How can I get branch of a networkx graph as a list from pandas dataframe in Python?

I have a pandas dataframe df which looks as follows:

From    To
0   Node1   Node2
1   Node1   Node3
2   Node2   Node4
3   Node2   Node5
4   Node3   Node6
5   Node3   Node7
6   Node4   Node8
7   Node5   Node9
8   Node6   Node10
9   Node7   Node11

df.to_dict() is:

{'From': {0: 'Node1',
  1: 'Node1',
  2: 'Node2',
  3: 'Node2',
  4: 'Node3',
  5: 'Node3',
  6: 'Node4',
  7: 'Node5',
  8: 'Node6',
  9: 'Node7'},
 'To': {0: 'Node2',
  1: 'Node3',
  2: 'Node4',
  3: 'Node5',
  4: 'Node6',
  5: 'Node7',
  6: 'Node8',
  7: 'Node9',
  8: 'Node10',
  9: 'Node11'}}

I have plotted this pandas dataframe as a network graph using networkx package which looks as follows:

I want to get the list of unique scenarios/branches from this network graph. There are four branches here starting from Node1.

Node1-Node2-Node4-Node8
Node1-Node2-Node5-Node9
Node1-Node3-Node6-Node10
Node1-Node3-Node7-Node11

How can I get the list of the branches above from the given pandas dataframe in Python?

You can define Recursive Function and save path and print path:

df = pd.DataFrame({
          'From':['Node1','Node1', 'Node2', 'Node2', 'Node3', 'Node3', 'Node4', 'Node5', 'Node6', 'Node7'],
          'TO'  :['Node2','Node3', 'Node4', 'Node5', 'Node6', 'Node7', 'Node8', 'Node9', 'Node10', 'Node11']
        })

def prntPath(lst, node, df, lst_vst):
    for val in df.values:
        if val[0] == node:
            lst.append(val[1])
            prntPath(lst, val[1], df, lst_vst)
    
    if not lst[-1] in lst_vst:
        print('-'.join(lst))
    for l in lst: lst_vst.add(l)
    lst.pop()
    return
    
lst_vst = set()
prntPath(['Node1'],'Node1', df, lst_vst)

Output:

Node1-Node2-Node4-Node8
Node1-Node2-Node5-Node9
Node1-Node3-Node6-Node10
Node1-Node3-Node7-Node11

You can check and use for other graph like below:

import networkx as nx
import matplotlib.pyplot as plt
import pandas as pd
from itertools import chain
from networkx.drawing.nx_pydot import graphviz_layout

def prntPath(lst, node, df, lst_vst):
    for val in df.values:
        if val[0] == node:
            lst.append(val[1])
            prntPath(lst, val[1], df, lst_vst)
    if not lst[-1] in lst_vst: print('-'.join(lst))
    for l in lst: lst_vst.add(l)
    lst.pop()
    return

df = pd.DataFrame({
          'From':['Node1','Node1', 'Node2', 'Node3', 'Node3', 'Node5', 'Node7'],
          'TO'  :['Node2','Node3', 'Node5', 'Node6', 'Node7', 'Node9', 'Node11']
        })

g = nx.DiGraph()
g.add_nodes_from(set(chain.from_iterable(df.values)))
for edg in df.values:
    g.add_edge(*edg)
pos = graphviz_layout(g, prog="dot")
nx.draw(g, pos,with_labels=True, node_shape='s')
plt.draw()
plt.show() 

lst_vst = set()
prntPath(['Node1'],'Node1', df, lst_vst)

Output:

Node1-Node2-Node5-Node9
Node1-Node3-Node6
Node1-Node3-Node7-Node11