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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 read_xyz(cls, buf, start_index=0, get_bonds=True, nrows=None, engine=None):
 """Read a file of coordinate information. Reads xyz-files. Args: inputfile (str):
 start_index (int):
 get_bonds (bool):
 nrows (int):
 Number of rows of file to read. Note that the first two rows are implicitly excluded. engine (str):
 Wrapper for argument of :func:`pandas.read_csv`. Returns: Cartesian: """

        frame = pd.read_table(buf, skiprows=2, comment='#',
                              nrows=nrows,
                              delim_whitespace=True,
                              names=['atom', 'x', 'y', 'z'], engine=engine)

        remove_digits = partial(re.sub, r'[0-9]+', '')
        frame['atom'] = frame['atom'].apply(remove_digits)

        molecule = cls(frame)
        molecule.index = range(start_index, start_index + len(molecule))

        if get_bonds:
            molecule.get_bonds(use_lookup=False, set_lookup=True)
        return molecule