Models for controlling the text and visual formatting of tick labels on Bokeh plot axes.
Bases: TickFormatter
Display tick values from continuous ranges as âbasic numbersâ, using scientific notation when appropriate by default.
{
"id": "p59168",
"js_event_callbacks": {
"type": "map"
},
"js_property_callbacks": {
"type": "map"
},
"name": null,
"power_limit_high": 5,
"power_limit_low": -3,
"precision": "auto",
"subscribed_events": {
"type": "set"
},
"syncable": true,
"tags": [],
"use_scientific": true
}
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.
Limit the use of scientific notation to when:
log(x) >= power_limit_high
Limit the use of scientific notation to when:
log(x) <= power_limit_low
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 donât 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.
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.
Whether to ever display scientific notation. If True, then when to use scientific notation is controlled by power_limit_low and power_limit_high.
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).
property_values (dict) â theme values to use in place of defaults
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.
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.
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.
List of property descriptors in the order of definition.
Clean up references to the document and property
Structural equality of models.
other (HasProps) â the other instance to compare to
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.
Added in version 1.1
ValueError â
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 plotâs 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]"
)
)
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)
Find the PropertyDescriptor for a Bokeh property on a class, given the property name.
descriptor for property named name
Add a callback on this object to trigger when attr changes.
attr (str) â an attribute name on this object
*callbacks (callable) â callback functions to register
None
Examples
widget.on_change('value', callback1, callback2, ..., callback_n)
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.
Generate Python Parameter values suitable for functions that are derived from the glyph.
list(Parameter)
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.
property names
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.
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 âserializedâ 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.
Query the properties values of HasProps instances with a predicate.
query (callable) â A callable that accepts property descriptors and returns True or False
include_defaults (bool, optional) â Whether to include properties that have not been explicitly set by a user (default: True)
mapping of property names and values for matching properties
Returns all Models that this object has references to.
Remove a callback from this object
Query this object and all of its references for objects that match the given selector.
selector (JSON-like)
seq[Model]
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
Model
Set a property value on this object from JSON.
name (str) â name of the attribute to set
value (JSON-value) â value to set to the attribute to
setter (ClientSession or ServerSession or None, optional) â
This is used to prevent âboomerangâ 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.
None
Update objects that match a given selector with the specified attribute/value updates.
selector (JSON-like)
updates (dict)
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.
dict or None
Converts this object to a serializable representation.
Remove any themed values and restore defaults.
None
Updates the objectâs properties from the given keyword arguments.
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)
The Document this model is attached to (can be None)
Bases: TickFormatter
Display tick values from categorical ranges as string values.
{
"id": "p59176",
"js_event_callbacks": {
"type": "map"
},
"js_property_callbacks": {
"type": "map"
},
"name": null,
"subscribed_events": {
"type": "set"
},
"syncable": true,
"tags": []
}
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.
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 donât 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.
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.
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).
property_values (dict) â theme values to use in place of defaults
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.
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.
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.
List of property descriptors in the order of definition.
Clean up references to the document and property
Structural equality of models.
other (HasProps) â the other instance to compare to
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.
Added in version 1.1
ValueError â
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 plotâs 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]"
)
)
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)
Find the PropertyDescriptor for a Bokeh property on a class, given the property name.
descriptor for property named name
Add a callback on this object to trigger when attr changes.
attr (str) â an attribute name on this object
*callbacks (callable) â callback functions to register
None
Examples
widget.on_change('value', callback1, callback2, ..., callback_n)
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.
Generate Python Parameter values suitable for functions that are derived from the glyph.
list(Parameter)
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.
property names
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.
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 âserializedâ 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.
Query the properties values of HasProps instances with a predicate.
query (callable) â A callable that accepts property descriptors and returns True or False
include_defaults (bool, optional) â Whether to include properties that have not been explicitly set by a user (default: True)
mapping of property names and values for matching properties
Returns all Models that this object has references to.
Remove a callback from this object
Query this object and all of its references for objects that match the given selector.
selector (JSON-like)
seq[Model]
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
Model
Set a property value on this object from JSON.
name (str) â name of the attribute to set
value (JSON-value) â value to set to the attribute to
setter (ClientSession or ServerSession or None, optional) â
This is used to prevent âboomerangâ 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.
None
Update objects that match a given selector with the specified attribute/value updates.
selector (JSON-like)
updates (dict)
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.
dict or None
Converts this object to a serializable representation.
