Added method to return x-axis from high resolution data.

pes_to_spec/model.py

@@ -66,7 +66,7 @@ class HighResolutionSmoother(TransformerMixin, BaseEstimator):
 
         Returns: The object itself.
         """
-        self.energy = fit_params["energy"]
+        self.energy = np.copy(fit_params["energy"])
         if len(self.energy.shape) == 2:
             self.energy = self.energy[0,:]
         return self
@@ -536,6 +536,10 @@ class Model(TransformerMixin, BaseEstimator):
         """Get channels used in training."""
         return self.x_model.named_steps["select"].channels
 
+    def get_energy_values(self) -> np.ndarray:
+        """Get x-axis of high-resolution data."""
+        return self.y_model.named_steps["smoothen"].energy
+
     def debug_peak_finding(self, low_res_data: Dict[str, np.ndarray], filename: str):
         """
         Produce image to understand if the peak finding step worked well.