Creating graph using networkX

I am trying to make a graph for this data using the following code:

import networkx as nx
import csv
import matplotlib.pyplot as plt

graph = nx.Graph()
filename = "tubedata.csv"

with open(filename) as tube_data:
    starting_station = [row[0] for row in csv.reader(tube_data, delimiter=',')]

with open(filename) as tube_data:
    ending_station = [row[1] for row in csv.reader(tube_data, delimiter=',')]
    
with open(filename) as tube_data:
    average_time_taken = [row[3] for row in csv.reader(tube_data, delimiter=',')]
    
with open(filename) as tube_data:
    for line in tube_data:
        graph.add_edge(starting_station, ending_station, weight=average_time_taken)

However, I keep getting the following error:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/tmp/ipykernel_101/53822893.py in <module>
     17 with open(filename) as tube_data:
     18     for line in tube_data:
---> 19         graph.add_edge(starting_station, ending_station, weight=average_time_taken)

/opt/conda/lib/python3.9/site-packages/networkx/classes/graph.py in add_edge(self, u_of_edge, v_of_edge, **attr)
    870         u, v = u_of_edge, v_of_edge
    871         # add nodes
--> 872         if u not in self._node:
    873             self._adj[u] = self.adjlist_inner_dict_factory()
    874             self._node[u] = self.node_attr_dict_factory()

TypeError: unhashable type: 'list'

I have searched the error and understand that I need to pass a data structure that is immutable. I changed the code to the following:

with open(filename) as tube_data:
   starting_station = (row[0] for row in csv.reader(tube_data, delimiter=','))

with open(filename) as tube_data:
   ending_station = (row[1] for row in csv.reader(tube_data, delimiter=','))
   
with open(filename) as tube_data:
   average_time_taken = (row[3] for row in csv.reader(tube_data, delimiter=','))
   
with open(filename) as tube_data:
   for line in tube_data:
       graph.add_edge(starting_station, ending_station, weight=average_time_taken)

This resolves the above error but produces a graph with only two nodes and 1 edge? How can I capture the full data as a graph?