Remove any themed values and restore defaults.
None
Updates the objectâs properties from the given keyword arguments.
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)
The Document this model is attached to (can be None)
Bases: TickFormatter
Display tick values that are formatted by a user-defined function.
Warning
The explicit purpose of this Bokeh Model is to embed raw JavaScript code for a browser to execute. If any part of the code is derived from untrusted user inputs, then you must take appropriate care to sanitize the user input prior to passing to Bokeh.
{
"args": {
"type": "map"
},
"code": "",
"id": "p59180",
"js_event_callbacks": {
"type": "map"
},
"js_property_callbacks": {
"type": "map"
},
"name": null,
"subscribed_events": {
"type": "set"
},
"syncable": true,
"tags": []
}
A mapping of names to Python objects. In particular those can be bokehâs models. These objects are made available to the formatterâs code snippet as the values of named parameters to the callback.
A snippet of JavaScript code that reformats a single tick to the desired format. The variable tick will contain the unformatted tick value and can be expected to be present in the code snippet namespace at render time.
Additionally available variables are:
ticks, an array of all axis ticks as positioned by the ticker,
index, the position of tick within ticks, and
the keys of args mapping, if any.
Finding yourself needing to cache an expensive ticks-dependent computation, you can store it on the this variable.
Example
code = ''' this.precision = this.precision || (ticks.length > 5 ? 1 : 2); return Math.floor(tick) + " + " + (tick % 1).toFixed(this.precision); '''
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.
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 donât 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.
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.
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).
property_values (dict) â theme values to use in place of defaults
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.
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.
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.
List of property descriptors in the order of definition.
Clean up references to the document and property
Structural equality of models.
other (HasProps) â the other instance to compare to
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.
Added in version 1.1
ValueError â
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 plotâs 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]"
)
)
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)
Find the PropertyDescriptor for a Bokeh property on a class, given the property name.
descriptor for property named name
Add a callback on this object to trigger when attr changes.
attr (str) â an attribute name on this object
*callbacks (callable) â callback functions to register
None
Examples
widget.on_change('value', callback1, callback2, ..., callback_n)
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.
Generate Python Parameter values suitable for functions that are derived from the glyph.
list(Parameter)
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.
property names
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.
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 âserializedâ 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.
Query the properties values of HasProps instances with a predicate.
query (callable) â A callable that accepts property descriptors and returns True or False
include_defaults (bool, optional) â Whether to include properties that have not been explicitly set by a user (default: True)
mapping of property names and values for matching properties
Returns all Models that this object has references to.
Remove a callback from this object
Query this object and all of its references for objects that match the given selector.
selector (JSON-like)
seq[Model]
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
Model
Set a property value on this object from JSON.
name (str) â name of the attribute to set
value (JSON-value) â value to set to the attribute to
setter (ClientSession or ServerSession or None, optional) â
This is used to prevent âboomerangâ 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.
None
Update objects that match a given selector with the specified attribute/value updates.
selector (JSON-like)
updates (dict)
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.
dict or None
Converts this object to a serializable representation.
Remove any themed values and restore defaults.
None
Updates the objectâs properties from the given keyword arguments.
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)
The Document this model is attached to (can be None)
Bases: TickFormatter
A TickFormatter for displaying datetime values nicely across a range of scales.
DatetimeTickFormatter has the following properties (listed together with their default values) that can be used to control the formatting of axis ticks at different scales:
Each scale property can be set to format or list of formats to use for formatting datetime tick values that fall in that âtime scaleâ. By default, only the first format string passed for each time scale will be used. By default, all leading zeros are stripped away from the formatted labels.
This list of supported strftime formats is reproduced below.
Warning
The client library BokehJS uses the timezone library to format datetimes. The inclusion of the list below is based on the claim that timezone makes to support âthe full complement of GNU date format specifiers.â However, this claim has not been tested exhaustively against this list. If you find formats that do not function as expected, please submit a GitHub issue, so that the documentation can be updated appropriately.
