Suppose you have a dictionary like:
{\'a\': 1,
\'c\': {\'a\': 2,
\'b\': {\'x\': 5,
\'y\' : 10}},
\'d\': [1, 2, 3]}
Ho
If you're using pandas
there is a function hidden in pandas.io.json._normalize
1 called nested_to_record
which does this exactly.
from pandas.io.json._normalize import nested_to_record
flat = nested_to_record(my_dict, sep='_')
1 In pandas versions 0.24.x
and older use pandas.io.json.normalize
(without the _
)