annotations

Renderers for various kinds of annotations that can be added to plots.

class Angular(*args: Any, id: ID | None = None, **kwargs: Any)

Bases: CustomDimensional

Units of angular measurement.

JSON Prototype

{
  "basis": {
    "entries": [
      [
        "\u00b0", 
        [
          1, 
          "^\\circ", 
          "degree"
        ]
      ], 
      [
        "'", 
        [
          0.016666666666666666, 
          "^\\prime", 
          "minute"
        ]
      ], 
      [
        "''", 
        [
          0.0002777777777777778, 
          "^{\\prime\\prime}", 
          "second"
        ]
      ]
    ], 
    "type": "map"
  }, 
  "exclude": [], 
  "id": "p51909", 
  "include": null, 
  "js_event_callbacks": {
    "type": "map"
  }, 
  "js_property_callbacks": {
    "type": "map"
  }, 
  "name": null, 
  "subscribed_events": {
    "type": "set"
  }, 
  "syncable": true, 
  "tags": [], 
  "ticks": [
    1, 
    3, 
    6, 
    12, 
    60, 
    120, 
    240, 
    360
  ]
}

basis = {'°': (1, '^\\circ', 'degree'), "'": (0.016666666666666666, '^\\prime', 'minute'), "''": (0.0002777777777777778, '^{\\prime\\prime}', 'second')}

Type:

Required(Dict(String, Either(Tuple(Float, String), Tuple(Float, String, String))))

The basis defining the units of measurement.

This consists of a mapping between short unit names and their corresponding scaling factors, TeX names and optional long names. For example, the basis for defining angular units of measurement is:

basis = {
    "°":  (1,      "^\circ",           "degree"),
    "'":  (1/60,   "^\prime",          "minute"),
    "''": (1/3600, "^{\prime\prime}", "second"),
}

exclude = []

Type:

List

A subset of units from the basis to avoid.

include = None

Type:

Nullable(List)

An optional subset of preferred units from the basis.

name = None

Type:

Nullable(String)

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.

syncable = True

Type:

Bool

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser. Setting to False may be useful to reduce network traffic when dealing with frequently updated objects whose updated values we don’t need.

Note

Setting this property to False will prevent any on_change() callbacks on this object from triggering. However, any JS-side callbacks will still work.

tags = []

Type:

List

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 CustomJS callbacks, 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.

ticks = [1, 3, 6, 12, 60, 120, 240, 360]

Type:

Required(List)

Preferred values to choose from in non-exact mode.

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 HasProps instance should modify it).

Parameters:

property_values (dict) – theme values to use in place of defaults

Returns:

None

classmethod clear_extensions() → None

Clear any currently defined custom extensions.

Serialization calls will result in any currently defined custom extensions being included with the generated Document, whether or not there are utlized. This method can be used to clear out all existing custom extension definitions.

clone(**overrides: Any) → Self

Duplicate a HasProps object.

This creates a shallow clone of the original model, i.e. any mutable containers or child models will not be duplicated. Allows to override particular properties while cloning.

classmethod dataspecs() → dict[str, DataSpec]

Collect the names of all DataSpec properties on this class.

This method always traverses the class hierarchy and includes properties defined on any parent classes.

Returns:

names of DataSpec properties

Return type:

set[str]

classmethod descriptors() → list[PropertyDescriptor[Any]]

List of property descriptors in the order of definition.

destroy() → None

Clean up references to the document and property

equals(other: 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: Model, other_attr: str, attr_selector: int | str | None = 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:

• attr (str) – The name of a Bokeh property on this model

• other (Model) – A Bokeh model to link to self.attr

• other_attr (str) – The property on other to link together

• attr_selector (int | str) – The index to link an item in a subscriptable attr

Added in version 1.1

Raises:

ValueError –

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: JSChangeCallback) → None

Attach a CustomJS callback 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) → PropertyDescriptor[Any] | None

Find the PropertyDescriptor for a Bokeh property on a class, given the property name.

Parameters:

• name (str) – name of the property to search for

• raises (bool) – whether to raise or return None if missing

Returns:

descriptor for property named name

Return type:

PropertyDescriptor

on_change(attr: str, *callbacks: PropertyCallback) → None

Add a callback on this object to trigger when attr changes.

Parameters:

• attr (str) – an attribute name on this object

• *callbacks (callable) – callback functions to register

Returns:

None

Examples

widget.on_change('value', callback1, callback2, ..., callback_n)

on_event(event: str | type[Event], *callbacks: Callable[[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() → list[Parameter]

Generate Python Parameter values suitable for functions that are derived from the glyph.

Returns:

list(Parameter)

classmethod properties(*, _with_props: bool = False) → 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.

Returns:

names of properties that have references

Return type:

set[str]

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.

Parameters:

include_defaults (bool, optional) – Whether to include properties that haven’t been explicitly set since the object was created. (default: True)

Returns:

mapping from property names to their values

Return type:

dict

query_properties_with_values(query: Callable[[PropertyDescriptor[Any]], bool], *, include_defaults: bool = True, include_undefined: bool = False) → dict[str, Any]

Query the properties values of HasProps instances 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:

dict

references() → set[Model]

Returns all Models that 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, value: Any, *, setter: Setter | None = None) → None

Set a property value on this object from JSON.

Parameters:

• name (str) – name of the attribute to set

• value (JSON-value) – value to set to the attribute to

• 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, Any]) → None

Update objects that match a given selector with the specified attribute/value updates.

Parameters:

• selector (JSON-like)

• updates (dict)

Returns:

None

themed_values() → dict[str, Any] | None

Get any theme-provided overrides.

Results are returned as a dict from property name to value, or None if no theme overrides any values for this instance.

Returns:

dict or None

to_serializable(serializer: Serializer) → ObjectRefRep

Converts this object to a serializable representation.

trigger(attr: str, old: Any, new: Any, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) → None

unapply_theme() → None

Remove any themed values and restore defaults.

Returns:

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)

property document: Document | None

The Document this model is attached to (can be None)

class Annotation(*args: Any, id: ID | None = None, **kwargs: Any)

Bases: CompositeRenderer

Base class for all annotation models.

Note

This is an abstract base class used to help organize the hierarchy of Bokeh model types. It is not useful to instantiate on its own.

JSON Prototype

{
  "context_menu": null, 
  "coordinates": null, 
  "css_classes": [], 
  "css_variables": {
    "type": "map"
  }, 
  "elements": [], 
  "group": null, 
  "id": "p51917", 
  "js_event_callbacks": {
    "type": "map"
  }, 
  "js_property_callbacks": {
    "type": "map"
  }, 
  "level": "annotation", 
  "name": null, 
  "propagate_hover": false, 
  "renderers": [], 
  "styles": {
    "type": "map"
  }, 
  "stylesheets": [], 
  "subscribed_events": {
    "type": "set"
  }, 
  "syncable": true, 
  "tags": [], 
  "visible": true, 
  "x_range_name": "default", 
  "y_range_name": "default"
}

context_menu = None

Type:

Nullable(Instance(‘.models.ui.Menu’))

A menu to display when user right clicks on the component.

Note

Use shift key when right clicking to display the native context menu.

css_classes = []

Type:

List

A list of additional CSS classes to add to the underlying DOM element.

css_variables = {}

Type:

Dict(String, Instance(Node))

Allows to define dynamically computed CSS variables.

This can be used, for example, to coordinate positioning and styling between canvas’ renderers and/or visuals and HTML-based UI elements.

Variables defined here are equivalent to setting the same variables under :host { ... } in a CSS stylesheet.

Note

This property is experimental and may change at any point.

elements = []

Type:

List

A collection of DOM-based UI elements attached to this renderer.

This can include floating elements like tooltips, allowing to establish a parent-child relationship between this renderer and its UI elements.

Note

This property is an equivalent of Pane.elements in DOM-based UIs.

group = None

Type:

Nullable(Instance(RendererGroup))

Note

This property is experimental and may change at any point.

level = 'annotation'

Type:

Enum(RenderLevel)

Specifies the level in which to paint this renderer.

name = None

Type:

Nullable(String)

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.

propagate_hover = False

Type:

Bool

Allows to propagate hover events to the parent renderer, frame or canvas.

Note

This property is experimental and may change at any point.

renderers = []

Type:

List

A collection of renderers attached to this renderer.

Note

This property is experimental and may change at any point.

styles = {}

Type:

Either(Dict(String, Nullable(String)), Instance(Styles))

Inline CSS styles applied to the underlying DOM element.

stylesheets = []

Type:

List

Additional style-sheets to use for the underlying DOM element.

Note that all bokeh’s components use shadow DOM, thus any included style sheets must reflect that, e.g. use :host CSS pseudo selector to access the root DOM element.

syncable = True

Type:

Bool

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser. Setting to False may be useful to reduce network traffic when dealing with frequently updated objects whose updated values we don’t need.

Note

Setting this property to False will prevent any on_change() callbacks on this object from triggering. However, any JS-side callbacks will still work.

tags = []

Type:

List

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 CustomJS callbacks, 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.

visible = True

Type:

Bool

Is the renderer visible.

x_range_name = 'default'

Type:

String

A particular (named) x-range to use for computing screen locations when rendering glyphs on the plot. If unset, use the default x-range.

y_range_name = 'default'

Type:

String

A particular (named) y-range to use for computing screen locations when rendering glyphs on the plot. If unset, use the default y-range.

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 HasProps instance should modify it).

Parameters:

property_values (dict) – theme values to use in place of defaults

Returns:

None

classmethod clear_extensions() → None

Clear any currently defined custom extensions.

Serialization calls will result in any currently defined custom extensions being included with the generated Document, whether or not there are utlized. This method can be used to clear out all existing custom extension definitions.

clone(**overrides: Any) → Self

Duplicate a HasProps object.

This creates a shallow clone of the original model, i.e. any mutable containers or child models will not be duplicated. Allows to override particular properties while cloning.

classmethod dataspecs() → dict[str, DataSpec]

Collect the names of all DataSpec properties on this class.

This method always traverses the class hierarchy and includes properties defined on any parent classes.

