tools#

Bokeh comes with a number of interactive tools.

There are five types of tool interactions:

  • Pan/Drag

  • Click/Tap

  • Scroll/Pinch

  • Actions

  • Inspectors

For the first three comprise the category of gesture tools, and only one tool for each gesture can be active at any given time. The active tool is indicated on the toolbar by a highlight next to the tool. Actions are immediate or modal operations that are only activated when their button in the toolbar is pressed. Inspectors are passive tools that merely report information or annotate the plot in some way, and may always be active regardless of what other tools are currently active.

class ActionTool(*args: Any, id: ID | None = None, **kwargs: Any)[source]#

Bases: Tool

A base class for tools that are buttons in the toolbar.

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
{
  "description": null,
  "icon": null,
  "id": "p125971",
  "js_event_callbacks": {
    "type": "map"
  },
  "js_property_callbacks": {
    "type": "map"
  },
  "name": null,
  "subscribed_events": {
    "type": "set"
  },
  "syncable": true,
  "tags": []
}

Public Data Attributes:

Inherited from Tool

icon

An icon to display in the toolbar.

description

A string describing the purpose of this tool.

Inherited from Model

id

ref

name

An arbitrary, user-supplied name for this model.

tags

An optional list of arbitrary, user-supplied values to attach to this model.

js_event_callbacks

A mapping of event names to lists of CustomJS callbacks.

js_property_callbacks

A mapping of attribute names to lists of CustomJS callbacks, to be set up on BokehJS side when the document is created.

subscribed_events

Collection of events that are subscribed to by Python callbacks.

syncable

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser.

Inherited from HasDocumentRef

document

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

Public Methods:

__init__(*[, icon, name, syncable, tags])

Inherited from Tool

__init__(*[, icon, name, syncable, tags])

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args[, id])

__init__(*args, **kwargs)

__str__()

Return str(self).

__str__()

Return str(self).

destroy()

Clean up references to the document and property

parameters()

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

js_on_event(event, *callbacks)

js_link(attr, other, other_attr[, attr_selector])

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a CustomJS callback to an arbitrary BokehJS model event.

on_change(attr, *callbacks)

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

references()

Returns all Models that this object has references to.

select(selector)

Query this object and all of its references for objects that match the given selector.

select_one(selector)

Query this object and all of its references for objects that match the given selector.

set_select(selector, updates)

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

to_serializable(serializer)

Converts this object to a serializable representation.

trigger(attr, old, new[, hint, setter])

Inherited from HasProps

__init_subclass__()

This method is called when a class is subclassed.

__init__(**properties)

__setattr__(name, value)

Intercept attribute setting on HasProps in order to special case a few situations:

__getattr__(name)

Intercept attribute setting on HasProps in order to special case a few situations:

__str__()

Return str(self).

__str__()

Return str(self).

equals(other)

Structural equality of models.

to_serializable(serializer)

Converts this object to a serializable representation.

set_from_json(name, value, *[, setter])

Set a property value on this object from JSON.

update(**kwargs)

Updates the object's properties from the given keyword arguments.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

descriptors()

List of property descriptors in the order of definition.

properties_with_refs()

Collect the names of all properties on this class that also have references.

dataspecs()

Collect the names of all DataSpec properties on this class.

properties_with_values(*[, ...])

Collect a dict mapping property names to their values.

query_properties_with_values(query, *[, ...])

Query the properties values of HasProps instances with a predicate.

themed_values()

Get any theme-provided overrides.

apply_theme(property_values)

Apply a set of theme values which will be used rather than defaults, but will not override application-set values.

unapply_theme()

Remove any themed values and restore defaults.

Inherited from Serializable

to_serializable(serializer)

Converts this object to a serializable representation.

Inherited from HasDocumentRef

__init__(*args, **kw)

Inherited from PropertyCallbackManager

__init__(*args, **kw)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

trigger(attr, old, new[, hint, setter])

Trigger callbacks for attr on this object.

Inherited from EventCallbackManager

__init__(*args, **kw)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


description = None#
Type:

Nullable(String)

A string describing the purpose of this tool. If not defined, an auto-generated description will be used. This description will be typically presented in the user interface as a tooltip.

icon = None#
Type:

Nullable(Either(Enum(ToolIcon), Regex, Image))

An icon to display in the toolbar.

The icon can provided as well known tool icon name, a CSS class selector, a data URI with an image/* MIME, a path to an image, a PIL Image object, or an RGB(A) NumPy array. If None, then the intrinsic icon will be used (may depend on tool’s configuration).

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 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

classmethod from_string(name: str) Tool#

Takes a string and returns a corresponding Tool instance.

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 (Union[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: JSEventCallback) 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

Example:

widget.on_change('value', callback1, callback2, ..., callback_n)
on_event(event: str | Type[Event], *callbacks: EventCallback) 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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

    This is needed in cases where the attributes to update also have values that have references.

  • setter (ClientSession or ServerSession or None, optional) –

    This is used to prevent “boomerang” updates to Bokeh apps.

