thing.py

import pandas as pd
import networkx
import toolz


df = pd.read_csv('/home/joe/downloads/debug.csv', escapechar='\\')
df.columns = ['stack', 'module', 'function', 'lineno', 'id', 'type', 'repr']

g = networkx.DiGraph()

for row in df[df.module == '__main__'].itertuples():
    g.add_node('.'.join((row.module, row.function)), **{row.id: row.type})

    for u, v in toolz.sliding_window(2, row.stack.split(';')):
        u = u.split(':', 1)[0]
        v = v.split(':', 1)[0]

        g.add_edge(v, u)



def f(group):
    stacks = [
        [v.split(':', 1)[0] for v in stack]
        for stack in group['stack'].str.split(';').tolist()
    ]

    it = iter(stacks)
    head = next(it)

    for e in it:
        if e[-len(head):] != head:
            head = e
        else:
            print(
                f'{group.iloc[0]["id"]}={group.iloc[0]["repr"]} {e}',
            )


df.groupby('id').apply(f)