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Python JSON Exercise

Updated on: December 8, 2021 | 8 Comments

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.

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"}Code language: Python (python)

Expected Output:

data = {"key1" : "value1", "key2" : "value2"}

Show Solution

import json
data = {"key1" : "value1", "key2" : "value2"}
jsonData = json.dumps(data)
print(jsonData)Code language: Python (python)

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 key2Code language: Python (python)

Expected Output:

value2

Show Solution

import json
sampleJson = """{"key1": "value1", "key2": "value2"}"""
data = json.loads(sampleJson)
print(data['key2'])Code language: Python (python)

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"}Code language: Python (python)

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)
Code language: Python (python)

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}Code language: Python (python)

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")Code language: Python (python)

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 salaryCode language: Python (python)

Expected Output:

Show Solution

import json
sampleJson = """{ 
   "company":{ 
      "employee":{ 
         "name":"emma",
         "payble":{ 
            "salary":7000,
            "bonus":800
         }
      }
   }
}"""
data = json.loads(sampleJson)
print(data['company']['employee']['payble']['salary'])
Code language: Python (python)

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 formatCode language: Python (python)

Expected 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)Code language: Python (python)

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)Code language: Python (python)

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
Code language: Python (python)

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)Code language: Python (python)

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)
Code language: Python (python)

Comments

Mehdi says

December 29, 2023 at 9:54 pm

Hello
I am very happy that I came across this interesting and useful website. It has very good exercises and I hope that this website will improve day by day and provide us with more exercises.
For the last exercise, since I was not yet familiar with the try expect method, that’s why I wrote another answer model for this exercise, I will share it with you.

import json
json_data = “””[
{
“id”:1,
“name”:”name1″,
“color”:[
“red”,
“green”
]
},
{
“id”:2,
“name”:”name2″,
“color”:[
“pink”,
“yellow”
]
}
]”””
json_data_list = json.loads(json_data)
json_data_list_name = []
for item in json_data_list:
for key, value in item.items():
if key == “name”:
json_data_list_name.append(value)
json_data_list_name_string = json.dumps(json_data_list_name)
print(json_data_list_name_string)

Reply
- Mohammad Yusuf says
  
  April 10, 2025 at 3:43 pm
  
  import json
  
  json_data = “””[
  {
  “id”:1,
  “name”:”name1″,
  “color”:[
  “red”,
  “green”
  ]
  },
  {
  “id”:2,
  “name”:”name2″,
  “color”:[
  “pink”,
  “yellow”
  ]
  }
  ]”””
  
  json_data_list = json.loads(json_data)
  
  json_data_list_name = []
  for item in json_data_list:
  for key, value in item.items():
  if key == “name”:
  json_data_list_name.append(value)
  
  json_data_list_name_string = json.dumps(json_data_list_name)
  print(json_data_list_name_string)
  
  Reply
sreenu says

October 25, 2021 at 11:39 am

Very useful. Thanks
I have a dataframe that is coming read_csv having date columns with different date formats (accepted and confirmed by business ) like below.

the issue is we are getting dynamic format in columns. user entered/updated any accepted format in any column.
Note: Column can have only one format

accepted date formats – DD/MM/YY, mm-dd-yyyy and MMM-yy

day1
id,date1,date2,date3
1,25/10/21,10-25-2021,Jun-21
2,25/10/21,10-25-2021,Feb-20

day2
id,date1,date2,date3
1,25/10/21,Jun-21,10-25-2021
2,25/10/21,Feb-20,10-25-2021

Now I want to create a function/method to convert all the above date to YYYY-MM-DD format. the rule is if any column has MMM-YY then it should be the last day of the month

output

day1
id,date1,date2,date3
1,2021-10-25,2021-10-25,2021-10-31

day2
id,date1,date2,date3
1,2021-10-25,2021-10-31,2021-10-25
2,2021-10-25,2020-02-29,202110-25

Can you please help me? I have sent the mail last week. it would be a great help if you help me with this

Reply

Debashis Das says

September 28, 2021 at 11:19 am

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 format

This can be done also like this:


di = vehicle.__dict__
print(json.dumps(di, indent=4))

rene salmon says

August 8, 2021 at 2:47 am

Just solved the last exercise very simply with pandas. check it out

#Assign list to data
data =[ 
   { 
      "id":1,
      "name":"name1",
      "color":[ 
         "red",
         "green"
      ]
   },
   { 
      "id":2,
      "name":"name2",
      "color":[ 
         "pink",
         "yellow"
      ]
   }
]

#How to get expected output [‘name1’, ‘name2’]?

[data[0]['name'],data[1]['name']]

jia says

October 22, 2020 at 2:51 pm

Hi I have an issue with Question 8
it shows an invalid syntax for “bonus”:800

Reply
Munna says

June 24, 2020 at 5:51 pm

Hi Vishal,

how to convert json data to CSV file

Reply
- Vishal says
  
  June 25, 2020 at 3:11 pm
  
  You can use pandas. so I will add one more article to cover this
  
  Reply

Python JSON Exercise

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

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