    In the context of a Bokeh server application, incoming updates to properties will be annotated with the session that is doing the updating. This value is propagated through any subsequent change notifications that the update triggers. The session can compare the event setter to itself, and suppress any updates that originate from itself.

Returns:

None

set_select(selector: Type[Model] | SelectorType, updates: dict[str, 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 BoxEditTool(*args: Any, id: ID | None = None, **kwargs: Any)[source]#

Bases: EditTool, Drag, Tap

toolbar icon: Icon of a solid line box with a plus sign in the lower right representing the box-edit tool in the toolbar.

Allows drawing, dragging and deleting Rect glyphs on one or more renderers by editing the underlying ColumnDataSource data. Like other drawing tools, the renderers that are to be edited must be supplied explicitly as a list. When drawing a new box the data will always be added to the ColumnDataSource on the first supplied renderer.

The tool will modify the columns on the data source corresponding to the x, y, width and height values of the glyph. Any additional columns in the data source will be padded with empty_value, when adding a new box.

The supported actions include:

  • Add box: Hold shift then click and drag anywhere on the plot or double tap once to start drawing, move the mouse and double tap again to finish drawing.

  • Move box: Click and drag an existing box, the box will be dropped once you let go of the mouse button.

  • Delete box: Tap a box to select it then press <<backspace>> key while the mouse is within the plot area.

To Move or Delete multiple boxes at once:

  • Move selection: Select box(es) with <<shift>>+tap (or another selection tool) then drag anywhere on the plot. Selecting and then dragging on a specific box will move both.

  • Delete selection: Select box(es) with <<shift>>+tap (or another selection tool) then press <<backspace>> while the mouse is within the plot area.

JSON Prototype
{
  "description": null,
  "dimensions": "both",
  "icon": null,
  "id": "p125977",
  "js_event_callbacks": {
    "type": "map"
  },
  "js_property_callbacks": {
    "type": "map"
  },
  "name": null,
  "num_objects": 0,
  "renderers": [],
  "subscribed_events": {
    "type": "set"
  },
  "syncable": true,
  "tags": []
}

Public Data Attributes:

dimensions

Which dimensions the box drawing is to be free in.

num_objects

Defines a limit on the number of boxes that can be drawn.

Inherited from EditTool

empty_value

Defines the value to insert on non-coordinate columns when a new glyph is inserted into the ColumnDataSource columns, e.g.

renderers

An explicit list of renderers corresponding to glyphs that may be edited.

Inherited from Tool

icon

An icon to display in the toolbar.

description

A string describing the purpose of this tool.

Inherited from Model

id

ref

name

An arbitrary, user-supplied name for this model.

tags

An optional list of arbitrary, user-supplied values to attach to this model.

js_event_callbacks

A mapping of event names to lists of CustomJS callbacks.

js_property_callbacks

A mapping of attribute names to lists of CustomJS callbacks, to be set up on BokehJS side when the document is created.

subscribed_events

Collection of events that are subscribed to by Python callbacks.

syncable

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser.

Inherited from HasDocumentRef

document

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

Public Methods:

__init__(*[, dimensions, empty_value, icon, ...])

Inherited from EditTool

__init__(*[, empty_value, icon, name, ...])

Inherited from Drag

__init__(*[, icon, name, syncable, tags])

Inherited from Tap

__init__(*[, icon, name, syncable, tags])

Inherited from GestureTool

__init__(*[, icon, name, syncable, tags])

Inherited from Tool

__init__(*[, icon, name, syncable, tags])

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args[, id])

__init__(*args, **kwargs)

__str__()

Return str(self).

__str__()

Return str(self).

destroy()

Clean up references to the document and property

parameters()

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

js_on_event(event, *callbacks)

js_link(attr, other, other_attr[, attr_selector])

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a CustomJS callback to an arbitrary BokehJS model event.

on_change(attr, *callbacks)

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

references()

Returns all Models that this object has references to.

select(selector)

Query this object and all of its references for objects that match the given selector.

select_one(selector)

Query this object and all of its references for objects that match the given selector.

set_select(selector, updates)

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

to_serializable(serializer)

Converts this object to a serializable representation.

trigger(attr, old, new[, hint, setter])

Inherited from HasProps

__init_subclass__()

This method is called when a class is subclassed.

__init__(**properties)

__setattr__(name, value)

Intercept attribute setting on HasProps in order to special case a few situations:

__getattr__(name)

Intercept attribute setting on HasProps in order to special case a few situations:

__str__()

Return str(self).

__str__()

Return str(self).

equals(other)

Structural equality of models.

to_serializable(serializer)

Converts this object to a serializable representation.

set_from_json(name, value, *[, setter])

Set a property value on this object from JSON.

update(**kwargs)

Updates the object's properties from the given keyword arguments.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

descriptors()

List of property descriptors in the order of definition.

properties_with_refs()

Collect the names of all properties on this class that also have references.

dataspecs()

Collect the names of all DataSpec properties on this class.

properties_with_values(*[, ...])

Collect a dict mapping property names to their values.

query_properties_with_values(query, *[, ...])

