Annulus¶
- class Annulus(*args, **kwargs)[source]¶
- Bases: - bokeh.models.glyph.XYGlyph,- bokeh.models.glyph.LineGlyph,- bokeh.models.glyph.FillGlyph,- bokeh.models.glyph.HatchGlyph- Render annuli. - Example - import numpy as np from bokeh.io import curdoc, show from bokeh.models import Annulus, ColumnDataSource, Grid, LinearAxis, Plot N = 9 x = np.linspace(-2, 2, N) y = x**2 source = ColumnDataSource(dict(x=x, y=y)) plot = Plot( title=None, width=300, height=300, min_border=0, toolbar_location=None) glyph = Annulus(x="x", y="y", inner_radius=.2, outer_radius=.4, fill_color="#7fc97f") plot.add_glyph(source, glyph) xaxis = LinearAxis() plot.add_layout(xaxis, 'below') yaxis = LinearAxis() plot.add_layout(yaxis, 'left') plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker)) plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker)) curdoc().add_root(plot) show(plot) - JSON Prototype- { "fill_alpha": { "value": 1.0 }, "fill_color": { "value": "gray" }, "hatch_alpha": { "value": 1.0 }, "hatch_color": { "value": "black" }, "hatch_extra": {}, "hatch_pattern": { "value": null }, "hatch_scale": { "value": 12.0 }, "hatch_weight": { "value": 1.0 }, "id": "1956", "inner_radius": { "field": "inner_radius" }, "js_event_callbacks": {}, "js_property_callbacks": {}, "line_alpha": { "value": 1.0 }, "line_cap": { "value": "butt" }, "line_color": { "value": "black" }, "line_dash": { "value": [] }, "line_dash_offset": { "value": 0 }, "line_join": { "value": "bevel" }, "line_width": { "value": 1 }, "name": null, "outer_radius": { "field": "outer_radius" }, "subscribed_events": [], "syncable": true, "tags": [], "x": { "field": "x" }, "y": { "field": "y" } } - Public Data Attributes: - The x-coordinates of the center of the annuli. - The y-coordinates of the center of the annuli. - Units to use for the associated property: screen or data - The inner radii of the annuli. - Units to use for the associated property: screen or data - The outer radii of the annuli. - The line dash offset values for the annuli. - The line cap values for the annuli. - The line dash values for the annuli. - The line alpha values for the annuli. - The line join values for the annuli. - The line color values for the annuli. - The line width values for the annuli. - The fill color values for the annuli. - The fill alpha values for the annuli. - The hatch color values for the annuli. - The hatch weight values for the annuli. - The hatch extra values for the annuli. - The hatch pattern values for the annuli. - The hatch alpha values for the annuli. - The hatch scale values for the annuli. - Inherited from : py: class:Model- model_class_reverse_map- id- ref- A Bokeh protocol "structure" of this model, i.e. a dict of the form:. - An arbitrary, user-supplied name for this model. - An optional list of arbitrary, user-supplied values to attach to this model. - js_event_callbacks- A mapping of event names to lists of - CustomJScallbacks.- subscribed_events- List of events that are subscribed to by Python callbacks. - js_property_callbacks- A mapping of attribute names to lists of - CustomJScallbacks, to be set up on BokehJS side when the document is created.- Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser. - Public Methods: - Inherited from : py: class:Glyph- Generate Python - Parametervalues suitable for functions that are derived from the glyph.- Inherited from : py: class:Model- __init_subclass__()- This method is called when a class is subclassed. - __new__(cls, *args, **kwargs)- __init__(**kwargs)- __str__()- Return str(self). - __repr__()- Return repr(self). - destroy()- Clean up references to the document and property - js_on_event(event, *callbacks)- js_link(attr, other, other_attr[, attr_selector])- Link two Bokeh model properties using JavaScript. - js_on_change(event, *callbacks)- Attach a - CustomJScallback to an arbitrary BokehJS model event.- on_change(attr, *callbacks)- Add a callback on this object to trigger when - attrchanges.- Returns all - Modelsthat this object has references to.- select(selector)- Query this object and all of its references for objects that match the given selector. - select_one(selector)- Query this object and all of its references for objects that match the given selector. - set_select(selector, updates)- Update objects that match a given selector with the specified attribute/value updates. - to_json(include_defaults)- Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list). - to_json_string(include_defaults)- Returns a JSON string encoding the attributes of this object. - trigger(attr, old, new[, hint, setter])- Inherited from : py: class:HasProps- __init__(**kwargs)- __setattr__(name, value)- Intercept attribute setting on HasProps in order to special case a few situations: - __getattr__(name)- Intercept attribute setting on HasProps in order to special case a few situations: - __str__()- Return str(self). - __repr__()- Return repr(self). - equals(other)- Structural equality of models. - static_to_serializable(serializer)- to_serializable(serializer)- set_from_json(name, json, *[, models, setter])- Set a property value on this object from JSON. - update(**kwargs)- Updates the object's properties from the given keyword arguments. - update_from_json(json_attributes, *[, ...])