def test__individual_attributes_are_output(dataset_line_7, plot_path,
plot_patch):
dataset_line_plotter = aplt.DatasetLinePlotter(
dataset_line=dataset_line_7,
mat_plot_1d=aplt.MatPlot1D(
output=aplt.Output(plot_path, format="png")),
)
dataset_line_plotter.figures_1d(data=True,
noise_map=True,
pre_cti_data=True,
signal_to_noise_map=True)
assert path.join(plot_path, "data.png") in plot_patch.paths
assert path.join(plot_path, "noise_map.png") in plot_patch.paths
assert path.join(plot_path, "pre_cti_data.png") in plot_patch.paths
assert path.join(plot_path, "signal_to_noise_map.png") in plot_patch.paths
plot_patch.paths = []
dataset_line_plotter.figures_1d(data=True, pre_cti_data=True)
assert path.join(plot_path, "data.png") in plot_patch.paths
assert path.join(plot_path, "noise_map.png") not in plot_patch.paths
assert path.join(plot_path, "pre_cti_data.png") in plot_patch.paths
assert path.join(plot_path,
"signal_to_noise_map.png") not in plot_patch.paths
def test__fit_line_subplots_are_output(fit_line_7, plot_path, plot_patch):
fit_ci_plotter = aplt.FitDatasetLinePlotter(
fit=fit_line_7,
mat_plot_1d=aplt.MatPlot1D(
output=aplt.Output(plot_path, format="png")),
)
fit_ci_plotter.subplot_fit_dataset_line()
assert path.join(plot_path,
"subplot_fit_dataset_line.png") in plot_patch.paths
def test__subplot_dataset_line__is_output(dataset_line_7, plot_path,
plot_patch):
dataset_line_plotter = aplt.DatasetLinePlotter(
dataset_line=dataset_line_7,
mat_plot_1d=aplt.MatPlot1D(
output=aplt.Output(plot_path, format="png")),
)
dataset_line_plotter.subplot_dataset_line()
assert path.join(plot_path, "subplot_dataset_line.png") in plot_patch.paths
def test__individual_attribute_plots__all_plot_correctly(
fit_ci_7x7, plot_path, plot_patch):
fit_ci_plotter = aplt.FitImagingCIPlotter(
fit=fit_ci_7x7,
mat_plot_2d=aplt.MatPlot2D(
output=aplt.Output(plot_path, format="png")),
mat_plot_1d=aplt.MatPlot1D(
output=aplt.Output(plot_path, format="png")),
)
fit_ci_plotter.figures_2d(
image=True,
noise_map=True,
signal_to_noise_map=True,
pre_cti_data=True,
post_cti_data=True,
residual_map=True,
normalized_residual_map=True,
chi_squared_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, "signal_to_noise_map.png") in plot_patch.paths
assert path.join(plot_path, "pre_cti_data.png") in plot_patch.paths
assert path.join(plot_path, "post_cti_data.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
plot_patch.paths = []
fit_ci_plotter.figures_2d(
image=True,
noise_map=False,
signal_to_noise_map=False,
pre_cti_data=True,
post_cti_data=True,
chi_squared_map=True,
)
assert path.join(plot_path, "image_2d.png") in plot_patch.paths
assert path.join(plot_path, "noise_map.png") not in plot_patch.paths
assert path.join(plot_path,
"signal_to_noise_map.png") not in plot_patch.paths
assert path.join(plot_path, "pre_cti_data.png") in plot_patch.paths
assert path.join(plot_path, "post_cti_data.png") in plot_patch.paths
assert path.join(plot_path, "residual_map.png") not in plot_patch.paths
assert path.join(plot_path, "chi_squared_map.png") in plot_patch.paths
def test__subplot_ci_lines__is_output(imaging_ci_7x7, plot_path, plot_patch):
imaging_ci_plotter = aplt.ImagingCIPlotter(