Query the properties values of HasProps instances with a predicate.

themed_values()

Get any theme-provided overrides.

apply_theme(property_values)

Apply a set of theme values which will be used rather than defaults, but will not override application-set values.

unapply_theme()

Remove any themed values and restore defaults.

Inherited from Serializable

to_serializable(serializer)

Converts this object to a serializable representation.

Inherited from HasDocumentRef

__init__(*args, **kw)

Inherited from PropertyCallbackManager

__init__(*args, **kw)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

trigger(attr, old, new[, hint, setter])

Trigger callbacks for attr on this object.

Inherited from EventCallbackManager

__init__(*args, **kw)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


description = None#
Type:

Nullable(String)

A string describing the purpose of this tool. If not defined, an auto-generated description will be used. This description will be typically presented in the user interface as a tooltip.

dimensions = 'both'#
Type:

Enum(Dimensions)

Which dimensions the box drawing is to be free in. By default, users may freely draw boxes with any dimensions. If only “width” is set, the box will be constrained to span the entire vertical space of the plot, only the horizontal dimension can be controlled. If only “height” is set, the box will be constrained to span the entire horizontal space of the plot, and the vertical dimension can be controlled.

empty_value = Undefined#
Type:

Required(Either(Bool, Int, Float, Date, Datetime, Color, String))

Defines the value to insert on non-coordinate columns when a new glyph is inserted into the ColumnDataSource columns, e.g. when a circle glyph defines ‘x’, ‘y’ and ‘color’ columns, adding a new point will add the x and y-coordinates to ‘x’ and ‘y’ columns and the color column will be filled with the defined empty value.

icon = None#
Type:

Nullable(Either(Enum(ToolIcon), Regex, Image))

An icon to display in the toolbar.

The icon can provided as well known tool icon name, a CSS class selector, a data URI with an image/* MIME, a path to an image, a PIL Image object, or an RGB(A) NumPy array. If None, then the intrinsic icon will be used (may depend on tool’s configuration).

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.

num_objects = 0#
Type:

Int

Defines a limit on the number of boxes that can be drawn. By default there is no limit on the number of objects, but if enabled the oldest drawn box will be dropped to make space for the new box being added.

renderers = []#
Type:

List

An explicit list of renderers corresponding to glyphs that may be edited.

Note

The kind of renderer will typically depend on the specific type of the edit tool subclass. For instance, PointDrawTool expects renderers for Scatter glyphs, while BoxEditTool expects renderers for Rect glyphs, etc.

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 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

classmethod from_string(name: str) Tool#

Takes a string and returns a corresponding Tool instance.

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 (Union[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: JSEventCallback) 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

Example:

widget.on_change('value', callback1, callback2, ..., callback_n)
on_event(event: str | Type[Event], *callbacks: EventCallback) 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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

    This is needed in cases where the attributes to update also have values that have references.

  • setter (ClientSession or ServerSession or None, optional) –

    This is used to prevent “boomerang” updates to Bokeh apps.

    In the context of a Bokeh server application, incoming updates to properties will be annotated with the session that is doing the updating. This value is propagated through any subsequent change notifications that the update triggers. The session can compare the event setter to itself, and suppress any updates that originate from itself.

Returns:

None

set_select(selector: Type[Model] | SelectorType, updates: dict[str, 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 BoxSelectTool(*args: Any, id: ID | None = None, **kwargs: Any)[source]#

Bases: Drag, SelectTool

toolbar icon: Icon of a dashed box with a + in the lower right representing the box-selection tool in the toolbar.

The box selection tool allows users to make selections on a Plot by showing a rectangular region by dragging the mouse or a finger over the plot area. The end of the drag event indicates the selection region is ready.

See Selected and unselected glyphs for information on styling selected and unselected glyphs.

JSON Prototype
{
  "description": null,
  "dimensions": "both",
  "icon": null,
  "id": "p125987",
  "js_event_callbacks": {
    "type": "map"
  },
  "js_property_callbacks": {
    "type": "map"
  },
  "mode": "replace",
  "name": null,
  "origin": "corner",
  "overlay": {
    "attributes": {
      "bottom_units": "canvas",
      "fill_alpha": 0.5,
      "fill_color": "lightgrey",
      "left_units": "canvas",
      "level": "overlay",
      "line_alpha": 1.0,
      "line_color": "black",
      "line_dash": [
        4,
        4
      ],
      "line_width": 2,
      "right_units": "canvas",
      "syncable": false,
      "top_units": "canvas",
      "visible": false
    },
    "id": "p125988",
    "name": "BoxAnnotation",
    "type": "object"
  },
  "renderers": "auto",
  "select_every_mousemove": false,
  "subscribed_events": {
    "type": "set"
  },
  "syncable": true,
  "tags": []
}

Public Data Attributes:

select_every_mousemove

Whether a selection computation should happen on every mouse event, or only once, when the selection region is completed.

dimensions

Which dimensions the box selection is to be free in.

overlay

A shaded annotation drawn to indicate the selection region.

origin

Indicates whether the rectangular selection area should originate from a corner (top-left or bottom-right depending on direction) or the center of the box.