- Updates the object's properties from a JSON attributes dictionary. - lookup(name, *[, raises])- Find the - PropertyDescriptorfor a Bokeh property on a class, given the property name.- properties(*[, _with_props])- Collect the names of properties on this class. - Collect the names of all properties on this class that also have references. - Collect the names of all - DataSpecproperties on this class.- properties_with_values(*[, ...])- Collect a dict mapping property names to their values. - query_properties_with_values(query, *[, ...])- Query the properties values of - HasPropsinstances with a predicate.- Get any theme-provided overrides. - apply_theme(property_values)- Apply a set of theme values which will be used rather than defaults, but will not override application-set values. - Remove any themed values and restore defaults. - Inherited from : py: class:HasDocumentRef- __init__(**kwargs)- Inherited from : py: class:PropertyCallbackManager- __init__(**kwargs)- on_change(attr, *callbacks)- Add a callback on this object to trigger when - attrchanges.- remove_on_change(attr, *callbacks)- Remove a callback from this object - trigger(attr, old, new[, hint, setter])- Inherited from : py: class:EventCallbackManager- __init__(**kwargs)- on_event(event, *callbacks)- Run callbacks when the specified event occurs on this Model 
 - hatch_pattern = None¶
- Type
- HatchPatternSpec
 - The hatch pattern values for the annuli. 
 - hatch_scale = 12.0¶
- Type
 - The hatch scale values for the annuli. 
 - hatch_weight = 1.0¶
- Type
 - The hatch weight values for the annuli. 
 - inner_radius = {'field': 'inner_radius'}¶
- Type
 - The inner radii of the annuli. 
 - inner_radius_units = 'data'¶
- Type
 - Units to use for the associated property: screen or data 
 - line_cap = 'butt'¶
- Type
- LineCapSpec
 - The line cap values for the annuli. 
 - line_dash = []¶
- Type
- DashPatternSpec
 - The line dash values for the annuli. 
 - line_dash_offset = 0¶
- Type
- IntSpec
 - The line dash offset values for the annuli. 
 - line_join = 'bevel'¶
- Type
- LineJoinSpec
 - The line join values for the annuli. 
 - line_width = 1¶
- Type
 - The line width values for the annuli. 
 - name = None¶
- 
An arbitrary, user-supplied name for this model. This name can be useful when querying the document to retrieve specific Bokeh models. >>> plot.circle([1,2,3], [4,5,6], name="temp") >>> plot.select(name="temp") [GlyphRenderer(id='399d53f5-73e9-44d9-9527-544b761c7705', ...)] Note No uniqueness guarantees or other conditions are enforced on any names that are provided, nor is the name used directly by Bokeh for any reason. 
 - outer_radius = {'field': 'outer_radius'}¶
- Type
 - The outer radii of the annuli. 
 - outer_radius_units = 'data'¶
- Type
 - Units to use for the associated property: screen or data 
 - syncable = True¶
- Type
 - Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser. Setting to - Falsemay be useful to reduce network traffic when dealing with frequently updated objects whose updated values we don’t need.- Note - Setting this property to - Falsewill prevent any- on_change()callbacks on this object from triggering. However, any JS-side callbacks will still work.
 - tags = []¶
- Type
 - An optional list of arbitrary, user-supplied values to attach to this model. - This data can be useful when querying the document to retrieve specific Bokeh models: - >>> r = plot.circle([1,2,3], [4,5,6]) >>> r.tags = ["foo", 10] >>> plot.select(tags=['foo', 10]) [GlyphRenderer(id='1de4c3df-a83d-480a-899b-fb263d3d5dd9', ...)] - Or simply a convenient way to attach any necessary metadata to a model that can be accessed by - CustomJScallbacks, etc.- Note - No uniqueness guarantees or other conditions are enforced on any tags that are provided, nor are the tags used directly by Bokeh for any reason. 
 - x = {'field': 'x'}¶
- Type
 - The x-coordinates of the center of the annuli. 
 - y = {'field': 'y'}¶
- Type
 - The y-coordinates of the center of the annuli. 
 - apply_theme(property_values: Dict[str, Any]) None¶
- Apply a set of theme values which will be used rather than defaults, but will not override application-set values. - The passed-in dictionary may be kept around as-is and shared with other instances to save memory (so neither the caller nor the - HasPropsinstance should modify it).- Parameters
- property_values (dict) – theme values to use in place of defaults 
- Returns
- None 
 
