gosling.Stroke¶
- class gosling.Stroke(shorthand=Undefined, domain=Undefined, field=Undefined, legend=Undefined, range=Undefined, scaleOffset=Undefined, title=Undefined, type=Undefined, **kwds)¶
Stroke schema wrapper
Mapping(required=[shorthand])
- Attributes:
- shorthandstring
shorthand for field, aggregate, and type
- domain
ValueExtent Values of the data
- fieldstring
Name of the data field
- legendboolean
Whether to display legend. __Default__: false
- range
Range Ranges of visual channel values
- scaleOffsetList(float)
Whether to use offset of the domain proportionally. This is bound to brushes on the color legend. __Default__: [0, 1]
- titlestring
Title of the legend. __Default__: undefined
- typeenum(‘quantitative’, ‘nominal’)
Specify the data type
- __init__(shorthand=Undefined, domain=Undefined, field=Undefined, legend=Undefined, range=Undefined, scaleOffset=Undefined, title=Undefined, type=Undefined, **kwds)¶
Methods
__init__([shorthand, domain, field, legend, ...])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