Problems with cells referencing ['_Model__dict']

[bastianbc]

E.g. Running the command in the example:
pprint(vars(mutations[0])['_Model__dict'])

results in this error:

TypeError Traceback (most recent call last)
in
----> 1 pprint(vars(mutations[0])['_Model__dict'])

TypeError: vars() argument must have dict attribute

[mastermanga]

pprint(mutations[0]._asdict())
is working for me. It's look like vars is having some trouble with python 3.

[GremyTrullier]

pprint(mutations[0]._asdict())
is working for me. It's look like vars is having some trouble with python 3.

This looks like a good solution to me.
You'll also need to use ._asdict() when creating the pandas Dataframe later in the notebook.
You can use this code below :

import pandas as pd

mdf = pd.DataFrame.from_dict([
    # python magic that combines two dictionaries:
    dict(
        m._asdict(),
        **m._asdict()['gene']) 
    # create one item in the list for each mutation
    for m in mutations
])