Customizing boxplots appearance with Seaborn


This post aims to describe 3 different customization tasks that you may want to apply to a Seaborn boxplot.

Custom linewidth

Customizing your boxplot's linewidth is really straightforward and quickly done through the 'linewidth' argument.

# libraries & dataset
import seaborn as sns
import matplotlib.pyplot as plt
# set a grey background (use sns.set_theme() if seaborn version 0.11.0 or above) 
sns.set(style="darkgrid")
df = sns.load_dataset('iris')

sns.boxplot(x=df["species"], y=df["sepal_length"], linewidth=5)
plt.show()

Add notch

# libraries & dataset
import seaborn as sns
import matplotlib.pyplot as plt
# set a grey background (use sns.set_theme() if seaborn version 0.11.0 or above) 
sns.set(style="darkgrid")
df = sns.load_dataset('iris')

sns.boxplot(x=df["species"], y=df["sepal_length"], notch=True)
plt.show()

Controlling box size

This can be an interesting modification in the case where you are facing with multiple categories to display in the same figure, given that space is limited.

# libraries & dataset
import seaborn as sns
import matplotlib.pyplot as plt
# set a grey background (use sns.set_theme() if seaborn version 0.11.0 or above) 
sns.set(style="darkgrid")
df = sns.load_dataset('iris')

sns.boxplot(x=df["species"], y=df["sepal_length"], width=0.3)
plt.show()

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