altair.PivotTransform

class altair.PivotTransform(pivot=Undefined, value=Undefined, groupby=Undefined, limit=Undefined, op=Undefined, **kwds)

PivotTransform schema wrapper

Mapping(required=[pivot, value])

Parameters:

pivotFieldName

The data field to pivot on. The unique values of this field become new field names in the output stream.

valueFieldName

The data field to populate pivoted fields. The aggregate values of this field become the values of the new pivoted fields.

groupbyList(FieldName)

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

limitfloat

An optional parameter indicating the maximum number of pivoted fields to generate. The default ( 0 ) applies no limit. The pivoted pivot names are sorted in ascending order prior to enforcing the limit. Default value: 0

opAggregateOp

The aggregation operation to apply to grouped value field values. Default value: sum

__init__(pivot=Undefined, value=Undefined, groupby=Undefined, limit=Undefined, op=Undefined, **kwds)

Methods

__init__([pivot, value, groupby, limit, op])
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