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Python JSON Exercise

Updated on:  | 10 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.
  • Also, Solve Python Exercises: 29 topic-wise exercises with over 800+ coding questions

Use Online Code Editor to solve exercise questions.

Table of contents

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:

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'])
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)
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About Vishal

I’m Vishal Hule, the Founder of PYnative.com. As a Python developer, I enjoy assisting students, developers, and learners. Follow me on Twitter.

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Comments

  2. Mehdi says

    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

      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

  3. sreenu says

    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

  4. Debashis Das says

    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))
    Reply

  5. rene salmon says

    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']]
    Reply

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