Returns:

names of DataSpec properties

Return type:

set[str]

classmethod descriptors() → list[PropertyDescriptor[Any]]

List of property descriptors in the order of definition.

destroy() → None

Clean up references to the document and property

equals(other: 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: Model, other_attr: str, attr_selector: int | str | None = 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:

• attr (str) – The name of a Bokeh property on this model

• other (Model) – A Bokeh model to link to self.attr

• other_attr (str) – The property on other to link together

• attr_selector (int | str) – The index to link an item in a subscriptable attr

Added in version 1.1

Raises:

ValueError –

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: JSChangeCallback) → None

Attach a CustomJS callback 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) → PropertyDescriptor[Any] | None

Find the PropertyDescriptor for a Bokeh property on a class, given the property name.

Parameters:

• name (str) – name of the property to search for

• raises (bool) – whether to raise or return None if missing

Returns:

descriptor for property named name

Return type:

PropertyDescriptor

on_change(attr: str, *callbacks: PropertyCallback) → None

Add a callback on this object to trigger when attr changes.

Parameters:

• attr (str) – an attribute name on this object

• *callbacks (callable) – callback functions to register

Returns:

None

Examples

widget.on_change('value', callback1, callback2, ..., callback_n)

on_event(event: str | type[Event], *callbacks: Callable[[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() → list[Parameter]

Generate Python Parameter values suitable for functions that are derived from the glyph.

Returns:

list(Parameter)

classmethod properties(*, _with_props: bool = False) → 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.

Returns:

names of properties that have references

Return type:

set[str]

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.

Parameters:

include_defaults (bool, optional) – Whether to include properties that haven’t been explicitly set since the object was created. (default: True)

Returns:

mapping from property names to their values

Return type:

dict

query_properties_with_values(query: Callable[[PropertyDescriptor[Any]], bool], *, include_defaults: bool = True, include_undefined: bool = False) → dict[str, Any]

Query the properties values of HasProps instances 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:

dict

references() → set[Model]

Returns all Models that 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, value: Any, *, setter: Setter | None = None) → None

Set a property value on this object from JSON.

Parameters:

• name (str) – name of the attribute to set

• value (JSON-value) – value to set to the attribute to

• 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, Any]) → None

Update objects that match a given selector with the specified attribute/value updates.

Parameters:

• selector (JSON-like)

• updates (dict)

Returns:

None

themed_values() → dict[str, Any] | None

Get any theme-provided overrides.

Results are returned as a dict from property name to value, or None if no theme overrides any values for this instance.

Returns:

dict or None

to_serializable(serializer: Serializer) → ObjectRefRep

Converts this object to a serializable representation.

trigger(attr: str, old: Any, new: Any, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) → None

unapply_theme() → None

Remove any themed values and restore defaults.

Returns:

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)

property document: Document | None

The Document this model is attached to (can be None)

class Arrow(*args: Any, id: ID | None = None, **kwargs: Any)

Bases: DataAnnotation

Render arrows as an annotation.

See Arrows for information on plotting arrows.

JSON Prototype

{
  "context_menu": null, 
  "coordinates": null, 
  "css_classes": [], 
  "css_variables": {
    "type": "map"
  }, 
  "elements": [], 
  "end": {
    "id": "p51938", 
    "name": "OpenHead", 
    "type": "object"
  }, 
  "end_units": "data", 
  "group": null, 
  "id": "p51934", 
  "js_event_callbacks": {
    "type": "map"
  }, 
  "js_property_callbacks": {
    "type": "map"
  }, 
  "level": "annotation", 
  "line_alpha": {
    "type": "value", 
    "value": 1.0
  }, 
  "line_cap": {
    "type": "value", 
    "value": "butt"
  }, 
  "line_color": {
    "type": "value", 
    "value": "black"
  }, 
  "line_dash": {
    "type": "value", 
    "value": []
  }, 
  "line_dash_offset": {
    "type": "value", 
    "value": 0
  }, 
  "line_join": {
    "type": "value", 
    "value": "bevel"
  }, 
  "line_width": {
    "type": "value", 
    "value": 1
  }, 
  "name": null, 
  "propagate_hover": false, 
  "renderers": [], 
  "source": {
    "attributes": {
      "data": {
        "type": "map"
      }, 
      "selected": {
        "attributes": {
          "indices": [], 
          "line_indices": []
        }, 
        "id": "p51936", 
        "name": "Selection", 
        "type": "object"
      }, 
      "selection_policy": {
        "id": "p51937", 
        "name": "UnionRenderers", 
        "type": "object"
      }
    }, 
    "id": "p51935", 
    "name": "ColumnDataSource", 
    "type": "object"
  }, 
  "start": null, 
  "start_units": "data", 
  "styles": {
    "type": "map"
  }, 
  "stylesheets": [], 
  "subscribed_events": {
    "type": "set"
  }, 
  "syncable": true, 
  "tags": [], 
  "visible": true, 
  "x_end": {
    "field": "x_end", 
    "type": "field"
  }, 
  "x_range_name": "default", 
  "x_start": {
    "field": "x_start", 
    "type": "field"
  }, 
  "y_end": {
    "field": "y_end", 
    "type": "field"
  }, 
  "y_range_name": "default", 
  "y_start": {
    "field": "y_start", 
    "type": "field"
  }
}

context_menu = None

Type:

Nullable(Instance(‘.models.ui.Menu’))

A menu to display when user right clicks on the component.

Note

Use shift key when right clicking to display the native context menu.

css_classes = []

Type:

List

A list of additional CSS classes to add to the underlying DOM element.

css_variables = {}

Type:

Dict(String, Instance(Node))

Allows to define dynamically computed CSS variables.

This can be used, for example, to coordinate positioning and styling between canvas’ renderers and/or visuals and HTML-based UI elements.

Variables defined here are equivalent to setting the same variables under :host { ... } in a CSS stylesheet.

Note

This property is experimental and may change at any point.

elements = []

Type:

List

A collection of DOM-based UI elements attached to this renderer.

This can include floating elements like tooltips, allowing to establish a parent-child relationship between this renderer and its UI elements.

Note

This property is an equivalent of Pane.elements in DOM-based UIs.

end = OpenHead(id='p51964', ...)

Type:

Nullable(Instance(ArrowHead))

Instance of ArrowHead.

end_units = 'data'

Type:

Enum(CoordinateUnits)

The unit type for the end_x and end_y attributes. Interpreted as “data space” units by default.

group = None

Type:

Nullable(Instance(RendererGroup))

Note

This property is experimental and may change at any point.

level = 'annotation'

Type:

Enum(RenderLevel)

Specifies the level in which to paint this renderer.

line_alpha = 1.0

Type:

AlphaSpec

The line alpha values for the arrow body.

line_cap = 'butt'

Type:

LineCapSpec

The line cap values for the arrow body.

line_color = 'black'

Type:

ColorSpec

The line color values for the arrow body.

line_dash = []

Type:

DashPatternSpec

The line dash values for the arrow body.

line_dash_offset = 0

Type:

IntSpec

The line dash offset values for the arrow body.

line_join = 'bevel'

Type:

LineJoinSpec

The line join values for the arrow body.

line_width = 1

Type:

NumberSpec

The line width values for the arrow body.

name = None

Type:

Nullable(String)

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.

propagate_hover = False

Type:

Bool

Allows to propagate hover events to the parent renderer, frame or canvas.

Note

This property is experimental and may change at any point.

renderers = []

Type:

List

A collection of renderers attached to this renderer.

Note

This property is experimental and may change at any point.

source = ColumnDataSource(id='p52035', ...)

Type:

Instance(DataSource)

Local data source to use when rendering annotations on the plot.

start = None

Type:

Nullable(Instance(ArrowHead))

Instance of ArrowHead.

start_units = 'data'

Type:

Enum(CoordinateUnits)

The unit type for the start_x and start_y attributes. Interpreted as “data space” units by default.

styles = {}

Type:

Either(Dict(String, Nullable(String)), Instance(Styles))

Inline CSS styles applied to the underlying DOM element.

stylesheets = []

Type:

List

Additional style-sheets to use for the underlying DOM element.

Note that all bokeh’s components use shadow DOM, thus any included style sheets must reflect that, e.g. use :host CSS pseudo selector to access the root DOM element.

syncable = True

Type:

Bool

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser. Setting to False may be useful to reduce network traffic when dealing with frequently updated objects whose updated values we don’t need.

Note

Setting this property to False will prevent any on_change() callbacks on this object from triggering. However, any JS-side callbacks will still work.

tags = []

Type:

List

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 CustomJS callbacks, 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.

visible = True

Type:

Bool

Is the renderer visible.

x_end = Field(field='x_end', transform=Unspecified, units=Unspecified)

Type:

NumberSpec

The x-coordinates to locate the end of the arrows.

x_range_name = 'default'

Type:

String

A particular (named) x-range to use for computing screen locations when rendering glyphs on the plot. If unset, use the default x-range.

x_start = Field(field='x_start', transform=Unspecified, units=Unspecified)

Type:

NumberSpec

The x-coordinates to locate the start of the arrows.

y_end = Field(field='y_end', transform=Unspecified, units=Unspecified)

Type:

NumberSpec

The y-coordinates to locate the end of the arrows.

y_range_name = 'default'

Type:

String

A particular (named) y-range to use for computing screen locations when rendering glyphs on the plot. If unset, use the default y-range.

y_start = Field(field='y_start', transform=Unspecified, units=Unspecified)

Type:

NumberSpec

The y-coordinates to locate the start of the arrows.

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 HasProps instance should modify it).

Parameters:

property_values (dict) – theme values to use in place of defaults

Returns:

None

classmethod clear_extensions() → None

Clear any currently defined custom extensions.

Serialization calls will result in any currently defined custom extensions being included with the generated Document, whether or not there are utlized. This method can be used to clear out all existing custom extension definitions.

clone(**overrides: Any) → Self

Duplicate a HasProps object.

This creates a shallow clone of the original model, i.e. any mutable containers or child models will not be duplicated. Allows to override particular properties while cloning.

classmethod dataspecs() → dict[str, DataSpec]

Collect the names of all DataSpec properties on this class.

This method always traverses the class hierarchy and includes properties defined on any parent classes.

Returns:

names of DataSpec properties

Return type:

set[str]

classmethod descriptors() → list[PropertyDescriptor[Any]]

List of property descriptors in the order of definition.

destroy() → None

Clean up references to the document and property

equals(other: 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: Model, other_attr: str, attr_selector: int | str | None = 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:

• attr (str) – The name of a Bokeh property on this model

• other (Model) – A Bokeh model to link to self.attr

• other_attr (str) – The property on other to link together

• attr_selector (int | str) – The index to link an item in a subscriptable attr

Added in version 1.1

Raises:

ValueError –

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: JSChangeCallback) → None

Attach a CustomJS callback 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) → PropertyDescriptor[Any] | None

Find the PropertyDescriptor for a Bokeh property on a class, given the property name.

