How to use autogalaxy - 10 common examples

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def normalized_residual_map(fit, include=None, plotter=None):
    """Plot the residual-map of a lens fit.

    Set *autolens.datas.array.plotters.plotters* for a description of all input parameters not described below.

    Parameters
    -----------
    fit : datas.fitting.fitting.AbstractFitter
        The fit to the datas, which include a list of every model image, normalized_residual_map, chi-squareds, etc.
    image_index : int
        The index of the datas in the datas-set of which the normalized_residual_map are plotted.
    """
    plotter.plot_array(
        array=fit.normalized_residual_map,
        mask=include.mask_from_fit(fit=fit),

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def chi_squared_map(fit, include=None, plotter=None):
    """Plot the chi-squared map of a lens fit.

    Set *autolens.datas.array.plotters.plotters* for a description of all input parameters not described below.

    Parameters
    -----------
    fit : datas.fitting.fitting.AbstractFitter
        The fit to the datas, which include a list of every model image, residual_map, chi-squareds, etc.
    image_index : int
        The index of the datas in the datas-set of which the chi-squareds are plotted.
    """
    plotter.plot_array(
        array=fit.chi_squared_map,
        mask=include.mask_from_fit(fit=fit),

mass_profile_centres=self.include.mass_profile_centres_from_obj(
                        obj=fit.tracer.image_plane
                    ),
                    critical_curves=self.include.critical_curves_from_obj(
                        obj=fit.tracer
                    ),
                    caustics=self.include.caustics_from_obj(obj=fit.tracer),
                    include=self.include,
                    sub_plotter=self.sub_plotter,
                )

            plotter = self.plotter.plotter_with_new_output(
                path=self.plotter.output.path + "inversion/"
            )

            inversion_plots.individuals(
                inversion=fit.inversion,
                image_positions=self.include.positions_from_fit(fit=fit),
                source_positions=self.include.positions_of_plane_from_fit_and_plane_index(
                    fit=fit, plane_index=-1
                ),
                grid=self.include.inversion_image_pixelization_grid_from_fit(fit=fit),
                light_profile_centres=self.include.light_profile_centres_from_obj(
                    obj=fit.tracer.image_plane
                ),
                mass_profile_centres=self.include.mass_profile_centres_from_obj(
                    obj=fit.tracer.image_plane
                ),
                critical_curves=self.include.critical_curves_from_obj(obj=fit.tracer),
                caustics=self.include.caustics_from_obj(obj=fit.tracer),
                plot_reconstructed_image=self.plot_inversion_reconstruction,
                plot_reconstruction=self.plot_inversion_reconstruction,

fit_interferometer_plots.individuals(
                    fit=fit,
                    plot_visibilities=True,
                    plot_noise_map=True,
                    plot_signal_to_noise_map=True,
                    plot_model_visibilities=True,
                    plot_residual_map=True,
                    plot_normalized_residual_map=True,
                    plot_chi_squared_map=True,
                    include=self.include,
                    plotter=fits_plotter,
                )

                if fit.inversion is not None:
                    inversion_plots.individuals(
                        inversion=fit.inversion,
                        image_positions=self.include.positions_from_fit(fit=fit),
                        source_positions=self.include.positions_of_plane_from_fit_and_plane_index(
                            fit=fit, plane_index=-1
                        ),
                        grid=self.include.inversion_image_pixelization_grid_from_fit(
                            fit=fit
                        ),
                        light_profile_centres=self.include.light_profile_centres_from_obj(
                            obj=fit.tracer.image_plane
                        ),
                        mass_profile_centres=self.include.mass_profile_centres_from_obj(
                            obj=fit.tracer.image_plane
                        ),
                        critical_curves=self.include.critical_curves_from_obj(
                            obj=fit.tracer

if self.plot_fit_all_at_end_png:
                fit_interferometer_plots.individuals(
                    fit=fit,
                    plot_visibilities=True,
                    plot_noise_map=True,
                    plot_signal_to_noise_map=True,
                    plot_model_visibilities=True,
                    plot_residual_map=True,
                    plot_normalized_residual_map=True,
                    plot_chi_squared_map=True,
                    include=self.include,
                    plotter=plotter,
                )

                if fit.inversion is not None:
                    inversion_plots.individuals(
                        inversion=fit.inversion,
                        image_positions=self.include.positions_from_fit(fit=fit),
                        source_positions=self.include.positions_of_plane_from_fit_and_plane_index(
                            fit=fit, plane_index=-1
                        ),
                        grid=self.include.inversion_image_pixelization_grid_from_fit(
                            fit=fit
                        ),
                        light_profile_centres=self.include.light_profile_centres_from_obj(
                            obj=fit.tracer.image_plane
                        ),
                        mass_profile_centres=self.include.mass_profile_centres_from_obj(
                            obj=fit.tracer.image_plane
                        ),
                        critical_curves=self.include.critical_curves_from_obj(
                            obj=fit.tracer

