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.

Action

alias of bokeh.models.tools.ActionTool

ActionTool

class ActionTool(*args, **kwargs)[source]

Bases: bokeh.models.tools.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,
  "id": "1547",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

Inherited from : py: class:Tool

description

A string describing the purpose of this tool.

Inherited from : py: class:Model

model_class_reverse_map

id

ref

struct

A Bokeh protocol "structure" of this model, i.e. a dict of the form:.

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.

subscribed_events

List of events that are subscribed to by Python 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.

syncable

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

Inherited from : py: class:HasDocumentRef

document

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

Public Methods:

Inherited from : py: class:Tool

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from : py: class:Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args, **kwargs)

__init__(**kwargs)

__str__()

Return str(self).

__repr__()

Return repr(self).

destroy()

Clean up references to the document and property

js_on_event(event, *callbacks)

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

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a 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_json(include_defaults)

Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list).

to_json_string(include_defaults)

Returns a JSON string encoding the attributes of this object.

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

Inherited from : py: class:HasProps

__init__(**kwargs)

__setattr__(name, value)

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

__getattr__(name)

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

__str__()

Return str(self).

__repr__()

Return repr(self).

equals(other)

Structural equality of models.

static_to_serializable(serializer)

to_serializable(serializer)

set_from_json(name, json, *[, models, setter])

Set a property value on this object from JSON.

update(**kwargs)

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

update_from_json(json_attributes, *[, ...])

Updates the object's properties from a JSON attributes dictionary.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

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 : py: class:HasDocumentRef

__init__(**kwargs)

Inherited from : py: class:PropertyCallbackManager

__init__(**kwargs)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

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

Inherited from : py: class:EventCallbackManager

__init__(**kwargs)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


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.

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]

destroy() None

Clean up references to the document and property

equals(other: bokeh.core.has_props.HasProps) bool

Structural equality of models.

Parameters

other (HasProps) – the other instance to compare to

Returns

True, if properties are structurally equal, otherwise False

classmethod from_string(name: str) bokeh.models.tools.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) Optional[bokeh.core.property.descriptors.PropertyDescriptor[Any]]

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: Union[str, Type[bokeh.events.Event]], *callbacks: Union[Callable[[bokeh.events.Event], None], Callable[[], None]]) None

Run callbacks when the specified event occurs on this Model

Not all Events are supported for all Models. See specific Events in bokeh.events for more information on which Models are able to trigger them.

classmethod properties(*, _with_props: bool = False) Union[Set[str], Dict[str, Property[Any]]]

Collect the names of properties on this class.

Warning

In a future version of Bokeh, this method will return a dictionary mapping property names to property objects. To future-proof this current usage of this method, wrap the return value in list.

Returns

property names

classmethod properties_with_refs() Dict[str, Property[Any]]

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

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

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[[bokeh.core.property.descriptors.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[bokeh.model.model.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, json: JSON, *, models: Dict[ID, HasProps] | None = None, setter: Setter | None = None) None

Set a property value on this object from JSON.

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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

set_select(selector: Type[Model] | SelectorType, updates: Dict[str, Unknown]) None

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

Parameters
  • selector (JSON-like) –

  • updates (dict) –

Returns

None

themed_values() Optional[Dict[str, Any]]

Get any theme-provided overrides.

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

Returns

dict or None

to_json(include_defaults: bool) JSON

Returns a dictionary of the attributes of this object, containing only “JSON types” (string, number, boolean, none, dict, list).

References to other objects are serialized as “refs” (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

to_json_string(include_defaults: bool) str

Returns a JSON string encoding the attributes of this object.

References to other objects are serialized as references (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json_string() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

trigger(attr: str, old: Unknown, new: Unknown, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) None
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)
update_from_json(json_attributes: Dict[str, JSON], *, models: Mapping[ID, HasProps] | None = None, setter: Setter | None = None) None

Updates the object’s properties from a JSON attributes dictionary.

Parameters
  • json_attributes – (JSON-dict) : attributes and values to update

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

property document: Document | None

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

property struct: bokeh.core.types.ReferenceJson

A Bokeh protocol “structure” of this model, i.e. a dict of the form:

{
    'type' : << view model name >>
    'id'   : << unique model id >>
}

Additionally there may be a subtype field if this model is a subtype.

BoxEditTool

class BoxEditTool(*args, **kwargs)[source]

Bases: bokeh.models.tools.EditTool, bokeh.models.tools.Drag, bokeh.models.tools.Tap

toolbar icon: box_edit_icon

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
{
  "custom_icon": null,
  "description": null,
  "dimensions": "both",
  "id": "1552",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "num_objects": 0,
  "renderers": [],
  "subscribed_events": [],
  "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 : py: class:EditTool

custom_tooltip

empty_value

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

custom_icon

An icon to display in the toolbar.

renderers

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

Inherited from : py: class:Tool

description

A string describing the purpose of this tool.

Inherited from : py: class:Model

model_class_reverse_map

id

ref

struct

A Bokeh protocol "structure" of this model, i.e. a dict of the form:.

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.

subscribed_events

List of events that are subscribed to by Python 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.

syncable

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

Inherited from : py: class:HasDocumentRef

document

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

Public Methods:

Inherited from : py: class:EditTool

__init__(*args, **kwargs)

Inherited from : py: class:Tool

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from : py: class:Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args, **kwargs)

__init__(*args, **kwargs)

__str__()

Return str(self).

__repr__()

Return repr(self).

destroy()

Clean up references to the document and property

js_on_event(event, *callbacks)

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

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a 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_json(include_defaults)

Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list).

to_json_string(include_defaults)

Returns a JSON string encoding the attributes of this object.

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

Inherited from : py: class:HasProps

__init__(*args, **kwargs)

__setattr__(name, value)

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

__getattr__(name)

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

__str__()

Return str(self).

__repr__()

Return repr(self).

equals(other)

Structural equality of models.

static_to_serializable(serializer)

to_serializable(serializer)

set_from_json(name, json, *[, models, setter])

Set a property value on this object from JSON.

update(**kwargs)

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

update_from_json(json_attributes, *[, ...])

