code: def read_midc(filename, variable_map=VARIABLE_MAP, raw_data=False):
      
      data = pd.read_csv(filename)
      if raw_data:
          data = format_index_raw(data)
      else:
          data = format_index(data)
      mapper = partial(map_midc_to_pvlib, variable_map)
      data = data.rename(columns=mapper)
      return data
docs: Read in National Renewable Energy Laboratory Measurement and
      Instrumentation Data Center [1]_ weather data.
  
      Parameters
      ----------
      filename: string
          Filename or url of data to read.
      variable_map: dictionary
          Dictionary for mapping MIDC field names to pvlib names. See variable
          `VARIABLE_MAP` for default and Notes section below for a description of
          its format.
      raw_data: boolean
          Set to true to use format_index_raw to correctly format the date/time
          columns of MIDC raw data files.
  
      Returns
      -------
      data: Dataframe
          A dataframe with DatetimeIndex localized to the provided timezone.
  
      Notes
      -----
      Keys of the `variable_map` dictionary should include the first part
      of a MIDC field name which indicates the variable being measured.
  
          e.g. 'Global PSP [W/m^2]' is entered as a key of 'Global'
  
      The 'PSP' indicating instrument is appended to the pvlib variable name
      after mapping to differentiate measurements of the same variable. For a
      full list of pvlib variable names see the `Variable Style Rules
      <https://pvlib-python.readthedocs.io/en/latest/variables_style_rules.html>`_.
  
      Be sure to check the units for the variables you will use on the
      `MIDC site <https://midcdmz.nrel.gov/>`_.
  
      References
      ----------
      .. [1] NREL: Measurement and Instrumentation Data Center
          `https://midcdmz.nrel.gov/ <https://midcdmz.nrel.gov/>`_