neu_draw.colors¶

Colour normalisation and assignment, as RGBA tuples. No plotting or colormap library is required.

Names resolve from a small table: matplotlib’s single-letter shorthands, basic names and the tab: colours. Any other name is passed to the cmap library if it is installed, which knows the full CSS vocabulary.

Attributes¶

`QUALITATIVE`
`RGBA`

Functions¶

`assign_colors`(names[, explicit, palette]) → dict[Hashable, RGBA]	One colour per name: explicit where given, otherwise cycling the palette.
`to_rgba`(color[, alpha]) → RGBA	Normalise a colour to `(r, g, b, a)` floats in `[0, 1]`.

Module Contents¶

neu_draw.colors.assign_colors(names: Iterable[Hashable], explicit: Mapping[Hashable, Any] | Any | None = None, palette: Sequence[Any] | None = None) → dict[Hashable, RGBA]¶

One colour per name: explicit where given, otherwise cycling the palette.

explicit may be a mapping, a single colour for everything, or a sequence to use as the palette. Palette position depends only on the names without an explicit colour, so fixing one body’s colour does not change the others’.

neu_draw.colors.to_rgba(color: Any, alpha: float | None = None) → RGBA¶

Normalise a colour to (r, g, b, a) floats in [0, 1].

Accepts a name, #rgb/#rrggbb/#rrggbbaa, or a 3- or 4-sequence of floats in [0, 1]. alpha overrides whatever the colour carried.

neu_draw.colors.QUALITATIVE: tuple[RGBA, ...] = ((0.1216, 0.4667, 0.7059, 1.0), (1.0, 0.498, 0.0549, 1.0), (0.1725, 0.6275, 0.1725, 1.0),...¶

neu_draw.colors.RGBA¶