Updates the object's properties from a JSON attributes dictionary.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

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 : py: class:HasDocumentRef

__init__(*args, **kwargs)

Inherited from : py: class:PropertyCallbackManager

__init__(*args, **kwargs)

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])

Inherited from : py: class:EventCallbackManager

__init__(*args, **kwargs)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


custom_icon = None
Type

Nullable(Image)

An icon to display in the toolbar.

The icon can provided as a string filename for an image, a PIL Image object, or an RGB(A) NumPy array.

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

NonNullable(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.

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 scatter glyphs that may be edited.

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]

destroy() None

Clean up references to the document and property

equals(other: bokeh.core.has_props.HasProps) bool

Structural equality of models.

Parameters

other (HasProps) – the other instance to compare to

Returns

True, if properties are structurally equal, otherwise False

classmethod from_string(name: str) bokeh.models.tools.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) Optional[bokeh.core.property.descriptors.PropertyDescriptor[Any]]

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: Union[str, Type[bokeh.events.Event]], *callbacks: Union[Callable[[bokeh.events.Event], None], Callable[[], None]]) None

Run callbacks when the specified event occurs on this Model

Not all Events are supported for all Models. See specific Events in bokeh.events for more information on which Models are able to trigger them.

classmethod properties(*, _with_props: bool = False) Union[Set[str], Dict[str, Property[Any]]]

Collect the names of properties on this class.

Warning

In a future version of Bokeh, this method will return a dictionary mapping property names to property objects. To future-proof this current usage of this method, wrap the return value in list.

Returns

property names

classmethod properties_with_refs() Dict[str, Property[Any]]

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

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

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[[bokeh.core.property.descriptors.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[bokeh.model.model.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, json: JSON, *, models: Dict[ID, HasProps] | None = None, setter: Setter | None = None) None

Set a property value on this object from JSON.

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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

set_select(selector: Type[Model] | SelectorType, updates: Dict[str, Unknown]) None

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

Parameters
  • selector (JSON-like) –

  • updates (dict) –

Returns

None

themed_values() Optional[Dict[str, Any]]

Get any theme-provided overrides.

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

Returns

dict or None

to_json(include_defaults: bool) JSON

Returns a dictionary of the attributes of this object, containing only “JSON types” (string, number, boolean, none, dict, list).

References to other objects are serialized as “refs” (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

to_json_string(include_defaults: bool) str

Returns a JSON string encoding the attributes of this object.

References to other objects are serialized as references (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json_string() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

trigger(attr: str, old: Unknown, new: Unknown, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) None
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)
update_from_json(json_attributes: Dict[str, JSON], *, models: Mapping[ID, HasProps] | None = None, setter: Setter | None = None) None

Updates the object’s properties from a JSON attributes dictionary.

Parameters
  • json_attributes – (JSON-dict) : attributes and values to update

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

property document: Document | None

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

property struct: bokeh.core.types.ReferenceJson

A Bokeh protocol “structure” of this model, i.e. a dict of the form:

{
    'type' : << view model name >>
    'id'   : << unique model id >>
}

Additionally there may be a subtype field if this model is a subtype.

BoxSelectTool

class BoxSelectTool(*args, **kwargs)[source]

Bases: bokeh.models.tools.Drag, bokeh.models.tools.SelectTool

toolbar icon: box_select_icon

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",
  "id": "1562",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "mode": "replace",
  "name": null,
  "names": [],
  "origin": "corner",
  "overlay": {
    "id": "1563"
  },
  "renderers": "auto",
  "select_every_mousemove": false,
  "subscribed_events": [],
  "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 : py: class:SelectTool

names

A list of names to query for.

renderers

An explicit list of renderers to hit test against.

mode

Defines what should happen when a new selection is made.

Inherited from : py: class:Tool

description

A string describing the purpose of this tool.

Inherited from : py: class:Model

model_class_reverse_map

id

ref

struct

A Bokeh protocol "structure" of this model, i.e. a dict of the form:.

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.

subscribed_events

List of events that are subscribed to by Python 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.

syncable

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

Inherited from : py: class:HasDocumentRef

document

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

Public Methods:

Inherited from : py: class:Tool

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from : py: class:Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args, **kwargs)

__init__(**kwargs)

__str__()

Return str(self).

__repr__()

Return repr(self).

destroy()

Clean up references to the document and property

js_on_event(event, *callbacks)

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

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a 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_json(include_defaults)

Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list).

to_json_string(include_defaults)

Returns a JSON string encoding the attributes of this object.

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

Inherited from : py: class:HasProps

__init__(**kwargs)

__setattr__(name, value)

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

__getattr__(name)

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

__str__()

Return str(self).

__repr__()

Return repr(self).

equals(other)

Structural equality of models.

static_to_serializable(serializer)

to_serializable(serializer)

set_from_json(name, json, *[, models, setter])

Set a property value on this object from JSON.

update(**kwargs)

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

update_from_json(json_attributes, *[, ...])

Updates the object's properties from a JSON attributes dictionary.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

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 : py: class:HasDocumentRef

__init__(**kwargs)

Inherited from : py: class:PropertyCallbackManager

__init__(**kwargs)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

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

Inherited from : py: class:EventCallbackManager

__init__(**kwargs)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


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.

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.

names = []
Type

List

A list of names to query for. If set, only renderers that have a matching value for their name attribute will be used.

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='1571', ...)
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]

destroy() None

Clean up references to the document and property

equals(other: bokeh.core.has_props.HasProps) bool

Structural equality of models.

Parameters

other (HasProps) – the other instance to compare to

Returns

True, if properties are structurally equal, otherwise False

classmethod from_string(name: str) bokeh.models.tools.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) Optional[bokeh.core.property.descriptors.PropertyDescriptor[Any]]

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: Union[str, Type[bokeh.events.Event]], *callbacks: Union[Callable[[bokeh.events.Event], None], Callable[[], None]]) None

Run callbacks when the specified event occurs on this Model

Not all Events are supported for all Models. See specific Events in bokeh.events for more information on which Models are able to trigger them.

classmethod properties(*, _with_props: bool = False) Union[Set[str], Dict[str, Property[Any]]]

Collect the names of properties on this class.

Warning

In a future version of Bokeh, this method will return a dictionary mapping property names to property objects. To future-proof this current usage of this method, wrap the return value in list.

Returns

property names

classmethod properties_with_refs() Dict[str, Property[Any]]

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

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

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[[bokeh.core.property.descriptors.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[bokeh.model.model.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, json: JSON, *, models: Dict[ID, HasProps] | None = None, setter: Setter | None = None) None

Set a property value on this object from JSON.

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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

set_select(selector: Type[Model] | SelectorType, updates: Dict[str, Unknown]) None

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

Parameters
  • selector (JSON-like) –

  • updates (dict) –

Returns

None

themed_values() Optional[Dict[str, Any]]

Get any theme-provided overrides.

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

Returns

dict or None

to_json(include_defaults: bool) JSON

Returns a dictionary of the attributes of this object, containing only “JSON types” (string, number, boolean, none, dict, list).

References to other objects are serialized as “refs” (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

to_json_string(include_defaults: bool) str

Returns a JSON string encoding the attributes of this object.

References to other objects are serialized as references (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json_string() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

trigger(attr: str, old: Unknown, new: Unknown, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) None
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)
update_from_json(json_attributes: Dict[str, JSON], *, models: Mapping[ID, HasProps] | None = None, setter: Setter | None = None) None

Updates the object’s properties from a JSON attributes dictionary.

Parameters
  • json_attributes – (JSON-dict) : attributes and values to update

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

property document: Document | None

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

property struct: bokeh.core.types.ReferenceJson

A Bokeh protocol “structure” of this model, i.e. a dict of the form:

{
    'type' : << view model name >>
    'id'   : << unique model id >>
}

Additionally there may be a subtype field if this model is a subtype.

BoxZoomTool

class BoxZoomTool(*args, **kwargs)[source]

Bases: bokeh.models.tools.Drag

toolbar icon: box_zoom_icon

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",
  "id": "1576",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "match_aspect": false,
  "name": null,
  "origin": "corner",
  "overlay": {
    "id": "1577"
  },
  "subscribed_events": [],
  "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 : py: class:Tool

description

A string describing the purpose of this tool.

Inherited from : py: class:Model

model_class_reverse_map

id

ref

struct

A Bokeh protocol "structure" of this model, i.e. a dict of the form:.

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.

subscribed_events

List of events that are subscribed to by Python 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.

syncable

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

Inherited from : py: class:HasDocumentRef

document

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

Public Methods:

Inherited from : py: class:Tool

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from : py: class:Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args, **kwargs)

__init__(**kwargs)

__str__()

Return str(self).

__repr__()

Return repr(self).

destroy()

Clean up references to the document and property

js_on_event(event, *callbacks)

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

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a 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_json(include_defaults)

Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list).

to_json_string(include_defaults)

Returns a JSON string encoding the attributes of this object.

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

Inherited from : py: class:HasProps

__init__(**kwargs)

__setattr__(name, value)

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

__getattr__(name)

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

__str__()

Return str(self).

__repr__()

Return repr(self).

equals(other)

Structural equality of models.

static_to_serializable(serializer)

to_serializable(serializer)

set_from_json(name, json, *[, models, setter])

Set a property value on this object from JSON.

update(**kwargs)

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

update_from_json(json_attributes, *[, ...])

Updates the object's properties from a JSON attributes dictionary.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

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 : py: class:HasDocumentRef

__init__(**kwargs)

Inherited from : py: class:PropertyCallbackManager

__init__(**kwargs)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

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

Inherited from : py: class:EventCallbackManager

__init__(**kwargs)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


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 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.

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='1584', ...)
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]

destroy() None

Clean up references to the document and property

equals(other: bokeh.core.has_props.HasProps) bool

Structural equality of models.

Parameters

other (HasProps) – the other instance to compare to

Returns

True, if properties are structurally equal, otherwise False

classmethod from_string(name: str) bokeh.models.tools.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) Optional[bokeh.core.property.descriptors.PropertyDescriptor[Any]]

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: Union[str, Type[bokeh.events.Event]], *callbacks: Union[Callable[[bokeh.events.Event], None], Callable[[], None]]) None

Run callbacks when the specified event occurs on this Model

Not all Events are supported for all Models. See specific Events in bokeh.events for more information on which Models are able to trigger them.

classmethod properties(*, _with_props: bool = False) Union[Set[str], Dict[str, Property[Any]]]

Collect the names of properties on this class.

Warning

In a future version of Bokeh, this method will return a dictionary mapping property names to property objects. To future-proof this current usage of this method, wrap the return value in list.

Returns

property names

classmethod properties_with_refs() Dict[str, Property[Any]]

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

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

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[[bokeh.core.property.descriptors.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[bokeh.model.model.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, json: JSON, *, models: Dict[ID, HasProps] | None = None, setter: Setter | None = None) None

Set a property value on this object from JSON.

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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

set_select(selector: Type[Model] | SelectorType, updates: Dict[str, Unknown]) None

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

Parameters
  • selector (JSON-like) –

  • updates (dict) –

Returns

None

themed_values() Optional[Dict[str, Any]]

Get any theme-provided overrides.

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

Returns

dict or None

to_json(include_defaults: bool) JSON

Returns a dictionary of the attributes of this object, containing only “JSON types” (string, number, boolean, none, dict, list).

References to other objects are serialized as “refs” (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

to_json_string(include_defaults: bool) str

Returns a JSON string encoding the attributes of this object.

References to other objects are serialized as references (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json_string() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

trigger(attr: str, old: Unknown, new: Unknown, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) None
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)
update_from_json(json_attributes: Dict[str, JSON], *, models: Mapping[ID, HasProps] | None = None, setter: Setter | None = None) None

Updates the object’s properties from a JSON attributes dictionary.

