How to use the impedance.visualization.plot_nyquist function in impedance

if kind == 'nyquist':
            if ax is None:
                fig, ax = plt.subplots(figsize=(5, 5))

            if Z_data is not None:
                ax = plot_nyquist(ax, Z_data, ls='', marker='s', **kwargs)

            if self._is_fit():
                if f_data is not None:
                    f_pred = f_data
                else:
                    f_pred = np.logspace(5, -3)

                Z_fit = self.predict(f_pred)
                ax = plot_nyquist(ax, Z_fit, ls='-', marker='', **kwargs)
            return ax
        elif kind == 'bode':
            if ax is None:
                fig, ax = plt.subplots(nrows=2, figsize=(5, 5))

            if Z_data is not None:
                ax = plot_bode(ax, f_data, Z_data, ls='', marker='s', **kwargs)

            if self._is_fit():
                if f_data is not None:
                    f_pred = f_data
                else:
                    f_pred = np.logspace(5, -3)

                Z_fit = self.predict(f_pred)
                ax = plot_bode(ax, f_pred, Z_fit, ls='-', marker='', **kwargs)

`matplotlib.pyplot.Line2D` properties like linewidth,
             line color, marker color, and labels.
            If kind is 'altair', used to specify nyquist height as `size`

        Returns
        -------
        ax: matplotlib.axes
            axes of the created nyquist plot
        """

        if kind == 'nyquist':
            if ax is None:
                fig, ax = plt.subplots(figsize=(5, 5))

            if Z_data is not None:
                ax = plot_nyquist(ax, Z_data, ls='', marker='s', **kwargs)

            if self._is_fit():
                if f_data is not None:
                    f_pred = f_data
                else:
                    f_pred = np.logspace(5, -3)

                Z_fit = self.predict(f_pred)
                ax = plot_nyquist(ax, Z_fit, ls='-', marker='', **kwargs)
            return ax
        elif kind == 'bode':
            if ax is None:
                fig, ax = plt.subplots(nrows=2, figsize=(5, 5))

            if Z_data is not None:
                ax = plot_bode(ax, f_data, Z_data, ls='', marker='s', **kwargs)