Parameters:

• name (str) – name of the property to search for

• raises (bool) – whether to raise or return None if missing

Returns:

descriptor for property named name

Return type:

PropertyDescriptor

on_change(attr: str, *callbacks: PropertyCallback) → None

Add a callback on this object to trigger when attr changes.

Parameters:

• attr (str) – an attribute name on this object

• *callbacks (callable) – callback functions to register

Returns:

None

Examples

widget.on_change('value', callback1, callback2, ..., callback_n)

on_event(event: str | type[Event], *callbacks: Callable[[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() → list[Parameter]

Generate Python Parameter values suitable for functions that are derived from the glyph.

Returns:

list(Parameter)

classmethod properties(*, _with_props: bool = False) → 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.

Returns:

names of properties that have references

Return type:

set[str]

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.

Parameters:

include_defaults (bool, optional) – Whether to include properties that haven’t been explicitly set since the object was created. (default: True)

Returns:

mapping from property names to their values

Return type:

dict

query_properties_with_values(query: Callable[[PropertyDescriptor[Any]], bool], *, include_defaults: bool = True, include_undefined: bool = False) → dict[str, Any]

Query the properties values of HasProps instances 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:

dict

references() → set[Model]

Returns all Models that 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, value: Any, *, setter: Setter | None = None) → None

Set a property value on this object from JSON.

Parameters:

• name (str) – name of the attribute to set

• value (JSON-value) – value to set to the attribute to

• 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, Any]) → None

Update objects that match a given selector with the specified attribute/value updates.

Parameters:

• selector (JSON-like)

• updates (dict)

Returns:

None

themed_values() → dict[str, Any] | None

Get any theme-provided overrides.

Results are returned as a dict from property name to value, or None if no theme overrides any values for this instance.

Returns:

dict or None

to_serializable(serializer: Serializer) → ObjectRefRep

Converts this object to a serializable representation.

trigger(attr: str, old: Any, new: Any, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) → None

unapply_theme() → None

Remove any themed values and restore defaults.

Returns:

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)

property document: Document | None

The Document this model is attached to (can be None)

class ArrowHead(*args: Any, id: ID | None = None, **kwargs: Any)

Bases: Marking

Base class for arrow heads.

Note

This is an abstract base class used to help organize the hierarchy of Bokeh model types. It is not useful to instantiate on its own.

JSON Prototype

{
  "id": "p52103", 
  "js_event_callbacks": {
    "type": "map"
  }, 
  "js_property_callbacks": {
    "type": "map"
  }, 
  "name": null, 
  "size": {
    "type": "value", 
    "value": 25
  }, 
  "subscribed_events": {
    "type": "set"
  }, 
  "syncable": true, 
  "tags": []
}

name = None

Type:

Nullable(String)

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.

size = 25

Type:

NumberSpec

The size, in pixels, of the arrow head.

syncable = True

Type:

Bool

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser. Setting to False may be useful to reduce network traffic when dealing with frequently updated objects whose updated values we don’t need.

Note

Setting this property to False will prevent any on_change() callbacks on this object from triggering. However, any JS-side callbacks will still work.

tags = []

Type:

List

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 CustomJS callbacks, 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.

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 HasProps instance should modify it).

Parameters:

property_values (dict) – theme values to use in place of defaults

Returns:

None

classmethod clear_extensions() → None

Clear any currently defined custom extensions.

Serialization calls will result in any currently defined custom extensions being included with the generated Document, whether or not there are utlized. This method can be used to clear out all existing custom extension definitions.

clone(**overrides: Any) → Self

Duplicate a HasProps object.

This creates a shallow clone of the original model, i.e. any mutable containers or child models will not be duplicated. Allows to override particular properties while cloning.

classmethod dataspecs() → dict[str, DataSpec]

Collect the names of all DataSpec properties on this class.

This method always traverses the class hierarchy and includes properties defined on any parent classes.

Returns:

names of DataSpec properties

Return type:

set[str]

classmethod descriptors() → list[PropertyDescriptor[Any]]

List of property descriptors in the order of definition.

destroy() → None

Clean up references to the document and property

equals(other: 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: Model, other_attr: str, attr_selector: int | str | None = 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:

• attr (str) – The name of a Bokeh property on this model

• other (Model) – A Bokeh model to link to self.attr

• other_attr (str) – The property on other to link together

• attr_selector (int | str) – The index to link an item in a subscriptable attr

Added in version 1.1

Raises:

ValueError –

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: JSChangeCallback) → None

Attach a CustomJS callback 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) → PropertyDescriptor[Any] | None

Find the PropertyDescriptor for a Bokeh property on a class, given the property name.

Parameters:

• name (str) – name of the property to search for

• raises (bool) – whether to raise or return None if missing

Returns:

descriptor for property named name

Return type:

PropertyDescriptor

on_change(attr: str, *callbacks: PropertyCallback) → None

Add a callback on this object to trigger when attr changes.

Parameters:

• attr (str) – an attribute name on this object

• *callbacks (callable) – callback functions to register

Returns:

None

Examples

widget.on_change('value', callback1, callback2, ..., callback_n)

on_event(event: str | type[Event], *callbacks: Callable[[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() → list[Parameter]

Generate Python Parameter values suitable for functions that are derived from the glyph.

Returns:

list(Parameter)

classmethod properties(*, _with_props: bool = False) → 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.

Returns:

names of properties that have references

Return type:

set[str]

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.

Parameters:

include_defaults (bool, optional) – Whether to include properties that haven’t been explicitly set since the object was created. (default: True)

Returns:

mapping from property names to their values

Return type:

dict

query_properties_with_values(query: Callable[[PropertyDescriptor[Any]], bool], *, include_defaults: bool = True, include_undefined: bool = False) → dict[str, Any]

Query the properties values of HasProps instances 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:

dict

references() → set[Model]

Returns all Models that 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, value: Any, *, setter: Setter | None = None) → None

Set a property value on this object from JSON.

Parameters:

• name (str) – name of the attribute to set

• value (JSON-value) – value to set to the attribute to

• 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, Any]) → None

Update objects that match a given selector with the specified attribute/value updates.

Parameters:

• selector (JSON-like)

• updates (dict)

Returns:

None

themed_values() → dict[str, Any] | None

Get any theme-provided overrides.

Results are returned as a dict from property name to value, or None if no theme overrides any values for this instance.

Returns:

dict or None

to_serializable(serializer: Serializer) → ObjectRefRep

Converts this object to a serializable representation.

trigger(attr: str, old: Any, new: Any, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) → None

unapply_theme() → None

Remove any themed values and restore defaults.

Returns:

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)

property document: Document | None

The Document this model is attached to (can be None)

class Band(*args: Any, id: ID | None = None, **kwargs: Any)

Bases: DataAnnotation

Render a filled area band along a dimension.

See Bands for information on plotting bands.

JSON Prototype

{
  "base": {
    "field": "base", 
    "type": "field"
  }, 
  "context_menu": null, 
  "coordinates": null, 
  "css_classes": [], 
  "css_variables": {
    "type": "map"
  }, 
  "dimension": "height", 
  "elements": [], 
  "fill_alpha": 0.4, 
  "fill_color": "#fff9ba", 
  "group": null, 
  "id": "p52108", 
  "js_event_callbacks": {
    "type": "map"
  }, 
  "js_property_callbacks": {
    "type": "map"
  }, 
  "level": "annotation", 
  "line_alpha": 0.3, 
  "line_cap": "butt", 
  "line_color": "#cccccc", 
  "line_dash": [], 
  "line_dash_offset": 0, 
  "line_join": "bevel", 
  "line_width": 1, 
  "lower": {
    "field": "lower", 
    "type": "field"
  }, 
  "name": null, 
  "propagate_hover": false, 
  "renderers": [], 
  "source": {
    "attributes": {
      "data": {
        "type": "map"
      }, 
      "selected": {
        "attributes": {
          "indices": [], 
          "line_indices": []
        }, 
        "id": "p52110", 
        "name": "Selection", 
        "type": "object"
      }, 
      "selection_policy": {
        "id": "p52111", 
        "name": "UnionRenderers", 
        "type": "object"
      }
    }, 
    "id": "p52109", 
    "name": "ColumnDataSource", 
    "type": "object"
  }, 
  "styles": {
    "type": "map"
  }, 
  "stylesheets": [], 
  "subscribed_events": {
    "type": "set"
  }, 
  "syncable": true, 
  "tags": [], 
  "upper": {
    "field": "upper", 
    "type": "field"
  }, 
  "visible": true, 
  "x_range_name": "default", 
  "y_range_name": "default"
}

base = Field(field='base', transform=Unspecified, units=Unspecified)

Type:

UnitsSpec

The orthogonal coordinates of the upper and lower values.

base_units = 'data'

Type:

NotSerialized(Enum(CoordinateUnits))

Units to use for the associated property: canvas, screen or data

context_menu = None

Type:

Nullable(Instance(‘.models.ui.Menu’))

A menu to display when user right clicks on the component.

Note

Use shift key when right clicking to display the native context menu.

css_classes = []

Type:

List

A list of additional CSS classes to add to the underlying DOM element.

css_variables = {}

Type:

Dict(String, Instance(Node))

Allows to define dynamically computed CSS variables.

This can be used, for example, to coordinate positioning and styling between canvas’ renderers and/or visuals and HTML-based UI elements.

Variables defined here are equivalent to setting the same variables under :host { ... } in a CSS stylesheet.

Note

This property is experimental and may change at any point.

dimension = 'height'

Type:

Enum(Dimension)

The direction of the band can be specified by setting this property to “height” (y direction) or “width” (x direction).

elements = []

Type:

List

A collection of DOM-based UI elements attached to this renderer.

This can include floating elements like tooltips, allowing to establish a parent-child relationship between this renderer and its UI elements.