Inherited from SelectTool

renderers

An explicit list of renderers to hit test against.

mode

Defines what should happen when a new selection is made.

Inherited from Tool

icon

An icon to display in the toolbar.

description

A string describing the purpose of this tool.

Inherited from Model

id

ref

name

An arbitrary, user-supplied name for this model.

tags

An optional list of arbitrary, user-supplied values to attach to this model.

js_event_callbacks

A mapping of event names to lists of CustomJS callbacks.

js_property_callbacks

A mapping of attribute names to lists of CustomJS callbacks, to be set up on BokehJS side when the document is created.

subscribed_events

Collection of events that are subscribed to by Python callbacks.

syncable

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser.

Inherited from HasDocumentRef

document

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

Public Methods:

__init__(*[, dimensions, icon, mode, name, ...])

Inherited from Drag

__init__(*[, icon, name, syncable, tags])

Inherited from SelectTool

__init__(*[, icon, mode, name, renderers, ...])

Inherited from GestureTool

__init__(*[, icon, name, syncable, tags])

Inherited from Tool

__init__(*[, icon, name, syncable, tags])

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args[, id])

__init__(*args, **kwargs)

__str__()

Return str(self).

__str__()

Return str(self).

destroy()

Clean up references to the document and property

parameters()

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

js_on_event(event, *callbacks)

js_link(attr, other, other_attr[, attr_selector])

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a CustomJS callback to an arbitrary BokehJS model event.

on_change(attr, *callbacks)

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

references()

Returns all Models that this object has references to.

select(selector)

Query this object and all of its references for objects that match the given selector.

select_one(selector)

Query this object and all of its references for objects that match the given selector.

set_select(selector, updates)

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

to_serializable(serializer)

Converts this object to a serializable representation.

trigger(attr, old, new[, hint, setter])

Inherited from HasProps

__init_subclass__()

This method is called when a class is subclassed.

__init__(**properties)

__setattr__(name, value)

Intercept attribute setting on HasProps in order to special case a few situations:

__getattr__(name)

Intercept attribute setting on HasProps in order to special case a few situations:

__str__()

Return str(self).

__str__()

Return str(self).

equals(other)

Structural equality of models.

to_serializable(serializer)

Converts this object to a serializable representation.

set_from_json(name, value, *[, setter])

Set a property value on this object from JSON.

update(**kwargs)

Updates the object's properties from the given keyword arguments.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

descriptors()

List of property descriptors in the order of definition.

properties_with_refs()

Collect the names of all properties on this class that also have references.

dataspecs()

Collect the names of all DataSpec properties on this class.

properties_with_values(*[, ...])

Collect a dict mapping property names to their values.

query_properties_with_values(query, *[, ...])

Query the properties values of HasProps instances with a predicate.

themed_values()

Get any theme-provided overrides.

apply_theme(property_values)

Apply a set of theme values which will be used rather than defaults, but will not override application-set values.

unapply_theme()

Remove any themed values and restore defaults.

Inherited from Serializable

to_serializable(serializer)

Converts this object to a serializable representation.

Inherited from HasDocumentRef

__init__(*args, **kw)

Inherited from PropertyCallbackManager

__init__(*args, **kw)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

trigger(attr, old, new[, hint, setter])

Trigger callbacks for attr on this object.

Inherited from EventCallbackManager

__init__(*args, **kw)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


description = None#
Type:

Nullable(String)

A string describing the purpose of this tool. If not defined, an auto-generated description will be used. This description will be typically presented in the user interface as a tooltip.

dimensions = 'both'#
Type:

Enum(Dimensions)

Which dimensions the box selection is to be free in. By default, users may freely draw selections boxes with any dimensions. If only “width” is set, the box will be constrained to span the entire vertical space of the plot, only the horizontal dimension can be controlled. If only “height” is set, the box will be constrained to span the entire horizontal space of the plot, and the vertical dimension can be controlled.

icon = None#
Type:

Nullable(Either(Enum(ToolIcon), Regex, Image))

An icon to display in the toolbar.

The icon can provided as well known tool icon name, a CSS class selector, a data URI with an image/* MIME, a path to an image, a PIL Image object, or an RGB(A) NumPy array. If None, then the intrinsic icon will be used (may depend on tool’s configuration).

mode = 'replace'#
Type:

Enum(SelectionMode)

Defines what should happen when a new selection is made. The default is to replace the existing selection. Other options are to append to the selection, intersect with it or subtract from it.

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.

origin = 'corner'#
Type:

Enum(Enumeration(corner, center))

Indicates whether the rectangular selection area should originate from a corner (top-left or bottom-right depending on direction) or the center of the box.

overlay = BoxAnnotation(id='p126004', ...)#
Type:

Instance(BoxAnnotation)

A shaded annotation drawn to indicate the selection region.

renderers = 'auto'#
Type:

Either(Auto, List)

An explicit list of renderers to hit test against. If unset, defaults to all renderers on a plot.

select_every_mousemove = False#
Type:

Bool

Whether a selection computation should happen on every mouse event, or only once, when the selection region is completed. Default: False

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 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

classmethod from_string(name: str) Tool#

Takes a string and returns a corresponding Tool instance.

