Bar Charts

Ordinary bar charts can be generated using the fig_bar_chart() function, which returns a Plotly Go Figure object.

The plot below was generated using a synthetic dataset of cumulative patient enrolment data for a clinical site.

The dataset is given below as a table (but can also be loaded from the static examples/csv/bar.csv file).

Cumulative patient enrolment at a clinical site between January and June, 2026

Month-Year	Cumultative Patient Enrolment
January 2026	2
February 2026	10
March 2026	60
April 2026	80
May 2026	95
June 2026	100

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

import pandas as pd
from isaricanalytics.visualisation import fig_bar_chart

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

# Create and display the figure
fig = fig_bar_chart(
    data,
    title="Bar Chart of Cumulative Patient Enrolment",
    xlabel="Month-Year",
    ylabel="Cumulative Patients Enrolled",
    index_column="month_year"
)
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.