This website is for version 5. You can find the documentation for version 4 here.


class altair.FilterTransform(filter=Undefined, **kwds)#

FilterTransform schema wrapper

filterstr, dict, Predicate, FieldGTPredicate, FieldLTPredicate, FieldGTEPredicate, FieldLTEPredicate, LogicalOrPredicate, ParameterPredicate, FieldEqualPredicate, FieldOneOfPredicate, FieldRangePredicate, FieldValidPredicate, LogicalAndPredicate, LogicalNotPredicate, PredicateComposition

The filter property must be a predication definition, which can take one of the following forms:

1) an expression string, where datum can be used to refer to the current data object. For example, {filter: "datum.b2 > 60"} would make the output data includes only items that have values in the field b2 over 60.

2) one of the field predicates : equal, lt, lte, gt, gte, range, oneOf, or valid,

3) a selection predicate, which define the names of a selection that the data point should belong to (or a logical composition of selections).

4) a logical composition of (1), (2), or (3).

__init__(filter=Undefined, **kwds)#



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 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