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 (Union[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: JSEventCallback) 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

Example:

widget.on_change('value', callback1, callback2, ..., callback_n)
on_event(event: str | Type[Event], *callbacks: EventCallback) 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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

    This is needed in cases where the attributes to update also have values that have references.

  • setter (ClientSession or ServerSession or None, optional) –

    This is used to prevent “boomerang” updates to Bokeh apps.

    In the context of a Bokeh server application, incoming updates to properties will be annotated with the session that is doing the updating. This value is propagated through any subsequent change notifications that the update triggers. The session can compare the event setter to itself, and suppress any updates that originate from itself.

Returns:

None

set_select(selector: Type[Model] | SelectorType, updates: dict[str, 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 BoxZoomTool(*args: Any, id: ID | None = None, **kwargs: Any)[source]#

Bases: Drag

toolbar icon: Icon of a dashed box with a magnifying glass in the upper right representing the box-zoom tool in the toolbar.

The box zoom tool allows users to define a rectangular egion of a Plot to zoom to by dragging he mouse or a finger over the plot region. The end of the drag event indicates the selection region is ready.

Note

BoxZoomTool is incompatible with GMapPlot due to the manner in which Google Maps exert explicit control over aspect ratios. Adding this tool to a GMapPlot will have no effect.

JSON Prototype
{
  "description": null,
  "dimensions": "both",
  "icon": null,
  "id": "p126013",
  "js_event_callbacks": {
    "type": "map"
  },
  "js_property_callbacks": {
    "type": "map"
  },
  "match_aspect": false,
  "name": null,
  "origin": "corner",
  "overlay": {
    "attributes": {
      "bottom_units": "canvas",
      "fill_alpha": 0.5,
      "fill_color": "lightgrey",
      "left_units": "canvas",
      "level": "overlay",
      "line_alpha": 1.0,
      "line_color": "black",
      "line_dash": [
        4,
        4
      ],
      "line_width": 2,
      "right_units": "canvas",
      "syncable": false,
      "top_units": "canvas",
      "visible": false
    },
    "id": "p126014",
    "name": "BoxAnnotation",
    "type": "object"
  },
  "subscribed_events": {
    "type": "set"
  },
  "syncable": true,
  "tags": []
}

Public Data Attributes:

dimensions

Which dimensions the zoom box is to be free in.

overlay

A shaded annotation drawn to indicate the selection region.

match_aspect

Whether the box zoom region should be restricted to have the same aspect ratio as the plot region.

origin

Indicates whether the rectangular zoom area should originate from a corner (top-left or bottom-right depending on direction) or the center of the box.

Inherited from Tool

icon

An icon to display in the toolbar.

description

A string describing the purpose of this tool.

Inherited from Model

id

ref

name

An arbitrary, user-supplied name for this model.

tags

An optional list of arbitrary, user-supplied values to attach to this model.

js_event_callbacks

A mapping of event names to lists of CustomJS callbacks.

js_property_callbacks

A mapping of attribute names to lists of CustomJS callbacks, to be set up on BokehJS side when the document is created.

subscribed_events

Collection of events that are subscribed to by Python callbacks.

syncable

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser.

Inherited from HasDocumentRef

document

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

Public Methods:

__init__(*[, dimensions, icon, ...])

Inherited from Drag

__init__(*[, icon, name, syncable, tags])

Inherited from GestureTool

__init__(*[, icon, name, syncable, tags])

Inherited from Tool

__init__(*[, icon, name, syncable, tags])

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args[, id])

__init__(*args, **kwargs)

__str__()

Return str(self).

__str__()

Return str(self).

destroy()

Clean up references to the document and property

parameters()

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

js_on_event(event, *callbacks)

js_link(attr, other, other_attr[, attr_selector])

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a CustomJS callback to an arbitrary BokehJS model event.

on_change(attr, *callbacks)

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

references()

Returns all Models that this object has references to.

select(selector)

Query this object and all of its references for objects that match the given selector.

select_one(selector)

Query this object and all of its references for objects that match the given selector.

set_select(selector, updates)

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

to_serializable(serializer)

Converts this object to a serializable representation.

trigger(attr, old, new[, hint, setter])

Inherited from HasProps

__init_subclass__()

This method is called when a class is subclassed.

__init__(**properties)

__setattr__(name, value)

Intercept attribute setting on HasProps in order to special case a few situations:

__getattr__(name)

Intercept attribute setting on HasProps in order to special case a few situations:

__str__()

Return str(self).

__str__()

Return str(self).

equals(other)

Structural equality of models.

to_serializable(serializer)

Converts this object to a serializable representation.

set_from_json(name, value, *[, setter])

Set a property value on this object from JSON.

update(**kwargs)

Updates the object's properties from the given keyword arguments.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

descriptors()

List of property descriptors in the order of definition.

properties_with_refs()

Collect the names of all properties on this class that also have references.

dataspecs()

Collect the names of all DataSpec properties on this class.

properties_with_values(*[, ...])

Collect a dict mapping property names to their values.

query_properties_with_values(query, *[, ...])

