import greenwood as gw
lung = gw.load_dataset("lung", backend="polars")
y = gw.Surv.right(lung["time"], event=(lung["status"] == 2))
km = gw.KaplanMeier().fit(y, by=lung["sex"])
gw.viz.altair.risk_table(km, times=[0, 250, 500, 750, 1000])risk_table()
Return the numbers-at-risk table as a standalone Altair chart.
Usage
risk_table(
km,
times=None,
)