{
"boundary_scaling": true,
"context": null,
"context_location": "below",
"context_which": "start",
"days": "%m/%d",
"hide_repeats": false,
"hourmin": "%H:%M",
"hours": "%Hh",
"id": "p59186",
"js_event_callbacks": {
"type": "map"
},
"js_property_callbacks": {
"type": "map"
},
"microseconds": "%fus",
"milliseconds": "%3Nms",
"minsec": ":%M:%S",
"minutes": ":%M",
"months": "%m/%Y",
"name": null,
"seconds": "%Ss",
"strip_leading_zeros": false,
"subscribed_events": {
"type": "set"
},
"syncable": true,
"tags": [],
"years": "%Y"
}
Whether to scale up ticks that are right at the boundary of the next higher resolution of time. E.g. at the hours scale a tick sequence of [â00hâ, â06hâ, â12hâ, 18hâ, â00hâ] will see a scale up of the â00hâ ticks as they are on boundary of the days scale: [â06/08â, â06hâ, â12hâ, 18hâ, â06/09â]
A format for adding context to the tick or ticks specified by context_which. Valid values are:
None, no context is added
A standard DatetimeTickFormatter format string, the single format is used across all scales
Another DatetimeTickFormatter instance, to have scale-dependent context
Relative to the tick label text baseline, where the context should be rendered. Valid values are: âbelowâ, âaboveâ, âleftâ, and ârightâ.
Which tick or ticks to add a formatted context string to. Valid values are: âstartâ, âendâ, âcenterâ, and âallâ.
Formats for displaying datetime values in the days range.
See the DatetimeTickFormatter help for a list of all supported formats.
Whether repeated formatted tick values will be suppressed.
For example, an initial set of ticks ["06/07", "06/07", "06/07", "06/08", "06/08"] will become ["06/07", "", "", "06/08", ""]. Only the base label, without any additional context, is considered when determining repeats. If the context itself is a DatetimeTickFormatter, then this property may also be set for the context separately, if desired.
Formats for displaying datetime values in the hourmin (for combined hours and minutes) range.
See the DatetimeTickFormatter help for a list of all supported formats.
Formats for displaying datetime values in the hours range.
See the DatetimeTickFormatter help for a list of all supported formats.
Formats for displaying datetime values in the microseconds range.
See the DatetimeTickFormatter help for a list of all supported formats.
Formats for displaying datetime values in the milliseconds range.
See the DatetimeTickFormatter help for a list of all supported formats.
Formats for displaying datetime values in the minsec (for combined minutes and seconds) range.
See the DatetimeTickFormatter help for a list of all supported formats.
Formats for displaying datetime values in the minutes range.
See the DatetimeTickFormatter help for a list of all supported formats.
Formats for displaying datetime values in the months range.
See the DatetimeTickFormatter help for a list of all supported formats.
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.
Formats for displaying datetime values in the seconds range.
See the DatetimeTickFormatter help for a list of all supported formats.
Either(Bool, Seq(Enum(ResolutionType)))
Whether to strip any leading zeros in the formatted ticks.
Valid values are:
True or False (default) to set stripping across all resolutions.
A sequence of resolution types, e.g. ["microseconds", "milliseconds"], to enable scale-dependent stripping of leading zeros.
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 donât 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.
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.
Formats for displaying datetime values in the years range.
See the DatetimeTickFormatter help for a list of all supported formats.
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).
property_values (dict) â theme values to use in place of defaults
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.
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.
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.
List of property descriptors in the order of definition.
Clean up references to the document and property
Structural equality of models.
other (HasProps) â the other instance to compare to
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.
Added in version 1.1
ValueError â
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 plotâs 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]"
)
)
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)
Find the PropertyDescriptor for a Bokeh property on a class, given the property name.
descriptor for property named name
Add a callback on this object to trigger when attr changes.
attr (str) â an attribute name on this object
*callbacks (callable) â callback functions to register
None
Examples
widget.on_change('value', callback1, callback2, ..., callback_n)
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.
Generate Python Parameter values suitable for functions that are derived from the glyph.
list(Parameter)
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.
property names
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.
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 âserializedâ 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.
Query the properties values of HasProps instances with a predicate.
query (callable) â A callable that accepts property descriptors and returns True or False
include_defaults (bool, optional) â Whether to include properties that have not been explicitly set by a user (default: True)
mapping of property names and values for matching properties
Returns all Models that this object has references to.
Remove a callback from this object
Query this object and all of its references for objects that match the given selector.
selector (JSON-like)
seq[Model]
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
Model
Set a property value on this object from JSON.
name (str) â name of the attribute to set
value (JSON-value) â value to set to the attribute to
setter (ClientSession or ServerSession or None, optional) â
This is used to prevent âboomerangâ 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.
None
Update objects that match a given selector with the specified attribute/value updates.
selector (JSON-like)
updates (dict)
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.
dict or None
Converts this object to a serializable representation.