 - classmethod dataspecs() Dict[str, DataSpec]¶
- Collect the names of all - DataSpecproperties on this class.- This method always traverses the class hierarchy and includes properties defined on any parent classes. 
 - equals(other: bokeh.core.has_props.HasProps) bool¶
- Structural equality of models. - Parameters
- other (HasProps) – the other instance to compare to 
- Returns
- True, if properties are structurally equal, otherwise False 
 
 - js_link(attr: str, other: bokeh.model.model.Model, other_attr: str, attr_selector: Optional[Union[int, str]] = None) None¶
- Link two Bokeh model properties using JavaScript. - This is a convenience method that simplifies adding a CustomJS callback to update one Bokeh model property whenever another changes value. - Parameters
 - Added in version 1.1 - Raises
 - Examples - This code with - js_link:- select.js_link('value', plot, 'sizing_mode') - is equivalent to the following: - from bokeh.models import CustomJS select.js_on_change('value', CustomJS(args=dict(other=plot), code="other.sizing_mode = this.value" ) ) - Additionally, to use attr_selector to attach the left side of a range slider to a plot’s x_range: - range_slider.js_link('value', plot.x_range, 'start', attr_selector=0) - which is equivalent to: - from bokeh.models import CustomJS range_slider.js_on_change('value', CustomJS(args=dict(other=plot.x_range), code="other.start = this.value[0]" ) ) 
 - js_on_change(event: str, *callbacks: JSEventCallback) None¶
- Attach a - CustomJScallback to an arbitrary BokehJS model event.- On the BokehJS side, change events for model properties have the form - "change:property_name". As a convenience, if the event name passed to this method is also the name of a property on the model, then it will be prefixed with- "change:"automatically:- # these two are equivalent source.js_on_change('data', callback) source.js_on_change('change:data', callback) - However, there are other kinds of events that can be useful to respond to, in addition to property change events. For example to run a callback whenever data is streamed to a - ColumnDataSource, use the- "stream"event on the source:- source.js_on_change('streaming', callback) 
 - classmethod lookup(name: str, *, raises: bool = True) Optional[bokeh.core.property.descriptors.PropertyDescriptor[Any]]¶
- Find the - PropertyDescriptorfor a Bokeh property on a class, given the property name.- Parameters
- Returns
- descriptor for property named - name
- Return type
 
 - on_change(attr: str, *callbacks: PropertyCallback) None¶
- Add a callback on this object to trigger when - attrchanges.- Parameters
- attr (str) – an attribute name on this object 
- *callbacks (callable) – callback functions to register 
 
- Returns
- None 
 - Example: - widget.on_change('value', callback1, callback2, ..., callback_n) 
 - on_event(event: Union[str, Type[bokeh.events.Event]], *callbacks: Union[Callable[[bokeh.events.Event], None], Callable[[], None]]) None¶
- Run callbacks when the specified event occurs on this Model - Not all Events are supported for all Models. See specific Events in bokeh.events for more information on which Models are able to trigger them. 
 - classmethod parameters()¶
- Generate Python - Parametervalues suitable for functions that are derived from the glyph.- Returns
- list(Parameter) 
 
 - classmethod properties(*, _with_props: bool = False) Union[Set[str], Dict[str, Property[Any]]]¶
- Collect the names of properties on this class. - Warning - In a future version of Bokeh, this method will return a dictionary mapping property names to property objects. To future-proof this current usage of this method, wrap the return value in - list.- Returns
- property names 
 
 - classmethod properties_with_refs() Dict[str, Property[Any]]¶
- Collect the names of all properties on this class that also have references. - This method always traverses the class hierarchy and includes properties defined on any parent classes. 
 - properties_with_values(*, include_defaults: bool = True, include_undefined: bool = False) Dict[str, Any]¶
- Collect a dict mapping property names to their values. - This method always traverses the class hierarchy and includes properties defined on any parent classes. - Non-serializable properties are skipped and property values are in “serialized” format which may be slightly different from the values you would normally read from the properties; the intent of this method is to return the information needed to losslessly reconstitute the object instance. 
 - query_properties_with_values(query: Callable[[bokeh.core.property.descriptors.PropertyDescriptor[Any]], bool], *, include_defaults: bool = True, include_undefined: bool = False) Dict[str, Any]¶
- Query the properties values of - HasPropsinstances with a predicate.- Parameters
- query (callable) – A callable that accepts property descriptors and returns True or False 
- include_defaults (bool, optional) – Whether to include properties that have not been explicitly set by a user (default: True) 
 
