drawing a graph for model

Question

    def add_edge(self, start, end, **kwargs):
  model.add_nodes_from(path)
  model.add_edge(('Patient number',0),('Gender',0),('Age (years)',0),('Place of residence',0),('Number of children',0)))

  sorted(model.edges(df))
  nx.is_directed_acyclic_graph(model)

i need to draw a graph by using plot but i have error

plot code:

plt.plot(model)
  plt.show() 

error message:

TypeError                                 Traceback (most recent call last)
<ipython-input-10-e60ddcd33b72> in <module>()
----> 1 plt.plot(model)
      2 plt.show()

6 frames
/usr/local/lib/python3.7/dist-packages/matplotlib/cbook/__init__.py in _to_unmasked_float_array(x)
   1315         return np.ma.asarray(x, float).filled(np.nan)
   1316     else:
-> 1317         return np.asarray(x, float)
   1318 
   1319 

TypeError: float() argument must be a string or a number, not 'LogisticRegression'

how i can detect x , y value? ( i add edge for data and its stage)