def plot_total(self, colorbar=True, cb_orientation='vertical',
                   cb_label='$|B|$, nT', ax=None, show=True, fname=None,
                   **kwargs):
        """
        Plot the total magnetic intensity.

        Usage
        -----
        x.plot_total([tick_interval, xlabel, ylabel, ax, colorbar,
                      cb_orientation, cb_label, show, fname, **kwargs])

        Parameters
        ----------
        tick_interval : list or tuple, optional, default = [30, 30]
            Intervals to use when plotting the x and y ticks. If set to None,
            ticks will not be plotted.
        xlabel : str, optional, default = 'longitude'
            Label for the longitude axis.
        ylabel : str, optional, default = 'latitude'
            Label for the latitude axis.
        ax : matplotlib axes object, optional, default = None
            A single matplotlib axes object where the plot will appear.
        colorbar : bool, optional, default = True
            If True, plot a colorbar.
        cb_orientation : str, optional, default = 'vertical'
            Orientation of the colorbar: either 'vertical' or 'horizontal'.
        cb_label : str, optional, default = '$|B|$, nT'
            Text label for the colorbar.
        show : bool, optional, default = True
            If True, plot the image to the screen.
        fname : str, optional, default = None
            If present, and if axes is not specified, save the image to the
            specified file.
        kwargs : optional
            Keyword arguements that will be sent to the SHGrid.plot()
            and plt.imshow() methods.
        """
        if ax is None:
            fig, axes = self.total.plot(
                colorbar=colorbar, cb_orientation=cb_orientation,
                cb_label=cb_label, show=False, **kwargs)

            if show:
                fig.show()

            if fname is not None:
                fig.savefig(fname)
            return fig, axes

        else:
            self.total.plot(
                colorbar=colorbar, cb_orientation=cb_orientation,
                cb_label=cb_label, ax=ax, **kwargs)
def plot_total ( self , colorbar = True , cb_orientation = 'vertical' , cb_label = '$|B|$, nT' , ax = None , show = True , fname = None , ** kwargs ) : if ax is None : fig , axes = self . total . plot ( colorbar = colorbar , cb_orientation = cb_orientation , cb_label = cb_label , show = False , ** kwargs ) if show : fig . show ( ) if fname is not None : fig . savefig ( fname ) return fig , axes else : self . total . plot ( colorbar = colorbar , cb_orientation = cb_orientation , cb_label = cb_label , ax = ax , ** kwargs )
Plot the total magnetic intensity.

        Usage
        -----
        x.plot_total([tick_interval, xlabel, ylabel, ax, colorbar,
                      cb_orientation, cb_label, show, fname, **kwargs])

        Parameters
        ----------
        tick_interval : list or tuple, optional, default = [30, 30]
            Intervals to use when plotting the x and y ticks. If set to None,
            ticks will not be plotted.
        xlabel : str, optional, default = 'longitude'
            Label for the longitude axis.
        ylabel : str, optional, default = 'latitude'
            Label for the latitude axis.
        ax : matplotlib axes object, optional, default = None
            A single matplotlib axes object where the plot will appear.
        colorbar : bool, optional, default = True
            If True, plot a colorbar.
        cb_orientation : str, optional, default = 'vertical'
            Orientation of the colorbar: either 'vertical' or 'horizontal'.
        cb_label : str, optional, default = '$|B|$, nT'
            Text label for the colorbar.
        show : bool, optional, default = True
            If True, plot the image to the screen.
        fname : str, optional, default = None
            If present, and if axes is not specified, save the image to the
            specified file.
        kwargs : optional
            Keyword arguements that will be sent to the SHGrid.plot()
            and plt.imshow() methods.