Customizing Seaborn plots with Matplotlib - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

What is the output of this Seaborn plot customization code?

Consider the following Python code using Seaborn and Matplotlib:

import seaborn as sns
import matplotlib.pyplot as plt

sns.set_theme(style="darkgrid")
data = sns.load_dataset("tips")
plot = sns.scatterplot(x="total_bill", y="tip", data=data)
plot.set_title("Total Bill vs Tip")
plot.set_xlabel("Bill Amount")
plot.set_ylabel("Tip Amount")
plt.show()

What will be the title of the plot?

Matplotlib

import seaborn as sns
import matplotlib.pyplot as plt

sns.set_theme(style="darkgrid")
data = sns.load_dataset("tips")
plot = sns.scatterplot(x="total_bill", y="tip", data=data)
plot.set_title("Total Bill vs Tip")
plot.set_xlabel("Bill Amount")
plot.set_ylabel("Tip Amount")
plt.show()

A Total Bill vs Tip

B Bill Amount vs Tip Amount

C Scatterplot of Tips

D No title will be shown

💡 Hint

Look at the set_title method call on the plot object.

The set_title method sets the plot's title to the string provided. Here, it is set to "Total Bill vs Tip".

❓ data_output

intermediate

How many ticks will be on the x-axis after this customization?

Given this code snippet:

import seaborn as sns
import matplotlib.pyplot as plt

sns.set_theme()
data = sns.load_dataset("iris")
plot = sns.boxplot(x="species", y="sepal_length", data=data)
plot.set_xticks([0, 1, 2])
plt.show()

How many tick labels will appear on the x-axis?

Matplotlib

import seaborn as sns
import matplotlib.pyplot as plt

sns.set_theme()
data = sns.load_dataset("iris")
plot = sns.boxplot(x="species", y="sepal_length", data=data)
plot.set_xticks([0, 1, 2])
plt.show()

A 1

B 4

C 0

D 3

💡 Hint

Check the list passed to set_xticks.

The set_xticks method sets the positions of ticks on the x-axis. Here, three positions are set: 0, 1, and 2.

❓ visualization

advanced

Which option produces a Seaborn line plot with a red dashed line?

Which code snippet will produce a Seaborn line plot with the line colored red and dashed?

A sns.lineplot(x=[1,2,3], y=[4,5,6], style='--', color='red')

B sns.lineplot(x=[1,2,3], y=[4,5,6], linestyle='--', color='red')

C sns.lineplot(x=[1,2,3], y=[4,5,6], line_style='dashed', color='red')

D sns.lineplot(x=[1,2,3], y=[4,5,6], linestyle='dotted', color='red')

💡 Hint

Check the correct parameter name for line style in Seaborn.

The correct parameter to set line style is linestyle. Option B uses linestyle='--' which means dashed line. Other options use incorrect parameter names or styles.

🔧 Debug

advanced

What error does this code raise when customizing a Seaborn plot?

Examine this code:

import seaborn as sns
import matplotlib.pyplot as plt

data = sns.load_dataset("diamonds")
plot = sns.histplot(data["carat"])
plot.set_xlabel("Carat Weight")
plot.set_ylabel("Frequency")
plot.set_title("Carat Distribution")
plot.set_xticks([0.5, 1.0, 1.5, 2.0])
plt.show()

What error will this code raise?

Matplotlib

import seaborn as sns
import matplotlib.pyplot as plt

data = sns.load_dataset("diamonds")
plot = sns.histplot(data["carat"])
plot.set_xlabel("Carat Weight")
plot.set_ylabel("Frequency")
plot.set_title("Carat Distribution")
plot.set_xticks([0.5, 1.0, 1.5, 2.0])
plt.show()

A No error, plot displays correctly

B TypeError: set_xticks() argument must be a list of integers

C AttributeError: 'AxesSubplot' object has no attribute 'set_xticks'

D ValueError: Invalid tick positions

💡 Hint

Check if set_xticks is a valid method for the plot object.

The plot object is a Matplotlib AxesSubplot, which supports set_xticks with float values. So no error occurs.

🚀 Application

expert

After customizing a Seaborn barplot, what is the color of the bars?

Given this code:

import seaborn as sns
import matplotlib.pyplot as plt

sns.set_theme(style="whitegrid")
data = sns.load_dataset("penguins")
plot = sns.barplot(x="species", y="flipper_length_mm", data=data, color="skyblue")
for bar in plot.patches:
    bar.set_facecolor("orange")
plt.show()

What color will the bars appear in the final plot?

Matplotlib

import seaborn as sns
import matplotlib.pyplot as plt

sns.set_theme(style="whitegrid")
data = sns.load_dataset("penguins")
plot = sns.barplot(x="species", y="flipper_length_mm", data=data, color="skyblue")
for bar in plot.patches:
    bar.set_facecolor("orange")
plt.show()

A Green

B Skyblue

C Orange

D Default Seaborn color

💡 Hint

Consider the effect of the loop changing bar face colors after initial color setting.

The bars are first colored skyblue by the color parameter, but then each bar's face color is changed to orange in the loop, so the final color is orange.