altair.QuantileTransform

class altair.QuantileTransform(quantile=Undefined, groupby=Undefined, probs=Undefined, step=Undefined, **kwds)

QuantileTransform schema wrapper

Mapping(required=[quantile])

Parameters:

quantileFieldName

The data field for which to perform quantile estimation.

groupbyList(FieldName)

The data fields to group by. If not specified, a single group containing all data objects will be used.

probsList(float)

An array of probabilities in the range (0, 1) for which to compute quantile values. If not specified, the step parameter will be used.

stepfloat

A probability step size (default 0.01) for sampling quantile values. All values from one-half the step size up to 1 (exclusive) will be sampled. This parameter is only used if the probs parameter is not provided.

asList(FieldName)

The output field names for the probability and quantile values.

Default value: ["prob", "value"]

__init__(quantile=Undefined, groupby=Undefined, probs=Undefined, step=Undefined, **kwds)

Methods

__init__([quantile, groupby, probs, step])
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