Using the lifelines library, you can easily plot Kaplan-Meier plots, e.g. as seen in our previous post Minimal Python Kaplan-Meier Plot example:
from lifelines.datasets import load_leukemia from lifelines import KaplanMeierFitter df = load_leukemia() kmf = KaplanMeierFitter() kmf.fit(df['t'], df['Rx']) # t = Timepoints, Rx: 0=censored, 1=event kmf.plot()
What if you just want to show the dark blue curve and hide the light-blue confidence interval?
Easy: Just use km.plot(ci_show=False). ci in ci_show means confidence interval. Example:
from lifelines.datasets import load_leukemia from lifelines import KaplanMeierFitter df = load_leukemia() kmf = KaplanMeierFitter() kmf.fit(df['t'], df['Rx']) # t = Timepoints, Rx: 0=censored, 1=event kmf.plot(ci_show=False)
