Seaborn style with Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to apply the seaborn style to Matplotlib plots.

Matplotlib

import matplotlib.pyplot as plt
plt.style.use('[1]')
plt.plot([1, 2, 3], [4, 5, 6])
plt.show()

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Aggplot

Bclassic

Cseaborn

Dbmh

Attempts:

3 left

💡 Hint

Common Mistakes

Using a style name that is not installed or recognized.

Forgetting to import matplotlib.pyplot as plt.

The plt.style.use function applies a style to Matplotlib plots. Using "seaborn" applies the seaborn style.

2fill in blank

medium

Complete the code to create a scatter plot with seaborn style applied.

Matplotlib

import matplotlib.pyplot as plt
plt.style.use('seaborn')
x = [1, 2, 3, 4]
y = [10, 20, 25, 30]
plt.[1](x, y)
plt.show()

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Ascatter

Bbar

Chist

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.plot which creates a line plot instead of scatter.

Using plt.bar which creates bar charts.

The scatter function creates a scatter plot, which shows points for x and y values.

3fill in blank

hard

Fix the error in the code to correctly apply seaborn style and plot a histogram.

Matplotlib

import matplotlib.pyplot as plt
plt.style.use('seaborn')
data = [1, 2, 2, 3, 3, 3, 4]
plt.hist(data, bins=[1])
plt.show()

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A5

B'5'

C'bins=5'

Dbins

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the number of bins as a string instead of an integer.

Passing the parameter name as a string inside the function call.

The bins parameter expects an integer number of bins, not a string or keyword as a string.

4fill in blank

hard

Fill both blanks to create a line plot with seaborn style and add a grid.

Matplotlib

import matplotlib.pyplot as plt
plt.style.use('[1]')
plt.plot([1, 2, 3], [3, 2, 1])
plt.[2](True)
plt.show()

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Aseaborn

Bclassic

Cgrid

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong style name.

Forgetting to enable the grid with plt.grid(True).

Use "seaborn" style for the plot and plt.grid(True) to show the grid lines.

5fill in blank

hard

Fill all three blanks to create a seaborn style bar chart with labels.

Matplotlib

import matplotlib.pyplot as plt
plt.style.use('[1]')
categories = ['A', 'B', 'C']
values = [5, 7, 3]
plt.bar(categories, values)
plt.xlabel('[2]')
plt.ylabel('[3]')
plt.show()

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Aseaborn

BCategory

CValue

Dclassic

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong style name.

Leaving axis labels empty or unclear.

Use "seaborn" style, label x-axis as "Category" and y-axis as "Value" for clarity.