How to use the hvplot.plotting.core.hvPlotBase function in hvplot

Custom getattribute to expose user defined subplots.
        """
        plots = object.__getattribute__(self, '_plots')
        if name in plots:
            plot_opts = plots[name]
            if 'kind' in plot_opts and name in HoloViewsConverter._kind_mapping:
                param.main.warning("Custom options for existing plot types should not "
                                   "declare the 'kind' argument. The .%s plot method "
                                   "was unexpectedly customized with kind=%r."
                                   % (plot_opts['kind'], name))
                plot_opts['kind'] = name
            return hvPlotBase(self._data, **dict(self._metadata, **plot_opts))
        return super(hvPlotBase, self).__getattribute__(name)


class hvPlotTabular(hvPlotBase):
    __all__ = [
        'line',
        'step',
        'scatter',
        'area',
        'errorbars',
        'heatmap',
        'hexbin',
        'bivariate',
        'bar',
        'barh',
        'box',
        'violin',
        'hist',
        'kde',
        'density',

def __dir__(self):
        """
        List default attributes and custom defined plots.
        """
        dirs = super(hvPlotBase, self).__dir__()
        return sorted(list(dirs)+list(self._plots))

def __getattribute__(self, name):
        """
        Custom getattribute to expose user defined subplots.
        """
        plots = object.__getattribute__(self, '_plots')
        if name in plots:
            plot_opts = plots[name]
            if 'kind' in plot_opts and name in HoloViewsConverter._kind_mapping:
                param.main.warning("Custom options for existing plot types should not "
                                   "declare the 'kind' argument. The .%s plot method "
                                   "was unexpectedly customized with kind=%r."
                                   % (plot_opts['kind'], name))
                plot_opts['kind'] = name
            return hvPlotBase(self._data, **dict(self._metadata, **plot_opts))
        return super(hvPlotBase, self).__getattribute__(name)