altair.PivotTransform#
- class altair.PivotTransform(pivot=Undefined, value=Undefined, groupby=Undefined, limit=Undefined, op=Undefined, **kwds)#
PivotTransform schema wrapper
Mapping(required=[pivot, value])
- Attributes
- pivot
FieldName The data field to pivot on. The unique values of this field become new field names in the output stream.
- value
FieldName 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 pivotedpivotnames are sorted in ascending order prior to enforcing the limit. Default value:0- op
AggregateOp The aggregation operation to apply to grouped
valuefield values. Default value:sum
- pivot
- __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