How to convert JSON to XLS in Python

Using pandas (0.15.1) and openpyxl (1.8.6):

import pandas
pandas.read_json("input.json").to_excel("output.xlsx")

If your json file is stored in some directory then,

import pandas as pd
pd.read_json("/path/to/json/file").to_excel("output.xlsx")

If you have your json within the code then, you can simply use DataFrame

json_file = {'name':["aparna", "pankaj", "sudhir", "Geeku"],'degree': ["MBA", "BCA", "M.Tech", "MBA"],'score':[90, 40, 80, 98]}
df = pd.DataFrame(json_file).to_excel("excel.xlsx")

In case someone wants to do output to Excel as a stream using Flask-REST

Pandas versions:

json_payload = request.get_json()

with NamedTemporaryFile(suffix='.xlsx') as tmp:

    pandas.DataFrame(json_payload).to_excel(tmp.name)

    buf = BytesIO(tmp.read())

    response = app.make_response(buf.getvalue())
    response.headers['content-type'] = 'application/octet-stream'

    return response

and OpenPyXL version:

keys = []
wb = Workbook()
ws = wb.active

json_data = request.get_json()

with NamedTemporaryFile() as tmp:

    for i in range(len(json_data)):
        sub_obj = json_data[i]
        if i == 0:
            keys = list(sub_obj.keys())
            for k in range(len(keys)):
                ws.cell(row=(i + 1), column=(k + 1), value=keys[k]);
        for j in range(len(keys)):
            ws.cell(row=(i + 2), column=(j + 1), value=sub_obj[keys[j]]);
    wb.save(tmp.name)

    buf = BytesIO(tmp.read())

    response = app.make_response(buf.getvalue())
    response.headers['content-type'] = 'application/octet-stream'

    return response

If you want to covert any json (.json) file into Microsoft excel you can try below code snippet. And you are getting
Value error: trailing data

Example: your file name is “input”.

Import pandas as pd
pd.read_json(“input.json”, lines = True).to_excel(“output.xlsx”)

output.xlsx will be your required file