Treemap Charts in Python

How to make Treemap Charts with Plotly

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Treemap charts visualize hierarchical data using nested rectangles. The input data format is the same as for Sunburst Charts and Icicle Charts: the hierarchy is defined by labels (names for px.treemap) and parents attributes. Click on one sector to zoom in/out, which also displays a pathbar in the upper-left corner of your treemap. To zoom out you can use the path bar as well.

Basic Treemap with plotly.express¶

Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures.

With px.treemap, each row of the DataFrame is represented as a sector of the treemap.

In [1]:

import plotly.express as px
fig = px.treemap(
    names = ["Eve","Cain", "Seth", "Enos", "Noam", "Abel", "Awan", "Enoch", "Azura"],
    parents = ["", "Eve", "Eve", "Seth", "Seth", "Eve", "Eve", "Awan", "Eve"]
)
fig.update_traces(root_color="lightgrey")
fig.update_layout(margin = dict(t=50, l=25, r=25, b=25))
fig.show()

Treemap of a rectangular DataFrame with plotly.express¶

Hierarchical data are often stored as a rectangular dataframe, with different columns corresponding to different levels of the hierarchy. px.treemap can take a path parameter corresponding to a list of columns. Note that id and parent should not be provided if path is given.

In [2]:

import plotly.express