Query the properties values of HasProps instances with a predicate.

themed_values()

Get any theme-provided overrides.

apply_theme(property_values)

Apply a set of theme values which will be used rather than defaults, but will not override application-set values.

unapply_theme()

Remove any themed values and restore defaults.

Inherited from Serializable

to_serializable(serializer)

Converts this object to a serializable representation.

Inherited from HasDocumentRef

__init__(*args, **kw)

Inherited from PropertyCallbackManager

__init__(*args, **kw)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

trigger(attr, old, new[, hint, setter])

Trigger callbacks for attr on this object.

Inherited from EventCallbackManager

__init__(*args, **kw)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


description = None#
Type:

Nullable(String)

A string describing the purpose of this tool. If not defined, an auto-generated description will be used. This description will be typically presented in the user interface as a tooltip.

dimensions = 'both'#
Type:

Either(Enum(Dimensions), Auto)

Which dimensions the zoom box is to be free in. By default, users may freely draw zoom boxes with any dimensions. If only “width” is supplied, the box will be constrained to span the entire vertical space of the plot, only the horizontal dimension can be controlled. If only “height” is supplied, the box will be constrained to span the entire horizontal space of the plot, and the vertical dimension can be controlled.

icon = None#
Type:

Nullable(Either(Enum(ToolIcon), Regex, Image))

An icon to display in the toolbar.

The icon can provided as well known tool icon name, a CSS class selector, a data URI with an image/* MIME, a path to an image, a PIL Image object, or an RGB(A) NumPy array. If None, then the intrinsic icon will be used (may depend on tool’s configuration).

match_aspect = False#
Type:

Bool

Whether the box zoom region should be restricted to have the same aspect ratio as the plot region.

Note

If the tool is restricted to one dimension, this value has no effect.

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.

origin = 'corner'#
Type:

Enum(Enumeration(corner, center))

Indicates whether the rectangular zoom area should originate from a corner (top-left or bottom-right depending on direction) or the center of the box.

overlay = BoxAnnotation(id='p126030', ...)#
Type:

Instance(BoxAnnotation)

A shaded annotation drawn to indicate the selection region.

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 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

classmethod from_string(name: str) Tool#

Takes a string and returns a corresponding Tool instance.

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 (Union[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: JSEventCallback) 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

Example:

widget.on_change('value', callback1, callback2, ..., callback_n)
on_event(event: str | Type[Event], *callbacks: EventCallback) 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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

    This is needed in cases where the attributes to update also have values that have references.

  • setter (ClientSession or ServerSession or None, optional) –

    This is used to prevent “boomerang” updates to Bokeh apps.

    In the context of a Bokeh server application, incoming updates to properties will be annotated with the session that is doing the updating. This value is propagated through any subsequent change notifications that the update triggers. The session can compare the event setter to itself, and suppress any updates that originate from itself.

Returns:

None

set_select(selector: Type[Model] | SelectorType, updates: dict[str, 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 CopyTool(*args: Any, id: ID | None = None, **kwargs: Any)[source]#

Bases: ActionTool

toolbar icon: copy_icon

The copy tool is an action tool, that allows copying the rendererd contents of a plot or a collection of plots to system’s clipboard. This tools is browser dependent and may not function in certain browsers, or require additional permissions to be granted to the web page.

JSON Prototype
{
  "description": null,
  "icon": null,
  "id": "p126035",
  "js_event_callbacks": {
    "type": "map"
  },
  "js_property_callbacks": {
    "type": "map"
  },
  "name": null,
  "subscribed_events": {
    "type": "set"
  },
  "syncable": true,
  "tags": []
}

Public Data Attributes:

Inherited from Tool

icon

An icon to display in the toolbar.

description

A string describing the purpose of this tool.

Inherited from Model

id

ref

name

An arbitrary, user-supplied name for this model.

tags

An optional list of arbitrary, user-supplied values to attach to this model.

js_event_callbacks

A mapping of event names to lists of CustomJS callbacks.

js_property_callbacks

A mapping of attribute names to lists of CustomJS callbacks, to be set up on BokehJS side when the document is created.

subscribed_events

Collection of events that are subscribed to by Python callbacks.

syncable

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser.

Inherited from HasDocumentRef

document

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

Public Methods:

__init__(*[, icon, name, syncable, tags])

Inherited from ActionTool

__init__(*[, icon, name, syncable, tags])

Inherited from Tool

__init__(*[, icon, name, syncable, tags])

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args[, id])

__init__(*args, **kwargs)

__str__()

Return str(self).

__str__()

Return str(self).

destroy()

Clean up references to the document and property

parameters()

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

js_on_event(event, *callbacks)

js_link(attr, other, other_attr[, attr_selector])

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a CustomJS callback to an arbitrary BokehJS model event.

on_change(attr, *callbacks)

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

references()

Returns all Models that this object has references to.

select(selector)

Query this object and all of its references for objects that match the given selector.

select_one(selector)

Query this object and all of its references for objects that match the given selector.

set_select(selector, updates)

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

to_serializable(serializer)

Converts this object to a serializable representation.

trigger(attr, old, new[, hint, setter])

Inherited from HasProps

__init_subclass__()

This method is called when a class is subclassed.

