tickers

Models for computing good tick locations on different kinds of plots.

AdaptiveTicker

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

Bases: bokeh.models.tickers.ContinuousTicker

Generate “nice” round ticks at any magnitude.

Creates ticks that are “base” multiples of a set of given mantissas. For example, with base=10 and mantissas=[1, 2, 5], the ticker will generate the sequence:

..., 0.1, 0.2, 0.5, 1, 2, 5, 10, 20, 50, 100, ...
JSON Prototype
{
  "base": 10.0,
  "desired_num_ticks": 6,
  "id": "2465",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "mantissas": [
    1,
    2,
    5
  ],
  "max_interval": null,
  "min_interval": 0.0,
  "name": null,
  "num_minor_ticks": 5,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

base

The multiplier to use for scaling mantissas.

mantissas

The acceptable list numbers to generate multiples of.

min_interval

The smallest allowable interval between two adjacent ticks.

max_interval

The largest allowable interval between two adjacent ticks.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


base = 10.0
Type

Float

The multiplier to use for scaling mantissas.

desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

mantissas = [1, 2, 5]
Type

Seq(Float)

The acceptable list numbers to generate multiples of.

max_interval = None
Type

Nullable(Float)

The largest allowable interval between two adjacent ticks.

Note

To specify an unbounded interval, set to None.

min_interval = 0.0
Type

Float

The smallest allowable interval between two adjacent ticks.

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_minor_ticks = 5
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.

BasicTicker

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

Bases: bokeh.models.tickers.AdaptiveTicker

Generate ticks on a linear scale.

Note

This class may be renamed to LinearTicker in the future.

JSON Prototype
{
  "base": 10.0,
  "desired_num_ticks": 6,
  "id": "2475",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "mantissas": [
    1,
    2,
    5
  ],
  "max_interval": null,
  "min_interval": 0.0,
  "name": null,
  "num_minor_ticks": 5,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

Inherited from : py: class:AdaptiveTicker

base

The multiplier to use for scaling mantissas.

mantissas

The acceptable list numbers to generate multiples of.

min_interval

The smallest allowable interval between two adjacent ticks.

max_interval

The largest allowable interval between two adjacent ticks.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


base = 10.0
Type

Float

The multiplier to use for scaling mantissas.

desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

mantissas = [1, 2, 5]
Type

Seq(Float)

The acceptable list numbers to generate multiples of.

max_interval = None
Type

Nullable(Float)

The largest allowable interval between two adjacent ticks.

Note

To specify an unbounded interval, set to None.

min_interval = 0.0
Type

Float

The smallest allowable interval between two adjacent ticks.

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_minor_ticks = 5
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.

BinnedTicker

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

Bases: bokeh.models.tickers.Ticker

Ticker that aligns ticks exactly at bin boundaries of a scanning color mapper.

JSON Prototype
{
  "id": "2485",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "num_major_ticks": 8,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

mapper

A scanning color mapper (e.g.

num_major_ticks

The number of major tick positions to show or "auto" to use the number of bins provided by the mapper.

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


mapper = Undefined
Type

Instance(ScanningColorMapper)

A scanning color mapper (e.g. EqHistColorMapper) to use.

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_major_ticks = 8
Type

Either(Int, Auto)

The number of major tick positions to show or “auto” to use the number of bins provided by the mapper.

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.

CategoricalTicker

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

Bases: bokeh.models.tickers.Ticker

Generate ticks for categorical ranges.

JSON Prototype
{
  "id": "2491",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

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


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.

CompositeTicker

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

Bases: bokeh.models.tickers.ContinuousTicker

Combine different tickers at different scales.

Uses the min_interval and max_interval interval attributes of the tickers to select the appropriate ticker at different scales.

JSON Prototype
{
  "desired_num_ticks": 6,
  "id": "2495",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "num_minor_ticks": 5,
  "subscribed_events": [],
  "syncable": true,
  "tags": [],
  "tickers": []
}

Public Data Attributes:

tickers

A list of Ticker objects to combine at different scales in order to generate tick values. The supplied tickers should be in order. Specifically, if S comes before T, then it should be the case that::.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

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_minor_ticks = 5
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.

tickers = []
Type

Seq(Instance(Ticker))

A list of Ticker objects to combine at different scales in order to generate tick values. The supplied tickers should be in order. Specifically, if S comes before T, then it should be the case that:

S.get_max_interval() < T.get_min_interval()
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.

ContinuousTicker

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

Bases: bokeh.models.tickers.Ticker

A base class for non-categorical ticker 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
{
  "desired_num_ticks": 6,
  "id": "2502",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "num_minor_ticks": 5,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

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_minor_ticks = 5
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.

