def to_pickle(obj, path, compression='<STR_LIT>',<EOL>protocol=pickle.HIGHEST_PROTOCOL):
path = _stringify_path(path)<EOL>f, fh = _get_handle(path, '<STR_LIT:wb>',<EOL>compression=compression,<EOL>is_text=False)<EOL>if protocol < <NUM_LIT:0>:<EOL><INDENT>protocol = pickle.HIGHEST_PROTOCOL<EOL><DEDENT>try:<EOL><INDENT>f.write(pickle.dumps(obj, protocol=protocol))<EOL><DEDENT>finally:<EOL><INDENT>f.close()<EOL>for _f in fh:<EOL><INDENT>_f.close()<EOL><DEDENT><DEDENT>
Pickle (serialize) object to file.

Parameters
----------
obj : any object
    Any python object.
path : str
    File path where the pickled object will be stored.
compression : {'infer', 'gzip', 'bz2', 'zip', 'xz', None}, default 'infer'
    A string representing the compression to use in the output file. By
    default, infers from the file extension in specified path.

    .. versionadded:: 0.20.0
protocol : int
    Int which indicates which protocol should be used by the pickler,
    default HIGHEST_PROTOCOL (see [1], paragraph 12.1.2). The possible
    values for this parameter depend on the version of Python. For Python
    2.x, possible values are 0, 1, 2. For Python>=3.0, 3 is a valid value.
    For Python >= 3.4, 4 is a valid value. A negative value for the
    protocol parameter is equivalent to setting its value to
    HIGHEST_PROTOCOL.

    .. [1] https://docs.python.org/3/library/pickle.html
    .. versionadded:: 0.21.0

See Also
--------
read_pickle : Load pickled pandas object (or any object) from file.
DataFrame.to_hdf : Write DataFrame to an HDF5 file.
DataFrame.to_sql : Write DataFrame to a SQL database.
DataFrame.to_parquet : Write a DataFrame to the binary parquet format.

Examples
--------
>>> original_df = pd.DataFrame({"foo": range(5), "bar": range(5, 10)})
>>> original_df
   foo  bar
0    0    5
1    1    6
2    2    7
3    3    8
4    4    9
>>> pd.to_pickle(original_df, "./dummy.pkl")

>>> unpickled_df = pd.read_pickle("./dummy.pkl")
>>> unpickled_df
   foo  bar
0    0    5
1    1    6
2    2    7
3    3    8
4    4    9

>>> import os
>>> os.remove("./dummy.pkl")