text: # imports here
  '''
  TODO:
  scaling and box zoom
  
  probability density plot
  -histogram
  1d fit
  2s fit
  -multivariant normal distribution
  
  kernel density estimate
  -pyflames post module
  
  principal components analysis
  clustering
  manifold learning T-sne
  '''
  import os
  from pypospack.pyposmat.visualization.bokeh import PyposmatBokehVisualizer
  
  if __name__ == "__main__":
      filename = os.path.join(
              'data__Ni__eam__born_exp_fs_00',
              'pyposmat.kde.1.out')
      #filename = os.path.join(
      #        'data__Ni__eam__born_exp_fs_03',
      #        "pyposmat.kde.0.out")
  
      vizdemo = PyposmatBokehVisualizer()
      vizdemo.load_data_file(filename= filename)
      print(vizdemo.err_names[0])
      vizdemo.start_bokeh_server()
      vizdemo.setup_bokeh_frame()
  