altair.QuantileTransform#
- class altair.QuantileTransform(quantile=Undefined, groupby=Undefined, probs=Undefined, step=Undefined, **kwds)#
QuantileTransform schema wrapper
- Parameters:
- quantilestr,
FieldName The data field for which to perform quantile estimation.
- groupbySequence[str,
FieldName] The data fields to group by. If not specified, a single group containing all data objects will be used.
- probsSequence[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.
- asSequence[str,
FieldName] The output field names for the probability and quantile values.
Default value:
["prob", "value"]
- quantilestr,
- __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, indent, sort_keys, ...])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