Note

This property is an equivalent of Pane.elements in DOM-based UIs.

fill_alpha = 0.4

Type:

Alpha

The fill alpha values for the band.

fill_color = '#fff9ba'

Type:

Nullable(Color)

The fill color values for the band.

group = None

Type:

Nullable(Instance(RendererGroup))

Note

This property is experimental and may change at any point.

level = 'annotation'

Type:

Enum(RenderLevel)

Specifies the level in which to paint this renderer.

line_alpha = 0.3

Type:

Alpha

The line alpha values for the band.

line_cap = 'butt'

Type:

Enum(LineCap)

The line cap values for the band.

line_color = '#cccccc'

Type:

Nullable(Color)

The line color values for the band.

line_dash = []

Type:

DashPattern

The line dash values for the band.

line_dash_offset = 0

Type:

Int

The line dash offset values for the band.

line_join = 'bevel'

Type:

Enum(LineJoin)

The line join values for the band.

line_width = 1

Type:

Float

The line width values for the band.

lower = Field(field='lower', transform=Unspecified, units=Unspecified)

Type:

UnitsSpec

The coordinates of the lower portion of the filled area band.

lower_units = 'data'

Type:

NotSerialized(Enum(CoordinateUnits))

Units to use for the associated property: canvas, screen or data

name = None

Type:

Nullable(String)

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.

propagate_hover = False

Type:

Bool

Allows to propagate hover events to the parent renderer, frame or canvas.

Note

This property is experimental and may change at any point.

renderers = []

Type:

List

A collection of renderers attached to this renderer.

Note

This property is experimental and may change at any point.

source = ColumnDataSource(id='p52208', ...)

Type:

Instance(DataSource)

Local data source to use when rendering annotations on the plot.

styles = {}

Type:

Either(Dict(String, Nullable(String)), Instance(Styles))

Inline CSS styles applied to the underlying DOM element.

stylesheets = []

Type:

List

Additional style-sheets to use for the underlying DOM element.

Note that all bokeh’s components use shadow DOM, thus any included style sheets must reflect that, e.g. use :host CSS pseudo selector to access the root DOM element.

syncable = True

Type:

Bool

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser. Setting to False may be useful to reduce network traffic when dealing with frequently updated objects whose updated values we don’t need.

Note

Setting this property to False will prevent any on_change() callbacks on this object from triggering. However, any JS-side callbacks will still work.

tags = []

Type:

List

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 CustomJS callbacks, 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.

upper = Field(field='upper', transform=Unspecified, units=Unspecified)

Type:

UnitsSpec

The coordinates of the upper portion of the filled area band.

upper_units = 'data'

Type:

NotSerialized(Enum(CoordinateUnits))

Units to use for the associated property: canvas, screen or data

visible = True

Type:

Bool

Is the renderer visible.

x_range_name = 'default'

Type:

String

A particular (named) x-range to use for computing screen locations when rendering glyphs on the plot. If unset, use the default x-range.

y_range_name = 'default'

Type:

String

A particular (named) y-range to use for computing screen locations when rendering glyphs on the plot. If unset, use the default y-range.

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 HasProps instance should modify it).

Parameters:

property_values (dict) – theme values to use in place of defaults

Returns:

None

classmethod clear_extensions() → None

Clear any currently defined custom extensions.

Serialization calls will result in any currently defined custom extensions being included with the generated Document, whether or not there are utlized. This method can be used to clear out all existing custom extension definitions.

clone(**overrides: Any) → Self

Duplicate a HasProps object.

This creates a shallow clone of the original model, i.e. any mutable containers or child models will not be duplicated. Allows to override particular properties while cloning.

classmethod dataspecs() → dict[str, DataSpec]

Collect the names of all DataSpec properties on this class.

This method always traverses the class hierarchy and includes properties defined on any parent classes.

Returns:

names of DataSpec properties

Return type:

set[str]

classmethod descriptors() → list[PropertyDescriptor[Any]]

List of property descriptors in the order of definition.

destroy() → None

Clean up references to the document and property

equals(other: 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: Model, other_attr: str, attr_selector: int | str | None = 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:

• attr (str) – The name of a Bokeh property on this model

• other (Model) – A Bokeh model to link to self.attr

• other_attr (str) – The property on other to link together

• attr_selector (int | str) – The index to link an item in a subscriptable attr

Added in version 1.1

Raises:

ValueError –

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: JSChangeCallback) → None

Attach a CustomJS callback 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) → PropertyDescriptor[Any] | None

Find the PropertyDescriptor for a Bokeh property on a class, given the property name.

Parameters:

• name (str) – name of the property to search for

• raises (bool) – whether to raise or return None if missing

Returns:

descriptor for property named name

Return type:

PropertyDescriptor

on_change(attr: str, *callbacks: PropertyCallback) → None

Add a callback on this object to trigger when attr changes.

Parameters:

• attr (str) – an attribute name on this object

• *callbacks (callable) – callback functions to register

Returns:

None

Examples

widget.on_change('value', callback1, callback2, ..., callback_n)

on_event(event: str | type[Event], *callbacks: Callable[[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() → list[Parameter]

Generate Python Parameter values suitable for functions that are derived from the glyph.

Returns:

list(Parameter)

classmethod properties(*, _with_props: bool = False) → 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.

Returns:

names of properties that have references

Return type:

set[str]

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.

Parameters:

include_defaults (bool, optional) – Whether to include properties that haven’t been explicitly set since the object was created. (default: True)

Returns:

mapping from property names to their values

Return type:

dict

query_properties_with_values(query: Callable[[PropertyDescriptor[Any]], bool], *, include_defaults: bool = True, include_undefined: bool = False) → dict[str, Any]

Query the properties values of HasProps instances 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:

dict

references() → set[Model]

Returns all Models that 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, value: Any, *, setter: Setter | None = None) → None

Set a property value on this object from JSON.

Parameters:

• name (str) – name of the attribute to set

• value (JSON-value) – value to set to the attribute to

• 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, Any]) → None

Update objects that match a given selector with the specified attribute/value updates.

Parameters:

• selector (JSON-like)

• updates (dict)

Returns:

None

themed_values() → dict[str, Any] | None

Get any theme-provided overrides.

Results are returned as a dict from property name to value, or None if no theme overrides any values for this instance.

Returns:

dict or None

to_serializable(serializer: Serializer) → ObjectRefRep

Converts this object to a serializable representation.

trigger(attr: str, old: Any, new: Any, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) → None

unapply_theme() → None

Remove any themed values and restore defaults.

Returns:

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)

property document: Document | None

The Document this model is attached to (can be None)

class BoxAnnotation(*args: Any, id: ID | None = None, **kwargs: Any)

Bases: Annotation, AreaVisuals

Render a shaded rectangular region as an annotation.

See Box annotations for information on plotting box annotations.

JSON Prototype

{
  "border_radius": 0, 
  "bottom": {
    "attributes": {
      "symbol": "bottom", 
      "target": "frame"
    }, 
    "id": "p52251", 
    "name": "Node", 
    "type": "object"
  }, 
  "bottom_limit": null, 
  "bottom_units": "data", 
  "context_menu": null, 
  "coordinates": null, 
  "css_classes": [], 
  "css_variables": {
    "type": "map"
  }, 
  "editable": false, 
  "elements": [], 
  "fill_alpha": 0.4, 
  "fill_color": "#fff9ba", 
  "group": null, 
  "handles": {
    "attributes": {
      "all": {
        "attributes": {
          "fill_color": "white", 
          "hover_fill_color": "lightgray"
        }, 
        "id": "p52252", 
        "name": "AreaVisuals", 
        "type": "object"
      }
    }, 
    "id": "p52253", 
    "name": "BoxInteractionHandles", 
    "type": "object"
  }, 
  "hatch_alpha": 1.0, 
  "hatch_color": "black", 
  "hatch_extra": {
    "type": "map"
  }, 
  "hatch_pattern": null, 
  "hatch_scale": 12.0, 
  "hatch_weight": 1.0, 
  "hover_fill_alpha": 0.4, 
  "hover_fill_color": null, 
  "hover_hatch_alpha": 1.0, 
  "hover_hatch_color": "black", 
  "hover_hatch_extra": {
    "type": "map"
  }, 
  "hover_hatch_pattern": null, 
  "hover_hatch_scale": 12.0, 
  "hover_hatch_weight": 1.0, 
  "hover_line_alpha": 0.3, 
  "hover_line_cap": "butt", 
  "hover_line_color": null, 
  "hover_line_dash": [], 
  "hover_line_dash_offset": 0, 
  "hover_line_join": "bevel", 
  "hover_line_width": 1, 
  "id": "p52247", 
  "inverted": false, 
  "js_event_callbacks": {
    "type": "map"
  }, 
  "js_property_callbacks": {
    "type": "map"
  }, 
  "left": {
    "attributes": {
      "symbol": "left", 
      "target": "frame"
    }, 
    "id": "p52248", 
    "name": "Node", 
    "type": "object"
  }, 
  "left_limit": null, 
  "left_units": "data", 
  "level": "annotation", 
  "line_alpha": 0.3, 
  "line_cap": "butt", 
  "line_color": "#cccccc", 
  "line_dash": [], 
  "line_dash_offset": 0, 
  "line_join": "bevel", 
  "line_width": 1, 
  "max_height": {
    "type": "number", 
    "value": "+inf"
  }, 
  "max_width": {
    "type": "number", 
    "value": "+inf"
  }, 
  "min_height": 0, 
  "min_width": 0, 
  "movable": "both", 
  "name": null, 
  "propagate_hover": false, 
  "renderers": [], 
  "resizable": "all", 
  "right": {
    "attributes": {
      "symbol": "right", 
      "target": "frame"
    }, 
    "id": "p52249", 
    "name": "Node", 
    "type": "object"
  }, 
  "right_limit": null, 
  "right_units": "data", 
  "styles": {
    "type": "map"
  }, 
  "stylesheets": [], 
  "subscribed_events": {
    "type": "set"
  }, 
  "symmetric": false, 
  "syncable": true, 
  "tags": [], 
  "top": {
    "attributes": {
      "symbol": "top", 
      "target": "frame"
    }, 
    "id": "p52250", 
    "name": "Node", 
    "type": "object"
  }, 
  "top_limit": null, 
  "top_units": "data", 
  "use_handles": false, 
  "visible": true, 
  "x_range_name": "default", 
  "y_range_name": "default"
}

border_radius = 0

Type:

Either(NonNegative, Tuple(NonNegative, NonNegative, NonNegative, NonNegative), Struct)

Allows the box to have rounded corners.

