Violin plot with plt.violinplot in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a violin plot of the data list.

Matplotlib

import matplotlib.pyplot as plt

data = [1, 2, 3, 4, 5, 6, 7]
plt.[1](data)
plt.show()

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

Aviolinplot

Bboxplot

Chist

Dscatter

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.boxplot instead of plt.violinplot.

Using plt.hist which creates a histogram, not a violin plot.

The plt.violinplot() function creates a violin plot, which shows the distribution of the data.

2fill in blank

medium

Complete the code to add a title to the violin plot.

Matplotlib

import matplotlib.pyplot as plt

data = [5, 10, 15, 20, 25]
plt.violinplot(data)
plt.[1]('My Violin Plot')
plt.show()

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

Axlabel

Btitle

Clegend

Dylabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.xlabel or plt.ylabel instead of plt.title.

Trying to add a legend when there is only one data set.

The plt.title() function adds a title to the plot.

3fill in blank

hard

Fix the error in the code to correctly plot multiple violin plots for two data sets.

Matplotlib

import matplotlib.pyplot as plt

data1 = [1, 2, 3, 4, 5]
data2 = [2, 3, 4, 5, 6]
plt.violinplot([1])
plt.show()

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

A[data1, data2]

Bdata1, data2

Cdata1 + data2

D[data1]

Attempts:

3 left

💡 Hint

Common Mistakes

Passing data1 and data2 as separate arguments instead of a list.

Concatenating the lists which merges data instead of plotting separately.

To plot multiple violin plots, the data must be passed as a list of lists, like [data1, data2].

4fill in blank

hard

Fill both blanks to create a violin plot with custom positions and show the plot.

Matplotlib

import matplotlib.pyplot as plt

data = [[1, 2, 3], [4, 5, 6]]
plt.violinplot(data, positions=[1])
plt.[2]()

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

A[1, 2]

Bshow

Cplot

D[0, 1]

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect positions that don't match data sets.

Forgetting to call plt.show() to display the plot.

The positions argument sets where the violins appear on the x-axis. plt.show() displays the plot.

5fill in blank

hard

Fill all three blanks to create a violin plot with custom widths, show means, and display the plot.

Matplotlib

import matplotlib.pyplot as plt

data = [3, 5, 7, 9, 11]
plt.violinplot(data, widths=[1], showmeans=[2])
plt.[3]()

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

A0.5

BTrue

Cshow

DFalse

Attempts:

3 left

💡 Hint

Common Mistakes

Using showmeans=False which hides the mean marker.

Forgetting to call plt.show() to display the plot.

Using invalid width values like strings.

The widths argument controls the width of the violin plot. showmeans=True shows the mean marker. plt.show() displays the plot.