altair.RangeConfig

class altair.RangeConfig(category=Undefined, diverging=Undefined, heatmap=Undefined, ordinal=Undefined, ramp=Undefined, symbol=Undefined, **kwds)

RangeConfig schema wrapper

Mapping(required=[])

Attributes

categoryanyOf(RangeScheme, List(Color))

Default color scheme for categorical data.

diverginganyOf(RangeScheme, List(Color))

Default color scheme for diverging quantitative ramps.

heatmapanyOf(RangeScheme, List(Color))

Default color scheme for quantitative heatmaps.

ordinalanyOf(RangeScheme, List(Color))

Default color scheme for rank-ordered data.

rampanyOf(RangeScheme, List(Color))

Default color scheme for sequential quantitative ramps.

symbolList(SymbolShape)

Array of symbol names or paths for the default shape palette.

__init__(category=Undefined, diverging=Undefined, heatmap=Undefined, ordinal=Undefined, ramp=Undefined, symbol=Undefined, **kwds)

Methods

__init__([category, diverging, heatmap, ...])
copy([deep, ignore])	Return a copy of the object
from_dict(dct[, validate, _wrapper_classes])	Construct class from a dictionary representation
from_json(json_string[, validate])	Instantiate the object from a valid JSON string
resolve_references([schema])	Resolve references in the context of this object's schema or root schema.
to_dict([validate, ignore, context])	Return a dictionary representation of the object
to_json([validate, ignore, context, indent, ...])	Emit the JSON representation for this object as a string.
validate(instance[, schema])	Validate the instance against the class schema in the context of the rootschema.
validate_property(name, value[, schema])	Validate a property against property schema in the context of the rootschema