Sunburst Plots

Sunburst plots, also known as ring charts, can be generated using the fig_sunburst() function, which returns a Plotly Go Figure object.

The plot below was generated using a synthetic dataset of patient enrolment data organised by site and country.

The dataset is given below as a table (but can also be loaded from the docs/sources/plot-gallery/examples/csv/sunburst.csv file).

Patient enrolment at clinical sites by country and site

Site ID	Country	Patient Enrolment Count
0	COL	21
2	COL	25
3	GBR	199
5	CAN	31
6	BRA	156
7	BRA	27
8	BRA	8
9	FRA	174
10	POL	89
11	POL	30
13	RWA	121
14	KEN	1
15	KEN	15
16	KEN	1
18	NLD	102

Here are the Python steps you need to generate the plot using the fig_sunburst() function:

import pandas as pd
from isaricanalytics.visualisation import fig_sunburst

# Load the CSV
data = pd.read_csv("./csv/sunburst.csv")

# Create and display the figure
fig = fig_sunburst(
    data,
    title="Sunburst Plot of Synthetic Patient Enrolment Data Organised by Site and Country",
    path=["Country", "Site"],
    values="SubjectID",
)
fig.update_layout(autosize=True)
fig

Note

Any dataframe or CSV column names, or dictionary field labels, in the example above that are not specific to the dataset must be as given, otherwise the function may throw an exception or return an incorrect figure.

The figure height and width parameters can be set using the height and width parameters, but it may be more convenient to let Plotly handle this using the figure layout autosize parameter. Refer to the fig_sunburst() function docstring for more information.