napari.qt#
Classes
A QLabel that provides instant tooltips on mouser hover. |
|
Qt view for the napari Viewer model. |
|
Button controls for the napari viewer. |
|
Application window that contains the menu bar and viewer. |
Functions
- napari.qt.create_worker(func: LambdaType | GeneratorType, *args, _start_thread: bool | None = None, _connect: dict[str, Callable | Sequence[Callable]] | None = None, _progress: bool | dict[str, int | bool | str] | None = None, _worker_class: type[GeneratorWorker] | type[FunctionWorker] | None = None, _ignore_errors: bool = False, **kwargs) FunctionWorker | GeneratorWorker [source]#
Convenience function to start a function in another thread.
By default, uses
Worker
, but a customWorkerBase
subclass may be provided. If so, it must be a subclass ofWorker
, which defines a standard set of signals and a run method.- Parameters:
func (Callable) – The function to call in another thread.
_start_thread (bool, optional) – Whether to immediaetly start the thread. If False, the returned worker must be manually started with
worker.start()
. by default it will beFalse
if the_connect
argument isNone
, otherwiseTrue
._connect (Dict[str, Union[Callable, Sequence]], optional) – A mapping of
"signal_name"
->callable
or list ofcallable
: callback functions to connect to the various signals offered by the worker class. by default None_progress (Union[bool, Dict[str, Union[int, bool, str]]], optional) – Can be True, to provide indeterminate progress bar, or dictionary. If dict, requires mapping of ‘total’ to number of expected yields. If total is not provided, progress bar will be indeterminate. Will connect progress bar update to yields and display this progress in the viewer. Can also take a mapping of ‘desc’ to the progress bar description. Progress bar will become indeterminate when number of yields exceeds ‘total’. By default None.
_worker_class (Type[WorkerBase], optional) – The :class`WorkerBase` to instantiate, by default
FunctionWorker
will be used iffunc
is a regular function, andGeneratorWorker
will be used if it is a generator._ignore_errors (bool, optional) – If
False
(the default), errors raised in the other thread will be reraised in the main thread (makes debugging significantly easier).*args – will be passed to
func
**kwargs – will be passed to
func
- Returns:
worker – An instantiated worker. If
_start_thread
wasFalse
, the worker will have a .start() method that can be used to start the thread.- Return type:
- Raises:
Examples
def long_function(duration): import time time.sleep(duration) worker = create_worker(long_function, 10)
- napari.qt.get_app(*args, **kwargs) QApplication [source]#
Get or create the Qt QApplication. Now deprecated, use get_qapp.
- napari.qt.get_current_stylesheet(extra: list[str] | None = None) str [source]#
Return the current stylesheet base on settings. This is wrapper around
get_stylesheet()
that takes the current theme base on settings.
- napari.qt.get_qapp(*, app_name: str | None = None, app_version: str | None = None, icon: str | None = None, org_name: str | None = None, org_domain: str | None = None, app_id: str | None = None, ipy_interactive: bool | None = None) QApplication [source]#
Get or create the Qt QApplication.
There is only one global QApplication instance, which can be retrieved by calling get_app again, (or by using QApplication.instance())
- Parameters:
app_name (str, optional) – Set app name (if creating for the first time), by default ‘napari’
app_version (str, optional) – Set app version (if creating for the first time), by default __version__
icon (str, optional) – Set app icon (if creating for the first time), by default NAPARI_ICON_PATH
org_name (str, optional) – Set organization name (if creating for the first time), by default ‘napari’
org_domain (str, optional) – Set organization domain (if creating for the first time), by default ‘napari.org’
app_id (str, optional) – Set organization domain (if creating for the first time). Will be passed to set_app_id (which may also be called independently), by default NAPARI_APP_ID
ipy_interactive (bool, optional) – Use the IPython Qt event loop (‘%gui qt’ magic) if running in an interactive IPython terminal.
- Returns:
[description]
- Return type:
QApplication
Notes
Substitutes QApplicationWithTracing when the NAPARI_PERFMON env variable is set.
- napari.qt.get_stylesheet(theme_id: str | None = None, extra: list[str] | None = None, extra_variables: dict[str, str] | None = None) str [source]#
Combine all qss files into single, possibly pre-themed, style string.
