Convert JSON file to Pandas dataframe

Question

I would like to convert a JSON to Pandas dataframe.

My JSON looks like: like:

{ 
   \"country1\":{ 
      \"AdUnit1\":{ 
         \"floor_price1\":{ 
            


        

Answer 1

Not the best way, but it's work. Also you should modify flatten function that is only picked from this awnser

test = { 
   "country1":{ 
      "AdUnit1":{ 
         "floor_price1":{ 
            "feature1":1111,
            "feature2":1112
         },
         "floor_price2":{ 
            "feature1":1121
         }
      },
      "AdUnit2":{ 
         "floor_price1":{ 
            "feature1":1211
         },
         "floor_price2":{ 
            "feature1":1221
         }
      }
   },
   "country2":{ 
      "AdUnit1":{ 
         "floor_price1":{ 
            "feature1":2111,
            "feature2":2112
         }
      }
   }
}

from collections import defaultdict
import pandas as pd
import collections

def flatten(d, parent_key='', sep='_'):
    items = []
    for k, v in d.items():
        new_key = parent_key + sep + k if parent_key else k
        if isinstance(v, collections.MutableMapping):
            items.extend(flatten(v, new_key, sep=sep).items())
        else:
            items.append((new_key, v))
    return dict(items)

results = defaultdict(list)   
colnames = ["col1", "col2", "col3", "col4", "col5", "col6"]
for key, value in flatten(test).items():
    elements = key.split("_")
    elements.append(value)
    for colname, element in zip(colnames, elements):
        results[colname].append(element)

df = pd.DataFrame(results)
print(df)