- Returns
- mapping of property names and values for matching properties 
- Return type
 
 - references() Set[bokeh.model.model.Model]¶
- Returns all - Modelsthat this object has references to.
 - remove_on_change(attr: str, *callbacks: Callable[[str, Any, Any], None]) None¶
- Remove a callback from this object 
 - select(selector: SelectorType) Iterable[Model]¶
- Query this object and all of its references for objects that match the given selector. - Parameters
- selector (JSON-like) – 
- Returns
- seq[Model] 
 
 - select_one(selector: SelectorType) Model | None¶
- Query this object and all of its references for objects that match the given selector. Raises an error if more than one object is found. Returns single matching object, or None if nothing is found :param selector: :type selector: JSON-like - Returns
- Model 
 
 - set_from_json(name: str, json: JSON, *, models: Dict[ID, HasProps] | None = None, setter: Setter | None = None) None¶
- Set a property value on this object from JSON. - Parameters
- name – (str) : name of the attribute to set 
- json – (JSON-value) : value to set to the attribute to 
- models (dict or None, optional) – - Mapping of model ids to models (default: None) - This is needed in cases where the attributes to update also have values that have references. 
- setter (ClientSession or ServerSession or None, optional) – - This is used to prevent “boomerang” updates to Bokeh apps. - In the context of a Bokeh server application, incoming updates to properties will be annotated with the session that is doing the updating. This value is propagated through any subsequent change notifications that the update triggers. The session can compare the event setter to itself, and suppress any updates that originate from itself. 
 
- Returns
- None 
 
 - set_select(selector: Type[Model] | SelectorType, updates: Dict[str, Unknown]) None¶
- Update objects that match a given selector with the specified attribute/value updates. - Parameters
- selector (JSON-like) – 
- updates (dict) – 
 
- Returns
- None 
 
 - themed_values() Optional[Dict[str, Any]]¶
- Get any theme-provided overrides. - Results are returned as a dict from property name to value, or - Noneif no theme overrides any values for this instance.- Returns
- dict or None 
 
 - to_json(include_defaults: bool) JSON¶
- Returns a dictionary of the attributes of this object, containing only “JSON types” (string, number, boolean, none, dict, list). - References to other objects are serialized as “refs” (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects. - There’s no corresponding - from_json()because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).- For most purposes it’s best to serialize and deserialize entire documents. - Parameters
- include_defaults (bool) – whether to include attributes that haven’t been changed from the default 
 
 - to_json_string(include_defaults: bool) str¶
- Returns a JSON string encoding the attributes of this object. - References to other objects are serialized as references (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects. - There’s no corresponding - from_json_string()because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).- For most purposes it’s best to serialize and deserialize entire documents. - Parameters
- include_defaults (bool) – whether to include attributes that haven’t been changed from the default 
 
 - trigger(attr: str, old: Unknown, new: Unknown, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) None¶
 - update(**kwargs: Any) None¶
- Updates the object’s properties from the given keyword arguments. - Returns
- None 
 - Examples - The following are equivalent: - from bokeh.models import Range1d r = Range1d # set properties individually: r.start = 10 r.end = 20 # update properties together: r.update(start=10, end=20) 
 - update_from_json(json_attributes: Dict[str, JSON], *, models: Mapping[ID, HasProps] | None = None, setter: Setter | None = None) None¶
- Updates the object’s properties from a JSON attributes dictionary. - Parameters
- json_attributes – (JSON-dict) : attributes and values to update 
- models (dict or None, optional) – - Mapping of model ids to models (default: None) - This is needed in cases where the attributes to update also have values that have references. 
- setter (ClientSession or ServerSession or None, optional) – - This is used to prevent “boomerang” updates to Bokeh apps. - In the context of a Bokeh server application, incoming updates to properties will be annotated with the session that is doing the updating. This value is propagated through any subsequent change notifications that the update triggers. The session can compare the event setter to itself, and suppress any updates that originate from itself. 
 
- Returns
- None 
 
 - property struct: bokeh.core.types.ReferenceJson¶
- A Bokeh protocol “structure” of this model, i.e. a dict of the form: - { 'type' : << view model name >> 'id' : << unique model id >> } - Additionally there may be a subtype field if this model is a subtype.