def smoothed_hazard_(self, bandwidth):
        timeline = self.timeline
        cumulative_hazard_name = self.cumulative_hazard_.columns[0]
        hazard_name = "differenced-" + cumulative_hazard_name
        hazard_ = self.cumulative_hazard_.diff().fillna(self.cumulative_hazard_.iloc[0])
        C = (hazard_[cumulative_hazard_name] != 0.0).values
        return pd.DataFrame(1. / bandwidth * np.dot(epanechnikov_kernel(timeline[:, None], timeline[C][None, :], bandwidth), hazard_.values[C, :]),
                            columns=[hazard_name], index=timeline)
Parameters:
dataset/ETHPy150Open CamDavidsonPilon/lifelines/lifelines/fitters/nelson_aalen_fitter.py/NelsonAalenFitter.smoothed_hazard_