Read json file and update existing excel using python pandas

Question

excel_file name = exl.xlsx

Excel data:

name  surname   email  
a     sname     abc.com  
b     sname2    efg.com  

json file name = input.json

json data

{
 "a":
    {
     "friend1":4444444444,
     "friend2":5555555555,
     "friend3":1111111111
    },
 "b":
    {
     "friend3":6565656565,
     "friend2":9999999999,
     "friend5":9999988888
    }
}  


import json  
import panda as pd  

json_data = json.load(open(input.json))  
data = pd.read_json(json_data)  

excel_file = pd.read_excel(exl.xlsx, na_filter=False, header=0)  

I want to update excel file in such a way that you match the name from json to excel and add a new column in excel with name "listOfFriends" and for that matched name you update the column

name  surname   email    listOfFriends  
a     sname     abc.com  friend1, friend2, friend3  
b     sname2    efg.com  friend3, friend2, friend5  

Answer 1

Say you start with

j = """
{
 "a":
    {
     "friend1":4444444444,
     "friend2":5555555555,
     "friend3":1111111111
    },
 "b":
    {
     "friend3":6565656565,
     "friend2":9999999999,
     "friend5":9999988888
    }
}
"""

Then

pd.Series({k: list(v) for k, v in json.loads(j).items()}).to_frame().rename(columns={0: 'listOfFriends'})

gives

    listOfFriends
a   [friend1, friend2, friend3]
b   [friend3, friend2, friend5]

If you assign this to friends , you just need to

pd.merge(excel_file, friends, left_on='name', right_index=True)

and write the results back to the Excel file.