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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_mol2_from_list(self, mol2_lines, mol2_code, columns=None):
 r"""Reads Mol2 file from a list into DataFrames Attributes mol2_lines : list A list of lines containing the mol2 file contents. For example, ['@<TRIPOS>MOLECULE\n', 'ZINC38611810\n', ' 65 68 0 0 0\n', 'SMALL\n', 'NO_CHARGES\n', '\n', '@<TRIPOS>ATOM\n', ' 1 C1 -1.1786 2.7011 -4.0323 C.3 1 <0> -0.1537\n', ' 2 C2 -1.2950 1.2442 -3.5798 C.3 1 <0> -0.1156\n', mol2_code : str or None Name or ID of the molecule. columns : dict or None (default: None) If None, this methods expects a 9-column ATOM section that contains the following columns: {0:('atom_id', int), 1:('atom_name', str), 2:('x', float), 3:('y', float), 4:('z', float), 5:('atom_type', str), 6:('subst_id', int), 7:('subst_name', str), 8:('charge', float)} If your Mol2 files are formatted differently, you can provide your own column_mapping dictionary in a format similar to the one above. However, note that not all assert_raise_message methods may be supported then. Returns --------- self """

        self._load_mol2(mol2_lines, mol2_code, columns)
        return self