def test__attribute_for_visuals(self):
visuals_2d = aplt.Visuals2D()
include_2d = aplt.Include2D(origin=False)
abstract_plotter = abstract_plotters.AbstractPlotter(
visuals_2d=visuals_2d, include_2d=include_2d)
attr = abstract_plotter.extract_2d(name="origin", value=1)
assert attr == None
include_2d = aplt.Include2D(origin=True)
abstract_plotter = abstract_plotters.AbstractPlotter(
visuals_2d=visuals_2d, include_2d=include_2d)
attr = abstract_plotter.extract_2d(name="origin", value=1)
assert attr == 1
visuals_2d = aplt.Visuals2D(origin=10)
include_2d = aplt.Include2D(origin=False)
abstract_plotter = abstract_plotters.AbstractPlotter(
visuals_2d=visuals_2d, include_2d=include_2d)
attr = abstract_plotter.extract_2d(name="origin", value=2)
assert attr == 10
include_2d = aplt.Include2D(origin=True)
abstract_plotter = abstract_plotters.AbstractPlotter(
visuals_2d=visuals_2d, include_2d=include_2d)
attr = abstract_plotter.extract_2d(name="origin", value=2)
assert attr == 10
def test__works_with_all_extras_included(
self,
array_2d_7x7,
grid_2d_7x7,
mask_2d_7x7,
grid_2d_irregular_7x7_list,
plot_path,
plot_patch,
):
grid_plotter = aplt.Grid2DPlotter(
grid=grid_2d_7x7,
visuals_2d=aplt.Visuals2D(indexes=[0, 1, 2]),
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="grid1", format="png")),
)
color_array = np.linspace(start=0.0,
stop=1.0,
num=grid_2d_7x7.shape_slim)
grid_plotter.figure_2d(color_array=color_array)
assert path.join(plot_path, "grid1.png") in plot_patch.paths
grid_plotter = aplt.Grid2DPlotter(
grid=grid_2d_7x7,
visuals_2d=aplt.Visuals2D(indexes=[0, 1, 2]),
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="grid2", format="png")),
include_2d=aplt.Include2D(origin=True, mask=True, border=True),
)
grid_plotter.figure_2d(color_array=color_array)
assert path.join(plot_path, "grid2.png") in plot_patch.paths
visuals_2d = aplt.Visuals2D(
origin=grid_2d_irregular_7x7_list,
mask=mask_2d_7x7,
border=mask_2d_7x7.border_grid_sub_1.binned,
grid=grid_2d_7x7,
positions=grid_2d_irregular_7x7_list,
lines=grid_2d_irregular_7x7_list,
array_overlay=array_2d_7x7,
indexes=[0, 1, 2],
)
grid_plotter = aplt.Grid2DPlotter(
grid=grid_2d_7x7,
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="grid3", format="png")),
visuals_2d=visuals_2d,
)
grid_plotter.figure_2d(color_array=color_array)
assert path.join(plot_path, "grid3.png") in plot_patch.paths
def test__visuals_in_constructor_use_imaging_and_include(fit_imaging_7x7):
visuals_2d = aplt.Visuals2D(origin=(1.0, 1.0), vector_field=2)
include = aplt.Include2D(origin=True, mask=True, border=True)
fit_imaging_plotter = aplt.FitImagingPlotter(fit=fit_imaging_7x7,
visuals_2d=visuals_2d,
include_2d=include)
assert fit_imaging_plotter.visuals_2d.origin == (1.0, 1.0)
assert fit_imaging_plotter.visuals_with_include_2d.origin == (1.0, 1.0)
assert (fit_imaging_plotter.visuals_with_include_2d.mask ==
fit_imaging_7x7.image.mask).all()
assert (fit_imaging_plotter.visuals_with_include_2d.border ==
fit_imaging_7x7.image.mask.border_grid_sub_1.binned).all()
assert fit_imaging_plotter.visuals_with_include_2d.vector_field == 2
include = aplt.Include2D(origin=False, mask=False, border=False)
fit_imaging_plotter = aplt.FitImagingPlotter(fit=fit_imaging_7x7,
visuals_2d=visuals_2d,
include_2d=include)
assert fit_imaging_plotter.visuals_with_include_2d.origin == (1.0, 1.0)