Parameters
  • json_attributes – (JSON-dict) : attributes and values to update

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

property document: Document | None

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

property struct: bokeh.core.types.ReferenceJson

A Bokeh protocol “structure” of this model, i.e. a dict of the form:

{
    'type' : << view model name >>
    'id'   : << unique model id >>
}

Additionally there may be a subtype field if this model is a subtype.

CrosshairTool

class CrosshairTool(*args, **kwargs)[source]

Bases: bokeh.models.tools.InspectTool

toolbar icon: crosshair_icon

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",
  "id": "1587",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "line_alpha": 1.0,
  "line_color": "black",
  "line_width": 1,
  "name": null,
  "subscribed_events": [],
  "syncable": true,
  "tags": [],
  "toggleable": true
}

Public Data Attributes:

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 : py: class:InspectTool

toggleable

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

Inherited from : py: class:Tool

description

A string describing the purpose of this tool.

Inherited from : py: class:Model

model_class_reverse_map

id

ref

struct

A Bokeh protocol "structure" of this model, i.e. a dict of the form:.

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.

subscribed_events

List of events that are subscribed to by Python 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.

syncable

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

Inherited from : py: class:HasDocumentRef

document

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

Public Methods:

Inherited from : py: class:Tool

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from : py: class:Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args, **kwargs)

__init__(**kwargs)

__str__()

Return str(self).

__repr__()

Return repr(self).

destroy()

Clean up references to the document and property

js_on_event(event, *callbacks)

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

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a 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_json(include_defaults)

Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list).

to_json_string(include_defaults)

Returns a JSON string encoding the attributes of this object.

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

Inherited from : py: class:HasProps

__init__(**kwargs)

__setattr__(name, value)

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

__getattr__(name)

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

__str__()

Return str(self).

__repr__()

Return repr(self).

equals(other)

Structural equality of models.

static_to_serializable(serializer)

to_serializable(serializer)

set_from_json(name, json, *[, models, setter])

Set a property value on this object from JSON.

update(**kwargs)

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

update_from_json(json_attributes, *[, ...])

Updates the object's properties from a JSON attributes dictionary.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

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 : py: class:HasDocumentRef

__init__(**kwargs)

Inherited from : py: class:PropertyCallbackManager

__init__(**kwargs)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

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

Inherited from : py: class:EventCallbackManager

__init__(**kwargs)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


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.

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.

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 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]

destroy() None

Clean up references to the document and property

equals(other: bokeh.core.has_props.HasProps) bool

Structural equality of models.

Parameters

other (HasProps) – the other instance to compare to

Returns

True, if properties are structurally equal, otherwise False

classmethod from_string(name: str) bokeh.models.tools.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) Optional[bokeh.core.property.descriptors.PropertyDescriptor[Any]]

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: Union[str, Type[bokeh.events.Event]], *callbacks: Union[Callable[[bokeh.events.Event], None], Callable[[], None]]) None

Run callbacks when the specified event occurs on this Model

Not all Events are supported for all Models. See specific Events in bokeh.events for more information on which Models are able to trigger them.

classmethod properties(*, _with_props: bool = False) Union[Set[str], Dict[str, Property[Any]]]

Collect the names of properties on this class.

Warning

In a future version of Bokeh, this method will return a dictionary mapping property names to property objects. To future-proof this current usage of this method, wrap the return value in list.

Returns

property names

classmethod properties_with_refs() Dict[str, Property[Any]]

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

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

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[[bokeh.core.property.descriptors.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[bokeh.model.model.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, json: JSON, *, models: Dict[ID, HasProps] | None = None, setter: Setter | None = None) None

Set a property value on this object from JSON.

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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

set_select(selector: Type[Model] | SelectorType, updates: Dict[str, Unknown]) None

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

Parameters
  • selector (JSON-like) –

  • updates (dict) –

Returns

None

themed_values() Optional[Dict[str, Any]]

Get any theme-provided overrides.

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

Returns

dict or None

to_json(include_defaults: bool) JSON

Returns a dictionary of the attributes of this object, containing only “JSON types” (string, number, boolean, none, dict, list).

References to other objects are serialized as “refs” (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

to_json_string(include_defaults: bool) str

Returns a JSON string encoding the attributes of this object.

References to other objects are serialized as references (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json_string() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

trigger(attr: str, old: Unknown, new: Unknown, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) None
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)
update_from_json(json_attributes: Dict[str, JSON], *, models: Mapping[ID, HasProps] | None = None, setter: Setter | None = None) None

Updates the object’s properties from a JSON attributes dictionary.

Parameters
  • json_attributes – (JSON-dict) : attributes and values to update

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

property document: Document | None

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

property struct: bokeh.core.types.ReferenceJson

A Bokeh protocol “structure” of this model, i.e. a dict of the form:

{
    'type' : << view model name >>
    'id'   : << unique model id >>
}

Additionally there may be a subtype field if this model is a subtype.

CustomAction

class CustomAction(*args, **kwargs)[source]

Bases: bokeh.models.tools.ActionTool

Execute a custom action, e.g. CustomJS callback when a toolbar icon is activated.

Example

tool = CustomAction(icon="icon.png",
                    callback=CustomJS(code='alert("foo")'))

plot.add_tools(tool)
JSON Prototype
{
  "callback": null,
  "description": "Perform a Custom Action",
  "id": "1597",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

action_tooltip

callback

A Bokeh callback to execute when the custom action icon is activated.

icon

An icon to display in the toolbar.

Inherited from : py: class:Tool

description

A string describing the purpose of this tool.

Inherited from : py: class:Model

model_class_reverse_map

id

ref

struct

A Bokeh protocol "structure" of this model, i.e. a dict of the form:.

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.

subscribed_events

List of events that are subscribed to by Python 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.

syncable

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

Inherited from : py: class:HasDocumentRef

document

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

Public Methods:

__init__(*args, **kwargs)

Inherited from : py: class:Tool

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from : py: class:Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args, **kwargs)

__init__(*args, **kwargs)

__str__()

Return str(self).