sub_plotter.setup_subplot(number_subplots=number_subplots, subplot_index=1)

    if fit.inversion is None:

        ray_tracing_plots.image(
            tracer=fit.tracer,
            grid=fit.masked_interferometer.grid,
            positions=include.positions_from_fit(fit=fit),
            include=include,
            plotter=sub_plotter,
        )

        sub_plotter.setup_subplot(number_subplots=number_subplots, subplot_index=2)

        ag.plot.Plane.plane_image(
            plane=fit.tracer.source_plane,
            grid=fit.masked_interferometer.grid,
            positions=include.positions_of_plane_from_fit_and_plane_index(
                fit=fit, plane_index=-1
            ),
            caustics=include.caustics_from_obj(obj=fit.tracer),
            plotter=sub_plotter,
        )

    elif fit.inversion is not None:

        ag.plot.Inversion.reconstructed_image(
            inversion=fit.inversion,
            light_profile_centres=include.light_profile_centres_from_obj(
                fit.tracer.image_plane
            ),

plot_signal_to_noise_map=self.plot_fit_signal_to_noise_map,
            plot_model_image=self.plot_fit_model_data,
            plot_residual_map=self.plot_fit_residual_map,
            plot_chi_squared_map=self.plot_fit_chi_squared_map,
            plot_normalized_residual_map=self.plot_fit_normalized_residual_map,
            plot_subtracted_images_of_planes=self.plot_fit_subtracted_images_of_planes,
            plot_model_images_of_planes=self.plot_fit_model_images_of_planes,
            plot_plane_images_of_planes=self.plot_fit_plane_images_of_planes,
            include=self.include,
            plotter=plotter,
        )

        if fit.inversion is not None:

            if self.plot_subplot_inversion:
                inversion_plots.subplot_inversion(
                    inversion=fit.inversion,
                    image_positions=self.include.positions_from_fit(fit=fit),
                    source_positions=self.include.positions_of_plane_from_fit_and_plane_index(
                        fit=fit, plane_index=-1
                    ),
                    grid=self.include.inversion_image_pixelization_grid_from_fit(
                        fit=fit
                    ),
                    light_profile_centres=self.include.light_profile_centres_from_obj(
                        obj=fit.tracer.image_plane
                    ),
                    mass_profile_centres=self.include.mass_profile_centres_from_obj(
                        obj=fit.tracer.image_plane
                    ),
                    critical_curves=self.include.critical_curves_from_obj(
                        obj=fit.tracer

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def deflections_y(tracer, grid, include=None, plotter=None):

    deflections = tracer.deflections_from_grid(grid=grid)
    deflections_y = arrays.MaskedArray.manual_1d(
        array=deflections.in_1d[:, 0], mask=grid.mask
    )

    plotter.plot_array(
        array=deflections_y,
        mask=include.mask_from_grid(grid=grid),
        critical_curves=include.critical_curves_from_obj(obj=tracer),
        light_profile_centres=include.light_profile_centres_from_obj(obj=tracer),
        mass_profile_centres=include.mass_profile_centres_from_obj(obj=tracer),
        include_origin=include.origin,
    )

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def model_image_of_plane(fit, plane_index, include=None, plotter=None):
    """Plot the model image of a specific plane of a lens fit.

    Set *autolens.datas.arrays.plotters.plotters* for a description of all input parameters not described below.

    Parameters
    -----------
    fit : datas.fitting.fitting.AbstractFitter
        The fit to the datas, which includes a list of every model image, residual_map, chi-squareds, etc.
    plane_indexes : [int]
        The plane from which the model image is generated.
    """

    if isinstance(plotter, lensing_plotters.Plotter):
        plotter = plotter.plotter_with_new_output(

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def image(tracer, grid, positions=None, include=None, plotter=None):

    plotter.plot_array(
        array=tracer.image_from_grid(grid=grid),
        mask=include.mask_from_grid(grid=grid),
        positions=positions,
        critical_curves=include.critical_curves_from_obj(obj=tracer),
        light_profile_centres=include.light_profile_centres_from_obj(obj=tracer),
        mass_profile_centres=include.mass_profile_centres_from_obj(obj=tracer),
        include_origin=include.origin,
    )