')
plt.show()

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

A\sqrt{x}

Bsqrt{x}

C\frac{1}{x}

Dfrac{1}{x}

Attempts:

3 left

💡 Hint

Common Mistakes

Omitting the backslash before LaTeX commands.

Not using raw strings when needed.

Using incomplete LaTeX syntax.

LaTeX commands require a backslash. So \sqrt{x} is correct, while missing backslash causes errors.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths only if length is greater than 3.

Matplotlib

words = ['data', 'science', 'ai', 'ml']
lengths = { [1] : len([2]) for word in words if len(word) > 3 }

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Aword

Bwords

Ddata

Attempts:

3 left

💡 Hint

Common Mistakes

Using the list name 'words' instead of the loop variable.

Using a fixed string like 'data' instead of the variable.

Mixing key and value variables.

The dictionary comprehension uses word as key and len(word) as value.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their lengths if length is greater than 2.

Matplotlib

words = ['cat', 'dog', 'a', 'elephant']
result = { [1] : [2] for word in words if len(word) [3] 2 }

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Aword.upper()

Blen(word)

C>

Dword.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase instead of uppercase for keys.

Using wrong comparison operators.

Mixing up key and value expressions.

The comprehension maps word.upper() to len(word) for words longer than 2 characters.