Custom seaborn violinplot


You can custom some features of seaborn violinplots. Here are two examples showing how to change the linewidth and the general width of each group.

Change line width

Depending on visual preferences, you may want to accentuate the distribution contour. This can be performed by setting the value of the 'linewidth' parameter.

# 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')
 
# Change line width
sns.violinplot(x=df["species"], y=df["sepal_length"], linewidth=5)
plt.show()

Change the general width

In the case where you have multiple distributions to display on the same graph and you want to be sure that they do not overlap, you can also change the 'width' parameter.

# 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')

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

Violin

Density

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