Note

This property is experimental and may change at any point.

bottom = Node(id='p52268', ...)

Type:

Either(Either(Float, Datetime, Factor), Instance(Node))

The y-coordinates of the bottom edge of the box annotation.

bottom_limit = None

Type:

Nullable(Either(Either(Float, Datetime, Factor), Instance(Node)))

Optional bottom limit for box movement.

Note

This property is experimental and may change at any point.

bottom_units = 'data'

Type:

Enum(CoordinateUnits)

The unit type for the bottom attribute. Interpreted as data units by default. This doesn’t have any effect if bottom is a node.

context_menu = None

Type:

Nullable(Instance(‘.models.ui.Menu’))

A menu to display when user right clicks on the component.

Note

Use shift key when right clicking to display the native context menu.

css_classes = []

Type:

List

A list of additional CSS classes to add to the underlying DOM element.

css_variables = {}

Type:

Dict(String, Instance(Node))

Allows to define dynamically computed CSS variables.

This can be used, for example, to coordinate positioning and styling between canvas’ renderers and/or visuals and HTML-based UI elements.

Variables defined here are equivalent to setting the same variables under :host { ... } in a CSS stylesheet.

Note

This property is experimental and may change at any point.

editable = False

Type:

Bool

Allows to interactively modify the geometry of this box.

Note

This property is experimental and may change at any point.

elements = []

Type:

List

A collection of DOM-based UI elements attached to this renderer.

This can include floating elements like tooltips, allowing to establish a parent-child relationship between this renderer and its UI elements.

Note

This property is an equivalent of Pane.elements in DOM-based UIs.

fill_alpha = 0.4

Type:

Alpha

The fill alpha values for the box.

fill_color = '#fff9ba'

Type:

Nullable(Color)

The fill color values for the box.

group = None

Type:

Nullable(Instance(RendererGroup))

Note

This property is experimental and may change at any point.

handles = BoxInteractionHandles(id='p52347', ...)

Type:

Instance(BoxInteractionHandles)

Configure appearance of interaction handles.

Handles can be configured in bulk in an increasing level of specificity, were each level, if defined, overrides the more generic setting:

• all -> move, resize

• resize -> sides, corners

• sides -> left, right, top, bottom

• corners -> top_left, top_right, bottom_left, bottom_right

Note

This property is experimental and may change at any point.

hatch_alpha = 1.0

Type:

Alpha

The hatch alpha values for the box.

hatch_color = 'black'

Type:

Nullable(Color)

The hatch color values for the box.

hatch_extra = {}

Type:

Dict(String, Instance(Texture))

The hatch extra values for the box.

hatch_pattern = None

Type:

Nullable(String)

The hatch pattern values for the box.

hatch_scale = 12.0

Type:

Size

The hatch scale values for the box.

hatch_weight = 1.0

Type:

Size

The hatch weight values for the box.

hover_fill_alpha = 0.4

Type:

Alpha

The fill alpha values for the box when hovering over.

hover_fill_color = None

Type:

Nullable(Color)

The fill color values for the box when hovering over.

hover_hatch_alpha = 1.0

Type:

Alpha

The hatch alpha values for the box when hovering over.

hover_hatch_color = 'black'

Type:

Nullable(Color)

The hatch color values for the box when hovering over.

hover_hatch_extra = {}

Type:

Dict(String, Instance(Texture))

The hatch extra values for the box when hovering over.

hover_hatch_pattern = None

Type:

Nullable(String)

The hatch pattern values for the box when hovering over.

hover_hatch_scale = 12.0

Type:

Size

The hatch scale values for the box when hovering over.

hover_hatch_weight = 1.0

Type:

Size

The hatch weight values for the box when hovering over.

hover_line_alpha = 0.3

Type:

Alpha

The line alpha values for the box when hovering over.

hover_line_cap = 'butt'

Type:

Enum(LineCap)

The line cap values for the box when hovering over.

hover_line_color = None

Type:

Nullable(Color)

The line color values for the box when hovering over.

hover_line_dash = []

Type:

DashPattern

The line dash values for the box when hovering over.

hover_line_dash_offset = 0

Type:

Int

The line dash offset values for the box when hovering over.

hover_line_join = 'bevel'

Type:

Enum(LineJoin)

The line join values for the box when hovering over.

hover_line_width = 1

Type:

Float

The line width values for the box when hovering over.

inverted = False

Type:

Bool

Inverts the geometry of the box, i.e. applies fill and hatch visuals to the outside of the box instead of the inside. Visuals are applied between the box and its parent, e.g. the frame.

left = Node(id='p52509', ...)

Type:

Either(Either(Float, Datetime, Factor), Instance(Node))

The x-coordinates of the left edge of the box annotation.

left_limit = None

Type:

Nullable(Either(Either(Float, Datetime, Factor), Instance(Node)))

Optional left limit for box movement.

Note

This property is experimental and may change at any point.

left_units = 'data'

Type:

Enum(CoordinateUnits)

The unit type for the left attribute. Interpreted as data units by default. This doesn’t have any effect if left is a node.

level = 'annotation'

Type:

Enum(RenderLevel)

Specifies the level in which to paint this renderer.

line_alpha = 0.3

Type:

Alpha

The line alpha values for the box.

line_cap = 'butt'

Type:

Enum(LineCap)

The line cap values for the box.

line_color = '#cccccc'

Type:

Nullable(Color)

The line color values for the box.

line_dash = []

Type:

DashPattern

The line dash values for the box.

line_dash_offset = 0

Type:

Int

The line dash offset values for the box.

line_join = 'bevel'

Type:

Enum(LineJoin)

The line join values for the box.

line_width = 1

Type:

Float

The line width values for the box.

max_height = inf

Type:

Positive

Allows to set the maximum height of the box.

Note

This property is experimental and may change at any point.

max_width = inf

Type:

Positive

Allows to set the minium height of the box.

Note

This property is experimental and may change at any point.

min_height = 0

Type:

NonNegative

Allows to set the maximum width of the box.

Note

This property is experimental and may change at any point.

min_width = 0

Type:

NonNegative

Allows to set the minium width of the box.

Note

This property is experimental and may change at any point.

movable = 'both'

Type:

Enum(Movable)

If editable is set, this property allows to configure in which directions the box can be moved.

Note

This property is experimental and may change at any point.

name = None

Type:

Nullable(String)

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.

propagate_hover = False

Type:

Bool

Allows to propagate hover events to the parent renderer, frame or canvas.

Note

This property is experimental and may change at any point.

renderers = []

Type:

List

A collection of renderers attached to this renderer.

Note

This property is experimental and may change at any point.

resizable = 'all'

Type:

Enum(Resizable)

If editable is set, this property allows to configure which combinations of edges are allowed to be moved, thus allows restrictions on resizing of the box.

Note

This property is experimental and may change at any point.

right = Node(id='p52650', ...)

Type:

Either(Either(Float, Datetime, Factor), Instance(Node))

The x-coordinates of the right edge of the box annotation.

right_limit = None

Type:

Nullable(Either(Either(Float, Datetime, Factor), Instance(Node)))

Optional right limit for box movement.

Note

This property is experimental and may change at any point.

right_units = 'data'

Type:

Enum(CoordinateUnits)

The unit type for the right attribute. Interpreted as data units by default. This doesn’t have any effect if right is a node.

styles = {}

Type:

Either(Dict(String, Nullable(String)), Instance(Styles))

Inline CSS styles applied to the underlying DOM element.

stylesheets = []

Type:

List

Additional style-sheets to use for the underlying DOM element.

Note that all bokeh’s components use shadow DOM, thus any included style sheets must reflect that, e.g. use :host CSS pseudo selector to access the root DOM element.

symmetric = False

Type:

Bool

Indicates whether the box is resizable around its center or its corners.

Note

This property is experimental and may change at any point.

syncable = True

Type:

Bool

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser. Setting to False may be useful to reduce network traffic when dealing with frequently updated objects whose updated values we don’t need.

Note

Setting this property to False will prevent any on_change() callbacks on this object from triggering. However, any JS-side callbacks will still work.

tags = []

Type:

List

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 CustomJS callbacks, 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.

top = Node(id='p52707', ...)

Type:

Either(Either(Float, Datetime, Factor), Instance(Node))

The y-coordinates of the top edge of the box annotation.

top_limit = None

Type:

Nullable(Either(Either(Float, Datetime, Factor), Instance(Node)))

Optional top limit for box movement.

Note

This property is experimental and may change at any point.

top_units = 'data'

Type:

Enum(CoordinateUnits)

The unit type for the top attribute. Interpreted as data units by default. This doesn’t have any effect if top is a node.

use_handles = False

Type:

Bool

Whether to show interaction (move, resize, etc.) handles.

If handles aren’t used, then the whole annotation, its borders and corners act as if they were interaction handles.

Note

This property is experimental and may change at any point.

visible = True

Type:

Bool

Is the renderer visible.

x_range_name = 'default'

Type:

String

A particular (named) x-range to use for computing screen locations when rendering glyphs on the plot. If unset, use the default x-range.

y_range_name = 'default'

Type:

String

A particular (named) y-range to use for computing screen locations when rendering glyphs on the plot. If unset, use the default y-range.

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 HasProps instance should modify it).

Parameters:

property_values (dict) – theme values to use in place of defaults

Returns:

None

classmethod clear_extensions() → None

Clear any currently defined custom extensions.

Serialization calls will result in any currently defined custom extensions being included with the generated Document, whether or not there are utlized. This method can be used to clear out all existing custom extension definitions.

clone(**overrides: Any) → Self

Duplicate a HasProps object.

This creates a shallow clone of the original model, i.e. any mutable containers or child models will not be duplicated. Allows to override particular properties while cloning.

classmethod dataspecs() → dict[str, DataSpec]

Collect the names of all DataSpec properties on this class.

This method always traverses the class hierarchy and includes properties defined on any parent classes.

Returns:

names of DataSpec properties

Return type:

set[str]

classmethod descriptors() → list[PropertyDescriptor[Any]]

List of property descriptors in the order of definition.

destroy() → None

Clean up references to the document and property

equals(other: 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: Model, other_attr: str, attr_selector: int | str | None = 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:

• attr (str) – The name of a Bokeh property on this model

• other (Model) – A Bokeh model to link to self.attr

• other_attr (str) – The property on other to link together

• attr_selector (int | str) – The index to link an item in a subscriptable attr

Added in version 1.1

Raises:

ValueError –

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: JSChangeCallback) → None

Attach a CustomJS callback 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) → PropertyDescriptor[Any] | None

Find the PropertyDescriptor for a Bokeh property on a class, given the property name.

