altair.RangeConfig

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

RangeConfig schema wrapper

Mapping(required=[])

Parameters:

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