bokeh.models.TapTool#

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

Bases: Tap, SelectTool

toolbar icon:

The tap selection tool allows the user to select at single points by left-clicking a mouse, or tapping with a finger.

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

Note

Selections can be comprised of multiple regions, even those made by different selection tools. Hold down the SHIFT key while making a selection to append the new selection to any previous selection that might exist.

Property index#
`behavior`	`callback`
`description`	`gesture`
`group`	`icon`
`mode`	`modifiers`
`name`	`renderers`
`syncable`	`tags`
`visible`	`document`

Properties#

behavior = 'select'#

Type:: Enum(Enumeration(select, inspect))

This tool can be configured to either make selections or inspections on associated data sources. The difference is that selection changes propagate across bokeh and other components (e.g. selection glyph) will be notified. Inspections don’t act like this, so it’s useful to configure callback when setting behavior=’inspect’.

callback = None#

Type:: Nullable(Instance(Callback))

A callback to execute whenever a glyph is “hit” by a mouse click or tap.

This is often useful with the OpenURL model to open URLs based on a user clicking or tapping a specific glyph.

However, it may also be a CustomJS which can execute arbitrary JavaScript code in response to clicking or tapping glyphs. The callback will be executed for each individual glyph that is it hit by a click or tap, and will receive the TapTool model as cb_obj. The optional cb_data will have the data source as its .source attribute and the selection geometry as its .geometries attribute.

The .geometries attribute has 5 members. .type is the geometry type, which always a .point for a tap event. .sx and .sy are the screen X and Y coordinates where the tap occurred. .x and .y are the converted data coordinates for the item that has been selected. The .x and .y values are based on the axis assigned to that glyph.

Note

This callback does not execute on every tap, only when a glyph is “hit”. If you would like to execute a callback on every mouse tap, please see js_on_event callback triggers.

description = None#

Type:: Nullable(String)

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

gesture = 'tap'#

Type:: Enum(Enumeration(tap, doubletap))

Specifies which kind of gesture will be used to trigger the tool, either a single or double tap.

group = True#

Type:: Either(String, Bool)

The name of the group this tool belongs to.

By default set to True, indicating the default group. If set to False, it will prevent the tool from being grouped altogether (regardless of Toolbar.group setting).

icon = None#

Type:: Nullable(

Either(

Image,

Enum(ToolIcon),

Regex,

Regex,

Regex

)

)

An icon to display in the toolbar.

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

mode = 'toggle'#

Type:: Enum(SelectionMode)

Defines what should happen when a new selection is made.

The default is to toggle the existing selection. Other options are to replace the selection, append to it, intersect with it, subtract from it or compute a symmetric difference with it.

modifiers = {}#

Type:: Struct

Allows to configure a combination of modifier keys, which need to be pressed during the selected gesture for this tool to trigger.

For example, to accept tap events only when Ctrl and Shift keys are pressed, use:

tool = TapTool(modifiers=dict(ctrl=True, shift=True))
plot.add_tools(tool)

or alternatively using a concise syntax:

tool = TapTool(modifiers="ctrl+shift")
plot.add_tools(tool)

Warning

Configuring modifiers is a platform dependent feature and can make this tool unusable for example on mobile devices.

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.scatter([1,2,3], [4,5,6], name="temp")
>>> plot.select(name="temp")
[GlyphRenderer(id='399d53f5-73e9-44d9-9527-544b761c7705', ...)]

Note

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

renderers = 'auto'#

Type:: Either(Auto, List)

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

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

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

Note

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

visible = True#

Type:: Bool

Whether a tool button associated with this tool should appear in the toolbar.

property document: Document | None#: The Document this model is attached to (can be None)

Methods#

apply_theme(property_values: dict[str, Any]) → None#

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

The passed-in dictionary may be kept around as-is and shared with other instances to save memory (so neither the caller nor the HasProps instance should modify it).

Parameters:: property_values (dict) – theme values to use in place of defaults
Returns:: None

classmethod clear_extensions() → None#

Clear any currently defined custom extensions.

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

clone(**overrides: Any) → Self#

Duplicate a HasProps object.

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

classmethod dataspecs() → dict[str, DataSpec]#

Collect the names of all DataSpec properties on this class.

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

Returns:: names of DataSpec properties
Return type:: set[str]

classmethod descriptors() → list[PropertyDescriptor[Any]]#: List of property descriptors in the order of definition.

destroy() → None#: Clean up references to the document and property

equals(other: HasProps) → bool#

Structural equality of models.

Parameters:: other (HasProps) – the other instance to compare to
Returns:: True, if properties are structurally equal, otherwise False

classmethod from_string(name: str) → Tool#: Takes a string and returns a corresponding Tool instance.

js_link(attr: str, other: Model, other_attr: str, attr_selector: int | str | None = None) → None#

Link two Bokeh model properties using JavaScript.

