Add a features histogram example

examples/features_hist.py

@@ -0,0 +1,42 @@
+"""
+Hisogram of features
+====================
+"""
+
+import napari
+import numpy as np
+import numpy.typing as npt
+from skimage.measure import regionprops_table
+
+# make a test label image
+label_image: npt.NDArray[np.uint16] = np.zeros((100, 100), dtype=np.uint16)
+
+label_image[10:20, 10:20] = 1
+label_image[50:70, 50:70] = 2
+
+feature_table_1 = regionprops_table(
+    label_image, properties=("label", "area", "perimeter")
+)
+feature_table_1["index"] = feature_table_1["label"]
+
+# make the points data
+n_points = 100
+points_data = 100 * np.random.random((100, 2))
+points_features = {
+    "feature_0": np.random.random((n_points,)),
+    "feature_1": np.random.random((n_points,)),
+    "feature_2": np.random.random((n_points,)),
+}
+
+# create the viewer
+viewer = napari.Viewer()
+viewer.add_labels(label_image, features=feature_table_1)
+viewer.add_points(points_data, features=points_features)
+
+# make the widget
+viewer.window.add_plugin_dock_widget(
+    plugin_name="napari-matplotlib", widget_name="FeaturesHistogram"
+)
+
+if __name__ == "__main__":
+    napari.run()