Python JSON

JSON is a syntax for storing and exchanging data.

JSON is text, written with JavaScript object notation.

JSON in Python

Python has a built-in package called json, which can be used to work with JSON data.

Example

import json

Parse JSON - Convert from JSON to Python

If you have a JSON string, you can parse it by using the json.loads() method.

Note: The result will be a Python dictionary.

Example

import json

# some JSON:
x =  '{ "name":"John", "age":30, "city":"New
York"}'

# parse x:
y = json.loads(x)

# the result is a
Python dictionary:
print(y["age"])

Convert from Python to JSON

If you have a Python object, you can convert it into a JSON string by using the json.dumps() method.

Example

import json

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

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

# the result is a JSON string:
print(y)

You can convert Python objects of the following types, into JSON strings:

• dict
• list
• tuple
• string
• int
• float
• True
• False
• None

Example

  import json

print(json.dumps({"name": "John", "age": 30}))
print(json.dumps(["apple",
  "bananas"]))
print(json.dumps(("apple", "bananas")))
  print(json.dumps("hello"))
print(json.dumps(42))
print(json.dumps(31.76))
print(json.dumps(True))
print(json.dumps(False))
print(json.dumps(None))

When you convert from Python to JSON, Python objects are converted into the JSON (JavaScript) equivalent:

Example

import json

x = {
  "name":
"John",
  "age": 30,
  "married": True,

"divorced": False,
  "children": ("Ann","Billy"),
  "pets":
None,
  "cars": [
    {"model": "BMW 230", "mpg":
27.5},
    {"model": "Ford Edge", "mpg": 24.1}
  ]
}

print(json.dumps(x))

Format the Result

The example above prints a JSON string, but it is not very easy to read, with no indentations and line breaks.

The json.dumps() method has parameters to make it easier to read the result:

Example

json.dumps(x, indent=4)

You can also define the separators, default value is (", ", ": "), which means using a comma and a space to separate each object, and a colon and a space to separate keys from values:

Example

json.dumps(x, indent=4, separators=(". ", " = "))

Order the Result

The json.dumps() method has parameters to order the keys in the result:

Example

json.dumps(x, indent=4, sort_keys=True)