Add TimeSeries.has_nan property to check for NaN values

darts/tests/test_timeseries.py

@@ -1904,6 +1904,21 @@ def test_index_creation(self):
         ts8 = TimeSeries.from_values(values1)
         assert ts8.has_range_index
 
+    def test_has_nan(self):
+        ts_nan = TimeSeries.from_values([1.0, np.nan, 3.0])
+        assert ts_nan.has_nan
+
+        ts_clean = TimeSeries.from_values([1.0, 2.0, 3.0])
+        assert not ts_clean.has_nan
+
+        ts_int = TimeSeries.from_values([1, 2, 3])
+        assert not ts_int.has_nan
+
+        ts_multivariate = TimeSeries.from_values(
+            np.array([[1.0, 2.0], [np.nan, 4.0]])
+        )
+        assert ts_multivariate.has_nan
+
     def test_short_series_slice(self):
         seriesA, seriesB = self.series1.split_after(pd.Timestamp("20130108"))
         assert len(seriesA) == 8

darts/timeseries.py

@@ -1706,6 +1706,11 @@ def has_metadata(self) -> bool:
         """Whether the series contains metadata."""
         return self.metadata is not None
 
+    @property
+    def has_nan(self) -> bool:
+        """Whether the series contains any NaN values."""
+        return np.isnan(self._values).any()
+
     @property
     def duration(self) -> pd.Timedelta | int:
         """The duration of the series (as a ``pandas.Timedelta`` or `int`)."""