Inline display in Jupyter notebooks in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to enable inline plotting in a Jupyter notebook.

Matplotlib

%[1] matplotlib inline

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

Amatplotlib

Bmatplotlib.pyplot

Cmatplotlib_inline

Dmatplotlib_inline.backend_inline

Attempts:

3 left

💡 Hint

Common Mistakes

Using '%matplotlib.pyplot inline' which is invalid.

Forgetting the % sign before the command.

Using '%matplotlib_inline' which is not a valid magic command.

The magic command %matplotlib inline enables plots to be shown inside the notebook.

2fill in blank

medium

Complete the code to import the plotting library commonly used with inline display.

Matplotlib

import [1] as plt

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

Amatplotlib.pyplot

Bnumpy

Cpandas

Dseaborn

Attempts:

3 left

💡 Hint

Common Mistakes

Importing numpy instead of matplotlib.pyplot.

Importing pandas which is for data manipulation, not plotting.

Importing seaborn without matplotlib.pyplot.

matplotlib.pyplot is the module used for plotting in Python and is commonly imported as plt.

3fill in blank

hard

Fix the error in the code to display a simple plot inline.

Matplotlib

plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]()

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

Aplot

Bdisplay

Cshow

Ddraw

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.display() which is not a valid function.

Using plt.plot() again instead of plt.show().

Using plt.draw() which is less common and may not display inline.

The plt.show() function displays the plot in the output cell.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps numbers to their squares and filters for squares greater than 10.

Matplotlib

{x: x[1]2 for x in range(1, 6) if x[2]2 > 10}

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

A**

B%

C*

D+

Attempts:

3 left

💡 Hint

Common Mistakes

Using '%' instead of '**' for power.

Using '+' instead of '*' in the condition.

Mixing up operators causing wrong filtering.

The operator ** is used for exponentiation (power), and * is multiplication. The condition checks if the square (x * 2) is greater than 10.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their lengths, filtering words longer than 3 characters.

Matplotlib

{ [1]: [2] for word in words if len(word) [3] 3 }

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

Aword.upper()

Blen(word)

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'word' instead of 'word.upper()' for keys.

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

Using 'word' instead of 'len(word)' for values.

The dictionary keys are uppercase words (word.upper()), values are their lengths (len(word)), and the filter keeps words longer than 3 characters (> 3).