old_contents: import climate
  import lmj.plot
  
  import source
  
  
  def main(subject):
      subj = source.Subject(subject)
      trial = subj.blocks[0].trials[0]
      trial.load()
  
      ax = lmj.plot.axes(111, projection='3d', aspect='equal')
      x, y, z = trial.marker('r-fing-index')
      ax.plot(x, z, zs=y)
      x, y, z = trial.marker('l-fing-index')
      ax.plot(x, z, zs=y)
      x, y, z = trial.marker('r-heel')
      ax.plot(x, z, zs=y)
      x, y, z = trial.marker('l-heel')
      ax.plot(x, z, zs=y)
      x, y, z = trial.marker('r-knee')
      ax.plot(x, z, zs=y)
      x, y, z = trial.marker('l-knee')
      ax.plot(x, z, zs=y)
      lmj.plot.show()
  
  
  if __name__ == '__main__':
      climate.call(main)
  
new_contents: import climate
  import lmj.plot
  
  import source
  import plots
  
  
  @climate.annotate(
      subjects='plot data from these subjects',
      marker=('plot data for this mocap marker', 'option'),
      trial_num=('plot data for this trial', 'option', None, int),
  )
  def main(marker='r-fing-index', trial_num=0, *subjects):
      with plots.space() as ax:
          for i, subject in enumerate(subjects):
              subj = source.Subject(subject)
              for b in subj.blocks:
                  trial = b.trials[trial_num]
                  trial.load()
                  x, y, z = trial.marker(marker)
                  ax.plot(x, z, zs=y, color=lmj.plot.COLOR11[i], alpha=0.7)
  
  
  if __name__ == '__main__':
      climate.call(main)
  
subject: Expand single-trial plot to include multiple subjects.