Parameters:

• name (str) – name of the property to search for

• raises (bool) – whether to raise or return None if missing

Returns:

descriptor for property named name

Return type:

PropertyDescriptor

on_change(attr: str, *callbacks: PropertyCallback) → None

Add a callback on this object to trigger when attr changes.

Parameters:

• attr (str) – an attribute name on this object

• *callbacks (callable) – callback functions to register

Returns:

None

Examples

widget.on_change('value', callback1, callback2, ..., callback_n)

on_event(event: str | type[Event], *callbacks: Callable[[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() → list[Parameter]

Generate Python Parameter values suitable for functions that are derived from the glyph.

Returns:

list(Parameter)

classmethod properties(*, _with_props: bool = False) → 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.

Returns:

names of properties that have references

Return type:

set[str]

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.

Parameters:

include_defaults (bool, optional) – Whether to include properties that haven’t been explicitly set since the object was created. (default: True)

Returns:

mapping from property names to their values

Return type:

dict

query_properties_with_values(query: Callable[[PropertyDescriptor[Any]], bool], *, include_defaults: bool = True, include_undefined: bool = False) → dict[str, Any]

Query the properties values of HasProps instances 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:

dict

references() → set[Model]

Returns all Models that 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, value: Any, *, setter: Setter | None = None) → None

Set a property value on this object from JSON.

Parameters:

• name (str) – name of the attribute to set

• value (JSON-value) – value to set to the attribute to

• 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, Any]) → None

Update objects that match a given selector with the specified attribute/value updates.

Parameters:

• selector (JSON-like)

• updates (dict)

Returns:

None

themed_values() → dict[str, Any] | None

Get any theme-provided overrides.

Results are returned as a dict from property name to value, or None if no theme overrides any values for this instance.

Returns:

dict or None

to_serializable(serializer: Serializer) → ObjectRefRep

Converts this object to a serializable representation.

trigger(attr: str, old: Any, new: Any, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) → None

unapply_theme() → None

Remove any themed values and restore defaults.

Returns:

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)

property document: Document | None

The Document this model is attached to (can be None)

class BoxInteractionHandles(*args: Any, id: ID | None = None, **kwargs: Any)

Bases: Model

Defines interaction handles for box-like annotations.

JSON Prototype

{
  "all": {
    "name": "unset", 
    "type": "symbol"
  }, 
  "bottom": null, 
  "bottom_left": null, 
  "bottom_right": null, 
  "corners": null, 
  "id": "p52750", 
  "js_event_callbacks": {
    "type": "map"
  }, 
  "js_property_callbacks": {
    "type": "map"
  }, 
  "left": null, 
  "move": null, 
  "name": null, 
  "resize": null, 
  "right": null, 
  "sides": null, 
  "subscribed_events": {
    "type": "set"
  }, 
  "syncable": true, 
  "tags": [], 
  "top": null, 
  "top_left": null, 
  "top_right": null
}

name = None

Type:

Nullable(String)

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.

syncable = True

Type:

Bool

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser. Setting to False may be useful to reduce network traffic when dealing with frequently updated objects whose updated values we don’t need.

Note

Setting this property to False will prevent any on_change() callbacks on this object from triggering. However, any JS-side callbacks will still work.

tags = []

Type:

List

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 CustomJS callbacks, 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.

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 HasProps instance should modify it).

Parameters:

property_values (dict) – theme values to use in place of defaults

Returns:

None

classmethod clear_extensions() → None

Clear any currently defined custom extensions.

Serialization calls will result in any currently defined custom extensions being included with the generated Document, whether or not there are utlized. This method can be used to clear out all existing custom extension definitions.

clone(**overrides: Any) → Self

Duplicate a HasProps object.

This creates a shallow clone of the original model, i.e. any mutable containers or child models will not be duplicated. Allows to override particular properties while cloning.

classmethod dataspecs() → dict[str, DataSpec]

Collect the names of all DataSpec properties on this class.

This method always traverses the class hierarchy and includes properties defined on any parent classes.

Returns:

names of DataSpec properties

Return type:

set[str]

classmethod descriptors() → list[PropertyDescriptor[Any]]

List of property descriptors in the order of definition.

destroy() → None

Clean up references to the document and property

equals(other: 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: Model, other_attr: str, attr_selector: int | str | None = 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:

• attr (str) – The name of a Bokeh property on this model

• other (Model) – A Bokeh model to link to self.attr

• other_attr (str) – The property on other to link together

• attr_selector (int | str) – The index to link an item in a subscriptable attr

Added in version 1.1

Raises:

ValueError –

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: JSChangeCallback) → None

Attach a CustomJS callback 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) → PropertyDescriptor[Any] | None

Find the PropertyDescriptor for a Bokeh property on a class, given the property name.

Parameters:

• name (str) – name of the property to search for

• raises (bool) – whether to raise or return None if missing

Returns:

descriptor for property named name

Return type:

PropertyDescriptor

on_change(attr: str, *callbacks: PropertyCallback) → None

Add a callback on this object to trigger when attr changes.

Parameters:

• attr (str) – an attribute name on this object

• *callbacks (callable) – callback functions to register

Returns:

None

Examples

widget.on_change('value', callback1, callback2, ..., callback_n)

on_event(event: str | type[Event], *callbacks: Callable[[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() → list[Parameter]

Generate Python Parameter values suitable for functions that are derived from the glyph.

Returns:

list(Parameter)

classmethod properties(*, _with_props: bool = False) → 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.

Returns:

names of properties that have references

Return type:

set[str]

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.

Parameters:

include_defaults (bool, optional) – Whether to include properties that haven’t been explicitly set since the object was created. (default: True)

Returns:

mapping from property names to their values

Return type:

dict

query_properties_with_values(query: Callable[[PropertyDescriptor[Any]], bool], *, include_defaults: bool = True, include_undefined: bool = False) → dict[str, Any]

Query the properties values of HasProps instances 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:

dict

references() → set[Model]

Returns all Models that 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, value: Any, *, setter: Setter | None = None) → None

Set a property value on this object from JSON.

Parameters:

• name (str) – name of the attribute to set

• value (JSON-value) – value to set to the attribute to

• 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, Any]) → None

Update objects that match a given selector with the specified attribute/value updates.

Parameters:

• selector (JSON-like)

• updates (dict)

Returns:

None

themed_values() → dict[str, Any] | None

Get any theme-provided overrides.

Results are returned as a dict from property name to value, or None if no theme overrides any values for this instance.

Returns:

dict or None

to_serializable(serializer: Serializer) → ObjectRefRep

Converts this object to a serializable representation.

trigger(attr: str, old: Any, new: Any, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) → None

unapply_theme() → None

Remove any themed values and restore defaults.

Returns:

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)

property document: Document | None

The Document this model is attached to (can be None)

class ColorBar(*args: Any, id: ID | None = None, **kwargs: Any)

Bases: BaseColorBar

Render a color bar based on a color mapper.

See Color bars for information on plotting color bars.

JSON Prototype

{
  "background_fill_alpha": 0.95, 
  "background_fill_color": "#ffffff", 
  "bar_line_alpha": 1.0, 
  "bar_line_cap": "butt", 
  "bar_line_color": null, 
  "bar_line_dash": [], 
  "bar_line_dash_offset": 0, 
  "bar_line_join": "bevel", 
  "bar_line_width": 1, 
  "border_line_alpha": 1.0, 
  "border_line_cap": "butt", 
  "border_line_color": null, 
  "border_line_dash": [], 
  "border_line_dash_offset": 0, 
  "border_line_join": "bevel", 
  "border_line_width": 1, 
  "color_mapper": {
    "name": "unset", 
    "type": "symbol"
  }, 
  "context_menu": null, 
  "coordinates": null, 
  "css_classes": [], 
  "css_variables": {
    "type": "map"
  }, 
  "display_high": null, 
  "display_low": null, 
  "elements": [], 
  "formatter": "auto", 
  "group": null, 
  "height": "auto", 
  "id": "p52754", 
  "js_event_callbacks": {
    "type": "map"
  }, 
  "js_property_callbacks": {
    "type": "map"
  }, 
  "label_standoff": 5, 
  "level": "annotation", 
  "location": "top_right", 
  "major_label_overrides": {
    "type": "map"
  }, 
  "major_label_policy": {
    "id": "p52755", 
    "name": "NoOverlap", 
    "type": "object"
  }, 
  "major_label_text_align": "left", 
  "major_label_text_alpha": 1.0, 
  "major_label_text_baseline": "bottom", 
  "major_label_text_color": "#444444", 
  "major_label_text_font": "helvetica", 
  "major_label_text_font_size": "11px", 
  "major_label_text_font_style": "normal", 
  "major_label_text_line_height": 1.2, 
  "major_label_text_outline_color": null, 
  "major_tick_in": 5, 
  "major_tick_line_alpha": 1.0, 
  "major_tick_line_cap": "butt", 
  "major_tick_line_color": "#ffffff", 
  "major_tick_line_dash": [], 
  "major_tick_line_dash_offset": 0, 
  "major_tick_line_join": "bevel", 
  "major_tick_line_width": 1, 
  "major_tick_out": 0, 
  "margin": 30, 
  "minor_tick_in": 0, 
  "minor_tick_line_alpha": 1.0, 
  "minor_tick_line_cap": "butt", 
  "minor_tick_line_color": null, 
  "minor_tick_line_dash": [], 
  "minor_tick_line_dash_offset": 0, 
  "minor_tick_line_join": "bevel", 
  "minor_tick_line_width": 1, 
  "minor_tick_out": 0, 
  "name": null, 
  "orientation": "auto", 
  "padding": 10, 
  "propagate_hover": false, 
  "renderers": [], 
  "scale_alpha": 1.0, 
  "styles": {
    "type": "map"
  }, 
  "stylesheets": [], 
  "subscribed_events": {
    "type": "set"
  }, 
  "syncable": true, 
  "tags": [], 
  "ticker": "auto", 
  "title": null, 
  "title_standoff": 2, 
  "title_text_align": "left", 
  "title_text_alpha": 1.0, 
  "title_text_baseline": "bottom", 
  "title_text_color": "#444444", 
  "title_text_font": "helvetica", 
  "title_text_font_size": "13px", 
  "title_text_font_style": "italic", 
  "title_text_line_height": 1.2, 
  "title_text_outline_color": null, 
  "visible": true, 
  "width": "auto", 
  "x_range_name": "default", 
  "y_range_name": "default"
}

background_fill_alpha = 0.95

Type:

