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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def to_hdf(self, path_or_buf, key, **kwargs):
 """ Write the contained data to an HDF5 file using HDFStore. Hierarchical Data Format (HDF) is self-describing, allowing an application to interpret the structure and contents of a file with no outside information. One HDF file can hold a mix of related objects which can be accessed as a group or as individual objects. In order to add another DataFrame or Series to an existing HDF file please use append mode and a different a key. For more information see the :ref:`user guide <io.hdf5>`. Parameters path_or_buf : str or pandas.HDFStore File path or HDFStore object. key : str Identifier for the group in the store. mode : {'a', 'w', 'r+'}, default 'a' Mode to open file: - 'w': write, a new file is created (an existing file with the same name would be deleted). - 'a': append, an existing file is opened for reading and writing, and if the file does not exist it is created. - 'r+': similar to 'a', but the file must already exist. format : {'fixed', 'table'}, default 'fixed' Possible values: - 'fixed': Fixed format. Fast writing/reading. Not-appendable, nor searchable. - 'table': Table format. Write as a PyTables Table structure which may perform worse but allow more flexible operations like searching / selecting subsets of the data. append : bool, default False For Table formats, append the input data to the existing. data_columns : list of columns or True, optional List of columns to create as indexed data columns for on-disk queries, or True to use all columns. By default only the axes of the object are indexed. See :ref:`io.hdf5-query-data-columns`. Applicable only to format='table'. complevel : {0-9}, optional Specifies a compression level for data. A value of 0 disables compression. complib : {'zlib', 'lzo', 'bzip2', 'blosc'}, default 'zlib' Specifies the compression library to be used. As of v0.20.2 these additional compressors for Blosc are supported (default if no compressor specified: 'blosc:blosclz'):
 {'blosc:blosclz', 'blosc:lz4', 'blosc:lz4hc', 'blosc:snappy', 'blosc:zlib', 'blosc:zstd'}. Specifying a compression library which is not available issues a ValueError. fletcher32 : bool, default False If applying compression use the fletcher32 checksum. dropna : bool, default False If true, ALL nan rows will not be written to store. errors : str, default 'strict' Specifies how encoding and decoding errors are to be handled. See the errors argument for :func:`open` for a full list of options. See Also -------- DataFrame.read_hdf : Read from HDF file. DataFrame.to_parquet : Write a DataFrame to the binary parquet format. DataFrame.to_sql : Write to a sql table. DataFrame.to_feather : Write out feather-format for DataFrames. DataFrame.to_csv : Write out to a csv file. Examples -------- We can add another object to the same file: Reading from HDF file: A B a 1 4 b 2 5 c 3 6 0 1 1 2 2 3 3 4 dtype: int64 Deleting file with data: """

        from pandas.io import pytables
        return pytables.to_hdf(path_or_buf, key, self, **kwargs)