assert fit_imaging_plotter.visuals_with_include_2d.mask == None
assert fit_imaging_plotter.visuals_with_include_2d.border == None
assert fit_imaging_plotter.visuals_with_include_2d.vector_field == 2
def test__image_and_mapper_subplot_is_output_for_all_mappers(
self,
imaging_7x7,
rectangular_mapper_7x7_3x3,
voronoi_mapper_9_3x3,
plot_path,
plot_patch,
):
mapper_plotter = aplt.MapperPlotter(
mapper=rectangular_mapper_7x7_3x3,
visuals_2d=aplt.Visuals2D(indexes=[[(0, 0), (0, 1)], [(1, 2)]],
pixelization_indexes=[[0, 1], [2]]),
mat_plot_2d=aplt.MatPlot2D(
output=aplt.Output(path=plot_path, format="png")),
include_2d=aplt.Include2D(mapper_source_pixelization_grid=True),
)
mapper_plotter.subplot_image_and_mapper(image=imaging_7x7.image)
assert path.join(plot_path,
"subplot_image_and_mapper.png") in plot_patch.paths
mapper_plotter.subplot_image_and_mapper(image=imaging_7x7.image)
assert path.join(plot_path,
"subplot_image_and_mapper.png") in plot_patch.paths
def test___visuals_in_constructor_use_array_and_include(
self, array_2d_7x7):
visuals_2d = aplt.Visuals2D(origin=(1.0, 1.0), vector_field=2)
include = aplt.Include2D(origin=True, mask=True, border=True)
array_plotter = aplt.Array2DPlotter(array=array_2d_7x7,
visuals_2d=visuals_2d,
include_2d=include)
assert array_plotter.visuals_2d.origin == (1.0, 1.0)
assert array_plotter.visuals_with_include_2d.origin == (1.0, 1.0)
assert array_plotter.visuals_2d.mask == None
assert (array_plotter.visuals_with_include_2d.mask == array_2d_7x7.mask
).all()
assert array_plotter.visuals_2d.border == None
assert (array_plotter.visuals_with_include_2d.border ==
array_2d_7x7.mask.border_grid_sub_1.binned).all()
assert array_plotter.visuals_2d.vector_field == 2
assert array_plotter.visuals_with_include_2d.vector_field == 2
include = aplt.Include2D(origin=False, mask=False, border=False)
array_plotter = aplt.Array2DPlotter(array=array_2d_7x7,
visuals_2d=visuals_2d,
include_2d=include)
assert array_plotter.visuals_with_include_2d.origin == (1.0, 1.0)
assert array_plotter.visuals_with_include_2d.mask == None
assert array_plotter.visuals_with_include_2d.border == None
assert array_plotter.visuals_with_include_2d.vector_field == 2
def __init__(
self,
fit: FitImagingCI,
mat_plot_2d: aplt.MatPlot2D = aplt.MatPlot2D(),
visuals_2d: aplt.Visuals2D = aplt.Visuals2D(),
include_2d: aplt.Include2D = aplt.Include2D(),
mat_plot_1d: aplt.MatPlot1D = aplt.MatPlot1D(),
visuals_1d: aplt.Visuals1D = aplt.Visuals1D(),
include_1d: aplt.Include1D = aplt.Include1D(),
):
"""
Plots the attributes of `FitImagingCI` objects using the matplotlib methods `imshow()`, `plot()` and many other
matplotlib functions which customize the plot's appearance.
The `mat_plot_1d` and `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 `MatPlot1D` and
`MatPlot2D` to customize the figure's appearance.
Overlaid on the figure are visuals, contained in the `Visuals1D` and `Visuals2D` object. Attributes may be
extracted from the `FitImagingCI` and plotted via the visuals object, if the corresponding entry
is `True` in the `Include1D` and `Include2D` object or the `config/visualize/include.ini` file.
Parameters
----------
fit
The fit to an imaging dataset the plotter plots.
get_visuals_2d
A function which extracts from the `FitImaging` the 2D visuals which are plotted on figures.
