python JSON object must be str, bytes or bytearray, not 'dict
in stackoverflow ∙
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∙ Tags: Python, Json, Dictionary
python JSON object must be str, bytes or bytearray, not ‘dict
Question by barak manos
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 works, this happens:
TypeError: the JSON object must be str, bytes or bytearray, not ‘dict’
Answer by barak manos
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)
Answer by Milovan Tomašević
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 |
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