napari.utils.Colormap

class napari.utils.Colormap(colors, display_name: Optional[str] = None, *, name: str = 'custom', interpolation: napari.utils.colormaps.colormap.ColormapInterpolationMode = ColormapInterpolationMode.LINEAR, controls: napari.utils.events.custom_types.Array = None)

Bases: napari.utils.events.evented_model.EventedModel

Colormap that relates intensity values to colors.

colors

Data used in the colormap.

Type

array, shape (N, 4)

name

Name of the colormap.

Type

str

display_name

Display name of the colormap.

Type

str

controls

Control points of the colormap.

Type

array, shape (N,) or (N+1,)

interpolation

Colormap interpolation mode, either ‘linear’ or ‘zero’. If ‘linear’, ncontrols = ncolors (one color per control point). If ‘zero’, ncontrols = ncolors+1 (one color per bin).

Type

str

Methods

construct([_fields_set])	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
copy(*[, include, exclude, update, deep])	Duplicate a model, optionally choose which fields to include, exclude and change.
dict(*[, include, exclude, by_alias, ...])	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
enums_as_values([as_values])	Temporarily override how enums are retrieved.
from_orm(obj)
json(*[, include, exclude, by_alias, ...])	Generate a JSON representation of the model, include and exclude arguments as per dict().
map(values)
parse_file(path, *[, content_type, ...])
parse_obj(obj)
parse_raw(b, *[, content_type, encoding, ...])
reset()	Reset the state of the model to default values.
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
update(values[, recurse])	Update a model in place.
update_forward_refs(**localns)	Try to update ForwardRefs on fields based on this Model, globalns and localns.
validate(value)

Attributes

colorbar
events

Details

classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model

Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values

copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model

Duplicate a model, optionally choose which fields to include, exclude and change.

Parameters

• include – fields to include in new model

• exclude – fields to exclude from new model, as with values this takes precedence over include

• update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data

• deep – set to True to make a deep copy of the model

Returns

new model instance

dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → DictStrAny

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

enums_as_values(as_values: bool = True)

Temporarily override how enums are retrieved.

Parameters

as_values (bool, optional) – Whether enums should be shown as values (or as enum objects), by default True

json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) → unicode

Generate a JSON representation of the model, include and exclude arguments as per dict().

encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().

reset()

Reset the state of the model to default values.

update(values: Union[napari.utils.events.evented_model.EventedModel, dict], recurse: bool = True) → None

Update a model in place.

Parameters

• values (dict, napari.utils.events.EventedModel) – Values to update the model with. If an EventedModel is passed it is first converted to a dictionary. The keys of this dictionary must be found as attributes on the current model.

• recurse (bool) – If True, recursively update fields that are EventedModels. Otherwise, just update the immediate fields of this EventedModel, which is useful when the declared field type (e.g. Union) can have different realized types with different fields.

classmethod update_forward_refs(**localns: Any) → None

Try to update ForwardRefs on fields based on this Model, globalns and localns.

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