__repr__()

Return repr(self).

destroy()

Clean up references to the document and property

js_on_event(event, *callbacks)

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

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a 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_json(include_defaults)

Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list).

to_json_string(include_defaults)

Returns a JSON string encoding the attributes of this object.

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

Inherited from : py: class:HasProps

__init__(*args, **kwargs)

__setattr__(name, value)

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

__getattr__(name)

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

__str__()

Return str(self).

__repr__()

Return repr(self).

equals(other)

Structural equality of models.

static_to_serializable(serializer)

to_serializable(serializer)

set_from_json(name, json, *[, models, setter])

Set a property value on this object from JSON.

update(**kwargs)

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

update_from_json(json_attributes, *[, ...])

Updates the object's properties from a JSON attributes dictionary.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

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 : py: class:HasDocumentRef

__init__(*args, **kwargs)

Inherited from : py: class:PropertyCallbackManager

__init__(*args, **kwargs)

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])

Inherited from : py: class:EventCallbackManager

__init__(*args, **kwargs)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


callback = None
Type

Nullable(Instance(Callback))

A Bokeh callback to execute when the custom action icon is activated.

description = 'Perform a Custom Action'
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 = Undefined
Type

Image

An icon to display in the toolbar.

The icon can provided as a string filename for an image, a PIL Image object, or an RGB(A) NumPy array.

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]

destroy() None

Clean up references to the document and property

equals(other: bokeh.core.has_props.HasProps) bool

Structural equality of models.

Parameters

other (HasProps) – the other instance to compare to

Returns

True, if properties are structurally equal, otherwise False

classmethod from_string(name: str) bokeh.models.tools.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) Optional[bokeh.core.property.descriptors.PropertyDescriptor[Any]]

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: Union[str, Type[bokeh.events.Event]], *callbacks: Union[Callable[[bokeh.events.Event], None], Callable[[], None]]) None

Run callbacks when the specified event occurs on this Model

Not all Events are supported for all Models. See specific Events in bokeh.events for more information on which Models are able to trigger them.

classmethod properties(*, _with_props: bool = False) Union[Set[str], Dict[str, Property[Any]]]

Collect the names of properties on this class.

Warning

In a future version of Bokeh, this method will return a dictionary mapping property names to property objects. To future-proof this current usage of this method, wrap the return value in list.

Returns

property names

classmethod properties_with_refs() Dict[str, Property[Any]]

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

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

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[[bokeh.core.property.descriptors.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[bokeh.model.model.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, json: JSON, *, models: Dict[ID, HasProps] | None = None, setter: Setter | None = None) None

Set a property value on this object from JSON.

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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

set_select(selector: Type[Model] | SelectorType, updates: Dict[str, Unknown]) None

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

Parameters
  • selector (JSON-like) –

  • updates (dict) –

Returns

None

themed_values() Optional[Dict[str, Any]]

Get any theme-provided overrides.

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

Returns

dict or None

to_json(include_defaults: bool) JSON

Returns a dictionary of the attributes of this object, containing only “JSON types” (string, number, boolean, none, dict, list).

References to other objects are serialized as “refs” (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

to_json_string(include_defaults: bool) str

Returns a JSON string encoding the attributes of this object.

References to other objects are serialized as references (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json_string() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

trigger(attr: str, old: Unknown, new: Unknown, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) None
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)
update_from_json(json_attributes: Dict[str, JSON], *, models: Mapping[ID, HasProps] | None = None, setter: Setter | None = None) None

Updates the object’s properties from a JSON attributes dictionary.

Parameters
  • json_attributes – (JSON-dict) : attributes and values to update

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

property document: Document | None

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

property struct: bokeh.core.types.ReferenceJson

A Bokeh protocol “structure” of this model, i.e. a dict of the form:

{
    'type' : << view model name >>
    'id'   : << unique model id >>
}

Additionally there may be a subtype field if this model is a subtype.

CustomJSHover

class CustomJSHover(*args, **kwargs)[source]

Bases: bokeh.model.model.Model

Define a custom formatter to apply to a hover tool field.

This model can be configured with JavaScript code to format hover tooltips. The JavaScript code has access to the current value to format, some special variables, and any format configured on the tooltip. The variable value will contain the untransformed value. The variable special_vars will provide a dict with the following contents:

  • x data-space x-coordinate of the mouse

  • y data-space y-coordinate of the mouse

  • sx screen-space x-coordinate of the mouse

  • sy screen-space y-coordinate of the mouse

  • data_x data-space x-coordinate of the hovered glyph

  • data_y data-space y-coordinate of the hovered glyph

  • indices column indices of all currently hovered glyphs

  • name value of the name property of the hovered glyph renderer

If the hover is over a “multi” glyph such as Patches or MultiLine then a segment_index key will also be present.

Finally, the value of the format passed in the tooltip specification is available as the format variable.

Example

As an example, the following code adds a custom formatter to format WebMercator northing coordinates (in meters) as a latitude:

lat_custom = CustomJSHover(code="""
    const projections = Bokeh.require("core/util/projections");
    const x = special_vars.x
    const y = special_vars.y
    const coords = projections.wgs84_mercator.invert(x, y)
    return "" + coords[1]
""")

p.add_tools(HoverTool(
    tooltips=[( 'lat','@y{custom}' )],
    formatters={'@y':lat_custom}
))

Warning

The explicit purpose of this Bokeh Model is to embed raw JavaScript code for a browser to execute. If any part of the code is derived from untrusted user inputs, then you must take appropriate care to sanitize the user input prior to passing to Bokeh.

JSON Prototype
{
  "args": {},
  "code": "",
  "id": "1604",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

args

A mapping of names to Bokeh plot objects.

code

A snippet of JavaScript code to transform a single value.

Inherited from : py: class:Model

model_class_reverse_map

id

ref

struct

A Bokeh protocol "structure" of this model, i.e. a dict of the form:.

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.

subscribed_events

List of events that are subscribed to by Python 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.

syncable

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

Inherited from : py: class:HasDocumentRef

document

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

Public Methods:

Inherited from : py: class:Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args, **kwargs)

__init__(**kwargs)

__str__()

Return str(self).

