code: def read_excel(
      filename,
      dataset_class=dataset.pandas_dataset.PandasDataset,
      expectations_config=None,
      autoinspect_func=None,
      *args, **kwargs
  ):
      
      df = pd.read_excel(filename, *args, **kwargs)
      if isinstance(df, dict):
          for key in df:
              df[key] = _convert_to_dataset_class(
                  df[key], dataset_class, expectations_config, autoinspect_func)
      else:
          df = _convert_to_dataset_class(
              df, dataset_class, expectations_config, autoinspect_func)
      return df
docs: Read a file using Pandas read_excel and return a great_expectations dataset.
  
      Args:
          filename (string): path to file to read
          dataset_class (Dataset class): class to which to convert resulting Pandas df
          expectations_config (string): path to great_expectations config file
  
      Returns:
          great_expectations dataset or ordered dict of great_expectations datasets,
          if multiple worksheets are imported