import numpy as np
from typing import List, Optional
import autoarray as aa
import autoarray.plot as aplt
from autoarray.fit.plot.fit_imaging_plotters import FitImagingPlotterMeta
from autogalaxy.galaxy.galaxy import Galaxy
from autogalaxy.imaging.fit_imaging import FitImaging
from autogalaxy.plot.abstract_plotters import Plotter
from autogalaxy.plot.mat_plot.two_d import MatPlot2D
from autogalaxy.plot.visuals.two_d import Visuals2D
from autogalaxy.plot.include.two_d import Include2D
[docs]class FitImagingPlotter(Plotter):
def __init__(
self,
fit: FitImaging,
mat_plot_2d: MatPlot2D = MatPlot2D(),
visuals_2d: Visuals2D = Visuals2D(),
include_2d: Include2D = Include2D(),
residuals_symmetric_cmap: bool = True,
):
"""
Plots the attributes of `FitImaging` objects using the matplotlib method `imshow()` and many other matplotlib
functions which customize the plot's appearance.
The `mat_plot_2d` attribute wraps matplotlib function calls to make the figure. By default, the settings
passed to every matplotlib function called are those specified in the `config/visualize/mat_wrap/*.ini` files,
but a user can manually input values into `MatPlot2d` to customize the figure's appearance.
Overlaid on the figure are visuals, contained in the `Visuals2D` object. Attributes may be extracted from
the `FitImaging` and plotted via the visuals object, if the corresponding entry is `True` in the `Include2D`
object or the `config/visualize/include.ini` file.
Parameters
----------
fit
The fit to an imaging dataset the plotter plots.
mat_plot_2d
Contains objects which wrap the matplotlib function calls that make the plot.
visuals_2d
Contains visuals that can be overlaid on the plot.
include_2d
Specifies which attributes of the `FitImaging` are extracted and plotted as visuals.
residuals_symmetric_cmap
If true, the `residual_map` and `normalized_residual_map` are plotted with a symmetric color map such
that `abs(vmin) = abs(vmax)`.
"""
super().__init__(
mat_plot_2d=mat_plot_2d, include_2d=include_2d, visuals_2d=visuals_2d
)
self.fit = fit
self._fit_imaging_meta_plotter = FitImagingPlotterMeta(
fit=self.fit,
get_visuals_2d=self.get_visuals_2d,
mat_plot_2d=self.mat_plot_2d,
include_2d=self.include_2d,
visuals_2d=self.visuals_2d,
residuals_symmetric_cmap=residuals_symmetric_cmap,
)
self.figures_2d = self._fit_imaging_meta_plotter.figures_2d
self.subplot = self._fit_imaging_meta_plotter.subplot
def get_visuals_2d(self) -> Visuals2D:
return self.get_2d.via_fit_imaging_from(fit=self.fit)
@property
def inversion_plotter(self) -> aplt.InversionPlotter:
"""
Returns an `InversionPlotter` corresponding to the `Inversion` of the fit.
Returns
-------
InversionPlotter
An object that plots inversions which is used for plotting attributes of the inversion.
"""
return aplt.InversionPlotter(
inversion=self.fit.inversion,
mat_plot_2d=self.mat_plot_2d,
visuals_2d=self.get_visuals_2d(),
include_2d=self.include_2d,
)
@property
def galaxies(self) -> List[Galaxy]:
return self.fit.galaxies_linear_light_profiles_to_light_profiles
@property
def galaxy_indices(self) -> List[int]:
"""
Returns a list of all indexes of the galaxies in the fit, which is iterated over in figures that plot
individual figures of each galaxy.
Parameters
----------
galaxy_index
A specific galaxy index such that only a single galaxy index is returned.
Returns
-------
list
A list of galaxy indexes corresponding to the galaxies.
"""
return list(range(len(self.fit.galaxies)))
[docs] def subplot_fit(self):
"""
Standard subplot of the attributes of the plotter's `FitImaging` object.
"""
self.open_subplot_figure(number_subplots=6)
self.figures_2d(data=True)
self.figures_2d(signal_to_noise_map=True)
self.figures_2d(model_image=True)
self.figures_2d(normalized_residual_map=True)
self.mat_plot_2d.cmap.kwargs["vmin"] = -1.0
self.mat_plot_2d.cmap.kwargs["vmax"] = 1.0
self.set_title(label="Normalized Residual Map (1 sigma)")
self.figures_2d(normalized_residual_map=True)
self.set_title(label=None)
self.mat_plot_2d.cmap.kwargs.pop("vmin")
self.mat_plot_2d.cmap.kwargs.pop("vmax")
self.figures_2d(chi_squared_map=True)
self.mat_plot_2d.output.subplot_to_figure(auto_filename="subplot_fit")
self.close_subplot_figure()
[docs] def subplot_of_galaxies(self, galaxy_index: Optional[int] = None):
"""
Plots images representing each individual `Galaxy` in the plotter's list of galaxies in 2D on a subplot,
which are computed via the plotter's 2D grid object.
These images subtract or omit the contribution of other galaxies, such that plots showing each individual
galaxy are made.
The subplot plots the subtracted image and model image of each galaxy, where are described in the
`figures_2d_of_galaxies` function.
Parameters
----------
galaxy_index
If input, plots for only a single galaxy based on its index are created.
"""
if galaxy_index is None:
galaxy_indices = self.galaxy_indices
else:
galaxy_indices = [galaxy_index]
for galaxy_index in galaxy_indices:
self.open_subplot_figure(number_subplots=4)
self.figures_2d(data=True)
self.figures_2d_of_galaxies(
galaxy_index=galaxy_index, subtracted_image=True
)
self.figures_2d_of_galaxies(galaxy_index=galaxy_index, model_image=True)
if self.galaxies.has(cls=aa.Pixelization):
self.inversion_plotter.figures_2d_of_pixelization(
pixelization_index=0, reconstruction=True
)
self.mat_plot_2d.output.subplot_to_figure(
auto_filename=f"subplot_of_galaxy_{galaxy_index}"
)
self.close_subplot_figure()