def test__gaussian_centres_scatterer__from_config_or_via_manual_input(
self):
plotter = aplt.Plotter()
assert plotter.gaussian_centres_scatterer.size == 10
assert plotter.gaussian_centres_scatterer.marker == "+"
assert plotter.gaussian_centres_scatterer.colors == ["k", "r"]
plotter = aplt.Plotter(
gaussian_centres_scatterer=aplt.GaussianCentreScatterer(
size=1, marker=".", colors="k"))
assert plotter.gaussian_centres_scatterer.size == 1
assert plotter.gaussian_centres_scatterer.marker == "."
assert plotter.gaussian_centres_scatterer.colors == ["k"]
sub_plotter = aplt.SubPlotter()
assert sub_plotter.gaussian_centres_scatterer.size == 10
assert sub_plotter.gaussian_centres_scatterer.marker == "+"
assert sub_plotter.gaussian_centres_scatterer.colors == ["k", "r"]
sub_plotter = aplt.SubPlotter(
gaussian_centres_scatterer=aplt.GaussianCentreScatterer.sub(
marker="o", colors="r"))
assert sub_plotter.gaussian_centres_scatterer.size == 10
assert sub_plotter.gaussian_centres_scatterer.marker == "o"
assert sub_plotter.gaussian_centres_scatterer.colors == ["r"]
def test__plot_array__works_with_all_extras_included(
self, plot_path, plot_patch):
array = aa.array.ones(shape_2d=(31, 31),
pixel_scales=(1.0, 1.0),
sub_size=2)
mask = aa.mask.circular(
shape_2d=array.shape_2d,
pixel_scales=array.pixel_scales,
radius=5.0,
centre=(2.0, 2.0),
)
grid = aa.grid.uniform(shape_2d=(11, 11), pixel_scales=0.5)
plotter = aplt.Plotter(output=aplt.Output(
path=plot_path, filename="array1", format="png"))
plotter.plot_array(
array=array,
mask=mask,
grid=grid,
positions=[(-1.0, -1.0)],
gaussian_centres=[(1.0, 1.0)],
include_origin=True,
include_border=True,
)
assert plot_path + "array1.png" in plot_patch.paths
plotter = aplt.Plotter(output=aplt.Output(
path=plot_path, filename="array2", format="png"))
plotter.plot_array(
array=array,
mask=mask,
grid=grid,
positions=[[(1.0, 1.0), (2.0, 2.0)], [(-1.0, -1.0)]],
include_origin=True,
include_border=True,
)
assert plot_path + "array2.png" in plot_patch.paths
aplt.array(
array=array,
mask=mask,
grid=grid,
positions=[(-1.0, -1.0)],
gaussian_centres=[(1.0, 1.0)],
plotter=aplt.Plotter(output=aplt.Output(
path=plot_path, filename="array3", format="png")),
)
assert plot_path + "array3.png" in plot_patch.paths
def test__plot_grid__works_with_all_extras_included(
self, plot_path, plot_patch):
grid = aa.grid.uniform(shape_2d=(11, 11), pixel_scales=1.0)
color_array = np.linspace(start=0.0, stop=1.0, num=grid.shape_1d)
plotter = aplt.Plotter(
output=aplt.Output(path=plot_path, filename="grid1", format="png"))
plotter.plot_grid(
grid=grid,
color_array=color_array,
axis_limits=[-1.5, 1.5, -2.5, 2.5],
gaussian_centres=[(1.0, 1.0)],
indexes=[0, 1, 2, 14],
symmetric_around_centre=False,
)
assert plot_path + "grid1.png" in plot_patch.paths
plotter = aplt.Plotter(
output=aplt.Output(path=plot_path, filename="grid2", format="png"))
plotter.plot_grid(
grid=grid,
color_array=color_array,
axis_limits=[-1.5, 1.5, -2.5, 2.5],
gaussian_centres=[(1.0, 1.0)],
indexes=[0, 1, 2, 14],
symmetric_around_centre=True,
)
assert plot_path + "grid2.png" in plot_patch.paths
aplt.grid(
grid=grid,
color_array=color_array,
axis_limits=[-1.5, 1.5, -2.5, 2.5],
gaussian_centres=[(1.0, 1.0)],
indexes=[0, 1, 2, 14],
symmetric_around_centre=True,
plotter=aplt.Plotter(output=aplt.Output(
path=plot_path, filename="grid3", format="png")),
)
assert plot_path + "grid3.png" in plot_patch.paths
def test__plot_rectangular_mapper__works_with_all_extras_included(
