altair.IntervalSelection

class altair.IntervalSelection(type=Undefined, bind=Undefined, clear=Undefined, empty=Undefined, encodings=Undefined, fields=Undefined, init=Undefined, mark=Undefined, on=Undefined, resolve=Undefined, translate=Undefined, zoom=Undefined, **kwds)

IntervalSelection schema wrapper

Mapping(required=[type])

Attributes:
type : enum(‘interval’)

Determines the default event processing and data query for the selection. Vega-Lite currently supports three selection types:

  • "single" – to select a single discrete data value on click.
  • "multi" – to select multiple discrete data value; the first value is selected on click and additional values toggled on shift- click.
  • "interval" – to select a continuous range of data values on drag.
bind : enum(‘scales’)

Establishes a two-way binding between the interval selection and the scales used within the same view. This allows a user to interactively pan and zoom the view.

See also: bind documentation.

clear : anyOf(Stream, string, boolean)

Clears the selection, emptying it of all values. Can be a Event Stream or false to disable.

Default value: dblclick.

See also: clear documentation.

empty : enum(‘all’, ‘none’)

By default, all data values are considered to lie within an empty selection. When set to none, empty selections contain no data values.

encodings : List(SingleDefUnitChannel)

An array of encoding channels. The corresponding data field values must match for a data tuple to fall within the selection.

See also: encodings documentation.

fields : List(FieldName)

An array of field names whose values must match for a data tuple to fall within the selection.

See also: fields documentation.

init : SelectionInitIntervalMapping

Initialize the selection with a mapping between projected channels or field names and arrays of initial values.

See also: init documentation.

mark : BrushConfig

An interval selection also adds a rectangle mark to depict the extents of the interval. The mark property can be used to customize the appearance of the mark.

See also: mark documentation.

on : anyOf(Stream, string)

A Vega event stream (object or selector) that triggers the selection. For interval selections, the event stream must specify a start and end.

resolve : SelectionResolution

With layered and multi-view displays, a strategy that determines how selections’ data queries are resolved when applied in a filter transform, conditional encoding rule, or scale domain.

See also: resolve documentation.

translate : anyOf(string, boolean)

When truthy, allows a user to interactively move an interval selection back-and-forth. Can be true, false (to disable panning), or a Vega event stream definition which must include a start and end event to trigger continuous panning.

Default value: true, which corresponds to [mousedown, window:mouseup] > window:mousemove! which corresponds to clicks and dragging within an interval selection to reposition it.

See also: translate documentation.

zoom : anyOf(string, boolean)

When truthy, allows a user to interactively resize an interval selection. Can be true, false (to disable zooming), or a Vega event stream definition. Currently, only wheel events are supported.

Default value: true, which corresponds to wheel!.

See also: zoom documentation.

__init__(type=Undefined, bind=Undefined, clear=Undefined, empty=Undefined, encodings=Undefined, fields=Undefined, init=Undefined, mark=Undefined, on=Undefined, resolve=Undefined, translate=Undefined, zoom=Undefined, **kwds)

Methods

__init__([type, bind, clear, empty, …])
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
copy(deep=True, ignore=())

Return a copy of the object

Parameters:
deep : boolean or list, optional

If True (default) then return a deep copy of all dict, list, and SchemaBase objects within the object structure. If False, then only copy the top object. If a list or iterable, then only copy the listed attributes.

ignore : list, optional

A list of keys for which the contents should not be copied, but only stored by reference.

from_dict(dct, validate=True, _wrapper_classes=None)

Construct class from a dictionary representation

Parameters:
dct : dictionary

The dict from which to construct the class

validate : boolean

If True (default), then validate the input against the schema.

_wrapper_classes : list (optional)

The set of SchemaBase classes to use when constructing wrappers of the dict inputs. If not specified, the result of cls._default_wrapper_classes will be used.

Returns:
obj : Schema object

The wrapped schema

Raises:
jsonschema.ValidationError :

if validate=True and dct does not conform to the schema

from_json(json_string, validate=True, **kwargs)

Instantiate the object from a valid JSON string

Parameters:
json_string : string

The string containing a valid JSON chart specification.

validate : boolean

If True (default), then validate the input against the schema.

**kwargs :

Additional keyword arguments are passed to json.loads

Returns:
chart : Chart object

The altair Chart object built from the specification.

resolve_references(schema=None)

Resolve references in the context of this object’s schema or root schema.

to_dict(validate=True, ignore=None, context=None)

Return a dictionary representation of the object

Parameters:
validate : boolean or string

If True (default), then validate the output dictionary against the schema. If “deep” then recursively validate all objects in the spec. This takes much more time, but it results in friendlier tracebacks for large objects.

ignore : list

A list of keys to ignore. This will not passed to child to_dict function calls.

context : dict (optional)

A context dictionary that will be passed to all child to_dict function calls

Returns:
dct : dictionary

The dictionary representation of this object

Raises:
jsonschema.ValidationError :

if validate=True and the dict does not conform to the schema

to_json(validate=True, ignore=[], context={}, indent=2, sort_keys=True, **kwargs)

Emit the JSON representation for this object as a string.

Parameters:
validate : boolean or string

If True (default), then validate the output dictionary against the schema. If “deep” then recursively validate all objects in the spec. This takes much more time, but it results in friendlier tracebacks for large objects.

ignore : list

A list of keys to ignore. This will not passed to child to_dict function calls.

context : dict (optional)

A context dictionary that will be passed to all child to_dict function calls

indent : integer, default 2

the number of spaces of indentation to use

sort_keys : boolean, default True

if True, sort keys in the output

**kwargs

Additional keyword arguments are passed to json.dumps()

Returns:
spec : string

The JSON specification of the chart object.

validate(instance, schema=None)

Validate the instance against the class schema in the context of the rootschema.

validate_property(name, value, schema=None)

Validate a property against property schema in the context of the rootschema