Some text in the Modal..

Some text in the Modal..

Python Basic Tutorial: How to Convert JSON to Python? | BJ Creations

Type something and hit enter

ads here
On
advertise here

JSON in Python

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

Example

Import the json module:
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.
The result will be a Python dictionary.

Example

Convert from JSON to Python:
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"])
Run example »

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

Convert from Python to JSON:
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)
Run example »


You can convert Python objects of the following types, into JSON strings:
  • dict
  • list
  • tuple
  • string
  • int
  • float
  • True
  • False
  • None

Example

Convert Python objects into JSON strings, and print the values:
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))
Run example »

Example

Convert a Python object containing all the legal data types:
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))
Run example »

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

Use the indent parameter to define the numbers of indents:
json.dumps(x, indent=4)
Run example »
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

Use the separators parameter to change the default separator:
json.dumps(x, indent=4, separators=(". "" = "))
Run example »

Order the Result

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

Example

Use the sort_keys parameter to specify if the result should be sorted or not:
json.dumps(x, indent=4, sort_keys=True)
Run example »

Click to comment