store column name after aggregate

service/utils/tds.py

@@ -215,6 +215,7 @@ def get_result_summary(data_result):
  )
  df2 = df2.drop(columns=["sample_id", "timepoint_unknown"])
  df2.columns = ["_".join(i) for i in df2.columns]
+ df2 = df2.rename(columns={"timepoint_id_": "timepoint_id"})
  return df2
  # If the format of the data_result does not match expected column names ect just throw error
  except: