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# python_name: example_plugin._data:fractal
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from magicgui import magic_factory
from qtpy.QtWidgets import QWidget
if TYPE_CHECKING:
import napari.types
import napari.viewer
from npe2.types import LayerData, PathOrPaths, ReaderFunction
def write_points(path: str, layer_data: Any, attributes: Dict[str, Any]) -> List[str]:
with open(path, "w"):
... # save layer_data and attributes to file
# return path to any file(s) that were successfully written
return [path]
def get_reader(path: "PathOrPaths") -> Optional["ReaderFunction"]:
# If we recognize the format, we return the actual reader function
if isinstance(path, str) and path.endswith(".xyz"):
return xyz_file_reader
# otherwise we return None.
return None
def xyz_file_reader(path: "PathOrPaths") -> List["LayerData"]:
data = ... # somehow read data from path
layer_attributes = {"name": "etc..."}
return [(data, layer_attributes)]
class MyWidget(QWidget):
"""Any QtWidgets.QWidget or magicgui.widgets.Widget subclass can be used."""
def __init__(self, viewer: "napari.viewer.Viewer", parent=None):
super().__init__(parent)
...
@magic_factory
def widget_factory(
image: "napari.types.ImageData", threshold: int
) -> "napari.types.LabelsData":
"""Generate thresholded image.
This pattern uses magicgui.magic_factory directly to turn a function
into a callable that returns a widget.
"""
return (image > threshold).astype(int)
def threshold(
image: "napari.types.ImageData", threshold: int
) -> "napari.types.LabelsData":
"""Generate thresholded image.
This function will be turned into a widget using `autogenerate: true`.
"""
return (image > threshold).astype(int)
def create_fractal() -> List["LayerData"]:
"""An example of a Sample Data Function.
Note: Sample Data with URIs don't need python code.
"""
data = ... # do something cool to create a fractal
return [(data, {"name": "My cool fractal"})]
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