DatetimeTicker

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

Bases: bokeh.models.tickers.CompositeTicker

Generate nice ticks across different date and time scales.

JSON Prototype
{
  "desired_num_ticks": 6,
  "id": "2508",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "num_minor_ticks": 0,
  "subscribed_events": [],
  "syncable": true,
  "tags": [],
  "tickers": [
    {
      "id": "2509"
    },
    {
      "id": "2510"
    },
    {
      "id": "2511"
    },
    {
      "id": "2512"
    },
    {
      "id": "2513"
    },
    {
      "id": "2514"
    },
    {
      "id": "2515"
    },
    {
      "id": "2516"
    },
    {
      "id": "2517"
    },
    {
      "id": "2518"
    },
    {
      "id": "2519"
    },
    {
      "id": "2520"
    }
  ]
}

Public Data Attributes:

Inherited from : py: class:CompositeTicker

tickers

A list of Ticker objects to combine at different scales in order to generate tick values. The supplied tickers should be in order. Specifically, if S comes before T, then it should be the case that::.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

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_minor_ticks = 0
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.

tickers = [AdaptiveTicker(id='2527', ...), AdaptiveTicker(id='2528', ...), AdaptiveTicker(id='2529', ...), DaysTicker(id='2530', ...), DaysTicker(id='2531', ...), DaysTicker(id='2532', ...), DaysTicker(id='2533', ...), MonthsTicker(id='2534', ...), MonthsTicker(id='2535', ...), MonthsTicker(id='2536', ...), MonthsTicker(id='2537', ...), YearsTicker(id='2538', ...)]
Type

Seq(Instance(Ticker))

A list of Ticker objects to combine at different scales in order to generate tick values. The supplied tickers should be in order. Specifically, if S comes before T, then it should be the case that:

S.get_max_interval() < T.get_min_interval()
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.

DaysTicker

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

Bases: bokeh.models.tickers.SingleIntervalTicker

Generate ticks spaced apart by specific, even multiples of days.

JSON Prototype
{
  "days": [],
  "desired_num_ticks": 6,
  "id": "2539",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "num_minor_ticks": 0,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

days

The intervals of days to use.

Inherited from : py: class:SingleIntervalTicker

interval

The interval between adjacent ticks.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


days = []
Type

Seq(Int)

The intervals of days to use.

desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

interval = Undefined
Type

NonNullable(Float)

The interval between adjacent ticks.

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_minor_ticks = 0
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.

FixedTicker

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

Bases: bokeh.models.tickers.ContinuousTicker

Generate ticks at fixed, explicitly supplied locations.

Note

The desired_num_ticks property is ignored by this Ticker.

JSON Prototype
{
  "desired_num_ticks": 6,
  "id": "2547",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "minor_ticks": [],
  "name": null,
  "num_minor_ticks": 5,
  "subscribed_events": [],
  "syncable": true,
  "tags": [],
  "ticks": []
}

Public Data Attributes:

ticks

List of major tick locations.

minor_ticks

List of minor tick locations.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

minor_ticks = []
Type

Seq(Float)

List of minor tick locations.

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_minor_ticks = 5
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

syncable = True
Type

Bool

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

Note

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

tags = []
Type

List

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

This data can be useful when querying the document to retrieve specific Bokeh models:

>>> r = plot.circle([1,2,3], [4,5,6])
>>> r.tags = ["foo", 10]
>>> plot.select(tags=['foo', 10])
[GlyphRenderer(id='1de4c3df-a83d-480a-899b-fb263d3d5dd9', ...)]

Or simply a convenient way to attach any necessary metadata to a model that can be accessed by CustomJS callbacks, etc.

Note

No uniqueness guarantees or other conditions are enforced on any tags that are provided, nor are the tags used directly by Bokeh for any reason.

ticks = []
Type

Seq(Float)

List of major tick locations.

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.

LogTicker

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

Bases: bokeh.models.tickers.AdaptiveTicker

Generate ticks on a log scale.

JSON Prototype
{
  "base": 10.0,
  "desired_num_ticks": 6,
  "id": "2555",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "mantissas": [
    1,
    5
  ],
  "max_interval": null,
  "min_interval": 0.0,
  "name": null,
  "num_minor_ticks": 5,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

Inherited from : py: class:AdaptiveTicker

base

The multiplier to use for scaling mantissas.

mantissas

The acceptable list numbers to generate multiples of.

min_interval

The smallest allowable interval between two adjacent ticks.

max_interval

The largest allowable interval between two adjacent ticks.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


base = 10.0
Type

Float

The multiplier to use for scaling mantissas.

desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

mantissas = [1, 5]
Type

Seq(Float)

The acceptable list numbers to generate multiples of.

max_interval = None
Type

Nullable(Float)

The largest allowable interval between two adjacent ticks.