self, rectangular_mapper_7x7_3x3, plot_path, plot_patch):
plotter = aplt.Plotter(output=aplt.Output(
path=plot_path, filename="mapper1", format="png"))
plotter.plot_rectangular_mapper(
mapper=rectangular_mapper_7x7_3x3,
include_pixelization_grid=True,
include_grid=True,
include_border=True,
gaussian_centres=[(1.0, 1.0)],
image_pixel_indexes=[[(0, 0), (0, 1)], [(1, 2)]],
source_pixel_indexes=[[0, 1], [2]],
)
assert plot_path + "mapper1.png" in plot_patch.paths
plotter = aplt.Plotter(output=aplt.Output(
path=plot_path, filename="mapper2", format="png"))
plotter.plot_rectangular_mapper(
mapper=rectangular_mapper_7x7_3x3,
include_pixelization_grid=True,
include_grid=True,
include_border=True,
gaussian_centres=[(1.0, 1.0)],
image_pixel_indexes=[[(0, 0), (0, 1)], [(1, 2)]],
source_pixel_indexes=[[0, 1], [2]],
)
assert plot_path + "mapper2.png" in plot_patch.paths
aplt.mapper_obj(
mapper=rectangular_mapper_7x7_3x3,
gaussian_centres=[(1.0, 1.0)],
image_pixel_indexes=[[(0, 0), (0, 1)], [(1, 2)]],
source_pixel_indexes=[[0, 1], [2]],
plotter=aplt.Plotter(output=aplt.Output(
path=plot_path, filename="mapper3", format="png")),
)
assert plot_path + "mapper3.png" in plot_patch.paths
def test__plot_line__works_with_all_extras_included(
self, plot_path, plot_patch):
plotter = aplt.Plotter(
output=aplt.Output(path=plot_path, filename="line1", format="png"))
plotter.plot_line(
y=np.array([1.0, 2.0, 3.0]),
x=np.array([0.5, 1.0, 1.5]),
plot_axis_type="loglog",
vertical_lines=[1.0, 2.0],
label="line0",
vertical_line_labels=["line1", "line2"],
)
assert plot_path + "line1.png" in plot_patch.paths
plotter = aplt.Plotter(
output=aplt.Output(path=plot_path, filename="line2", format="png"))
plotter.plot_line(
y=np.array([1.0, 2.0, 3.0]),
x=np.array([0.5, 1.0, 1.5]),
plot_axis_type="semilogy",
vertical_lines=[1.0, 2.0],
label="line0",
vertical_line_labels=["line1", "line2"],
)
assert plot_path + "line2.png" in plot_patch.paths
aplt.line(
y=np.array([1.0, 2.0, 3.0]),
x=np.array([0.5, 1.0, 1.5]),
plot_axis_type="loglog",
vertical_lines=[1.0, 2.0],
label="line0",
vertical_line_labels=["line1", "line2"],
plotter=aplt.Plotter(output=aplt.Output(
path=plot_path, filename="line3", format="png")),
)
assert plot_path + "line3.png" in plot_patch.paths
def test__all_quantities_are_output(
gaussian_0,
sub_grid_7x7,
positions_7x7,
include_all,
profile_plotter_path,
plot_patch,
):
toy.plot.profile_image(
gaussian=gaussian_0,
grid=sub_grid_7x7,
positions=positions_7x7,
include=include_all,
plotter=aplt.Plotter(
output=aplt.Output(profile_plotter_path, format="png")),
)
assert profile_plotter_path + "profile_image.png" in plot_patch.paths
def test__plot_array__fits_files_output_correctly(self, plot_path):
plot_path = plot_path + "/fits/"
if os.path.exists(plot_path):
shutil.rmtree(plot_path)
arr = aa.array.ones(shape_2d=(31, 31),
pixel_scales=(1.0, 1.0),
sub_size=2)
plotter = aplt.Plotter(output=aplt.Output(
path=plot_path, filename="array", format="fits"))
plotter.plot_array(array=arr)
arr = aa.util.array.numpy_array_2d_from_fits(file_path=plot_path +
"/array.fits",
hdu=0)
assert (arr == np.ones(shape=(31, 31))).all()
mask = aa.mask.circular(shape_2d=(31, 31),
pixel_scales=(1.0, 1.0),
radius=5.0,
centre=(2.0, 2.0))
masked_array = aa.masked.array.manual_2d(array=arr, mask=mask)
plotter.plot_array(array=masked_array)
arr = aa.util.array.numpy_array_2d_from_fits(file_path=plot_path +
"/array.fits",
hdu=0)
assert arr.shape == (13, 13)