class_docstr: !
  @brief Basic output dynamic visualizer.
  @details The aim of the visualizer is to displayed output dynamic of any process, for example, output dynamic of
            oscillatory network.
code: def __update_canvas_xlim(self, t, separate):
      for index in separate:
          self.__update_single_canvas_xlim(index, t)
  
imports: import matplotlib.pyplot
  from pyclustering.utils import set_ax_param
label_desc: Use image node_id 11 for calling the dynamic_visualizer obj's underlying member method code with example usage: obj.__update_canvas_xlim(t, separate) without return types