altair.BoxPlotConfig

class altair.BoxPlotConfig(box=Undefined, extent=Undefined, median=Undefined, outliers=Undefined, rule=Undefined, size=Undefined, ticks=Undefined, **kwds)

BoxPlotConfig schema wrapper

Mapping(required=[])

Attributes
boxanyOf(boolean, MarkConfigExprOrSignalRef)
extentanyOf(string, float)

The extent of the whiskers. Available options include: - "min-max" : min and max are the lower and upper whiskers respectively. - A number representing multiple of the interquartile range. This number will be multiplied by the IQR to determine whisker boundary, which spans from the smallest data to the largest data within the range [Q1 - k * IQR, Q3 + k * IQR] where Q1 and Q3 are the first and third quartiles while IQR is the interquartile range ( Q3-Q1 ).

Default value: 1.5.

mediananyOf(boolean, MarkConfigExprOrSignalRef)
outliersanyOf(boolean, MarkConfigExprOrSignalRef)
ruleanyOf(boolean, MarkConfigExprOrSignalRef)
sizefloat

Size of the box and median tick of a box plot

ticksanyOf(boolean, MarkConfigExprOrSignalRef)
__init__(box=Undefined, extent=Undefined, median=Undefined, outliers=Undefined, rule=Undefined, size=Undefined, ticks=Undefined, **kwds)

Methods

__init__([box, extent, median, outliers, ...])

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