Bugfix: add_labels_from_dataframe

spatialproteomics/la/label.py

@@ -827,6 +827,7 @@ def add_labels_from_dataframe(
         assert (
             Layers.NEIGHBORHOODS not in self._obj
         ), f"Already found neighborhoods in the object. Since these are dependent on the labels, please remove them with pp.drop_layers('{Layers.NEIGHBORHOODS}') before adding new labels."
+        assert self._obj.coords[Dims.CELLS].shape[0] != 0, "No cells found in the object. Cannot add labels."
 
         if df is None:
             cells = self._obj.coords[Dims.CELLS].values
@@ -835,6 +836,11 @@ def add_labels_from_dataframe(
             unique_labels = np.unique(formated_labels)
         else:
             sub = df.loc[:, [cell_col, label_col]].dropna()
+            # removing cells that are not in the object
+            sub = sub[sub[cell_col].isin(self._obj.coords[Dims.CELLS].values)]
+            assert (
+                sub.shape[0] != 0
+            ), f"Could not find any overlap between the cells in the data frame's {cell_col} column and the cells in the object. Please make sure the cells for which you want to add labels are present in the object."
             cells = sub.loc[:, cell_col].to_numpy().squeeze()
             labels = sub.loc[:, label_col].to_numpy().squeeze()
 
@@ -868,13 +874,6 @@ def add_labels_from_dataframe(
             name=Layers.OBS,
         )
 
-        da = da.where(
-            da.coords[Dims.CELLS].isin(
-                self._obj.coords[Dims.CELLS],
-            ),
-            drop=True,
-        )
-
         obj = self._obj.copy()
         obj = xr.merge([obj.sel(cells=da.cells), da])
 

tests/la/test_add_labels.py

@@ -45,6 +45,24 @@ def test_add_labels_from_dataframe_unassigned_cells(dataset):
     assert 1 in labeled[Layers.OBS].sel(features=Features.LABELS).values
 
 
+def test_add_labels_from_dataframe_invalid_cells(dataset):
+    # creating a dummy data frame
+    cells = dataset.coords[Dims.CELLS].values
+    num_cells = len(cells)
+    df = pd.DataFrame(
+        {
+            "cell": [num_cells + 5],
+            "label": ["CT1"],
+        }
+    )
+
+    with pytest.raises(
+        AssertionError,
+        match="Could not find any overlap between the cells in the data frame",
+    ):
+        dataset.la.add_labels_from_dataframe(df)
+
+
 def test_add_labels(dataset):
     # creating a dummy dict
     cells = dataset.coords[Dims.CELLS].values