regularizepsf.visualize#

Visualization tools for PSFs.

Attributes#

DEFAULT_COLORMAP

PSF_IMSHOW_ARGS_DEFAULT

KERNEL_IMSHOW_ARGS_DEFAULT

Functions#

_generate_colormap(→ matplotlib.colors.ListedColormap)

visualize_patch_counts(→ matplotlib.axes.Axes)

Visualize the number of stars identified within each patch.

visualize_grid(→ None)

Visualize the PSF model.

Module Contents#

regularizepsf.visualize._generate_colormap() → matplotlib.colors.ListedColormap#
regularizepsf.visualize.DEFAULT_COLORMAP#
regularizepsf.visualize.PSF_IMSHOW_ARGS_DEFAULT#
regularizepsf.visualize.KERNEL_IMSHOW_ARGS_DEFAULT#
regularizepsf.visualize.visualize_patch_counts(counts: dict[tuple[int, int], int], ax: matplotlib.axes.Axes | None = None, label_pixel_bounds: bool = False) → matplotlib.axes.Axes#

Visualize the number of stars identified within each patch.

Parameters:

  • counts (dict[tuple[int, int], int]) – The counts returned by an ArrayPSFBuilder.build

  • ax (matplotlib.axes.Axes) – An Axes object on which to plot. If not provided, a new Figure will be generated.

  • label_pixel_bounds (bool) – If True, the axes of the plot will be labeled with the pixel range spanned by each patch.

regularizepsf.visualize.visualize_grid(data: regularizepsf.util.IndexedCube, second_data: regularizepsf.util.IndexedCube | None = None, title: str | tuple[str, str] = '', fig: matplotlib.figure.Figure | None = None, fig_scale: int = 1, all_patches: bool = False, imshow_args: dict | None = None, colorbar_label: str = '') → None#

Visualize the PSF model.