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 `Array2D` are extracted and plotted as visuals.
mat_plot_1d
Contains objects which wrap the matplotlib function calls that make 1D plots.
visuals_1d
Contains 1D visuals that can be overlaid on 1D plots.
include_1d
Specifies which attributes of the `ImagingCI` are extracted and plotted as visuals for 1D plots.
"""
super().__init__(
mat_plot_2d=mat_plot_2d, include_2d=include_2d, visuals_2d=visuals_2d
)
self.visuals_1d = visuals_1d
self.include_1d = include_1d
self.mat_plot_1d = mat_plot_1d
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,
)
def test__plot_rectangular_mapper__works_with_all_extras_included(
self, rectangular_mapper_7x7_3x3, plot_path, plot_patch):
mapper_plotter = aplt.MapperPlotter(
mapper=rectangular_mapper_7x7_3x3,
visuals_2d=aplt.Visuals2D(indexes=[[(0, 0), (0, 1)], [(1, 2)]],
pixelization_indexes=[[0, 1], [2]]),
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="mapper1", format="png")),
)
mapper_plotter.figure_2d()
assert path.join(plot_path, "mapper1.png") in plot_patch.paths
mapper_plotter = aplt.MapperPlotter(
mapper=rectangular_mapper_7x7_3x3,
visuals_2d=aplt.Visuals2D(indexes=[[(0, 0), (0, 1)], [(1, 2)]],
pixelization_indexes=[[0, 1], [2]]),
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="mapper2", format="png")),
)
mapper_plotter.figure_2d()
assert path.join(plot_path, "mapper2.png") in plot_patch.paths
mapper_plotter = aplt.MapperPlotter(
mapper=rectangular_mapper_7x7_3x3,
visuals_2d=aplt.Visuals2D(indexes=[[(0, 0), (0, 1)], [(1, 2)]],
pixelization_indexes=[[0, 1], [2]]),
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="mapper3", format="png")),
include_2d=aplt.Include2D(origin=True,
mapper_source_pixelization_grid=True),
)
mapper_plotter.figure_2d()
assert path.join(plot_path, "mapper3.png") in plot_patch.paths
def test__add_visuals_together__replaces_nones(self):
visuals_1 = aplt.Visuals2D(mask=1)
visuals_0 = aplt.Visuals2D(border=10)
visuals = visuals_0 + visuals_1
assert visuals.mask == 1
assert visuals.border == 10
assert visuals_1.mask == 1
assert visuals_1.border == 10
assert visuals_0.border == 10
assert visuals_0.mask == None
visuals_0 = aplt.Visuals2D(mask=1)
visuals_1 = aplt.Visuals2D(mask=2)
visuals = visuals_1 + visuals_0
assert visuals.mask == 1
assert visuals.border == None
assert visuals_1.mask == 2
def test__works_with_all_extras_included(
self,
array_2d_7x7,
mask_2d_7x7,
grid_2d_7x7,
grid_2d_irregular_7x7_list,
plot_path,
plot_patch,
):
array_plotter = aplt.Array2DPlotter(
array=array_2d_7x7,
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="array1", format="png")),
)
array_plotter.figure_2d()
assert path.join(plot_path, "array1.png") in plot_patch.paths
array_plotter = aplt.Array2DPlotter(
array=array_2d_7x7,
include_2d=aplt.Include2D(origin=True, mask=True, border=True),
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="array2", format="png")),
)
array_plotter.figure_2d()
assert path.join(plot_path, "array2.png") in plot_patch.paths
visuals_2d = aplt.Visuals2D(
origin=grid_2d_irregular_7x7_list,
mask=mask_2d_7x7,
border=mask_2d_7x7.border_grid_sub_1.binned,
grid=grid_2d_7x7,
positions=grid_2d_irregular_7x7_list,
# lines=grid_2d_irregular_7x7_list,
array_overlay=array_2d_7x7,
)
array_plotter = aplt.Array2DPlotter(
array=array_2d_7x7,
visuals_2d=visuals_2d,
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="array3", format="png")),
)
array_plotter.figure_2d()
assert path.join(plot_path, "array3.png") in plot_patch.paths
