Dash component built with React to render Kaplan–Meier survival curves with enhanced interactivity and styling options. This component is ideal for visualizing survival analysis data directly within Dash applications.
- Plot Kaplan–Meier survival curves from preprocessed data.
- Support for multiple curves with different group labels.
- Interactive tooltips and hover effects.
- Customizable colors and dimensions.
- Fully integrated with Dash callback system.
pip install dash-kaplan-meierpip install dash
pip install lifelinesHere’s how to use the DashKaplanMeier component in your Dash app:
import dash
from dash import html, Dash
import dash_kaplan_meier as dkm
from dash_kaplan_meier.survival_stats import compute_survival_stats
# Example data
time = [your time values list here]
event = [your event values list here]
group = [you rgroup values list here]
# Compute statistics
stats = compute_survival_stats(time ,event, group)
# Dash app
app = Dash()
# Dash app layout with DashKaplanMeier component
app.layout = html.Div([
dkm.DashKaplanMeier(
id = 'km-example',
time = time,
event = event,
group = group,
showCIs = True,
colors = ['blue', 'green', 'red'],
showStatistics = True,
logrankP = stats["logrank_p"],
coxP = stats["cox_p"],
hazardRatio = stats["hazard_ratio"],
layout ={ 'title': 'Kaplan-Meier Survival Curve Example',
"xaxis": {"title": {"text": "Time (months)"}},
"yaxis": {"title": {"text": "Survival Probability"}}},
title = "Kaplan-Meier curves",
config = {'responsive': True}
)
])
if __name__ == '__main__':
app.run(debug=True)
See CONTRIBUTING.md
MIT License. See LICENSE file for details.