def _add_labels(self, axes, dtype):
for ax in axes[<NUM_LIT:1>, :].flat:<EOL><INDENT>ax.set_xlabel('<STR_LIT>')<EOL><DEDENT>if dtype == '<STR_LIT>':<EOL><INDENT>axes[<NUM_LIT:0>, <NUM_LIT:0>].set_ylabel(r'<STR_LIT>')<EOL>axes[<NUM_LIT:0>, <NUM_LIT:1>].set_ylabel(r'<STR_LIT>')<EOL>axes[<NUM_LIT:1>, <NUM_LIT:0>].set_ylabel(r"<STR_LIT>")<EOL>axes[<NUM_LIT:1>, <NUM_LIT:1>].set_ylabel(r"<STR_LIT>")<EOL><DEDENT>elif dtype == '<STR_LIT:R>':<EOL><INDENT>axes[<NUM_LIT:0>, <NUM_LIT:0>].set_ylabel(r'<STR_LIT>')<EOL>axes[<NUM_LIT:0>, <NUM_LIT:1>].set_ylabel(r'<STR_LIT>')<EOL>axes[<NUM_LIT:1>, <NUM_LIT:0>].set_ylabel(r"<STR_LIT>")<EOL>axes[<NUM_LIT:1>, <NUM_LIT:1>].set_ylabel(r"<STR_LIT>")<EOL><DEDENT>else:<EOL><INDENT>raise Exception('<STR_LIT>'.format(dtype))<EOL><DEDENT>
Given a 2x2 array of axes, add x and y labels

        Parameters
        ----------
        axes: numpy.ndarray, 2x2
            A numpy array containing the four principal axes of an SIP plot
        dtype: string
            Can be either 'rho' or 'R', indicating the type of data that is
            plotted: 'rho' stands for resistivities/conductivities, 'R' stands
            for impedances/condactances

        Returns
        -------
        None