Remove any themed values and restore defaults.
None
Updates the objectâs properties from the given keyword arguments.
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)
The Document this model is attached to (can be None)
Bases: TickFormatter
Display tick values from continuous ranges as powers of some base.
Most often useful in conjunction with a LogTicker.
{
"id": "p59206",
"js_event_callbacks": {
"type": "map"
},
"js_property_callbacks": {
"type": "map"
},
"min_exponent": 0,
"name": null,
"subscribed_events": {
"type": "set"
},
"syncable": true,
"tags": [],
"ticker": null
}
Minimum exponent to format in scientific notation. If not zero all ticks in range from base^-min_exponent to base^min_exponent are displayed without exponential notation.
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.
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 donât 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.
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.
The corresponding LogTicker, used to determine the correct base to use. If unset, the formatter will use base 10 as a default.
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).
property_values (dict) â theme values to use in place of defaults
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.
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.
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.
List of property descriptors in the order of definition.
Clean up references to the document and property
Structural equality of models.
other (HasProps) â the other instance to compare to
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.
Added in version 1.1
ValueError â
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 plotâs 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]"
)
)
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)
Find the PropertyDescriptor for a Bokeh property on a class, given the property name.
descriptor for property named name
Add a callback on this object to trigger when attr changes.
attr (str) â an attribute name on this object
*callbacks (callable) â callback functions to register
None
Examples
widget.on_change('value', callback1, callback2, ..., callback_n)
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.
Generate Python Parameter values suitable for functions that are derived from the glyph.
list(Parameter)
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.
property names
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.
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 âserializedâ 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.
Query the properties values of HasProps instances with a predicate.
query (callable) â A callable that accepts property descriptors and returns True or False
include_defaults (bool, optional) â Whether to include properties that have not been explicitly set by a user (default: True)
mapping of property names and values for matching properties
Returns all Models that this object has references to.
Remove a callback from this object
Query this object and all of its references for objects that match the given selector.
selector (JSON-like)
seq[Model]
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
Model
Set a property value on this object from JSON.
name (str) â name of the attribute to set
value (JSON-value) â value to set to the attribute to
setter (ClientSession or ServerSession or None, optional) â
This is used to prevent âboomerangâ 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.
None
Update objects that match a given selector with the specified attribute/value updates.
selector (JSON-like)
updates (dict)
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.
dict or None
Converts this object to a serializable representation.
Remove any themed values and restore defaults.
None
Updates the objectâs properties from the given keyword arguments.
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)
The Document this model is attached to (can be None)
Bases: BasicTickFormatter
A TickFormatter for values in WebMercator units.
Some map plot types internally use WebMercator to describe coordinates, plot bounds, etc. These units are not very human-friendly. This tick formatter will convert WebMercator units into Latitude and Longitude for display on axes.
{
"dimension": null,
"id": "p59212",
"js_event_callbacks": {
"type": "map"
},
"js_property_callbacks": {
"type": "map"
},
"name": null,
"power_limit_high": 5,
"power_limit_low": -3,
"precision": "auto",
"subscribed_events": {
"type": "set"
},
"syncable": true,
"tags": [],
"use_scientific": true
}
Specify whether to format ticks for Latitude or Longitude.
Projected coordinates are not separable, computing Latitude and Longitude tick labels from Web Mercator requires considering coordinates from both dimensions together. Use this property to specify which result should be used for display.
Typically, if the formatter is for an x-axis, then dimension should be "lon" and if the formatter is for a y-axis, then the dimension should be âlatâ`.
In order to prevent hard to debug errors, there is no default value for dimension. Using an un-configured MercatorTickFormatter will result in a validation error and a JavaScript console error.
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.
Limit the use of scientific notation to when:
log(x) >= power_limit_high
Limit the use of scientific notation to when:
log(x) <= power_limit_low
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 donât 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.
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.
Whether to ever display scientific notation. If True, then when to use scientific notation is controlled by power_limit_low and power_limit_high.
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).
property_values (dict) â theme values to use in place of defaults
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.
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.
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.
List of property descriptors in the order of definition.
Clean up references to the document and property
Structural equality of models.
other (HasProps) â the other instance to compare to
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.
Added in version 1.1
ValueError â
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 plotâs 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]"
)
)
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)
Find the PropertyDescriptor for a Bokeh property on a class, given the property name.
descriptor for property named name
Add a callback on this object to trigger when attr changes.
attr (str) â an attribute name on this object
*callbacks (callable) â callback functions to register
None
Examples
widget.on_change('value', callback1, callback2, ..., callback_n)
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.
