Ridgeline plot

Last updated 2020-02-26 Read time 1 min

Charts used to visualize the distribution of multiple groups and their differences. Since the chart of distribution is superimposed, it is easy to visualize slight differences in distribution and differences/changes in the position of the vertices for each group.

ridgeplot: beautiful ridgeline plots in Python

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import numpy as np
import seaborn as sns
from ridgeplot import ridgeplot

# List of columns to be visualized
columns = ["sepal_length", "sepal_width", "petal_length", "petal_width"]

# Sample data
df = sns.load_dataset("iris")
df = df[columns]

# ridgeline plot
fig = ridgeplot(
samples=df.values.T, labels=columns, colorscale="viridis", coloralpha=0.6
)
fig.update_layout(height=500, width=800)
fig.show()

Ridgeline plot !

Violin Plot — Show distribution shape with box plot + KDE
Density Plot — Visualize distribution with a smooth curve
Box Plot — Compare median, quartiles, and outliers

Density Plot — understanding this concept first will make learning smoother