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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_html(self, buf=None, columns=None, col_space=None, header=True, index=True, na_rep='NaN', formatters=None, float_format=None, sparsify=None, index_names=True, justify=None, bold_rows=True, classes=None, escape=True, max_rows=None, max_cols=None, show_dimensions=False, notebook=False):
 """ Render a DataFrame as an HTML table. `to_html`-specific options: bold_rows : boolean, default True Make the row labels bold in the output classes : str or list or tuple, default None CSS class(es) to apply to the resulting html table escape : boolean, default True Convert the characters <, >, and & to HTML-safe sequences.= max_rows : int, optional Maximum number of rows to show before truncating. If None, show all. max_cols : int, optional Maximum number of columns to show before truncating. If None, show all. """


        formatter = fmt.ResultFrameFormatter(self, buf=buf, columns=columns,
                                             col_space=col_space, na_rep=na_rep,
                                             formatters=formatters,
                                             float_format=float_format,
                                             sparsify=sparsify,
                                             justify=justify,
                                             index_names=index_names,
                                             header=header, index=index,
                                             bold_rows=bold_rows,
                                             escape=escape,
                                             max_rows=max_rows,
                                             max_cols=max_cols,
                                             show_dimensions=show_dimensions)
        formatter.to_html(classes=classes, notebook=notebook)

        if buf is None:
            return formatter.buf.getvalue()