Note

To specify an unbounded interval, set to None.

min_interval = 0.0
Type

Float

The smallest allowable interval between two adjacent ticks.

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_minor_ticks = 5
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.

MercatorTicker

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

Bases: bokeh.models.tickers.BasicTicker

Generate nice lat/lon ticks form underlying WebMercator coordinates.

JSON Prototype
{
  "base": 10.0,
  "desired_num_ticks": 6,
  "dimension": null,
  "id": "2565",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "mantissas": [
    1,
    2,
    5
  ],
  "max_interval": null,
  "min_interval": 0.0,
  "name": null,
  "num_minor_ticks": 5,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

dimension

Specify whether to generate ticks for Latitude or Longitude.

Inherited from : py: class:AdaptiveTicker

base

The multiplier to use for scaling mantissas.

mantissas

The acceptable list numbers to generate multiples of.

min_interval

The smallest allowable interval between two adjacent ticks.

max_interval

The largest allowable interval between two adjacent ticks.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


base = 10.0
Type

Float

The multiplier to use for scaling mantissas.

desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

dimension = None
Type

Nullable(Enum(LatLon))

Specify whether to generate ticks for Latitude or Longitude.

Projected coordinates are not separable, computing Latitude and Longitude tick locations from Web Mercator requires considering coordinates from both dimensions together. Use this property to specify which result should be returned.

Typically, if the ticker is for an x-axis, then dimension should be "lon" and if the ticker is for a y-axis, then the dimension should be “lat”`.

In order to prevent hard to debug errors, there is no default value for dimension. Using an un-configured MercatorTicker will result in a validation error and a JavaScript console error.

mantissas = [1, 2, 5]
Type

Seq(Float)

The acceptable list numbers to generate multiples of.

max_interval = None
Type

Nullable(Float)

The largest allowable interval between two adjacent ticks.

Note

To specify an unbounded interval, set to None.

min_interval = 0.0
Type

Float

The smallest allowable interval between two adjacent ticks.

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_minor_ticks = 5
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.

MonthsTicker

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

Bases: bokeh.models.tickers.SingleIntervalTicker

Generate ticks spaced apart by specific, even multiples of months.

JSON Prototype
{
  "desired_num_ticks": 6,
  "id": "2576",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "months": [],
  "name": null,
  "num_minor_ticks": 5,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

months

The intervals of months to use.

Inherited from : py: class:SingleIntervalTicker

interval

The interval between adjacent ticks.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

interval = Undefined
Type

NonNullable(Float)

The interval between adjacent ticks.

months = []
Type

Seq(Int)

The intervals of months to use.

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_minor_ticks = 5
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.

SingleIntervalTicker

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

Bases: bokeh.models.tickers.ContinuousTicker

Generate evenly spaced ticks at a fixed interval regardless of scale.

JSON Prototype
{
  "desired_num_ticks": 6,
  "id": "2584",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "num_minor_ticks": 5,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

interval

The interval between adjacent ticks.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

interval = Undefined
Type

NonNullable(Float)

The interval between adjacent ticks.

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_minor_ticks = 5
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.

Ticker

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

Bases: bokeh.model.model.Model

A base class for all ticker 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
{
  "id": "2591",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

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


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.

YearsTicker

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

Bases: bokeh.models.tickers.SingleIntervalTicker

Generate ticks spaced apart even numbers of years.

JSON Prototype
{
  "desired_num_ticks": 6,
  "id": "2595",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "name": null,
  "num_minor_ticks": 5,
  "subscribed_events": [],
  "syncable": true,
  "tags": []
}

Public Data Attributes:

Inherited from : py: class:SingleIntervalTicker

interval

The interval between adjacent ticks.

Inherited from : py: class:ContinuousTicker

num_minor_ticks

The number of minor tick positions to generate between adjacent major tick values.

desired_num_ticks

A desired target number of major tick positions to generate across the plot range.

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


desired_num_ticks = 6
Type

Int

A desired target number of major tick positions to generate across the plot range.

interval = Undefined
Type

NonNullable(Float)

The interval between adjacent ticks.

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_minor_ticks = 5
Type

Int

The number of minor tick positions to generate between adjacent major tick values.

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.