When to use Seaborn vs Matplotlib - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the Matplotlib plotting library.

Matplotlib

import [1] as plt

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

Apandas

Bseaborn

Cmatplotlib.pyplot

Dnumpy

Attempts:

3 left

💡 Hint

Common Mistakes

Importing seaborn instead of matplotlib.pyplot

Importing numpy or pandas which are not plotting libraries

Matplotlib's plotting functions are in the pyplot module, so we import matplotlib.pyplot as plt.

2fill in blank

medium

Complete the code to create a simple line plot using Matplotlib.

Matplotlib

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

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

Aplot

Bhist

Cscatter

Dbar

Attempts:

3 left

💡 Hint

Common Mistakes

Using scatter which creates scatter plots, not line plots

Using hist which creates histograms

Using bar which creates bar charts

The plot function creates line plots in Matplotlib.

3fill in blank

hard

Fix the error in the code to create a Seaborn scatter plot.

Matplotlib

sns.[1](data=df, x='age', y='income')

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

Ascatterplot

Blineplot

Chistplot

Dbarplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using lineplot which creates line charts

Using histplot which creates histograms

Using barplot which creates bar charts

Seaborn's function for scatter plots is scatterplot.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that filters words longer than 3 letters.

Matplotlib

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

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

Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as value instead of its length

Using less than symbol which filters shorter words

The dictionary stores the length of each word. We filter words with length greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase keys and values filtered by positive values.

Matplotlib

result = [1]: [2] for k, v in data.items() if v [3] 0}

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

Ak.upper()

Bv

C>

Dk

Attempts:

3 left

💡 Hint

Common Mistakes

Using original keys instead of uppercase

Filtering values less than zero

Swapping keys and values

Keys are converted to uppercase with k.upper(). Values are v. We keep only positive values using >.