This is a convenience method that simplifies adding a CustomJS callback to update one Bokeh model property whenever another changes value.

Parameters:

attr (str) – The name of a Bokeh property on this model
other (Model) – A Bokeh model to link to self.attr
other_attr (str) – The property on other to link together
attr_selector (int | str) – The index to link an item in a subscriptable attr

Added in version 1.1

Raises:: ValueError –

Examples

This code with js_link:

select.js_link('value', plot, 'sizing_mode')

is equivalent to the following:

from bokeh.models import CustomJS
select.js_on_change('value',
    CustomJS(args=dict(other=plot),
             code="other.sizing_mode = this.value"
    )
)

Additionally, to use attr_selector to attach the left side of a range slider to a plot’s x_range:

range_slider.js_link('value', plot.x_range, 'start', attr_selector=0)

which is equivalent to:

from bokeh.models import CustomJS
range_slider.js_on_change('value',
    CustomJS(args=dict(other=plot.x_range),
             code="other.start = this.value[0]"
    )
)

js_on_change(event: str, *callbacks: JSChangeCallback) → None#

Attach a CustomJS callback to an arbitrary BokehJS model event.

On the BokehJS side, change events for model properties have the form "change:property_name". As a convenience, if the event name passed to this method is also the name of a property on the model, then it will be prefixed with "change:" automatically:

# these two are equivalent
source.js_on_change('data', callback)
source.js_on_change('change:data', callback)

However, there are other kinds of events that can be useful to respond to, in addition to property change events. For example to run a callback whenever data is streamed to a ColumnDataSource, use the "stream" event on the source:

source.js_on_change('streaming', callback)

classmethod lookup(name: str, *, raises: bool = True) → PropertyDescriptor[Any] | None#

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

Parameters:

name (str) – name of the property to search for
raises (bool) – whether to raise or return None if missing

Returns:

descriptor for property named name

Return type:

PropertyDescriptor

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

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

Parameters:

attr (str) – an attribute name on this object
*callbacks (callable) – callback functions to register

Returns:

None

Examples

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

on_event(event: str | type[Event], *callbacks: EventCallback) → None#

Run callbacks when the specified event occurs on this Model

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

classmethod parameters() → list[Parameter]#

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

Returns:: list(Parameter)

classmethod properties(*, _with_props: bool = False) → set[str] | dict[str, Property[Any]]#

Collect the names of properties on this class.

Warning

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

Returns:: property names

classmethod properties_with_refs() → dict[str, Property[Any]]#

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

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

Returns:: names of properties that have references
Return type:: set[str]

properties_with_values(*, include_defaults: bool = True, include_undefined: bool = False) → dict[str, Any]#

Collect a dict mapping property names to their values.

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

Non-serializable properties are skipped and property values are in “serialized” format which may be slightly different from the values you would normally read from the properties; the intent of this method is to return the information needed to losslessly reconstitute the object instance.

Parameters:: include_defaults (bool, optional) – Whether to include properties that haven’t been explicitly set since the object was created. (default: True)
Returns:: mapping from property names to their values
Return type:: dict

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

Query the properties values of HasProps instances with a predicate.

Parameters:

query (callable) – A callable that accepts property descriptors and returns True or False
include_defaults (bool, optional) – Whether to include properties that have not been explicitly set by a user (default: True)

Returns:

mapping of property names and values for matching properties

Return type:

dict

references() → set[Model]#: Returns all Models that this object has references to.

remove_on_change(attr: str, *callbacks: PropertyCallback) → 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.

Parameters:: selector (JSON-like)
Returns:: Model

set_from_json(name: str, value: Any, *, setter: Setter | None = None) → None#

Set a property value on this object from JSON.

Parameters:

name (str) – name of the attribute to set
value (JSON-value) – value to set to the attribute to
setter (ClientSession or ServerSession or None, optional) –
This is used to prevent “boomerang” updates to Bokeh apps.

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

Returns:

None

set_select(selector: type[Model] | SelectorType, updates: dict[str, Any]) → None#

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

Parameters:

selector (JSON-like)
updates (dict)

Returns:

None

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

Get any theme-provided overrides.

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

Returns:: dict or None

to_serializable(serializer: Serializer) → ObjectRefRep#: Converts this object to a serializable representation.

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

unapply_theme() → None#

Remove any themed values and restore defaults.

Returns:: None

update(**kwargs: Any) → None#

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

Returns:: None

Examples

The following are equivalent:

from bokeh.models import Range1d

r = Range1d

# set properties individually:
r.start = 10
r.end = 20

# update properties together:
r.update(start=10, end=20)