- Parameters:
theme_id (str, optional) – Theme to apply to the stylesheet. If no theme is provided, the returned stylesheet will still have
{{ template_variables }}
that need to be replaced using thenapari.utils.theme.template()
function prior to using the stylesheet.extra (list of str, optional) – Additional paths to QSS files to include in stylesheet, by default None
extra_variables (dict, optional) – Dictionary of variables values that replace default theme values. For example: { ‘font_size’: ‘14pt’}
- Returns:
css – The combined stylesheet.
- Return type:
- napari.qt.run(*, force=False, gui_exceptions=False, max_loop_level=1, _func_name='run')[source]#
Start the Qt Event Loop
- Parameters:
force (bool, optional) – Force the application event_loop to start, even if there are no top level widgets to show.
gui_exceptions (bool, optional) – Whether to show uncaught exceptions in the GUI. By default they will be shown in the console that launched the event loop.
max_loop_level (int, optional) – The maximum allowable “loop level” for the execution thread. Every time QApplication.exec_() is called, Qt enters the event loop, increments app.thread().loopLevel(), and waits until exit() is called. This function will prevent calling exec_() if the application already has at least
max_loop_level
event loops running. By default, 1._func_name (str, optional) – name of calling function, by default ‘run’. This is only here to provide functions like gui_qt a way to inject their name into the warning message.
- Raises:
RuntimeError – (To avoid confusion) if no widgets would be shown upon starting the event loop.
- napari.qt.thread_worker(function: Callable | None = None, start_thread: bool | None = None, connect: dict[str, Callable | Sequence[Callable]] | None = None, progress: bool | dict[str, int | bool | str] | None = None, worker_class: type[GeneratorWorker] | type[FunctionWorker] | None = None, ignore_errors: bool = False)[source]#
Decorator that runs a function in a separate thread when called.
When called, the decorated function returns a
WorkerBase
. Seecreate_worker()
for additional keyword arguments that can be used when calling the function.The returned worker will have these signals:
started: emitted when the work is started
finished: emitted when the work is finished
returned: emitted with return value
errored: emitted with error object on Exception
It will also have a
worker.start()
method that can be used to start execution of the function in another thread. (useful if you need to connect callbacks to signals prior to execution)If the decorated function is a generator, the returned worker will also provide these signals:
yielded: emitted with yielded values
paused: emitted when a running job has successfully paused
resumed: emitted when a paused job has successfully resumed
aborted: emitted when a running job is successfully aborted
And these methods:
quit: ask the thread to quit
toggle_paused: toggle the running state of the thread.
- send: send a value into the generator. (This requires that your
decorator function uses the
value = yield
syntax)
- Parameters:
function (callable) – Function to call in another thread. For communication between threads may be a generator function.
start_thread (bool, optional) – Whether to immediaetly start the thread. If False, the returned worker must be manually started with
worker.start()
. by default it will beFalse
if the_connect
argument isNone
, otherwiseTrue
.connect (Dict[str, Union[Callable, Sequence]], optional) – A mapping of
"signal_name"
->callable
or list ofcallable
: callback functions to connect to the various signals offered by the worker class. by default Noneprogress (Union[bool, Dict[str, Union[int, bool, str]]], optional) – Can be True, to provide indeterminate progress bar, or dictionary. If dict, requires mapping of ‘total’ to number of expected yields. If total is not provided, progress bar will be indeterminate. Will connect progress bar update to yields and display this progress in the viewer. Can also take a mapping of ‘desc’ to the progress bar description. Progress bar will become indeterminate when number of yields exceeds ‘total’. By default None. Must be used in conjunction with a generator function.
worker_class (Type[WorkerBase], optional) – The :class`WorkerBase` to instantiate, by default
FunctionWorker
will be used iffunc
is a regular function, andGeneratorWorker
will be used if it is a generator.ignore_errors (bool, optional) – If
False
(the default), errors raised in the other thread will be reraised in the main thread (makes debugging significantly easier).
- Returns:
function that creates a worker, puts it in a new thread and returns the worker instance.
- Return type:
callable
Examples
@thread_worker def long_function(start, end): # do work, periodically yielding i = start while i <= end: time.sleep(0.1) yield i # do teardown return 'anything' # call the function to start running in another thread. worker = long_function() # connect signals here if desired... or they may be added using the # `connect` argument in the `@thread_worker` decorator... in which # case the worker will start immediately when long_function() is called worker.start()