You need to change the set_index+ data stackand then use groupbywith applyfor nested list of dict:
import json
df = (df.set_index('name')
.stack()
.reset_index(level=1)
.rename(columns={'level_1':'name', 0:'size'})
.groupby(level=0).apply(lambda x: x.to_dict(orient='records'))
.reset_index(name='children')
)
print (df)
name children
0 K1 [{'name': 'Exact', 'size': 4}, {'name': 'synon...
1 K2 [{'name': 'Exact', 'size': 10}, {'name': 'syno...
2 K3 [{'name': 'Exact', 'size': 0}, {'name': 'synon...
3 K4 [{'name': 'Exact', 'size': 13}, {'name': 'syno...
4 K5 [{'name': 'Exact', 'size': 0}, {'name': 'synon...
#convert output to dict
j = { "name": "flare", "children": df.to_dict(orient='records')}
import pprint
pp = pprint.PrettyPrinter(indent=4)
pp.pprint(j)
{ 'children': [ { 'children': [ {'name': 'Exact', 'size': 4},
{'name': 'synonyms', 'size': 14}],
'name': 'K1'},
{ 'children': [ {'name': 'Exact', 'size': 10},
{'name': 'synonyms', 'size': 20}],
'name': 'K2'},
{ 'children': [ {'name': 'Exact', 'size': 0},
{'name': 'synonyms', 'size': 5}],
'name': 'K3'},
{ 'children': [ {'name': 'Exact', 'size': 13},
{'name': 'synonyms', 'size': 15}],
'name': 'K4'},
{ 'children': [ {'name': 'Exact', 'size': 0},
{'name': 'synonyms', 'size': 0}],
'name': 'K5'}],
'name': 'flare'}
with open('data.json', 'w') as outfile:
json.dump(j, outfile)