CODEWITHSUNDEEP
pythonjson
q q
q q

Reputation: 5

Python Json change or restructure value to new keys

I have a JSON file that has been generated from transfer learning that calculates the probability, following:

{"str.++,C_1": {
  "C_1": 1
},
  "Var,str.replace": {
  "C_2": 1
},
"str.replace,_": {
  "str.replace": 0.8571428571428571,
  "Var": 0.14285714285714285
}}

that need to be changed to like following, changing the value to keys as context, rule, and probability:

[{
  "context": "Var,str.replace",
  "rule": "C_2",
  "prob": 1
},
{"context":"str.++,C_1",
  "rule":"C_1",
  "prob": 1
},
{"context":"str.replace,_",
  "rule":"str.replace, var"
  "prob": 0.8571428571428571, 0.14285714285714285
}]

I tried dumps from the original python code but it just dumps value into key.

Upvotes: 0

Views: 126

Answers (1)

Selcuk
Selcuk

Reputation: 59174

This can easily be done using a list comprehension:

>>> d = {'str.++,C_1': {'C_1': 1}, 'Var,str.replace': {'C_2': 1}, 'str.replace,_': {'str.replace': 0.8571428571428571, 'Var': 0.14285714285714285}}
>>> [{"context": k, "rule": list(v.keys()), "prob": list(v.values())} for k, v in d.items()]

output:

[{'context': 'str.++,C_1', 'rule': ['C_1'], 'prob': [1]},
 {'context': 'Var,str.replace', 'rule': ['C_2'], 'prob': [1]},
 {'context': 'str.replace,_', 'rule': ['str.replace', 'Var'], 'prob': [0.8571428571428571, 0.14285714285714285]}]

Note that "prob": 0.8571428571428571, 0.14285714285714285 is not a valid JSON value in your expected output. The above code correctly encodes that part as a list/array.

Upvotes: 1

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