code: def dynamic_bar3d():
      w = tw.Watcher()
      s = w.create_stream()
  
      v = tw.Visualizer(s, vis_type="bar3d", clear_after_each=True)
      v.show()
  
      for i in range(100):
          s.write(
              [
                  (i, random.random() * 10, z)
                  for i in range(10)
                  for z in range(10)
              ]
          )
          tw.plt_loop(count=3)
  
imports: import tensorwatch
  import random, time
label_desc: Use image node_id 3 for calling a global function with example usage: dynamic_bar3d() without return types