def dimension_values(self, dimension, expanded=True, flat=True):
        dimension = self.get_dimension(dimension, strict=True).name
        if dimension in self.kdims:
            return np.array([k[self.get_dimension_index(dimension)] for k in self.data.keys()])
        if dimension in self.dimensions(label=True):
            values = [el.dimension_values(dimension) for el in self
                      if dimension in el.dimensions()]
            vals = np.concatenate(values)
            return vals if expanded else util.unique_array(vals)
        else:
            return super(MultiDimensionalMapping, self).dimension_values(dimension, expanded, flat)
Realizes a TargetAddressable into a Target at `address`.
dataset/ETHPy150Open ioam/holoviews/holoviews/core/ndmapping.py/MultiDimensionalMapping.dimension_values--crossover with--dataset/ETHPy150Open pantsbuild/pants/src/python/pants/build_graph/mutable_build_graph.py/MutableBuildGraph._target_addressable_to_target