Module auton_survival.reporting
Functions
def plot_kaplanmeier(outcomes, groups=None, plot_counts=False, **kwargs)

Plot a KaplanMeier Survival Estimator stratified by groups.
Parameters
outcomes
:pandas.DataFrame
 a pandas dataframe containing the survival outcomes. The index of the
 dataframe should be the same as the index of the features dataframe.
 Should contain a column named 'time' that contains the survival time and
 a column named 'event' that contains the censoring status.
 \delta_i = 1 if the event is observed.
groups
:pandas.Series
 a pandas series containing the groups to stratify the KaplanMeier
 estimates by.
plot_counts
:bool
if True, plot the number of at risk and censored individuals in each group.
def plot_nelsonaalen(outcomes, groups=None, **kwargs)

Plot a NelsonAalen Survival Estimator stratified by groups.
Parameters
outcomes
:pandas.DataFrame
 a pandas dataframe containing the survival outcomes. The index of the
 dataframe should be the same as the index of the features dataframe.
 Should contain a column named 'time' that contains the survival time and
 a column named 'event' that contains the censoring status.
 \delta_i = 1 if the event is observed.
groups
:pandas.Series
a pandas series containing the groups to stratify the KaplanMeier estimates by.