old_contents: # -*- coding: utf-8 -*-
  """
  This file imports the price details from the cost database as a class. This helps in preventing multiple importing
  of the corresponding values in individual files.
  """
  from __future__ import division
  
  import warnings
  
  import pandas as pd
  
  warnings.filterwarnings("ignore")
  
  __author__ = "Sreepathi Bhargava Krishna"
  __copyright__ = "Copyright 2017, Architecture and Building Systems - ETH Zurich"
  __credits__ = ["Sreepathi Bhargava Krishna"]
  __license__ = "MIT"
  __version__ = "0.1"
  __maintainer__ = "Daren Thomas"
  __email__ = "thomas@arch.ethz.ch"
  __status__ = "Production"
  
  
  class LcaCalculations(object):
      def __init__(self, locator):
          resources_lca = pd.read_excel(locator.get_database_supply_systems(), sheet_name="FEEDSTOCKS")
          resources_lca.set_index('code', inplace=True)
  
          # Natural gas
          self.NG_TO_CO2_EQ = resources_lca.loc['NATURALGAS']['CO2']
          self.NG_TO_OIL_EQ = resources_lca.loc['NATURALGAS']['PEN']
  
          # Drybiomass
          self.DRYBIOMASS_TO_CO2_EQ = resources_lca.loc['DRYBIOMASS']['CO2']
          self.DRYBIOMASS_TO_OIL_EQ = resources_lca.loc['DRYBIOMASS']['PEN']
  
          # WetBiomass
          self.WETBIOMASS_TO_CO2_EQ = resources_lca.loc['WETBIOMASS']['CO2']
          self.WETBIOMASS_TO_OIL_EQ = resources_lca.loc['WETBIOMASS']['PEN']
  
          # Electricity MJ/MJoil and kg/MJ
          self.EL_TO_CO2_EQ = resources_lca.loc['GRID']['CO2']
          self.EL_TO_OIL_EQ = resources_lca.loc['GRID']['CO2']
  
  
new_contents: # -*- coding: utf-8 -*-
  """
  This file imports the price details from the cost database as a class. This helps in preventing multiple importing
  of the corresponding values in individual files.
  """
  from __future__ import division
  
  import warnings
  
  import pandas as pd
  
  warnings.filterwarnings("ignore")
  
  __author__ = "Sreepathi Bhargava Krishna"
  __copyright__ = "Copyright 2017, Architecture and Building Systems - ETH Zurich"
  __credits__ = ["Sreepathi Bhargava Krishna"]
  __license__ = "MIT"
  __version__ = "0.1"
  __maintainer__ = "Daren Thomas"
  __email__ = "thomas@arch.ethz.ch"
  __status__ = "Production"
  
  
  class LcaCalculations(object):
      def __init__(self, locator):
          resources_lca = pd.read_excel(locator.get_database_supply_systems(), sheet_name="FEEDSTOCKS")
          resources_lca.set_index('code', inplace=True)
  
          # Natural gas
          self.NG_TO_CO2_EQ = resources_lca.loc['NATURALGAS']['CO2']
  
          # Drybiomass
          self.DRYBIOMASS_TO_CO2_EQ = resources_lca.loc['DRYBIOMASS']['CO2']
  
          # WetBiomass
          self.WETBIOMASS_TO_CO2_EQ = resources_lca.loc['WETBIOMASS']['CO2']
  
          # Electricity MJ/MJoil and kg/MJ
          self.EL_TO_CO2_EQ = resources_lca.loc['GRID']['CO2']
  
subject: Update lca_calculations.py