imaging=imaging_ci_7x7,
mat_plot_2d=aplt.MatPlot2D(
output=aplt.Output(plot_path, format="png")),
mat_plot_1d=aplt.MatPlot1D(
output=aplt.Output(plot_path, format="png")),
)
imaging_ci_plotter.subplot_imaging_ci()
assert path.join(plot_path, "subplot_imaging_ci.png") in plot_patch.paths
imaging_ci_plotter.subplot_1d_ci_line_region(
line_region="parallel_front_edge")
assert (path.join(plot_path, "subplot_1d_ci_parallel_front_edge.png")
in plot_patch.paths)
def test__fit_ci_subplots_are_output(fit_ci_7x7, plot_path, plot_patch):
fit_ci_plotter = aplt.FitImagingCIPlotter(
fit=fit_ci_7x7,
mat_plot_2d=aplt.MatPlot2D(
output=aplt.Output(plot_path, format="png")),
mat_plot_1d=aplt.MatPlot1D(
output=aplt.Output(plot_path, format="png")),
)
fit_ci_plotter.subplot_fit_ci()
assert path.join(plot_path, "subplot_fit_ci.png") in plot_patch.paths
fit_ci_plotter.subplot_1d_ci_line_region(line_region="parallel_front_edge")
assert (path.join(plot_path, "subplot_1d_fit_ci_parallel_front_edge.png")
in plot_patch.paths)
fit_ci_plotter.subplot_noise_scaling_map_list()
assert (path.join(plot_path, "subplot_noise_scaling_map_list.png")
in plot_patch.paths)
def test__individual_lines_are_output(imaging_ci_7x7, plot_path, plot_patch):
imaging_ci_plotter = aplt.ImagingCIPlotter(
imaging=imaging_ci_7x7,
mat_plot_1d=aplt.MatPlot1D(
output=aplt.Output(plot_path, format="png")),
)
imaging_ci_plotter.figures_1d_ci_line_region(
line_region="parallel_front_edge",
image=True,
noise_map=True,
pre_cti_data=True,
signal_to_noise_map=True,
)
assert path.join(plot_path,
"image_parallel_front_edge.png") in plot_patch.paths
assert path.join(plot_path,
"noise_map_parallel_front_edge.png") in plot_patch.paths
assert (path.join(plot_path, "pre_cti_data_parallel_front_edge.png")
in plot_patch.paths)
assert (path.join(plot_path, "signal_to_noise_map_parallel_front_edge.png")
in plot_patch.paths)
plot_patch.paths = []
imaging_ci_plotter.figures_1d_ci_line_region(
line_region="parallel_front_edge", image=True, pre_cti_data=True)
assert path.join(plot_path,
"image_parallel_front_edge.png") in plot_patch.paths
assert (path.join(plot_path, "noise_map_parallel_front_edge.png")
not in plot_patch.paths)
assert (path.join(plot_path, "pre_cti_data_parallel_front_edge.png")
in plot_patch.paths)
assert (path.join(plot_path, "signal_to_noise_map_parallel_front_edge.png")
not in plot_patch.paths)
def test__individual_attributes_are_output(imaging_ci_7x7, plot_path,
plot_patch):
imaging_ci_plotter = aplt.ImagingCIPlotter(
imaging=imaging_ci_7x7,
mat_plot_2d=aplt.MatPlot2D(
output=aplt.Output(plot_path, format="png")),
mat_plot_1d=aplt.MatPlot1D(
output=aplt.Output(plot_path, format="png")),
)
imaging_ci_7x7.cosmic_ray_map[0, 0] = 1.0
imaging_ci_plotter.figures_2d(
image=True,
noise_map=True,
pre_cti_data=True,
signal_to_noise_map=True,
cosmic_ray_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, "pre_cti_data.png") in plot_patch.paths
assert path.join(plot_path, "signal_to_noise_map.png") in plot_patch.paths
assert path.join(plot_path, "cosmic_ray_map.png") in plot_patch.paths
plot_patch.paths = []
imaging_ci_plotter.figures_2d(image=True, pre_cti_data=True)
assert path.join(plot_path, "image_2d.png") in plot_patch.paths
assert path.join(plot_path, "noise_map.png") not in plot_patch.paths
assert path.join(plot_path, "pre_cti_data.png") in plot_patch.paths
assert path.join(plot_path,
"signal_to_noise_map.png") not in plot_patch.paths
def test__individual_line_attriutes_plot__all_plot_correctly_output(
fit_ci_7x7, plot_path, plot_patch):
fit_ci_plotter = aplt.FitImagingCIPlotter(
fit=fit_ci_7x7,
mat_plot_2d=aplt.MatPlot2D(
output=aplt.Output(plot_path, format="png")),
mat_plot_1d=aplt.MatPlot1D(
output=aplt.Output(plot_path, format="png")),
)
fit_ci_plotter.figures_1d_ci_line_region(
line_region="parallel_front_edge",
image=True,
noise_map=True,
signal_to_noise_map=True,
pre_cti_data=True,
post_cti_data=True,
residual_map=True,
normalized_residual_map=True,
chi_squared_map=True,
)
assert path.join(plot_path,
"image_parallel_front_edge.png") in plot_patch.paths
assert path.join(plot_path,
"noise_map_parallel_front_edge.png") in plot_patch.paths
assert (path.join(plot_path, "signal_to_noise_map_parallel_front_edge.png")
in plot_patch.paths)
assert (path.join(plot_path, "pre_cti_data_parallel_front_edge.png")
in plot_patch.paths)
assert (path.join(plot_path, "post_cti_data_parallel_front_edge.png")
in plot_patch.paths)
assert (path.join(plot_path, "residual_map_parallel_front_edge.png")
in plot_patch.paths)
assert (path.join(plot_path,
"normalized_residual_map_parallel_front_edge.png")
in plot_patch.paths)
assert (path.join(plot_path, "chi_squared_map_parallel_front_edge.png")
in plot_patch.paths)
plot_patch.paths = []
fit_ci_plotter.figures_1d_ci_line_region(
line_region="parallel_front_edge",
image=True,
noise_map=False,
signal_to_noise_map=False,
pre_cti_data=True,
post_cti_data=True,
chi_squared_map=True,
)
assert path.join(plot_path,
"image_parallel_front_edge.png") in plot_patch.paths
assert (path.join(plot_path, "noise_map_parallel_front_edge.png")
not in plot_patch.paths)
assert (path.join(plot_path, "signal_to_noise_map_parallel_front_edge.png")
not in plot_patch.paths)
assert (path.join(plot_path, "pre_cti_data_parallel_front_edge.png")
in plot_patch.paths)
assert (path.join(plot_path, "post_cti_data_parallel_front_edge.png")
in plot_patch.paths)
assert (path.join(plot_path, "residual_map_parallel_front_edge.png")
not in plot_patch.paths)
assert (path.join(plot_path, "chi_squared_map_parallel_front_edge.png")
in plot_patch.paths)
]
dataset_line_plotter = aplt.DatasetLinePlotter(dataset_line=dataset_line_list[0])
dataset_line_plotter.subplot_dataset_line()
"""
__Output__
Output a subplot of the line data, noise-map and pre cti image to .png files.
"""
for dataset_line in dataset_line_list:
filename = f"dataset_line_{dataset_line.layout.normalization}"
mat_plot_1d = aplt.MatPlot1D(
output=aplt.Output(path=dataset_path, filename=filename, format="png")
)
dataset_line_plotter = aplt.DatasetLinePlotter(
dataset_line=dataset_line, mat_plot_1d=mat_plot_1d
)
dataset_line_plotter.subplot_dataset_line()
"""
Output the line data, noise-map and pre cti image of the charge injection dataset to .fits files.
"""
[
dataset_line.output_to_fits(
data_path=path.join(
dataset_path, f"data_{dataset_line.layout.normalization}.fits"
),
