JSON Extract to dataframe using python - python-3.x

Question

I have a JSON file and the structure of the file is as below
[json file with the structure][1]
I am trying to get all the details into dataframe or tabular form, Tried using denormalize and could not get the actual result.
{
"body": [{
"_id": {
"s": 0,
"i": "5ea6c8ee24826b48cc560e1c"
},
"fdfdsfdsf": "V2_1_0",
"dsd": "INDIA-",
"sdsd": "df-as-3e-ds",
"dsd": 123,
"dsds": [{
"dsd": "s_10",
"dsds": [{
"dsdsd": "OFFICIAL",
"dssd": {
"dsds": {
"sdsd": "IND",
"dsads": 0.0
}
},
"sadsad": [{
"fdsd": "ABC",
"dds": {
"dsd": "INR",
"dfdsfd": -1825.717444
},
"dsss": [{
"id": "A:B",
"dsdsd": "A.B"
}
]
}, {
"name": "dssadsa",
"sadds": {
"sdsads": "INR",
"dsadsad": 180.831415
},
"xcs": "L:M",
"sds": "L.M"
}
]
}
]
}
]
}
]
}

Answer 1

This structure is far too nested to put directly into a dataframe. First, you'll need to use the ol' flatten_json function. This function isn't in a library (to my knowledge), but you see it around a lot. Save it somewhere.
def flatten_json(nested_json):
"""
Flatten json object with nested keys into a single level.
Args:
nested_json: A nested json object.
Returns:
The flattened json object if successful, None otherwise.
"""
out = {}
def flatten(x, name=''):
if type(x) is dict:
for a in x:
flatten(x[a], name + a + '_')
elif type(x) is list:
i = 0
for a in x:
flatten(a, name + str(i) + '_')
i += 1
else:
out[name[:-1]] = x
flatten(nested_json)
return out
Applying it to your data:
import json
with open('deeply_nested.json', r) as f:
flattened_json = flatten_json(json.load(f))
df = pd.json_normalize(flattened_json)
df.columns
Index(['body_0__id_s', 'body_0__id_i', 'body_0_schemaVersion',
'body_0_snapUUID', 'body_0_jobUUID', 'body_0_riskSourceID',
'body_0_scenarioSets_0_scenario',
'body_0_scenarioSets_0_modelSet_0_modelPolicyLabel',
'body_0_scenarioSets_0_modelSet_0_valuation_pv_unit',
'body_0_scenarioSets_0_modelSet_0_valuation_pv_value',
'body_0_scenarioSets_0_modelSet_0_measures_0_name',
'body_0_scenarioSets_0_modelSet_0_measures_0_value_unit',
'body_0_scenarioSets_0_modelSet_0_measures_0_value_value',
'body_0_scenarioSets_0_modelSet_0_measures_0_riskFactors_0_id',
'body_0_scenarioSets_0_modelSet_0_measures_0_riskFactors_0_underlyingRef',
'body_0_scenarioSets_0_modelSet_0_measures_1_name',
'body_0_scenarioSets_0_modelSet_0_measures_1_value_unit',
'body_0_scenarioSets_0_modelSet_0_measures_1_value_value',
'body_0_scenarioSets_0_modelSet_0_measures_1_riskFactors',
'body_0_scenarioSets_0_modelSet_0_measures_1_underlyingRef'],
dtype='object')