__repr__()

Return repr(self).

destroy()

Clean up references to the document and property

js_on_event(event, *callbacks)

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

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a 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_json(include_defaults)

Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list).

to_json_string(include_defaults)

Returns a JSON string encoding the attributes of this object.

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

Inherited from : py: class:HasProps

__init__(**kwargs)

__setattr__(name, value)

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

__getattr__(name)

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

__str__()

Return str(self).

__repr__()

Return repr(self).

equals(other)

Structural equality of models.

static_to_serializable(serializer)

to_serializable(serializer)

set_from_json(name, json, *[, models, setter])

Set a property value on this object from JSON.

update(**kwargs)

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

update_from_json(json_attributes, *[, ...])

Updates the object's properties from a JSON attributes dictionary.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

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 : py: class:HasDocumentRef

__init__(**kwargs)

Inherited from : py: class:PropertyCallbackManager

__init__(**kwargs)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

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

Inherited from : py: class:EventCallbackManager

__init__(**kwargs)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


args = {}
Type

Dict(String, Instance(Model))

A mapping of names to Bokeh plot objects. These objects are made available to the callback code snippet as the values of named parameters to the callback.

code = ''
Type

String

A snippet of JavaScript code to transform a single value. The variable value will contain the untransformed value and can be expected to be present in the function namespace at render time. Additionally, the variable special_vars will be available, and will provide a dict with the following contents:

  • x data-space x-coordinate of the mouse

  • y data-space y-coordinate of the mouse

  • sx screen-space x-coordinate of the mouse

  • sy screen-space y-coordinate of the mouse

  • data_x data-space x-coordinate of the hovered glyph

  • data_y data-space y-coordinate of the hovered glyph

  • indices column indices of all currently hovered glyphs

If the hover is over a “multi” glyph such as Patches or MultiLine then a segment_index key will also be present.

Finally, the value of the format passed in the tooltip specification is available as the format variable.

The snippet will be made into the body of a function and therefore requires a return statement.

Example:

code = '''
return value + " total"
'''
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]

destroy() None

Clean up references to the document and property

equals(other: bokeh.core.has_props.HasProps) bool

Structural equality of models.

Parameters

other (HasProps) – the other instance to compare to

Returns

True, if properties are structurally equal, otherwise False

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) Optional[bokeh.core.property.descriptors.PropertyDescriptor[Any]]

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: Union[str, Type[bokeh.events.Event]], *callbacks: Union[Callable[[bokeh.events.Event], None], Callable[[], None]]) None

Run callbacks when the specified event occurs on this Model

Not all Events are supported for all Models. See specific Events in bokeh.events for more information on which Models are able to trigger them.

classmethod properties(*, _with_props: bool = False) Union[Set[str], Dict[str, Property[Any]]]

Collect the names of properties on this class.

Warning

In a future version of Bokeh, this method will return a dictionary mapping property names to property objects. To future-proof this current usage of this method, wrap the return value in list.

Returns

property names

classmethod properties_with_refs() Dict[str, Property[Any]]

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

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

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[[bokeh.core.property.descriptors.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[bokeh.model.model.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, json: JSON, *, models: Dict[ID, HasProps] | None = None, setter: Setter | None = None) None

Set a property value on this object from JSON.

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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

set_select(selector: Type[Model] | SelectorType, updates: Dict[str, Unknown]) None

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

Parameters
  • selector (JSON-like) –

  • updates (dict) –

Returns

None

themed_values() Optional[Dict[str, Any]]

Get any theme-provided overrides.

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

Returns

dict or None

to_json(include_defaults: bool) JSON

Returns a dictionary of the attributes of this object, containing only “JSON types” (string, number, boolean, none, dict, list).

References to other objects are serialized as “refs” (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

to_json_string(include_defaults: bool) str

Returns a JSON string encoding the attributes of this object.

References to other objects are serialized as references (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json_string() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

trigger(attr: str, old: Unknown, new: Unknown, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) None
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)
update_from_json(json_attributes: Dict[str, JSON], *, models: Mapping[ID, HasProps] | None = None, setter: Setter | None = None) None

Updates the object’s properties from a JSON attributes dictionary.

Parameters
  • json_attributes – (JSON-dict) : attributes and values to update

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

property document: Document | None

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

property struct: bokeh.core.types.ReferenceJson

A Bokeh protocol “structure” of this model, i.e. a dict of the form:

{
    'type' : << view model name >>
    'id'   : << unique model id >>
}

Additionally there may be a subtype field if this model is a subtype.

Drag

class Drag(*args, **kwargs)[source]

Bases: bokeh.models.tools.GestureTool

A base class for tools that respond to drag events.

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,
  "id": "1610",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

Inherited from : py: class:Tool

description

A string describing the purpose of this tool.

Inherited from : py: class:Model

model_class_reverse_map

id

ref

struct

A Bokeh protocol "structure" of this model, i.e. a dict of the form:.

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.

subscribed_events

List of events that are subscribed to by Python 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.

syncable

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

Inherited from : py: class:HasDocumentRef

document

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

Public Methods:

Inherited from : py: class:Tool

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from : py: class:Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args, **kwargs)

__init__(**kwargs)

__str__()

Return str(self).

__repr__()

Return repr(self).

destroy()

Clean up references to the document and property

js_on_event(event, *callbacks)

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

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a 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_json(include_defaults)

Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list).

to_json_string(include_defaults)

Returns a JSON string encoding the attributes of this object.

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

Inherited from : py: class:HasProps

__init__(**kwargs)

__setattr__(name, value)

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

__getattr__(name)

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

__str__()

Return str(self).

__repr__()

Return repr(self).

equals(other)

Structural equality of models.

static_to_serializable(serializer)

to_serializable(serializer)

set_from_json(name, json, *[, models, setter])

Set a property value on this object from JSON.

update(**kwargs)

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

update_from_json(json_attributes, *[, ...])

