This Python JSON exercise helps Python developers to practice JSON creation, manipulation, and parsing. As you know, JSON (an acronym for JavaScript Object Notation) is a data-interchange format and is commonly used for client-server communication.
Read Python JSON tutorials for any help.
This exercise includes the following: –
- It has 9 questions and solutions provided for each question.
- Each question includes a specific JSON concept you need to learn. When you complete each question, you get more familiar with JSON encoding and decoding in Python.
Use Online Code Editor to solve exercise questions.
Table of contents
- Exercise 1: Convert the following dictionary into JSON format
- Exercise 2: Access the value of key2 from the following JSON
- Exercise 3: PrettyPrint following JSON data
- Exercise 4: Sort JSON keys in and write them into a file
- Exercise 5: Access the nested key ‘salary’ from the following JSON
- Exercise 6: Convert the following Vehicle Object into JSON
- Exercise 7: Convert the following JSON into Vehicle Object
- Exercise 8: Check whether following json is valid or invalid. If Invalid correct it
- Exercise 9: Parse the following JSON to get all the values of a key ‘name’ within an array
Exercise 1: Convert the following dictionary into JSON format
data = {"key1" : "value1", "key2" : "value2"}Expected Output:
data = {"key1" : "value1", "key2" : "value2"}
Show Solution
import json
data = {"key1" : "value1", "key2" : "value2"}
jsonData = json.dumps(data)
print(jsonData)Exercise 2: Access the value of key2 from the following JSON
import json
sampleJson = """{"key1": "value1", "key2": "value2"}"""
# write code to print the value of key2Expected Output:
value2
Show Solution
import json
sampleJson = """{"key1": "value1", "key2": "value2"}"""
data = json.loads(sampleJson)
print(data['key2'])Exercise 3: PrettyPrint following JSON data
PrettyPrint following JSON data with indent level 2 and key-value separators should be (",", " = ").
sampleJson = {"key1": "value1", "key2": "value2"}Expected Output:
{
"key1" = "value2",
"key2" = "value2",
"key3" = "value3"
}
Show Solution
import json
sampleJson = {"key1" : "value2", "key2" : "value2", "key3" : "value3"}
prettyPrintedJson = json.dumps(sampleJson, indent=2, separators=(",", " = "))
print(prettyPrintedJson)
Exercise 4: Sort JSON keys in and write them into a file
Sort following JSON data alphabetical order of keys
sampleJson = {"id" : 1, "name" : "value2", "age" : 29}Expected Output:
{
"age": 29,
"id": 1,
"name": "value2"
}
Show Solution
import json
sampleJson = {"id" : 1, "name" : "value2", "age" : 29}
print("Started writing JSON data into a file")
with open("sampleJson.json", "w") as write_file:
json.dump(sampleJson, write_file, indent=4, sort_keys=True)
print("Done writing JSON data into a file")Exercise 5: Access the nested key ‘salary’ from the following JSON
import json
sampleJson = """{
"company":{
"employee":{
"name":"emma",
"payble":{
"salary":7000,
"bonus":800
}
}
}
}"""
# write code to print the value of salaryExpected Output:
7000
Show Solution
import json
sampleJson = """{
"company":{
"employee":{
"name":"emma",
"payble":{
"salary":7000,
"bonus":800
}
}
}
}"""
data = json.loads(sampleJson)
print(data['company']['employee']['payble']['salary'])
Exercise 6: Convert the following Vehicle Object into JSON
import json
class Vehicle:
def __init__(self, name, engine, price):
self.name = name
self.engine = engine
self.price = price
vehicle = Vehicle("Toyota Rav4", "2.5L", 32000)
# Convert it into JSON formatExpected Output:
{
"name": "Toyota Rav4",
"engine": "2.5L",
"price": 32000
}
Show Solution
import json
from json import JSONEncoder
class Vehicle:
def __init__(self, name, engine, price):
self.name = name
self.engine = engine
self.price = price
class VehicleEncoder(JSONEncoder):
def default(self, o):
return o.__dict__
vehicle = Vehicle("Toyota Rav4", "2.5L", 32000)
print("Encode Vehicle Object into JSON")
vehicleJson = json.dumps(vehicle, indent=4, cls=VehicleEncoder)
print(vehicleJson)Exercise 7: Convert the following JSON into Vehicle Object
{ "name": "Toyota Rav4", "engine": "2.5L", "price": 32000 }
For example, we should be able to access Vehicle Object using the dot operator like this.
vehicleObj.name, vehicleObj.engine, vehicleObj.price
Show Solution
import json
class Vehicle:
def __init__(self, name, engine, price):
self.name = name
self.engine = engine
self.price = price
def vehicleDecoder(obj):
return Vehicle(obj['name'], obj['engine'], obj['price'])
vehicleObj = json.loads('{ "name": "Toyota Rav4", "engine": "2.5L", "price": 32000 }',
object_hook=vehicleDecoder)
print("Type of decoded object from JSON Data")
print(type(vehicleObj))
print("Vehicle Details")
print(vehicleObj.name, vehicleObj.engine, vehicleObj.price)Exercise 8: Check whether following json is valid or invalid. If Invalid correct it
{
"company":{
"employee":{
"name":"emma",
"payble":{
"salary":7000
"bonus":800
}
}
}
}
Show Solution
Solution 1:
Python provides The json.tool module to validate JSON objects from the command line. Run the following command.
Command: echo "JSON DATA" | python -m json.tool
echo { "company":{ "employee":{ "name":"emma", "payble":{ "salary":7000 "bonus":800} } } } | python -m json.tool
Output:
Expecting ',' delimiter: line 1 column 68 (char 67)
Just add ',' after "salary":7000 to solve the error.
Solution 2
import json
def validateJSON(jsonData):
try:
json.loads(jsonData)
except ValueError as err:
return False
return True
InvalidJsonData = """{ "company":{ "employee":{ "name":"emma", "payble":{ "salary":7000 "bonus":800} } } }"""
isValid = validateJSON(InvalidJsonData)
print("Given JSON string is Valid", isValid)Exercise 9: Parse the following JSON to get all the values of a key ‘name’ within an array
[
{
"id":1,
"name":"name1",
"color":[
"red",
"green"
]
},
{
"id":2,
"name":"name2",
"color":[
"pink",
"yellow"
]
}
]
Expected Output:
["name1", "name2"]
Show Solution
import json
sampleJson = """[
{
"id":1,
"name":"name1",
"color":[
"red",
"green"
]
},
{
"id":2,
"name":"name2",
"color":[
"pink",
"yellow"
]
}
]"""
data = []
try:
data = json.loads(sampleJson)
except Exception as e:
print(e)
dataList = [item.get('name') for item in data]
print(dataList)
