altair.FlattenTransform#

class altair.FlattenTransform(flatten=Undefined, **kwds)#

FlattenTransform schema wrapper

FlattenTransform, Dict[required=[flatten]]

Parameters:
flattenSequence[FieldName, str]

An array of one or more data fields containing arrays to flatten. If multiple fields are specified, their array values should have a parallel structure, ideally with the same length. If the lengths of parallel arrays do not match, the longest array will be used with null values added for missing entries.

asSequence[FieldName, str]

The output field names for extracted array values.

Default value: The field name of the corresponding array field

__init__(flatten=Undefined, **kwds)#

Methods

__init__([flatten])

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