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