Generate Python Parameter values suitable for functions that are derived from the glyph.
list(Parameter)
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.
property names
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.
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 âserializedâ 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.
Query the properties values of HasProps instances with a predicate.
query (callable) â A callable that accepts property descriptors and returns True or False
include_defaults (bool, optional) â Whether to include properties that have not been explicitly set by a user (default: True)
mapping of property names and values for matching properties
Returns all Models that this object has references to.
Remove a callback from this object
Query this object and all of its references for objects that match the given selector.
selector (JSON-like)
seq[Model]
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
Model
Set a property value on this object from JSON.
name (str) â name of the attribute to set
value (JSON-value) â value to set to the attribute to
setter (ClientSession or ServerSession or None, optional) â
This is used to prevent âboomerangâ 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.
None
Update objects that match a given selector with the specified attribute/value updates.
selector (JSON-like)
updates (dict)
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.
dict or None
Converts this object to a serializable representation.
Remove any themed values and restore defaults.
None
Updates the objectâs properties from the given keyword arguments.
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)
The Document this model is attached to (can be None)
Bases: TickFormatter
Tick formatter based on a human-readable format string.
{
"format": "0,0",
"id": "p59221",
"js_event_callbacks": {
"type": "map"
},
"js_property_callbacks": {
"type": "map"
},
"language": "en",
"name": null,
"rounding": "round",
"subscribed_events": {
"type": "set"
},
"syncable": true,
"tags": []
}
The number format, as defined in the following tables:
NUMBERS:
CURRENCY:
BYTES:
PERCENTAGES:
TIME:
For the complete specification, see http://numbrojs.com/format.html
The language to use for formatting language-specific features (e.g. thousands separator).
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.
Rounding functions (round, floor, ceil) and their synonyms (nearest, rounddown, roundup).
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 donât 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.
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.
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).
property_values (dict) â theme values to use in place of defaults
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.
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.
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.
List of property descriptors in the order of definition.
Clean up references to the document and property
Structural equality of models.
other (HasProps) â the other instance to compare to
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.
Added in version 1.1
ValueError â
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 plotâs 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]"
)
)
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)
Find the PropertyDescriptor for a Bokeh property on a class, given the property name.
descriptor for property named name
Add a callback on this object to trigger when attr changes.
attr (str) â an attribute name on this object
*callbacks (callable) â callback functions to register
None
Examples
widget.on_change('value', callback1, callback2, ..., callback_n)
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.
Generate Python Parameter values suitable for functions that are derived from the glyph.
list(Parameter)
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.
property names
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.
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 âserializedâ 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.
Query the properties values of HasProps instances with a predicate.
query (callable) â A callable that accepts property descriptors and returns True or False
include_defaults (bool, optional) â Whether to include properties that have not been explicitly set by a user (default: True)
mapping of property names and values for matching properties
Returns all Models that this object has references to.
Remove a callback from this object
Query this object and all of its references for objects that match the given selector.
selector (JSON-like)
seq[Model]
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
Model
Set a property value on this object from JSON.
name (str) â name of the attribute to set
value (JSON-value) â value to set to the attribute to
setter (ClientSession or ServerSession or None, optional) â
This is used to prevent âboomerangâ 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.
None
Update objects that match a given selector with the specified attribute/value updates.
selector (JSON-like)
updates (dict)
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.
dict or None
Converts this object to a serializable representation.
Remove any themed values and restore defaults.
None
Updates the objectâs properties from the given keyword arguments.
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)
The Document this model is attached to (can be None)
Bases: TickFormatter
Tick formatter based on a printf-style format string.
{
"format": "%s",
"id": "p59228",
"js_event_callbacks": {
"type": "map"
},
"js_property_callbacks": {
"type": "map"
},
"name": null,
"subscribed_events": {
"type": "set"
},
"syncable": true,
"tags": []
}
The number format, as defined as follows: the placeholder in the format string is marked by % and is followed by one or more of these elements, in this order:
+ sign
Causes the result to be preceded with a plus or minus sign on numeric values. By default, only the - sign is used on negative numbers.
Specifies what (if any) character to use for padding. Possible values are 0 or any other character preceded by a ' (single quote). The default is to pad with spaces.
- sign
Causes sprintf to left-align the result of this placeholder. The default is to right-align the result.
