cedalion.vis.colors

Color and colormap definitions.

Functions

mask_cmap([true_is_good])	A red and blue colormap to color binary masks.
p_values_cmap()	A colormap for log10(p-values).
segmented_cmap(name, vmin, vmax, segments[, ...])	Create a linear segmented colormap.
threshold_cmap(name, vmin, vmax, threshold)	A read and blue colormap with a distinctive break at a threshold value.

cedalion.vis.colors.segmented_cmap(

name: str,

vmin: float,

vmax: float,

segments: list[tuple[float, tuple[float, float, float] | str | tuple[float, float, float, float] | tuple[tuple[float, float, float] | str, float] | tuple[tuple[float, float, float, float], float]]],

over: None | tuple[float, float, float] | str | tuple[float, float, float, float] | tuple[tuple[float, float, float] | str, float] | tuple[tuple[float, float, float, float], float] = None,

under: None | tuple[float, float, float] | str | tuple[float, float, float, float] | tuple[tuple[float, float, float] | str, float] | tuple[tuple[float, float, float, float], float] = None,

bad: None | tuple[float, float, float] | str | tuple[float, float, float, float] | tuple[tuple[float, float, float] | str, float] | tuple[tuple[float, float, float, float], float] = None,

) → tuple[Normalize, LinearSegmentedColormap]

Create a linear segmented colormap.

cedalion.vis.colors.p_values_cmap() → tuple[Normalize, LinearSegmentedColormap]

A colormap for log10(p-values).

Gray for p>0.05 and with different colors for common thresholds.

cedalion.vis.colors.threshold_cmap(

name,

vmin,

vmax,

threshold,

higher_is_better=True,

) → tuple[Normalize, LinearSegmentedColormap]

A read and blue colormap with a distinctive break at a threshold value.

cedalion.vis.colors.mask_cmap(

true_is_good=True,

) → tuple[Normalize, LinearSegmentedColormap]

A red and blue colormap to color binary masks.