Extract List in Column Pandas Dataframe

Question

please help..

file.json
[
{"fullname": "mona", "phones": [{"phone": "21323131"}], "areas": [{"area": "Texas"}, {"area": "New York"}] }, 
{"fullname": "joni", "phones": [{"phone": "546465464"},{"phone": "45345353"}], "areas": [{"area": "California"},{"area": "San Jose"}] }
]

i have dataframe like this

import pandas as pd

df = pd.read_json('file.json')

print(df.head(2))

Output:

fullname   phones                                          Areas
mona       [{'phone': '21323131'}]                         [{'area': 'Texas'}, {'area': 'New York'}]   
joni       [{'phone': '546465464'},{'phone': '45345353'}]  [{'area': 'California'},{'area': 'San Jose'}] 

how to extract dataframe to be like this?

fullname   phone        Areas
mona       21323131     Texas, New York 
joni       546465464    California, San Jose
joni       45345353     California, San Jose

Answer 1

Let's try explode along with Series.str.get :

s = df['areas'].explode().str.get('area').groupby(level=0).agg(', '.join)
d = df.explode('phones').assign(areas=s, phones=lambda x: x['phones'].str.get('phone'))

---

print(d)

  fullname     phones                 areas
0     mona   21323131       Texas, New York
1     joni  546465464  California, San Jose
1     joni   45345353  California, San Jose

Answer 2

Here is a possible solution:

import json
import pandas as pd

with open('file.json') as f:
    data = json.load(f)

exploded_data = [{'fullname': x['fullname'],
                  'phone': p['phone'],
                  'area': a['area']}
                 for x in data for p, a in zip(x['phones'], x['areas'])]

df = pd.DataFrame(exploded_data)