Alpha

The fill alpha for the color bar background style.

background_fill_color = '#ffffff'

Type:

Nullable(Color)

The fill color for the color bar background style.

bar_line_alpha = 1.0

Type:

Alpha

The line alpha for the color scale bar outline.

bar_line_cap = 'butt'

Type:

Enum(LineCap)

The line cap for the color scale bar outline.

bar_line_color = None

Type:

Nullable(Color)

The line color for the color scale bar outline.

bar_line_dash = []

Type:

DashPattern

The line dash for the color scale bar outline.

bar_line_dash_offset = 0

Type:

Int

The line dash offset for the color scale bar outline.

bar_line_join = 'bevel'

Type:

Enum(LineJoin)

The line join for the color scale bar outline.

bar_line_width = 1

Type:

Float

The line width for the color scale bar outline.

border_line_alpha = 1.0

Type:

Alpha

The line alpha for the color bar border outline.

border_line_cap = 'butt'

Type:

Enum(LineCap)

The line cap for the color bar border outline.

border_line_color = None

Type:

Nullable(Color)

The line color for the color bar border outline.

border_line_dash = []

Type:

DashPattern

The line dash for the color bar border outline.

border_line_dash_offset = 0

Type:

Int

The line dash offset for the color bar border outline.

border_line_join = 'bevel'

Type:

Enum(LineJoin)

The line join for the color bar border outline.

border_line_width = 1

Type:

Float

The line width for the color bar border outline.

color_mapper = Undefined

Type:

Instance(ColorMapper)

A color mapper containing a color palette to render.

Warning

If the low and high attributes of the ColorMapper aren’t set, ticks and tick labels won’t be rendered. Additionally, if a LogTicker is passed to the ticker argument and either or both of the logarithms of low and high values of the color_mapper are non-numeric (i.e. low=0), the tick and tick labels won’t be rendered.

context_menu = None

Type:

Nullable(Instance(‘.models.ui.Menu’))

A menu to display when user right clicks on the component.

Note

Use shift key when right clicking to display the native context menu.

css_classes = []

Type:

List

A list of additional CSS classes to add to the underlying DOM element.

css_variables = {}

Type:

Dict(String, Instance(Node))

Allows to define dynamically computed CSS variables.

This can be used, for example, to coordinate positioning and styling between canvas’ renderers and/or visuals and HTML-based UI elements.

Variables defined here are equivalent to setting the same variables under :host { ... } in a CSS stylesheet.

Note

This property is experimental and may change at any point.

display_high = None

Type:

Nullable(Float)

The highest value to display in the color bar. The whole of the color entry containing this value is shown.

display_low = None

Type:

Nullable(Float)

The lowest value to display in the color bar. The whole of the color entry containing this value is shown.

elements = []

Type:

List

A collection of DOM-based UI elements attached to this renderer.

This can include floating elements like tooltips, allowing to establish a parent-child relationship between this renderer and its UI elements.

Note

This property is an equivalent of Pane.elements in DOM-based UIs.

formatter = 'auto'

Type:

Either(Instance(TickFormatter), Auto)

A TickFormatter to use for formatting the visual appearance of ticks.

group = None

Type:

Nullable(Instance(RendererGroup))

Note

This property is experimental and may change at any point.

height = 'auto'

Type:

Either(Auto, Int)

The height (in pixels) that the color scale should occupy.

label_standoff = 5

Type:

Int

The distance (in pixels) to separate the tick labels from the color bar.

level = 'annotation'

Type:

Enum(RenderLevel)

Specifies the level in which to paint this renderer.

location = 'top_right'

Type:

Either(Enum(Anchor), Tuple(Float, Float))

The location where the color bar should draw itself. It’s either one of bokeh.core.enums.Anchor’s enumerated values, or a (x, y) tuple indicating an absolute location absolute location in screen coordinates (pixels from the bottom-left corner).

Warning

If the color bar is placed in a side panel, the location will likely have to be set to (0,0).

major_label_overrides = {}

Type:

Dict(Either(Float, String), TextLike)

Provide explicit tick label values for specific tick locations that override normal formatting.

major_label_policy = NoOverlap(id='p52818', ...)

Type:

Instance(LabelingPolicy)

Allows to filter out labels, e.g. declutter labels to avoid overlap.

major_label_text_align = 'left'

Type:

Enum(TextAlign)

The text align of the major tick labels.

major_label_text_alpha = 1.0

Type:

Alpha

The text alpha of the major tick labels.

major_label_text_baseline = 'bottom'

Type:

Enum(TextBaseline)

The text baseline of the major tick labels.

major_label_text_color = '#444444'

Type:

Nullable(Color)

The text color of the major tick labels.

major_label_text_font = 'helvetica'

Type:

String

The text font of the major tick labels.

major_label_text_font_size = '11px'

Type:

FontSize

The text font size of the major tick labels.

major_label_text_font_style = 'normal'

Type:

Enum(FontStyle)

The text font style of the major tick labels.

major_label_text_line_height = 1.2

Type:

Float

The text line height of the major tick labels.

major_label_text_outline_color = None

Type:

Nullable(Color)

The text outline color of the major tick labels.

major_tick_in = 5

Type:

Int

The distance (in pixels) that major ticks should extend into the main plot area.

major_tick_line_alpha = 1.0

Type:

Alpha

The line alpha of the major ticks.

major_tick_line_cap = 'butt'

Type:

Enum(LineCap)

The line cap of the major ticks.

major_tick_line_color = '#ffffff'

Type:

Nullable(Color)

The line color of the major ticks.

major_tick_line_dash = []

Type:

DashPattern

The line dash of the major ticks.

major_tick_line_dash_offset = 0

Type:

Int

The line dash offset of the major ticks.

major_tick_line_join = 'bevel'

Type:

Enum(LineJoin)

The line join of the major ticks.

major_tick_line_width = 1

Type:

Float

The line width of the major ticks.

major_tick_out = 0

Type:

Int

The distance (in pixels) that major ticks should extend out of the main plot area.

margin = 30

Type:

Int

Amount of margin (in pixels) around the outside of the color bar.

minor_tick_in = 0

Type:

Int

The distance (in pixels) that minor ticks should extend into the main plot area.

minor_tick_line_alpha = 1.0

Type:

Alpha

The line alpha of the minor ticks.

minor_tick_line_cap = 'butt'

Type:

Enum(LineCap)

The line cap of the minor ticks.

minor_tick_line_color = None

Type:

Nullable(Color)

The line color of the minor ticks.

minor_tick_line_dash = []

Type:

DashPattern

The line dash of the minor ticks.

minor_tick_line_dash_offset = 0

Type:

Int

The line dash offset of the minor ticks.

minor_tick_line_join = 'bevel'

Type:

Enum(LineJoin)

The line join of the minor ticks.

minor_tick_line_width = 1

Type:

Float

The line width of the minor ticks.

minor_tick_out = 0

Type:

Int

The distance (in pixels) that major ticks should extend out of the main plot area.

name = None

Type:

Nullable(String)

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.

orientation = 'auto'

Type:

Either(Enum(Orientation), Auto)

Whether the color bar should be oriented vertically or horizontally.

padding = 10

Type:

Int

Amount of padding (in pixels) between the color scale and color bar border.

propagate_hover = False

Type:

Bool

Allows to propagate hover events to the parent renderer, frame or canvas.

Note

This property is experimental and may change at any point.

renderers = []

Type:

List

A collection of renderers attached to this renderer.

Note

This property is experimental and may change at any point.

scale_alpha = 1.0

Type:

Float

The alpha with which to render the color scale.

styles = {}

Type:

Either(Dict(String, Nullable(String)), Instance(Styles))

Inline CSS styles applied to the underlying DOM element.

stylesheets = []

Type:

List

Additional style-sheets to use for the underlying DOM element.

Note that all bokeh’s components use shadow DOM, thus any included style sheets must reflect that, e.g. use :host CSS pseudo selector to access the root DOM element.

syncable = True

Type:

Bool

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser. Setting to False may be useful to reduce network traffic when dealing with frequently updated objects whose updated values we don’t need.

Note

Setting this property to False will prevent any on_change() callbacks on this object from triggering. However, any JS-side callbacks will still work.

tags = []

Type:

List

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 CustomJS callbacks, 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.

ticker = 'auto'

Type:

Either(Instance(Ticker), Auto)

A Ticker to use for computing locations of axis components.

title = None

Type:

Nullable(TextLike)

The title text to render.

title_standoff = 2

Type:

Int

The distance (in pixels) to separate the title from the color bar.

title_text_align = 'left'

Type:

Enum(TextAlign)

The text align values for the title text.

title_text_alpha = 1.0

Type:

Alpha

The text alpha values for the title text.

title_text_baseline = 'bottom'

Type:

Enum(TextBaseline)

The text baseline values for the title text.

title_text_color = '#444444'

Type:

Nullable(Color)

The text color values for the title text.

title_text_font = 'helvetica'

Type:

String

The text font values for the title text.

title_text_font_size = '13px'

Type:

FontSize

The text font size values for the title text.

title_text_font_style = 'italic'

Type:

Enum(FontStyle)

The text font style values for the title text.

title_text_line_height = 1.2

Type:

Float

The text line height values for the title text.

title_text_outline_color = None

Type:

Nullable(Color)

The text outline color values for the title text.

visible = True

Type:

Bool

Is the renderer visible.

width = 'auto'

Type:

Either(Auto, Int)

The width (in pixels) that the color scale should occupy.

x_range_name = 'default'

Type:

String

A particular (named) x-range to use for computing screen locations when rendering glyphs on the plot. If unset, use the default x-range.

y_range_name = 'default'

Type:

String

A particular (named) y-range to use for computing screen locations when rendering glyphs on the plot. If unset, use the default y-range.

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 HasProps instance should modify it).

