code: def load(fnames, tag=None, sat_id=None, **kwargs):
      
      
      return pysat.utils.load_netcdf4(fnames, **kwargs)
docs: Loads data using pysat.utils.load_netcdf4 .
  
      This routine is called as needed by pysat. It is not intended
      for direct user interaction.
      
      Parameters
      ----------
      fnames : array-like
          iterable of filename strings, full path, to data files to be loaded.
          This input is nominally provided by pysat itself.
      tag : string
          tag name used to identify particular data set to be loaded.
          This input is nominally provided by pysat itself.
      sat_id : string
          Satellite ID used to identify particular data set to be loaded.
          This input is nominally provided by pysat itself.
      **kwargs : extra keywords
          Passthrough for additional keyword arguments specified when 
          instantiating an Instrument object. These additional keywords
          are passed through to this routine by pysat.
      
      Returns
      -------
      data, metadata
          Data and Metadata are formatted for pysat. Data is a pandas 
          DataFrame while metadata is a pysat.Meta instance.
          
      Note
      ----
      Any additional keyword arguments passed to pysat.Instrument
      upon instantiation are passed along to this routine and through
      to the load_netcdf4 call.
      
      Examples
      --------
      ::
      
          inst = pysat.Instrument('sport', 'ivm')
          inst.load(2019,1)
      
          # create quick Instrument object for a new, random netCDF4 file
          # define filename template string to identify files
          # this is normally done by instrument code, but in this case
          # there is no built in pysat instrument support
          # presumes files are named default_2019-01-01.NC
          format_str = 'default_{year:04d}-{month:02d}-{day:02d}.NC'
          inst = pysat.Instrument('netcdf', 'pandas', 
                                  custom_kwarg='test'
                                  data_path='./',
                                  format_str=format_str)
          inst.load(2019,1)