display.py File Reference

Go to the source code of this file.

Classes
class	lsst.scarlet.lite.display.LinearPercentileNorm
class	lsst.scarlet.lite.display.AsinhPercentileNorm

Namespaces
namespace	lsst
namespace	lsst.scarlet
namespace	lsst.scarlet.lite
namespace	lsst.scarlet.lite.display

Functions
np.ndarray	lsst.scarlet.lite.display.channels_to_rgb (int channels)
np.ndarray	lsst.scarlet.lite.display.img_to_3channel (np.ndarray img, np.ndarray|None channel_map=None, float fill_value=0)
np.ndarray	lsst.scarlet.lite.display.img_to_rgb (np.ndarray|Image img, np.ndarray|None channel_map=None, float fill_value=0, Mapping|None norm=None, np.ndarray|None mask=None)
matplotlib.pyplot.Figure	lsst.scarlet.lite.display.show_likelihood (Blend blend, tuple[float, float]|None figsize=None, **kwargs)
	lsst.scarlet.lite.display._add_markers (Source src, tuple[float, float, float, float] extent, matplotlib.pyplot.Axes ax, bool add_markers, bool add_boxes, dict marker_kwargs, dict box_kwargs)
	lsst.scarlet.lite.display.show_observation (Observation observation, Mapping|None norm=None, np.ndarray|None channel_map=None, Sequence|None centers=None, str|None psf_scaling=None, tuple[float, float]|None figsize=None)
matplotlib.pyplot.Figure	lsst.scarlet.lite.display.show_scene (Blend blend, Mapping|None norm=None, np.ndarray|None channel_map=None, bool show_model=True, bool show_observed=False, bool show_rendered=False, bool show_residual=False, bool add_labels=True, bool add_boxes=False, tuple[float, float]|None figsize=None, bool linear=True, bool use_flux=False, dict|None box_kwargs=None)
tuple[int, int, int, int]	lsst.scarlet.lite.display.get_extent (Box bbox)
matplotlib.pyplot.Figure	lsst.scarlet.lite.display.show_sources (Blend blend, list[Source]|None sources=None, Mapping|None norm=None, np.ndarray|None channel_map=None, bool show_model=True, bool show_observed=False, bool show_rendered=False, bool show_spectrum=True, tuple[float, float]|None figsize=None, bool model_mask=True, bool add_markers=True, bool add_boxes=False, bool use_flux=False)
matplotlib.pyplot.Figure	lsst.scarlet.lite.display.compare_spectra (bool use_flux=True, bool use_template=True, **list[Source] all_sources)

Variables
float	lsst.scarlet.lite.display.panel_size = 4.0