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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_stata(self, fname, convert_dates=None, write_index=True, encoding="latin-1", byteorder=None, time_stamp=None, data_label=None, variable_labels=None, version=114, convert_strl=None):
 """ Export DataFrame object to Stata dta format. Writes the DataFrame to a Stata dataset file. "dta" files contain a Stata dataset. Parameters fname : str, buffer or path object String, path object (pathlib.Path or py._path.local.LocalPath) or object implementing a binary write() function. If using a buffer then the buffer will not be automatically closed after the file data has been written. convert_dates : dict Dictionary mapping columns containing datetime types to stata internal format to use when writing the dates. Options are 'tc', 'td', 'tm', 'tw', 'th', 'tq', 'ty'. Column can be either an integer or a name. Datetime columns that do not have a conversion type specified will be converted to 'tc'. Raises NotImplementedError if a datetime column has timezone information. write_index : bool Write the index to Stata dataset. encoding : str Default is latin-1. Unicode is not supported. byteorder : str Can be ">", "<", "little", or "big". default is `sys.byteorder`. time_stamp : datetime A datetime to use as file creation date. Default is the current time. data_label : str, optional A label for the data set. Must be 80 characters or smaller. variable_labels : dict Dictionary containing columns as keys and variable labels as values. Each label must be 80 characters or smaller. .. versionadded:: 0.19.0 version : {114, 117}, default 114 Version to use in the output dta file. Version 114 can be used read by Stata 10 and later. Version 117 can be read by Stata 13 or later. Version 114 limits string variables to 244 characters or fewer while 117 allows strings with lengths up to 2,000,000 characters. .. versionadded:: 0.23.0 convert_strl : list, optional List of column names to convert to string columns to Stata StrL format. Only available if version is 117. Storing strings in the StrL format can produce smaller dta files if strings have more than 8 characters and values are repeated. .. versionadded:: 0.23.0 Raises ------ NotImplementedError * If datetimes contain timezone information * Column dtype is not representable in Stata ValueError * Columns listed in convert_dates are neither datetime64[ns] or datetime.datetime * Column listed in convert_dates is not in DataFrame * Categorical label contains more than 32,000 characters .. versionadded:: 0.19.0 See Also -------- read_stata : Import Stata data files. io.stata.StataWriter : Low-level writer for Stata data files. io.stata.StataWriter117 : Low-level writer for version 117 files. Examples -------- """

        kwargs = {}
        if version not in (114, 117):
            raise ValueError('Only formats 114 and 117 supported.')
        if version == 114:
            if convert_strl is not None:
                raise ValueError('strl support is only available when using '
                                 'format 117')
            from pandas.io.stata import StataWriter as statawriter
        else:
            from pandas.io.stata import StataWriter117 as statawriter
            kwargs['convert_strl'] = convert_strl

        writer = statawriter(fname, self, convert_dates=convert_dates,
                             byteorder=byteorder, time_stamp=time_stamp,
                             data_label=data_label, write_index=write_index,
                             variable_labels=variable_labels, **kwargs)
        writer.write_file()