bokeh.core.property.bases¶

Provide base classes for the Bokeh property system.

exception DeserializationError[source]¶

class ContainerProperty(default=None, help=None, serialized=True, readonly=False)[source]¶

A base class for Container-like type properties.

class PrimitiveProperty(default=None, help=None, serialized=True, readonly=False)[source]¶

A base class for simple property types.

Subclasses should define a class attribute _underlying_type that is a tuple of acceptable type values for the property.

Example

A trivial version of a Float property might look like:

class Float(PrimitiveProperty):
    _underlying_type = (numbers.Real,)

from_json(json, models=None)[source]¶

Convert from JSON-compatible values into a value for this property.

JSON-compatible values are: list, dict, number, string, bool, None

validate(value, detail=True)[source]¶

Determine whether we can set this property from this value.

Validation happens before transform()

Parameters:	value (obj) – the value to validate against this property type detail (bool, options) – whether to construct detailed exceptions Generating detailed type validation error messages can be expensive. When doing type checks internally that will not escape exceptions to users, these messages can be skipped by setting this value to False (default: True)
Returns:	None
Raises:	ValueError if the value is not valid for this property type

class Property(default=None, help=None, serialized=True, readonly=False)[source]¶

Base class for Bokeh property instances, which can be added to Bokeh Models.

Parameters:

default (obj or None, optional) – A default value for attributes created from this property to have (default: None) help (str or None, optional) – A documentation string for this property. It will be automatically used by the bokeh_prop extension when generating Spinx documentation. (default: None) serialized (bool, optional) – Whether attributes created from this property should be included in serialization (default: True) readonly (bool, optional) – Whether attributes created from this property are read-only. (default: False)

__init__(default=None, help=None, serialized=True, readonly=False)[source]¶

Initialize self. See help(type(self)) for accurate signature.

__str__()[source]¶

Return str(self).

accepts(tp, converter)[source]¶

Declare that other types may be converted to this property type.

Parameters:	tp (Property) – A type that may be converted automatically to this property type. converter (callable) – A function accepting value to perform conversion of the value to this property type.
Returns:	self

asserts(fn, msg_or_fn)[source]¶

Assert that prepared values satisfy given conditions.

Assertions are intended in enforce conditions beyond simple value type validation. For instance, this method can be use to assert that the columns of a ColumnDataSource all collectively have the same length at all times.

Parameters:	fn (callable) – A function accepting (obj, value) that returns True if the value passes the assertion, or False otherwise. msg_or_fn (str or callable) – A message to print in case the assertion fails, or a function accepting (obj, name, value) to call in in case the assertion fails.
Returns:	self

from_json(json, models=None)[source]¶

Convert from JSON-compatible values into a value for this property.

JSON-compatible values are: list, dict, number, string, bool, None

is_valid(value)[source]¶

Whether the value passes validation

Parameters:	value (obj) – the value to validate against this property type
Returns:	True if valid, False otherwise

make_descriptors(base_name)[source]¶

Return a list of BasicPropertyDescriptor instances to install on a class, in order to delegate attribute access to this property.

Parameters:	name (str) – the name of the property these descriptors are for
Returns:	list[BasicPropertyDescriptor]

The descriptors returned are collected by the MetaHasProps metaclass and added to HasProps subclasses during class creation.

matches(new, old)[source]¶

Whether two parameters match values.

If either new or old is a NumPy array or Pandas Series or Index, then the result of np.array_equal will determine if the values match.

Otherwise, the result of standard Python equality will be returned.

Returns:	True, if new and old match, False otherwise

serialize_value(value)[source]¶

Change the value into a JSON serializable format.

themed_default(cls, name, theme_overrides)[source]¶

The default, transformed by prepare_value() and the theme overrides.

transform(value)[source]¶

Change the value into the canonical format for this property.

Parameters:	value (obj) – the value to apply transformation to.
Returns:	transformed value
Return type:	obj

validate(value, detail=True)[source]¶

Determine whether we can set this property from this value.

Validation happens before transform()

Parameters:	value (obj) – the value to validate against this property type detail (bool, options) – whether to construct detailed exceptions Generating detailed type validation error messages can be expensive. When doing type checks internally that will not escape exceptions to users, these messages can be skipped by setting this value to False (default: True)
Returns:	None
Raises:	ValueError if the value is not valid for this property type

classmethod wrap(value)[source]¶

Some property types need to wrap their values in special containers, etc.

readonly¶

Whether this property is read-only.

Read-only properties may only be modified by the client (i.e., by BokehJS in the browser).

serialized¶

Whether the property should be serialized when serializing an object.

This would be False for a “virtual” or “convenience” property that duplicates information already available in other properties, for example.

validation_on()[source]¶

Check if property validation is currently active

Returns:	bool