ValueErrors raised when timeseries (history, label or observation) only consists of NaN

mlair/data_handler/data_handler_single_station.py

@@ -586,9 +586,16 @@ class DataHandlerSingleStation(AbstractDataHandler):
             non_nan_history = self.history.dropna(dim=dim)
             non_nan_label = self.label.dropna(dim=dim)
             non_nan_observation = self.observation.dropna(dim=dim)
+            if non_nan_label.shape[2] == 0:
+                raise ValueError(f'self.label consist of NaNs only - station {self.station} is therefore dropped')
+            if non_nan_history.shape[2] == 0:
+                raise ValueError(f'self.history consist of NaNs only - station {self.station} is therefore dropped')
+            if non_nan_observation.shape[2] == 0:
+                raise ValueError(f'self.observation consist of NaNs only - station {self.station} is therefore dropped')
             intersect = reduce(np.intersect1d, (non_nan_history.coords[dim].values, non_nan_label.coords[dim].values,
                                                 non_nan_observation.coords[dim].values))
 
+
         if len(intersect) < max(self.min_length, 1):
             self.history = None
             self.label = None