def test__plot_voronoi_mapper__works_with_all_extras_included(
self, voronoi_mapper_9_3x3, plot_path, plot_patch):
mapper_plotter = aplt.MapperPlotter(
mapper=voronoi_mapper_9_3x3,
visuals_2d=aplt.Visuals2D(indexes=[[(0, 0), (0, 1)], [(1, 2)]],
pixelization_indexes=[[0, 1], [2]]),
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="mapper1", format="png")),
)
mapper_plotter.figure_2d()
assert path.join(plot_path, "mapper1.png") in plot_patch.paths
mapper_plotter = aplt.MapperPlotter(
visuals_2d=aplt.Visuals2D(indexes=[[(0, 0), (0, 1)], [(1, 2)]],
pixelization_indexes=[[0, 1], [2]]),
mapper=voronoi_mapper_9_3x3,
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="mapper2", format="png")),
)
mapper_plotter.figure_2d()
assert path.join(plot_path, "mapper2.png") in plot_patch.paths
mapper_plotter = aplt.MapperPlotter(
visuals_2d=aplt.Visuals2D(indexes=[[(0, 0), (0, 1)], [(1, 2)]],
pixelization_indexes=[[0, 1], [2]]),
mapper=voronoi_mapper_9_3x3,
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(
path=plot_path, filename="mapper3", format="png")),
)
mapper_plotter.figure_2d()
assert path.join(plot_path, "mapper3.png") in plot_patch.paths
def test__inversion_subplot_is_output_for_all_inversions(
imaging_7x7,
rectangular_inversion_7x7_3x3,
voronoi_inversion_9_3x3,
plot_path,
plot_patch,
):
inversion_plotter = aplt.InversionPlotter(
inversion=rectangular_inversion_7x7_3x3,
visuals_2d=aplt.Visuals2D(indexes=[0], pixelization_indexes=[1]),
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(path=plot_path, format="png")),
)
inversion_plotter.subplot_inversion()
assert path.join(plot_path, "subplot_inversion.png") in plot_patch.paths
def test__individual_attributes_are_output(imaging_7x7,
grid_2d_irregular_7x7_list,
mask_2d_7x7, plot_path, plot_patch):
visuals_2d = aplt.Visuals2D(mask=mask_2d_7x7,
positions=grid_2d_irregular_7x7_list)
imaging_plotter = aplt.ImagingPlotter(
imaging=imaging_7x7,
visuals_2d=visuals_2d,
mat_plot_2d=aplt.MatPlot2D(
output=aplt.Output(plot_path, format="png")),
)
imaging_plotter.figures_2d(
image=True,
noise_map=True,
psf=True,
inverse_noise_map=True,
signal_to_noise_map=True,
)
assert path.join(plot_path, "image_2d.png") in plot_patch.paths
assert path.join(plot_path, "noise_map.png") in plot_patch.paths
assert path.join(plot_path, "psf.png") in plot_patch.paths
assert path.join(plot_path, "inverse_noise_map.png") in plot_patch.paths
assert path.join(plot_path, "signal_to_noise_map.png") in plot_patch.paths
plot_patch.paths = []
imaging_plotter.figures_2d(image=True,
psf=True,
inverse_noise_map=True,
absolute_signal_to_noise_map=True)
assert path.join(plot_path, "image_2d.png") in plot_patch.paths
assert not path.join(plot_path, "noise_map.png") in plot_patch.paths
assert path.join(plot_path, "psf.png") in plot_patch.paths
assert path.join(plot_path, "inverse_noise_map.png") in plot_patch.paths
assert not path.join(plot_path,
"signal_to_noise_map.png") in plot_patch.paths
assert path.join(plot_path,
"absolute_signal_to_noise_map.png") in plot_patch.paths
assert not path.join(plot_path,
"potential_chi_squared_map.png") in plot_patch.paths
def test___visuals_in_constructor_use_grid_and_include(self, grid_2d_7x7):
visuals_2d = aplt.Visuals2D(origin=(1.0, 1.0), vector_field=2)
include = aplt.Include2D(origin=True)
grid_plotter = aplt.Grid2DPlotter(grid=grid_2d_7x7,
visuals_2d=visuals_2d,
include_2d=include)
assert grid_plotter.visuals_2d.origin == (1.0, 1.0)
assert grid_plotter.visuals_with_include_2d.origin == (1.0, 1.0)