__init__(**properties)

__setattr__(name, value)

Intercept attribute setting on HasProps in order to special case a few situations:

__getattr__(name)

Intercept attribute setting on HasProps in order to special case a few situations:

__str__()

Return str(self).

__str__()

Return str(self).

equals(other)

Structural equality of models.

to_serializable(serializer)

Converts this object to a serializable representation.

set_from_json(name, value, *[, setter])

Set a property value on this object from JSON.

update(**kwargs)

Updates the object's properties from the given keyword arguments.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

descriptors()

List of property descriptors in the order of definition.

properties_with_refs()

Collect the names of all properties on this class that also have references.

dataspecs()

Collect the names of all DataSpec properties on this class.

properties_with_values(*[, ...])

Collect a dict mapping property names to their values.

query_properties_with_values(query, *[, ...])

Query the properties values of HasProps instances with a predicate.

themed_values()

Get any theme-provided overrides.

apply_theme(property_values)

Apply a set of theme values which will be used rather than defaults, but will not override application-set values.

unapply_theme()

Remove any themed values and restore defaults.

Inherited from Serializable

to_serializable(serializer)

Converts this object to a serializable representation.

Inherited from HasDocumentRef

__init__(*args, **kw)

Inherited from PropertyCallbackManager

__init__(*args, **kw)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

trigger(attr, old, new[, hint, setter])

Trigger callbacks for attr on this object.

Inherited from EventCallbackManager

__init__(*args, **kw)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


description = None#
Type:

Nullable(String)

A string describing the purpose of this tool. If not defined, an auto-generated description will be used. This description will be typically presented in the user interface as a tooltip.

icon = None#
Type:

Nullable(Either(Enum(ToolIcon), Regex, Image))

An icon to display in the toolbar.

The icon can provided as well known tool icon name, a CSS class selector, a data URI with an image/* MIME, a path to an image, a PIL Image object, or an RGB(A) NumPy array. If None, then the intrinsic icon will be used (may depend on tool’s configuration).

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 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

classmethod from_string(name: str) Tool#

Takes a string and returns a corresponding Tool instance.

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 (Union[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: JSEventCallback) 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

Example:

widget.on_change('value', callback1, callback2, ..., callback_n)
on_event(event: str | Type[Event], *callbacks: EventCallback) 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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

    This is needed in cases where the attributes to update also have values that have references.

  • setter (ClientSession or ServerSession or None, optional) –

    This is used to prevent “boomerang” updates to Bokeh apps.

    In the context of a Bokeh server application, incoming updates to properties will be annotated with the session that is doing the updating. This value is propagated through any subsequent change notifications that the update triggers. The session can compare the event setter to itself, and suppress any updates that originate from itself.

Returns:

None

set_select(selector: Type[Model] | SelectorType, updates: dict[str, 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 CrosshairTool(*args: Any, id: ID | None = None, **kwargs: Any)[source]#

Bases: InspectTool

toolbar icon: Icon of circle with aiming reticle marks representing the crosshair tool in the toolbar.

The crosshair tool is a passive inspector tool. It is generally on at all times, but can be configured in the inspector’s menu associated with the toolbar icon shown above.

The crosshair tool draws a crosshair annotation over the plot, centered on the current mouse position. The crosshair tool may be configured to draw across only one dimension by setting the dimension property to only width or height.

JSON Prototype
{
  "description": null,
  "dimensions": "both",
  "icon": null,
  "id": "p126041",
  "js_event_callbacks": {
    "type": "map"
  },
  "js_property_callbacks": {
    "type": "map"
  },
  "line_alpha": 1.0,
  "line_color": "black",
  "line_width": 1,
  "name": null,
  "overlay": "auto",
  "subscribed_events": {
    "type": "set"
  },
  "syncable": true,
  "tags": [],
  "toggleable": true
}

Public Data Attributes:

overlay

An annotation drawn to indicate the crosshair.

dimensions

Which dimensions the crosshair tool is to track.

line_color

A color to use to stroke paths with.

line_alpha

An alpha value to use to stroke paths with.

line_width

Stroke width in units of pixels.

Inherited from InspectTool

toggleable

Whether an on/off toggle button should appear in the toolbar for this inspection tool.

Inherited from Tool

icon

An icon to display in the toolbar.

description

A string describing the purpose of this tool.

Inherited from Model

id

ref

name

An arbitrary, user-supplied name for this model.

tags

An optional list of arbitrary, user-supplied values to attach to this model.

js_event_callbacks

A mapping of event names to lists of CustomJS callbacks.

js_property_callbacks

A mapping of attribute names to lists of CustomJS callbacks, to be set up on BokehJS side when the document is created.

subscribed_events

Collection of events that are subscribed to by Python callbacks.

syncable

Indicates whether this model should be synchronized back to a Bokeh server when updated in a web browser.