Updates the object's properties from a JSON attributes dictionary.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

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 : py: class:HasDocumentRef

__init__(**kwargs)

Inherited from : py: class:PropertyCallbackManager

__init__(**kwargs)

on_change(attr, *callbacks)

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

remove_on_change(attr, *callbacks)

Remove a callback from this object

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

Inherited from : py: class:EventCallbackManager

__init__(**kwargs)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


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.

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]

destroy() None

Clean up references to the document and property

equals(other: bokeh.core.has_props.HasProps) bool

Structural equality of models.

Parameters

other (HasProps) – the other instance to compare to

Returns

True, if properties are structurally equal, otherwise False

classmethod from_string(name: str) bokeh.models.tools.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) Optional[bokeh.core.property.descriptors.PropertyDescriptor[Any]]

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: Union[str, Type[bokeh.events.Event]], *callbacks: Union[Callable[[bokeh.events.Event], None], Callable[[], None]]) None

Run callbacks when the specified event occurs on this Model

Not all Events are supported for all Models. See specific Events in bokeh.events for more information on which Models are able to trigger them.

classmethod properties(*, _with_props: bool = False) Union[Set[str], Dict[str, Property[Any]]]

Collect the names of properties on this class.

Warning

In a future version of Bokeh, this method will return a dictionary mapping property names to property objects. To future-proof this current usage of this method, wrap the return value in list.

Returns

property names

classmethod properties_with_refs() Dict[str, Property[Any]]

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

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

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[[bokeh.core.property.descriptors.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[bokeh.model.model.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, json: JSON, *, models: Dict[ID, HasProps] | None = None, setter: Setter | None = None) None

Set a property value on this object from JSON.

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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

set_select(selector: Type[Model] | SelectorType, updates: Dict[str, Unknown]) None

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

Parameters
  • selector (JSON-like) –

  • updates (dict) –

Returns

None

themed_values() Optional[Dict[str, Any]]

Get any theme-provided overrides.

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

Returns

dict or None

to_json(include_defaults: bool) JSON

Returns a dictionary of the attributes of this object, containing only “JSON types” (string, number, boolean, none, dict, list).

References to other objects are serialized as “refs” (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

to_json_string(include_defaults: bool) str

Returns a JSON string encoding the attributes of this object.

References to other objects are serialized as references (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json_string() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

trigger(attr: str, old: Unknown, new: Unknown, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) None
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)
update_from_json(json_attributes: Dict[str, JSON], *, models: Mapping[ID, HasProps] | None = None, setter: Setter | None = None) None

Updates the object’s properties from a JSON attributes dictionary.

Parameters
  • json_attributes – (JSON-dict) : attributes and values to update

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

property document: Document | None

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

property struct: bokeh.core.types.ReferenceJson

A Bokeh protocol “structure” of this model, i.e. a dict of the form:

{
    'type' : << view model name >>
    'id'   : << unique model id >>
}

Additionally there may be a subtype field if this model is a subtype.

EditTool

class EditTool(*args, **kwargs)[source]

Bases: bokeh.models.tools.GestureTool

A base class for all interactive draw tool types.

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
{
  "custom_icon": null,
  "description": null,
  "id": "1615",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "renderers": [],
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

custom_tooltip

empty_value

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

custom_icon

An icon to display in the toolbar.

renderers

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

Inherited from : py: class:Tool

description

A string describing the purpose of this tool.

Inherited from : py: class:Model

model_class_reverse_map

id

ref

struct

A Bokeh protocol "structure" of this model, i.e. a dict of the form:.

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.

subscribed_events

List of events that are subscribed to by Python 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.

syncable

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

Inherited from : py: class:HasDocumentRef

document

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

Public Methods:

__init__(*args, **kwargs)

Inherited from : py: class:Tool

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from : py: class:Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args, **kwargs)

__init__(*args, **kwargs)

__str__()

Return str(self).

__repr__()

Return repr(self).

destroy()

Clean up references to the document and property

js_on_event(event, *callbacks)

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

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a 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_json(include_defaults)

Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list).

to_json_string(include_defaults)

Returns a JSON string encoding the attributes of this object.

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

Inherited from : py: class:HasProps

__init__(*args, **kwargs)

__setattr__(name, value)

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

__getattr__(name)

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

__str__()

Return str(self).

__repr__()

Return repr(self).

equals(other)

Structural equality of models.

static_to_serializable(serializer)

to_serializable(serializer)

set_from_json(name, json, *[, models, setter])

Set a property value on this object from JSON.

update(**kwargs)

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

update_from_json(json_attributes, *[, ...])

Updates the object's properties from a JSON attributes dictionary.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

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 : py: class:HasDocumentRef

__init__(*args, **kwargs)

Inherited from : py: class:PropertyCallbackManager

__init__(*args, **kwargs)

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])

Inherited from : py: class:EventCallbackManager

__init__(*args, **kwargs)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


custom_icon = None
Type

Nullable(Image)

An icon to display in the toolbar.

The icon can provided as a string filename for an image, a PIL Image object, or an RGB(A) NumPy array.

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.

empty_value = Undefined
Type

NonNullable(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.

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.

renderers = []
Type

List

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

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]

destroy() None

Clean up references to the document and property

equals(other: bokeh.core.has_props.HasProps) bool

Structural equality of models.

Parameters

other (HasProps) – the other instance to compare to

Returns

True, if properties are structurally equal, otherwise False

classmethod from_string(name: str) bokeh.models.tools.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) Optional[bokeh.core.property.descriptors.PropertyDescriptor[Any]]

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: Union[str, Type[bokeh.events.Event]], *callbacks: Union[Callable[[bokeh.events.Event], None], Callable[[], None]]) None

Run callbacks when the specified event occurs on this Model

Not all Events are supported for all Models. See specific Events in bokeh.events for more information on which Models are able to trigger them.

classmethod properties(*, _with_props: bool = False) Union[Set[str], Dict[str, Property[Any]]]

Collect the names of properties on this class.

Warning

In a future version of Bokeh, this method will return a dictionary mapping property names to property objects. To future-proof this current usage of this method, wrap the return value in list.