include = aplt.Include2D(origin=False)
grid_plotter = aplt.Grid2DPlotter(grid=grid_2d_7x7,
visuals_2d=visuals_2d,
include_2d=include)
assert grid_plotter.visuals_with_include_2d.origin == (1.0, 1.0)
assert grid_plotter.visuals_with_include_2d.vector_field == 2
def test__individual_attributes_are_output_for_all_mappers(
rectangular_inversion_7x7_3x3,
voronoi_inversion_9_3x3,
grid_2d_irregular_7x7_list,
plot_path,
plot_patch,
):
inversion_plotter = aplt.InversionPlotter(
inversion=rectangular_inversion_7x7_3x3,
visuals_2d=aplt.Visuals2D(indexes=[0], pixelization_indexes=[1]),
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(path=plot_path, format="png")),
)
inversion_plotter.figures_2d(
reconstructed_image=True,
reconstruction=True,
errors=True,
residual_map=True,
normalized_residual_map=True,
chi_squared_map=True,
regularization_weight_list=True,
interpolated_reconstruction=True,
interpolated_errors=True,
)
assert path.join(plot_path, "reconstructed_image.png") in plot_patch.paths
assert path.join(plot_path, "reconstruction.png") in plot_patch.paths
assert path.join(plot_path, "errors.png") in plot_patch.paths
assert path.join(plot_path, "residual_map.png") in plot_patch.paths
assert path.join(plot_path, "normalized_residual_map.png") in plot_patch.paths
assert path.join(plot_path, "chi_squared_map.png") in plot_patch.paths
assert path.join(plot_path, "regularization_weight_list.png") in plot_patch.paths
assert path.join(plot_path, "interpolated_reconstruction.png") in plot_patch.paths
assert path.join(plot_path, "interpolated_errors.png") in plot_patch.paths
plot_patch.paths = []
inversion_plotter = aplt.InversionPlotter(
inversion=voronoi_inversion_9_3x3,
visuals_2d=aplt.Visuals2D(indexes=[0], pixelization_indexes=[1]),
mat_plot_2d=aplt.MatPlot2D(output=aplt.Output(path=plot_path, format="png")),
)
inversion_plotter.figures_2d(
reconstructed_image=True,
reconstruction=True,
errors=True,
residual_map=True,
normalized_residual_map=True,
chi_squared_map=True,
regularization_weight_list=True,
interpolated_reconstruction=True,
interpolated_errors=True,
)
assert path.join(plot_path, "reconstructed_image.png") in plot_patch.paths
assert path.join(plot_path, "reconstruction.png") in plot_patch.paths
assert path.join(plot_path, "errors.png") in plot_patch.paths
assert path.join(plot_path, "residual_map.png") in plot_patch.paths
assert path.join(plot_path, "normalized_residual_map.png") in plot_patch.paths
assert path.join(plot_path, "chi_squared_map.png") in plot_patch.paths
assert path.join(plot_path, "regularization_weight_list.png") in plot_patch.paths
assert path.join(plot_path, "interpolated_reconstruction.png") in plot_patch.paths
assert path.join(plot_path, "interpolated_errors.png") in plot_patch.paths
plot_patch.paths = []
inversion_plotter.figures_2d(
reconstructed_image=True,
errors=True,
chi_squared_map=True,
interpolated_reconstruction=True,
)
assert path.join(plot_path, "reconstructed_image.png") in plot_patch.paths
assert path.join(plot_path, "reconstruction.png") not in plot_patch.paths
assert path.join(plot_path, "errors.png") in plot_patch.paths
assert path.join(plot_path, "residual_map.png") not in plot_patch.paths
assert path.join(plot_path, "normalized_residual_map.png") not in plot_patch.paths
assert path.join(plot_path, "chi_squared_map.png") in plot_patch.paths
assert path.join(plot_path, "interpolated_reconstruction.png") in plot_patch.paths
assert path.join(plot_path, "interpolated_errors.png") not in plot_patch.paths