Specifies how many characters the result should have. If the value to be returned is shorter than this number, the result will be padded.
Consists of a . (dot) followed by a number, specifies how many digits should be displayed for floating point numbers. When used on a string, it causes the result to be truncated.
Can be any of:
% â yields a literal % character
b â yields an integer as a binary number
c â yields an integer as the character with that ASCII value
d or i â yields an integer as a signed decimal number
e â yields a float using scientific notation
u â yields an integer as an unsigned decimal number
f â yields a float as is
o â yields an integer as an octal number
s â yields a string as is
x â yields an integer as a hexadecimal number (lower-case)
X â yields an integer as a hexadecimal number (upper-case)
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.
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 donât 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.
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.
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).
property_values (dict) â theme values to use in place of defaults
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.
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.
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.
List of property descriptors in the order of definition.
Clean up references to the document and property
Structural equality of models.
other (HasProps) â the other instance to compare to
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.
Added in version 1.1
ValueError â
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 plotâs 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]"
)
)
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)
Find the PropertyDescriptor for a Bokeh property on a class, given the property name.
descriptor for property named name
Add a callback on this object to trigger when attr changes.
attr (str) â an attribute name on this object
*callbacks (callable) â callback functions to register
None
Examples
widget.on_change('value', callback1, callback2, ..., callback_n)
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.
Generate Python Parameter values suitable for functions that are derived from the glyph.
list(Parameter)
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.
property names
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.
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 âserializedâ 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.
Query the properties values of HasProps instances with a predicate.
query (callable) â A callable that accepts property descriptors and returns True or False
include_defaults (bool, optional) â Whether to include properties that have not been explicitly set by a user (default: True)
mapping of property names and values for matching properties
Returns all Models that this object has references to.
Remove a callback from this object
Query this object and all of its references for objects that match the given selector.
selector (JSON-like)
seq[Model]
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
Model
Set a property value on this object from JSON.
name (str) â name of the attribute to set
value (JSON-value) â value to set to the attribute to
setter (ClientSession or ServerSession or None, optional) â
This is used to prevent âboomerangâ 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.
None
Update objects that match a given selector with the specified attribute/value updates.
selector (JSON-like)
updates (dict)
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.
dict or None
Converts this object to a serializable representation.
Remove any themed values and restore defaults.
None
Updates the objectâs properties from the given keyword arguments.
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)
The Document this model is attached to (can be None)
Bases: Model
A base class for all tick formatter 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.
{
"id": "p59233",
"js_event_callbacks": {
"type": "map"
},
"js_property_callbacks": {
"type": "map"
},
"name": null,
"subscribed_events": {
"type": "set"
},
"syncable": true,
"tags": []
}
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.
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 donât 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.
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.
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).
property_values (dict) â theme values to use in place of defaults
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.
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.
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.
List of property descriptors in the order of definition.
Clean up references to the document and property
Structural equality of models.
other (HasProps) â the other instance to compare to
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.
Added in version 1.1
ValueError â
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 plotâs 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]"
)
)
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)
Find the PropertyDescriptor for a Bokeh property on a class, given the property name.
descriptor for property named name
Add a callback on this object to trigger when attr changes.
attr (str) â an attribute name on this object
*callbacks (callable) â callback functions to register
None
Examples
widget.on_change('value', callback1, callback2, ..., callback_n)
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.
Generate Python Parameter values suitable for functions that are derived from the glyph.
list(Parameter)
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.
property names
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.
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 âserializedâ 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.
Query the properties values of HasProps instances with a predicate.
query (callable) â A callable that accepts property descriptors and returns True or False
include_defaults (bool, optional) â Whether to include properties that have not been explicitly set by a user (default: True)
mapping of property names and values for matching properties
Returns all Models that this object has references to.
Remove a callback from this object
Query this object and all of its references for objects that match the given selector.
selector (JSON-like)
seq[Model]
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
Model
Set a property value on this object from JSON.
name (str) â name of the attribute to set
value (JSON-value) â value to set to the attribute to
setter (ClientSession or ServerSession or None, optional) â
This is used to prevent âboomerangâ 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.
None
Update objects that match a given selector with the specified attribute/value updates.
selector (JSON-like)
updates (dict)
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.
dict or None
Converts this object to a serializable representation.
Remove any themed values and restore defaults.
None
Updates the objectâs properties from the given keyword arguments.
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)
The Document this model is attached to (can be None)
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