Is there a simple way to manually iterate through existing pandas groupby objects?

Is there a simple way to manually iterate through existing pandas groupby objects?

import pandas as pd

df = pd.DataFrame({'x': [0, 1, 2, 3, 4], 'category': ['A', 'A', 'B', 'B', 'B']})
grouped = df.groupby('category')

In the application a for name, group in grouped: loops follows. For manual-testing I would like to do something like group = grouped[0] and run the code within the for-loop. Unfortunately this does not work. The best thing I could find (here) was

group = df[grouped.ngroup()==0]

which relies on the original DataFrame and not soley on the groupby-Object and is therefore not optimal imo.

Any iterable (here the GroupBy object) can be turned into an iterator:

group_iter = iter(grouped)

The line below will be the equivalent of selecting the first group (indexed by 0):

name, group = next(group_iter)

To get the next group, just repeat:

name, group = next(group_iter)

And so on...

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Source: https://treyhunner.com/2018/02/python-range-is-not-an-iterator/