Parameters:

property_values (dict) – theme values to use in place of defaults

Returns:

None

classmethod clear_extensions() → None

Clear any currently defined custom extensions.

Serialization calls will result in any currently defined custom extensions being included with the generated Document, whether or not there are utlized. This method can be used to clear out all existing custom extension definitions.

clone(**overrides: Any) → Self

Duplicate a HasProps object.

This creates a shallow clone of the original model, i.e. any mutable containers or child models will not be duplicated. Allows to override particular properties while cloning.

classmethod dataspecs() → dict[str, DataSpec]

Collect the names of all DataSpec properties on this class.

This method always traverses the class hierarchy and includes properties defined on any parent classes.

Returns:

names of DataSpec properties

Return type:

set[str]

classmethod descriptors() → list[PropertyDescriptor[Any]]

List of property descriptors in the order of definition.

destroy() → None

Clean up references to the document and property

equals(other: 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: Model, other_attr: str, attr_selector: int | str | None = 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:

• attr (str) – The name of a Bokeh property on this model

• other (Model) – A Bokeh model to link to self.attr

• other_attr (str) – The property on other to link together

• attr_selector (int | str) – The index to link an item in a subscriptable attr

Added in version 1.1

Raises:

ValueError –

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: JSChangeCallback) → None

Attach a CustomJS callback 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) → PropertyDescriptor[Any] | None

Find the PropertyDescriptor for a Bokeh property on a class, given the property name.

Parameters:

• name (str) – name of the property to search for

• raises (bool) – whether to raise or return None if missing

Returns:

descriptor for property named name

Return type:

PropertyDescriptor

on_change(attr: str, *callbacks: PropertyCallback) → None

Add a callback on this object to trigger when attr changes.

Parameters:

• attr (str) – an attribute name on this object

• *callbacks (callable) – callback functions to register

Returns:

None

Examples

widget.on_change('value', callback1, callback2, ..., callback_n)

on_event(event: str | type[Event], *callbacks: Callable[[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() → list[Parameter]

Generate Python Parameter values suitable for functions that are derived from the glyph.

Returns:

list(Parameter)

classmethod properties(*, _with_props: bool = False) → 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.

Returns:

names of properties that have references

Return type:

set[str]

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.

Parameters:

include_defaults (bool, optional) – Whether to include properties that haven’t been explicitly set since the object was created. (default: True)

Returns:

mapping from property names to their values

Return type:

dict

query_properties_with_values(query: Callable[[PropertyDescriptor[Any]], bool], *, include_defaults: bool = True, include_undefined: bool = False) → dict[str, Any]

Query the properties values of HasProps instances 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:

dict

references() → set[Model]

Returns all Models that 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, value: Any, *, setter: Setter | None = None) → None

Set a property value on this object from JSON.

Parameters:

• name (str) – name of the attribute to set

• value (JSON-value) – value to set to the attribute to

• 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, Any]) → None

Update objects that match a given selector with the specified attribute/value updates.

Parameters:

• selector (JSON-like)

• updates (dict)

Returns:

None

themed_values() → dict[str, Any] | None

Get any theme-provided overrides.

Results are returned as a dict from property name to value, or None if no theme overrides any values for this instance.

Returns:

dict or None

to_serializable(serializer: Serializer) → ObjectRefRep

Converts this object to a serializable representation.

trigger(attr: str, old: Any, new: Any, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) → None

unapply_theme() → None

Remove any themed values and restore defaults.

Returns:

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)

property document: Document | None

The Document this model is attached to (can be None)

class ContourColorBar(*args: Any, id: ID | None = None, **kwargs: Any)

Bases: BaseColorBar

Color bar used for contours.

Supports displaying hatch patterns and line styles that contour plots may have as well as the usual fill styles.

Do not create these objects manually, instead use ContourRenderer.color_bar.

JSON Prototype

{
  "background_fill_alpha": 0.95, 
  "background_fill_color": "#ffffff", 
  "bar_line_alpha": 1.0, 
  "bar_line_cap": "butt", 
  "bar_line_color": null, 
  "bar_line_dash": [], 
  "bar_line_dash_offset": 0, 
  "bar_line_join": "bevel", 
  "bar_line_width": 1, 
  "border_line_alpha": 1.0, 
  "border_line_cap": "butt", 
  "border_line_color": null, 
  "border_line_dash": [], 
  "border_line_dash_offset": 0, 
  "border_line_join": "bevel", 
  "border_line_width": 1, 
  "context_menu": null, 
  "coordinates": null, 
  "css_classes": [], 
  "css_variables": {
    "type": "map"
  }, 
  "elements": [], 
  "fill_renderer": {
    "name": "unset", 
    "type": "symbol"
  }, 
  "formatter": "auto", 
  "group": null, 
  "height": "auto", 
  "id": "p52927", 
  "js_event_callbacks": {
    "type": "map"
  }, 
  "js_property_callbacks": {
    "type": "map"
  }, 
  "label_standoff": 5, 
  "level": "annotation", 
  "levels": [], 
  "line_renderer": {
    "name": "unset", 
    "type": "symbol"
  }, 
  "location": "top_right", 
  "major_label_overrides": {
    "type": "map"
  }, 
  "major_label_policy": {
    "id": "p52928", 
    "name": "NoOverlap", 
    "type": "object"
  }, 
  "major_label_text_align": "left", 
  "major_label_text_alpha": 1.0, 
  "major_label_text_baseline": "bottom", 
  "major_label_text_color": "#444444", 
  "major_label_text_font": "helvetica", 
  "major_label_text_font_size": "11px", 
  "major_label_text_font_style": "normal", 
  "major_label_text_line_height": 1.2, 
  "major_label_text_outline_color": null, 
  "major_tick_in": 5, 
  "major_tick_line_alpha": 1.0, 
  "major_tick_line_cap": "butt", 
  "major_tick_line_color": "#ffffff", 
  "major_tick_line_dash": [], 
  "major_tick_line_dash_offset": 0, 
  "major_tick_line_join": "bevel", 
  "major_tick_line_width": 1, 
  "major_tick_out": 0, 
  "margin": 30, 
  "minor_tick_in": 0, 
  "minor_tick_line_alpha": 1.0, 
  "minor_tick_line_cap": "butt", 
  "minor_tick_line_color": null, 
  "minor_tick_line_dash": [], 
  "minor_tick_line_dash_offset": 0, 
  "minor_tick_line_join": "bevel", 
  "minor_tick_line_width": 1, 
  "minor_tick_out": 0, 
  "name": null, 
  "orientation": "auto", 
  "padding": 10, 
  "propagate_hover": false, 
  "renderers": [], 
  "scale_alpha": 1.0, 
  "styles": {
    "type": "map"
  }, 
  "stylesheets": [], 
  "subscribed_events": {
    "type": "set"
  }, 
  "syncable": true, 
  "tags": [], 
  "ticker": "auto", 
  "title": null, 
  "title_standoff": 2, 
  "title_text_align": "left", 
  "title_text_alpha": 1.0, 
  "title_text_baseline": "bottom", 
  "title_text_color": "#444444", 
  "title_text_font": "helvetica", 
  "title_text_font_size": "13px", 
  "title_text_font_style": "italic", 
  "title_text_line_height": 1.2, 
  "title_text_outline_color": null, 
  "visible": true, 
  "width": "auto", 
  "x_range_name": "default", 
  "y_range_name": "default"
}

background_fill_alpha = 0.95

Type:

Alpha

The fill alpha for the color bar background style.

background_fill_color = '#ffffff'

Type:

Nullable(Color)

The fill color for the color bar background style.

bar_line_alpha = 1.0

Type:

Alpha

The line alpha for the color scale bar outline.

bar_line_cap = 'butt'

Type:

Enum(LineCap)

The line cap for the color scale bar outline.

bar_line_color = None

Type:

Nullable(Color)

The line color for the color scale bar outline.

bar_line_dash = []

Type:

DashPattern

The line dash for the color scale bar outline.

bar_line_dash_offset = 0

Type:

Int

The line dash offset for the color scale bar outline.

bar_line_join = 'bevel'

Type:

Enum(LineJoin)

The line join for the color scale bar outline.

bar_line_width = 1

Type:

Float

The line width for the color scale bar outline.

border_line_alpha = 1.0

Type:

Alpha

The line alpha for the color bar border outline.

border_line_cap = 'butt'

Type:

Enum(LineCap)

The line cap for the color bar border outline.

border_line_color = None

Type:

Nullable(Color)

The line color for the color bar border outline.

border_line_dash = []

Type:

DashPattern

The line dash for the color bar border outline.

border_line_dash_offset = 0

Type:

Int

The line dash offset for the color bar border outline.

border_line_join = 'bevel'

Type:

Enum(LineJoin)

The line join for the color bar border outline.

border_line_width = 1

Type:

Float

The line width for the color bar border outline.

context_menu = None

Type:

Nullable(Instance(‘.models.ui.Menu’))

A menu to display when user right clicks on the component.

Note

Use shift key when right clicking to display the native context menu.

css_classes = []

Type:

List

A list of additional CSS classes to add to the underlying DOM element.

css_variables = {}

Type:

Dict(String, Instance(Node))

Allows to define dynamically computed CSS variables.

This can be used, for example, to coordinate positioning and styling between canvas’ renderers and/or visuals and HTML-based UI elements.

Variables defined here are equivalent to setting the same variables under :host { ... } in a CSS stylesheet.

Note

This property is experimental and may change at any point.

elements = []

Type:

List

A collection of DOM-based UI elements attached to this renderer.

This can include floating elements like tooltips, allowing to establish a parent-child relationship between this renderer and its UI elements.

Note

This property is an equivalent of Pane.elements in DOM-based UIs.

fill_renderer = Undefined

Type:

Instance(GlyphRenderer)

Glyph renderer used for filled contour polygons.

formatter = 'auto'

Type:

Either(Instance(TickFormatter), Auto)

A TickFormatter to use for formatting the visual appearance of ticks.

group = None

Type:

Nullable(Instance(RendererGroup))

Note

This property is experimental and may change at any point.

height = 'auto'

Type:

Either(Auto, Int)

The height (in pixels) that the color scale should occupy.

label_standoff = 5

Type:

Int

The distance (in pixels) to separate the tick labels from the color bar.

level = 'annotation'

Type:

Enum(RenderLevel)

Specifies the level in which to paint this renderer.

levels = []