Returns

property names

classmethod properties_with_refs() Dict[str, Property[Any]]

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

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

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[[bokeh.core.property.descriptors.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[bokeh.model.model.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, json: JSON, *, models: Dict[ID, HasProps] | None = None, setter: Setter | None = None) None

Set a property value on this object from JSON.

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

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

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

set_select(selector: Type[Model] | SelectorType, updates: Dict[str, Unknown]) None

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

Parameters
  • selector (JSON-like) –

  • updates (dict) –

Returns

None

themed_values() Optional[Dict[str, Any]]

Get any theme-provided overrides.

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

Returns

dict or None

to_json(include_defaults: bool) JSON

Returns a dictionary of the attributes of this object, containing only “JSON types” (string, number, boolean, none, dict, list).

References to other objects are serialized as “refs” (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

to_json_string(include_defaults: bool) str

Returns a JSON string encoding the attributes of this object.

References to other objects are serialized as references (just the object ID and type info), so the deserializer will need to separately have the full attributes of those other objects.

There’s no corresponding from_json_string() because to deserialize an object is normally done in the context of a Document (since the Document can resolve references).

For most purposes it’s best to serialize and deserialize entire documents.

Parameters

include_defaults (bool) – whether to include attributes that haven’t been changed from the default

trigger(attr: str, old: Unknown, new: Unknown, hint: DocumentPatchedEvent | None = None, setter: Setter | None = None) None
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)
update_from_json(json_attributes: Dict[str, JSON], *, models: Mapping[ID, HasProps] | None = None, setter: Setter | None = None) None

Updates the object’s properties from a JSON attributes dictionary.

Parameters
  • json_attributes – (JSON-dict) : attributes and values to update

  • models (dict or None, optional) –

    Mapping of model ids to models (default: None)

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

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

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

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

Returns

None

property document: Document | None

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

property struct: bokeh.core.types.ReferenceJson

A Bokeh protocol “structure” of this model, i.e. a dict of the form:

{
    'type' : << view model name >>
    'id'   : << unique model id >>
}

Additionally there may be a subtype field if this model is a subtype.

FreehandDrawTool

class FreehandDrawTool(*args, **kwargs)[source]

Bases: bokeh.models.tools.EditTool, bokeh.models.tools.Drag, bokeh.models.tools.Tap

toolbar icon: freehand_draw_icon

Allows freehand drawing of Patches and MultiLine glyphs. The glyph to draw may be defined via the renderers property.

The tool will modify the columns on the data source corresponding to the xs and ys values of the glyph. Any additional columns in the data source will be padded with the declared empty_value, when adding a new point.

The supported actions include:

  • Draw vertices: Click and drag to draw a line

  • Delete patch/multi-line: Tap a patch/multi-line to select it then press <<backspace>> key while the mouse is within the plot area.

JSON Prototype
{
  "custom_icon": null,
  "description": null,
  "id": "1623",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "num_objects": 0,
  "renderers": [],
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

num_objects

Defines a limit on the number of patches or multi-lines that can be drawn.

Inherited from : py: class:EditTool

custom_tooltip

empty_value

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

custom_icon

An icon to display in the toolbar.

renderers

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

Inherited from : py: class:Tool

description

A string describing the purpose of this tool.

Inherited from : py: class:Model

model_class_reverse_map

id

ref

struct

A Bokeh protocol "structure" of this model, i.e. a dict of the form:.

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.

subscribed_events

List of events that are subscribed to by Python 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.

syncable

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

Inherited from : py: class:HasDocumentRef

document

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

Public Methods:

Inherited from : py: class:EditTool

__init__(*args, **kwargs)

Inherited from : py: class:Tool

from_string(name)

Takes a string and returns a corresponding Tool instance.

register_alias(name, constructor)

Inherited from : py: class:Model

__init_subclass__()

This method is called when a class is subclassed.

__new__(cls, *args, **kwargs)

__init__(*args, **kwargs)

__str__()

Return str(self).

__repr__()

Return repr(self).

destroy()

Clean up references to the document and property

js_on_event(event, *callbacks)

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

Link two Bokeh model properties using JavaScript.

js_on_change(event, *callbacks)

Attach a 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_json(include_defaults)

Returns a dictionary of the attributes of this object, containing only "JSON types" (string, number, boolean, none, dict, list).

to_json_string(include_defaults)

Returns a JSON string encoding the attributes of this object.

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

Inherited from : py: class:HasProps

__init__(*args, **kwargs)

__setattr__(name, value)

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

__getattr__(name)

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

__str__()

Return str(self).

__repr__()

Return repr(self).

equals(other)

Structural equality of models.

static_to_serializable(serializer)

to_serializable(serializer)

set_from_json(name, json, *[, models, setter])

Set a property value on this object from JSON.

update(**kwargs)

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

update_from_json(json_attributes, *[, ...])

Updates the object's properties from a JSON attributes dictionary.

lookup(name, *[, raises])

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

properties(*[, _with_props])

Collect the names of properties on this class.

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 : py: class:HasDocumentRef

__init__(*args, **kwargs)

Inherited from : py: class:PropertyCallbackManager

__init__(*args, **kwargs)

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])

Inherited from : py: class:EventCallbackManager

__init__(*args, **kwargs)

on_event(event, *callbacks)

Run callbacks when the specified event occurs on this Model


custom_icon = None
Type

Nullable(Image)

An icon to display in the toolbar.

The icon can provided as a string filename for an image, a PIL Image object, or an RGB(A) NumPy array.

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.

empty_value = Undefined
Type

NonNullable(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.

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 patches or multi-lines that can be drawn. By default there is no limit on the number of objects, but if enabled the oldest drawn patch or multi-line will be overwritten when the limit is reached.

renderers = []
Type

List

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

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]

destroy() None

Clean up references to the document and property

equals(other: bokeh.core.has_props.HasProps) bool

Structural equality of models.

Parameters

other (HasProps) – the other instance to compare to

Returns

True, if properties are structurally equal, otherwise False

classmethod from_string(name: str) bokeh.models.tools.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)