How to use the sunpy.visualization.wcsaxes_compat function in sunpy

image_axes = ['x', 'y']
    if axes is None:
        if cube.wcs.naxis is not 2:
            missing_axis = cube.missing_axis
            slice_list = []
            axis_index = []
            index = 0
            for i, bool_ in enumerate(missing_axis):
                if not bool_:
                    slice_list.append(image_axes[index])
                    index += 1
                else:
                    slice_list.append(1)
            if index is not 2:
                raise ValueError("Dimensions of WCS and data don't match")
        axes = wcsaxes_compat.gca_wcs(cube.wcs, slices=slice_list)
    plot = axes.imshow(cube.data, **kwargs)
    return plot

Parameters
        ----------
        offset: `int` or `float`
            The offset from the primary wavelength to plot. If it's an int it
            will plot the nth wavelength from the primary; if it's a float then
            it will plot the closest wavelength. If the offset is out of range,
            it will plot the primary wavelength (offset 0)

        axes: `astropy.visualization.wcsaxes.core.WCSAxes` or `None`:
            The axes to plot onto. If None the current axes will be used.

        style: 'imshow' or 'pcolormesh'
            The style of plot to be used. Default is 'imshow'
        """
        if axes is None:
            axes = wcsaxes_compat.gca_wcs(self.axes_wcs, slices=("x", "y", offset))

        data = self._choose_wavelength_slice(offset)
        if data is None:
            data = self._choose_wavelength_slice(0)

        if style == 'imshow':
            plot = axes.imshow(data, **kwargs)
        elif style == 'pcolormesh':
            plot = axes.pcolormesh(data, **kwargs)

        return plot

Parameters
        ----------
        offset: `int` or `float`
            The offset from the initial x value to plot. If it's an int it
            will plot slice n from the start; if it's a float then
            it will plot the closest x-distance. If the offset is out of range,
            it will plot the primary wavelength (offset 0)

        axes: `astropy.visualization.wcsaxes.core.WCSAxes` or None:
            The axes to plot onto. If None the current axes will be used.

        style: 'imshow' or 'pcolormesh'
            The style of plot to be used. Default is 'imshow'
        """
        if axes is None:
            axes = wcsaxes_compat.gca_wcs(self.axes_wcs, slices=("x", offset, "y"))

        data = self._choose_x_slice(offset)
        if data is None:
            data = self._choose_x_slice(0)

        if style == 'imshow':
            plot = axes.imshow(data, **kwargs)
        elif style == 'pcolormesh':
            plot = axes.pcolormesh(data, **kwargs)

        return plot