|
| 1 | +""" |
| 2 | +Hisogram of features |
| 3 | +==================== |
| 4 | +""" |
| 5 | + |
| 6 | +import napari |
| 7 | +import numpy as np |
| 8 | +import numpy.typing as npt |
| 9 | +from skimage.measure import regionprops_table |
| 10 | + |
| 11 | +# make a test label image |
| 12 | +label_image: npt.NDArray[np.uint16] = np.zeros((100, 100), dtype=np.uint16) |
| 13 | + |
| 14 | +label_image[10:20, 10:20] = 1 |
| 15 | +label_image[50:70, 50:70] = 2 |
| 16 | + |
| 17 | +feature_table_1 = regionprops_table( |
| 18 | + label_image, properties=("label", "area", "perimeter") |
| 19 | +) |
| 20 | +feature_table_1["index"] = feature_table_1["label"] |
| 21 | + |
| 22 | +# make the points data |
| 23 | +n_points = 100 |
| 24 | +points_data = 100 * np.random.random((100, 2)) |
| 25 | +points_features = { |
| 26 | + "feature_0": np.random.random((n_points,)), |
| 27 | + "feature_1": np.random.random((n_points,)), |
| 28 | + "feature_2": np.random.random((n_points,)), |
| 29 | +} |
| 30 | + |
| 31 | +# create the viewer |
| 32 | +viewer = napari.Viewer() |
| 33 | +viewer.add_labels(label_image, features=feature_table_1) |
| 34 | +viewer.add_points(points_data, features=points_features) |
| 35 | + |
| 36 | +# make the widget |
| 37 | +viewer.window.add_plugin_dock_widget( |
| 38 | + plugin_name="napari-matplotlib", widget_name="FeaturesHistogram" |
| 39 | +) |
| 40 | + |
| 41 | +if __name__ == "__main__": |
| 42 | + napari.run() |
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