Fix left-over comments/returns.

tempo_embeddings/visualization/jscatter.py

@@ -14,8 +14,6 @@
 class JScatterVisualizer:
     """A class for creating interactive scatter plots with Jupyter widgets."""
 
-    # DEFAULT_DERIVED_FIELDS: set[str] = {"label", "top words", "collection"}
-    # """Fields that are not part of the corpus metadata, but should still be shown in the tooltip."""
     DEFAULT_CONTINUOUS_FIELDS: set[str] = {"year"}
 
     def __init__(
@@ -279,31 +277,30 @@ def _continuous_field_filter(
         Returns:
             widgets.VBox: A widget containing a RangeSlider widget and the output widget
         """
-        if field not in self._df.columns:
-            logging.warning(f"Categorical field '{field}' not found, ignoring")
-            return
-
-        min_value = self._df[field].min()
-        max_value = self._df[field].max()
-
-        selection = widgets.SelectionRangeSlider(
-            options=[str(i) for i in range(min_value, max_value + 1)],
-            index=(0, max_value - min_value),
-            description=field,
-            continuous_update=True,
-        )
+        if field in self._df.columns:
+            min_value = self._df[field].min()
+            max_value = self._df[field].max()
+
+            selection = widgets.SelectionRangeSlider(
+                options=[str(i) for i in range(min_value, max_value + 1)],
+                index=(0, max_value - min_value),
+                description=field,
+                continuous_update=True,
+            )
 
-        selection_output = widgets.Output()
+            selection_output = widgets.Output()
 
-        def handle_slider_change(change):
-            start = int(change.new[0])  # noqa: F841
-            end = int(change.new[1])  # noqa: F841
+            def handle_slider_change(change):
+                start = int(change.new[0])  # noqa: F841
+                end = int(change.new[1])  # noqa: F841
 
-            self._filter(field, self._df.query("year > @start & year < @end").index)
+                self._filter(field, self._df.query("year > @start & year < @end").index)
 
-        selection.observe(handle_slider_change, names="value")
+            selection.observe(handle_slider_change, names="value")
 
-        return selection, selection_output
+            return selection, selection_output
+        else:
+            logging.warning(f"Categorical field '{field}' not found, ignoring")
 
     def _filter(self, field, index):
         """Filter the scatter plot based on the given field and index.