reverted input layers to 1 and tested test plot works with 1 input layer only

ruaridhg · ruaridhg · commit 387fb4cbe459 · 2023-06-01T14:18:23.000+01:00
diff --git a/src/napari_matplotlib/scatter.py b/src/napari_matplotlib/scatter.py
@@ -104,7 +104,7 @@ class FeaturesScatterWidget(ScatterBaseWidget):
     Widget to scatter data stored in two layer feature attributes.
     """
 
-    n_layers_input = Interval(2, 2)
+    n_layers_input = Interval(1, 1)
     # All layers that have a .features attributes
     input_layer_types = (
         napari.layers.Labels,
diff --git a/src/napari_matplotlib/tests/test_scatter.py b/src/napari_matplotlib/tests/test_scatter.py
@@ -69,9 +69,9 @@ def test_features_scatter_widget(make_napari_viewer, astronaut_data):
 
     # De-select existing selection
     viewer.layers.selection.clear()
-    viewer.layers.selection.add(
-        viewer.layers["points_data"]
-    )  # images need to be selected
+    # viewer.layers.selection.add(
+    #     viewer.layers["points_data"]
+    # )  # images need to be selected
     viewer.layers.selection.add(viewer.layers["label+features"])
 
     return deepcopy(fig)
