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Python JSON Exercise

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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

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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Comments

  2. ImageMehdi 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

    • ImageMohammad 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. Imagesreenu 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. ImageDebashis 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. Imagerene 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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