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.
- categoryanyOf(
- __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