magicgui parameter sweep

Example showing how to accomplish a napari parameter sweep with magicgui.

It demonstrates: 1. overriding the default widget type with a custom class 2. the auto_call option, which calls the function whenever a parameter changes

import skimage.data
import skimage.filters
import napari
from typing_extensions import Annotated

# Define our gaussian_blur function.
# Note that we can use forward references for the napari type annotations.
# You can read more about them here:
# https://peps.python.org/pep-0484/#forward-references
# In this example, because we have already imported napari anyway, it doesn't
# really matter. But this syntax would let you specify that a parameter is a
# napari object type without actually importing or depending on napari.
# We also use the `Annotated` type to pass an additional dictionary that can be used
# to aid widget generation. The keys of the dictionary are keyword arguments to
# the corresponding magicgui widget type. For more informaiton see
# https://napari.org/magicgui/api/widgets.html.
def gaussian_blur(
    layer: 'napari.layers.Image',
    sigma: Annotated[float, {"widget_type": "FloatSlider", "max": 6}] = 1.0,
    mode: Annotated[str, {"choices": ["reflect", "constant", "nearest", "mirror", "wrap"]}]="nearest",
) -> 'napari.types.ImageData':
    """Apply a gaussian blur to ``layer``."""
    if layer:
        return skimage.filters.gaussian(layer.data, sigma=sigma, mode=mode)


# create a viewer and add some images
viewer = napari.Viewer()
viewer.add_image(skimage.data.astronaut().mean(-1), name="astronaut")
viewer.add_image(skimage.data.grass().astype("float"), name="grass")

# Add our magic function to napari
viewer.window.add_function_widget(gaussian_blur)

if __name__ == '__main__':
    napari.run()

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