JSON object must be str, bytes or bytearray, not dict

In Python 3, to load json previously saved like this:

json.dumps(dictionary)

the output is something like

{"('Hello',)": 6, "('Hi',)": 5}

when I use

json.loads({"('Hello',)": 6, "('Hi',)": 5})

it doesn't work, this happens:

TypeError: the JSON object must be str, bytes or bytearray, not 'dict'

json.loads take a string as input and returns a dictionary as output.

json.dumps take a dictionary as input and returns a string as output.

---

With json.loads({"('Hello',)": 6, "('Hi',)": 5}),

You are calling json.loads with a dictionary as input.

You can fix it as follows (though I'm not quite sure what's the point of that):

d1 = {"('Hello',)": 6, "('Hi',)": 5}
s1 = json.dumps(d1)
d2 = json.loads(s1)

import json
data = json.load(open('/Users/laxmanjeergal/Desktop/json.json'))
jtopy=json.dumps(data) #json.dumps take a dictionary as input and returns a string as output.
dict_json=json.loads(jtopy) # json.loads take a string as input and returns a dictionary as output.
print(dict_json["shipments"])

You are passing a dictionary to a function that expects a string.

This syntax:

{"('Hello',)": 6, "('Hi',)": 5}

is both a valid Python dictionary literal and a valid JSON object literal. But loads doesn't take a dictionary; it takes a string, which it then interprets as JSON and returns the result as a dictionary (or string or array or number, depending on the JSON, but usually a dictionary).

If you pass this string to loads:

'''{"('Hello',)": 6, "('Hi',)": 5}'''

then it will return a dictionary that looks a lot like the one you are trying to pass to it.

You could also exploit the similarity of JSON object literals to Python dictionary literals by doing this:

json.loads(str({"('Hello',)": 6, "('Hi',)": 5}))

But in either case you would just get back the dictionary that you're passing in, so I'm not sure what it would accomplish. What's your goal?

json.dumps() is used to decode JSON data

import json

# initialize different data
str_data = 'normal string'
int_data = 1
float_data = 1.50
list_data = [str_data, int_data, float_data]
nested_list = [int_data, float_data, list_data]
dictionary = {
    'int': int_data,
    'str': str_data,
    'float': float_data,
    'list': list_data,
    'nested list': nested_list
}

# convert them to JSON data and then print it
print('String :', json.dumps(str_data))
print('Integer :', json.dumps(int_data))
print('Float :', json.dumps(float_data))
print('List :', json.dumps(list_data))
print('Nested List :', json.dumps(nested_list, indent=4))
print('Dictionary :', json.dumps(dictionary, indent=4))  # the json data will be indented

output:

String : "normal string"
Integer : 1
Float : 1.5
List : ["normal string", 1, 1.5]
Nested List : [
    1,
    1.5,
    [
        "normal string",
        1,
        1.5
    ]
]
Dictionary : {
    "int": 1,
    "str": "normal string",
    "float": 1.5,
    "list": [
        "normal string",
        1,
        1.5
    ],
    "nested list": [
        1,
        1.5,
        [
            "normal string",
            1,
            1.5
        ]
    ]
}

• Python Object to JSON Data Conversion

|                 Python                 |  JSON  |
|:--------------------------------------:|:------:|
|                  dict                  | object |
|               list, tuple              |  array |
|                   str                  | string |
| int, float, int- & float-derived Enums | number |
|                  True                  |  true  |
|                  False                 |  false |
|                  None                  |  null  |

json.loads() is used to convert JSON data into Python data.

import json

# initialize different JSON data
arrayJson = '[1, 1.5, ["normal string", 1, 1.5]]'
objectJson = '{"a":1, "b":1.5 , "c":["normal string", 1, 1.5]}'

# convert them to Python Data
list_data = json.loads(arrayJson)
dictionary = json.loads(objectJson)

print('arrayJson to list_data :\n', list_data)
print('\nAccessing the list data :')
print('list_data[2:] =', list_data[2:])
print('list_data[:1] =', list_data[:1])

print('\nobjectJson to dictionary :\n', dictionary)
print('\nAccessing the dictionary :')
print('dictionary[\'a\'] =', dictionary['a'])
print('dictionary[\'c\'] =', dictionary['c'])

output:

arrayJson to list_data :
 [1, 1.5, ['normal string', 1, 1.5]]

Accessing the list data :
list_data[2:] = [['normal string', 1, 1.5]]
list_data[:1] = [1]

objectJson to dictionary :
 {'a': 1, 'b': 1.5, 'c': ['normal string', 1, 1.5]}

Accessing the dictionary :
dictionary['a'] = 1
dictionary['c'] = ['normal string', 1, 1.5]

• JSON Data to Python Object Conversion

|      JSON     | Python |
|:-------------:|:------:|
|     object    |  dict  |
|     array     |  list  |
|     string    |   str  |
|  number (int) |   int  |
| number (real) |  float |
|      true     |  True  |
|     false     |  False |

Hey I recently faced this issue while reading the JSON file directly. Just putting it out here if anyone faces this issue while reading json file and then parsing it:

jsonfile = open('path/to/file.json','r')
json_data = json.load(jsonfile)

Notice that I used load() instead of loads().

I got this error while working with Django REST framework. I used the PostgreSQL materialized view built using native function json_build_object. The error disappeared when I switched to the function jsonb_build_object.