python json dump to file

import json

data = {"key": "value"}

with open('data.json', 'w') as jsonfile:
    json.dump(data, jsonfile)

import json

with open('file_to_load.json', 'r') as file:
  data = json.load(file)

with open('data.txt', 'w') as outfile:
    json.dump(data, outfile)

import json

with open('data.txt') as json_file:
    data = json.load(json_file)
    for p in data['people']:
        print('Name: ' + p['name'])
        print('Website: ' + p['website'])
        print('From: ' + p['from'])
        print('')

import json

data = {}
data['people'] = []
data['people'].append({
    'name': 'Scott',
    'website': 'stackabuse.com',
    'from': 'Nebraska'
})
data['people'].append({
    'name': 'Larry',
    'website': 'google.com',
    'from': 'Michigan'
})
data['people'].append({
    'name': 'Tim',
    'website': 'apple.com',
    'from': 'Alabama'
})

with open('data.txt', 'w') as outfile:
    json.dump(data, outfile)

import json
with open('data.json', 'w') as f:
    json.dump(data, f)

>>> import json
>>> data = {'item': 'Beer', 'cost':'£4.00'}
>>> jstr = json.dumps(data, indent=4)
>>> print(jstr)
{
    "item": "Beer",
    "cost": "\u00a34.00"
}

# a Python object (dict):
x = {
  "name": "John",
  "age": 30,
  "city": "New York"
}

# convert into JSON:
y = json.dumps(x)

import json
import numpy as np

class NpEncoder(json.JSONEncoder):
    def default(self, obj):
        if isinstance(obj, np.integer):
            return int(obj)
        elif isinstance(obj, np.floating):
            return float(obj)
        elif isinstance(obj, np.ndarray):
            return obj.tolist()
        else:
            return super(NpEncoder, self).default(obj)

# Your codes .... 
json.dumps(data, cls=NpEncoder)

>>> jstr = json.dumps(data, ensure_ascii=False, indent=4)
>>> print(jstr)
{
    "item": "Beer",
    "cost": "£4.00"
}

>>> import json
>>> data = {'people':[{'name': 'Scott', 'website': 'stackabuse.com', 'from': 'Nebraska'}]}
>>> json.dumps(data, indent=4)
{
    "people": [
        {
            "website": "stackabuse.com", 
            "from": "Nebraska", 
            "name": "Scott"
        }
    ]
}