scale_color_gradientn ¶
scale_color_gradientn(
colors: Sequence[Color] | None = None,
name: str | None = None,
breaks: Breaks | None = None,
labels: Labels | None = None,
lablim: int | None = None,
limits: Limits | None = None,
na_value: Color | Number | None = None,
guide: Guide | None = None,
trans: Transform | None = None,
format: str | None = None,
) -> FeatureSpec
Map color to a gradient through several colors, evenly spaced over the data.
Parameters:
-
colors(list of str, default:None) –Two or more colors.
-
name(str, default:None) –Legend title.
-
breaks(list, default:None) –Values that get a legend key or a colorbar tick.
-
labels(list of str or dict, default:None) –One label per break (a dict maps breaks to labels).
-
lablim(int, default:None) –Maximum label length in characters; longer labels are cut.
-
limits(list, default:None) –[low, high]data range of a continuous scale, or the levels (and their order) of a discrete one. Data outside the limits getsna_value. -
na_value(str, default:None) –Value drawn for missing data and data outside
limits. -
guide(str or FeatureSpec, default:None) –"legend","colorbar"(continuous color),"none", or aguide_legend()/guide_colorbar()spec. -
trans((identity, log10, log2, sqrt, reverse), default:"identity") –Transformation of the data.
-
format(str, default:None) –Label format: a number format (
".2f",",","%") or a template ("{.1f} %").labelstake precedence.
Returns:
-
FeatureSpec–The scale.