✨ Added missing_parameter_value_labels property to ParameterGroup

glotaran/parameter/parameter_group.py

@@ -585,6 +585,21 @@ def update_parameter_expression(self):
                     )
                 parameter.value = value
 
+    @property
+    def missing_parameter_value_labels(self) -> list[str]:
+        """List of full labels where the value is a NaN.
+
+        This property is used to validate that all parameters have starting values.
+
+        Returns
+        -------
+        str
+            List full labels with missing value.
+        """
+        parameter_df = self.to_dataframe(as_optimized=False)
+        parameter_nan_value_mask = parameter_df["value"].isna()
+        return parameter_df[parameter_nan_value_mask]["label"].to_list()
+
     def markdown(self, float_format: str = ".3e") -> MarkdownStr:
         """Format the :class:`ParameterGroup` as markdown string.
 

glotaran/parameter/test/test_parameter_group.py

@@ -342,3 +342,27 @@ def test_parameter_group_to_from_df():
         assert got.non_negative == wanted.non_negative
         assert got.value == wanted.value
         assert got.vary == wanted.vary
+
+
+def test_missing_parameter_value_labels():
+    """Full labels of all parameters with missing values (NaN) get listed."""
+    parameter_group = load_parameters(
+        dedent(
+            """\
+            b:
+                - ["missing_value_1",]
+                - ["missing_value_2"]
+                - ["2", 0.75]
+            kinetic:
+                j:
+                    - ["missing_value_3"]
+            """
+        ),
+        format_name="yml_str",
+    )
+
+    assert parameter_group.missing_parameter_value_labels == [
+        "b.missing_value_1",
+        "b.missing_value_2",
+        "kinetic.j.missing_value_3",
+    ]