code: def to_clipboard(self, excel=True, sep=None, **kwargs):
          r
          from pandas.io import clipboards
          clipboards.to_clipboard(self, excel=excel, sep=sep, **kwargs)
docs: r"""
          Copy object to the system clipboard.
  
          Write a text representation of object to the system clipboard.
          This can be pasted into Excel, for example.
  
          Parameters
          ----------
          excel : bool, default True
              - True, use the provided separator, writing in a csv format for
                allowing easy pasting into excel.
              - False, write a string representation of the object to the
                clipboard.
  
          sep : str, default ``'\t'``
              Field delimiter.
          **kwargs
              These parameters will be passed to DataFrame.to_csv.
  
          See Also
          --------
          DataFrame.to_csv : Write a DataFrame to a comma-separated values
              (csv) file.
          read_clipboard : Read text from clipboard and pass to read_table.
  
          Notes
          -----
          Requirements for your platform.
  
            - Linux : `xclip`, or `xsel` (with `gtk` or `PyQt4` modules)
            - Windows : none
            - OS X : none
  
          Examples
          --------
          Copy the contents of a DataFrame to the clipboard.
  
          >>> df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=['A', 'B', 'C'])
          >>> df.to_clipboard(sep=',')
          ... # Wrote the following to the system clipboard:
          ... # ,A,B,C
          ... # 0,1,2,3
          ... # 1,4,5,6
  
          We can omit the the index by passing the keyword `index` and setting
          it to false.
  
          >>> df.to_clipboard(sep=',', index=False)
          ... # Wrote the following to the system clipboard:
          ... # A,B,C
          ... # 1,2,3
          ... # 4,5,6