Inherited from HasDocumentRef

document

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

Public Methods:

__init__(*[, dimensions, icon, line_alpha, ...])

Inherited from InspectTool

__init__(*[, icon, name, syncable, tags, ...])

Inherited from GestureTool

__init__(*[, icon, name, syncable, tags])

Inherited from Tool

__init__(*[, icon, name, syncable, tags])

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args[, id])

__init__(*args, **kwargs)

__str__()

Return str(self).

__str__()

Return str(self).

destroy()

Clean up references to the document and property

parameters()

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

js_on_event(event, *callbacks)

js_link(attr, other, other_attr[, attr_selector])

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a CustomJS callback to an arbitrary BokehJS model event.

on_change(attr, *callbacks)

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

references()

Returns all Models that this object has references to.

select(selector)

Query this object and all of its references for objects that match the given selector.

select_one(selector)

Query this object and all of its references for objects that match the given selector.

set_select(selector, updates)

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

to_serializable(serializer)

Converts this object to a serializable representation.

trigger(attr, old, new[, hint, setter])

Inherited from HasProps

__init_subclass__()

This method is called when a class is subclassed.

__init__(**properties)

__setattr__(name, value)

Intercept attribute setting on HasProps in order to special case a few situations:

__getattr__(name)

Intercept attribute setting on HasProps in order to special case a few situations:

__str__()

Return str(self).

__str__()

Return str(self).

equals(other)

Structural equality of models.

to_serializable(serializer)

Converts this object to a serializable representation.

set_from_json(name, value, *[, setter])

Set a property value on this object from JSON.

update(**kwargs)

Updates the object's properties from the given keyword arguments.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

descriptors()

List of property descriptors in the order of definition.

properties_with_refs()

Collect the names of all properties on this class that also have references.

dataspecs()

Collect the names of all DataSpec properties on this class.

properties_with_values(*[, ...])

Collect a dict mapping property names to their values.

query_properties_with_values(query, *[, ...])

Query the properties values of HasProps instances with a predicate.

themed_values()

Get any theme-provided overrides.

apply_theme(property_values)

Apply a set of theme values which will be used rather than defaults, but will not override application-set values.

unapply_theme()

Remove any themed values and restore defaults.

Inherited from Serializable

to_serializable(serializer)

Converts this object to a serializable representation.

Inherited from HasDocumentRef

__init__(*args, **kw)

Inherited from PropertyCallbackManager

__init__(*args, **kw)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

trigger(attr, old, new[, hint, setter])

Trigger callbacks for attr on this object.

Inherited from EventCallbackManager

__init__(*args, **kw)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


description = None#
Type:

Nullable(String)

A string describing the purpose of this tool. If not defined, an auto-generated description will be used. This description will be typically presented in the user interface as a tooltip.

dimensions = 'both'#
Type:

Enum(Dimensions)

Which dimensions the crosshair tool is to track. By default, both vertical and horizontal lines will be drawn. If only “width” is supplied, only a horizontal line will be drawn. If only “height” is supplied, only a vertical line will be drawn.

icon = None#
Type:

Nullable(Either(Enum(ToolIcon), Regex, Image))

An icon to display in the toolbar.

The icon can provided as well known tool icon name, a CSS class selector, a data URI with an image/* MIME, a path to an image, a PIL Image object, or an RGB(A) NumPy array. If None, then the intrinsic icon will be used (may depend on tool’s configuration).

line_alpha = 1.0#
Type:

Alpha

An alpha value to use to stroke paths with.

Acceptable values are floating-point numbers between 0 and 1 (0 being transparent and 1 being opaque).

line_color = 'black'#
Type:

Color

A color to use to stroke paths with.

Acceptable values are:

  • any of the named CSS colors, e.g 'green', 'indigo'

  • RGB(A) hex strings, e.g., '#FF0000', '#44444444'

  • CSS4 color strings, e.g., 'rgba(255, 0, 127, 0.6)', 'rgb(0 127 0 / 1.0)', or 'hsl(60deg 100% 50% / 1.0)'

  • a 3-tuple of integers (r, g, b) between 0 and 255

  • a 4-tuple of (r, g, b, a) where r, g, b are integers between 0 and 255, and a is between 0 and 1

  • a 32-bit unsigned integer using the 0xRRGGBBAA byte order pattern

line_width = 1#
Type:

Float

Stroke width in units of pixels.

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.

overlay = 'auto'#
Type:

Either(Auto, Instance(Span), Tuple(Instance(Span), Instance(Span)))

An annotation drawn to indicate the crosshair.

If "auto", this will create spans depending on the dimensions property, which based on its value, will result in either one span (horizontal or vertical) or two spans (horizontal and vertical).

Alternatively the user can provide one Span instance, where the dimension is indicated by the dimension property of the Span. Also two Span instances can be provided. Providing explicit Span instances allows for constructing linked crosshair, when those instances are shared between crosshair tools of different plots.

Note

This property is experimental and may change at any point. In particular in future this will allow using other annotations than Span and annotation groups.

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.

toggleable = True#
Type:

Bool

Whether an on/off toggle button should appear in the toolbar for this inspection tool. If False, the viewers of a plot will not be able to toggle the inspector on or off using the toolbar.

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