Source code for autofit.non_linear.search.mcmc.zeus.plotter

from autofit.plot.samples_plotters import MCMCPlotter


class ZeusPlotter(MCMCPlotter):

    def corner(self, **kwargs):

        import zeus

        try:
            zeus.cornerplot(
                samples=self.samples.search_internal.get_chain(flat=True),
                weight_list=self.samples.weight_list,
                labels=self.model.parameter_labels_with_superscripts_latex,
                **kwargs
            )
        except TypeError:
            pass

        self.output.to_figure(structure=None, auto_filename="corner")

    def trajectories(self, **kwargs):

        self._plot_trajectories(
            samples=self.samples.search_internal.get_chain(),
            log_posterior_list=self.samples.search_internal.get_log_prob(),
            **kwargs
        )

    def likelihood_series(self, **kwargs):

        self._plot_likelihood_series(
            log_posterior_list = self.samples.search_internal.get_log_prob()
        )

    def time_series(self, **kwargs):

        self._plot_time_series(
            samples=self.samples.search_internal.get_chain()
        )