Answers for "jsonify python"

python json string to object

import json

x =  '{ "name":"John", "age":30, "city":"New York"}'
y = json.loads(x)

print(y["age"])

flask import jsonify

from flask import jsonify

@app.route('/_get_current_user')
def get_current_user():
    return jsonify(username=g.user.username,
                   email=g.user.email,
                   id=g.user.id)

python json stringify

import json

json.dumps(['foo', {'bar': ('baz', None, 1.0, 2)}])
'["foo", {"bar": ["baz", null, 1.0, 2]}]'

print(json.dumps({"c": 0, "b": 0, "a": 0}, sort_keys=True))
{"a": 0, "b": 0, "c": 0}

python import json data

# Basic syntax:
import ast
# Create function to import JSON-formatted data:
def import_json(filename):
  for line in open(filename):
    yield ast.literal_eval(line)
# Where ast.literal_eval allows you to safely evaluate the json data.
# 	See the following link for more on this:
# 	https://stackoverflow.com/questions/15197673/using-pythons-eval-vs-ast-literal-eval
        
# Import json data
data = list(import_json("/path/to/filename.json"))

# (Optional) convert json data to pandas dataframe:
dataframe = pd.DataFrame.from_dict(data)
# Where keys become column names

json.stringify equivalent in python

json_mylist = json.dumps(mylist, separators=(',', ':'))