Tim plot

Load.py

-# -*- coding: utf-8 -*-
-""" Toolbox for SCS.
-
-    Various utilities function to quickly process data measured at the SCS instruments.
-
-    Copyright (2019) SCS Team.
-"""
-
 import numpy as np
 from karabo_data import RunDirectory
 import xarray as xr
@@ -221,4 +213,6 @@ def load(fields, runNB, proposalNB, semesterNB, topic='SCS', display=False, vali
 
     aligned_vals = xr.align(*vals, join='inner')
     result = dict(zip(keys, aligned_vals))
-    return xr.Dataset(result)
+    result = xr.Dataset(result)
+    result.attrs['run'] = run
+    return result