I have a flattened dictionary which I want to make into a nested one, of the form
flat = {'X_a_one': 10,
'X_a_two': 20,
'X_b_one': 10,
'X_b_two': 20,
'Y_a_one': 10,
'Y_a_two': 20,
'Y_b_one': 10,
'Y_b_two': 20}
I want to convert it to the form
nested = {'X': {'a': {'one': 10,
'two': 20},
'b': {'one': 10,
'two': 20}},
'Y': {'a': {'one': 10,
'two': 20},
'b': {'one': 10,
'two': 20}}}
The structure of the flat dictionary is such that there should not be any problems with ambiguities. I want it to work for dictionaries of arbitrary depth, but performance is not really an issue. I've seen lots of methods for flattening a nested dictionary, but basically none for nesting a flattened dictionary. The values stored in the dictionary are either scalars or strings, never iterables.
So far I have got something which can take the input
test_dict = {'X_a_one': '10',
'X_b_one': '10',
'X_c_one': '10'}
to the output
test_out = {'X': {'a_one': '10',
'b_one': '10',
'c_one': '10'}}
using the code
def nest_once(inp_dict):
out = {}
if isinstance(inp_dict, dict):
for key, val in inp_dict.items():
if '_' in key:
head, tail = key.split('_', 1)
if head not in out.keys():
out[head] = {tail: val}
else:
out[head].update({tail: val})
else:
out[key] = val
return out
test_out = nest_once(test_dict)
But I'm having trouble working out how to make this into something which recursively creates all levels of the dictionary.
Any help would be appreciated!
(As for why I want to do this: I have a file whose structure is equivalent to a nested dict, and I want to store this file's contents in the attributes dictionary of a NetCDF file and retrieve it later. However NetCDF only allows you to put flat dictionaries as the attributes, so I want to unflatten the dictionary I previously stored in the NetCDF file.)
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