I'm trying to convert a dictionary to bytes but facing issues in converting it to a correct format.
First, I'm trying to map an dictionary with an custom schema. Schema is defined as follows -
class User:
def __init__[self, name=None, code=None]:
self.name = name
self.code = code
class UserSchema:
name = fields.Str[]
code = fields.Str[]
@post_load
def create_userself, data]:
return User[**data]
My Dictionary structure is as follows-
user_dict = {'name': 'dinesh', 'code': 'dr-01'}
I'm trying to map the dictionary to User schema with the below code
schema = UserSchema[partial=True]
user = schema.loads[user_dict].data
While doing, schema.loads expects the input to be str, bytes or bytearray. Below are the steps that I followed to convert dictionary to Bytes
import json
user_encode_data = json.dumps[user_dict].encode['utf-8']
print[user_encode_data]
Output:
b'{"name ": "dinesh", "code ": "dr-01"}
If I try to map with the schema I'm not getting the required schema object. But, if I have the output in the format given below I can able to get the correct schema object.
b'{\n "name": "dinesh",\n "code": "dr-01"}\n'
Any suggestions how can I convert a dictionary to Bytes?
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Interconversion between data is quite popular and this particular article discusses about how interconversion of dictionary into bytes and vice versa can be obtained. Let’s look at the method that can help us achieve this particular task.
Method : Using encode[] + dumps[] + decode[] + loads[]
The encode and dumps function together performs the task of converting the dictionary to string and then to corresponding byte value. This can be interconverted using the decode and loads function which returns the string from bytes and converts that to the dictionary again.
import
json
test_dict
=
{
'Gfg'
:
1
,
'is'
:
2
,
'best'
:
3
}
print
[
"The original dictionary is : "
+
str
[test_dict]]
res_bytes
=
json.dumps[test_dict].encode[
'utf-8'
]
print
[
"The type after conversion to bytes is : "
+
str
[
type
[res_bytes]]]
print
[
"The value after conversion to bytes is : "
+
str
[res_bytes]]
res_dict
=
json.loads[res_bytes.decode[
'utf-8'
]]
print
[
"The type after conversion to dict is : "
+
str
[
type
[res_dict]]]
print
[
"The value after conversion to dict is : "
+
str
[res_dict]]
Output :
The original dictionary is : {'Gfg': 1, 'best': 3, 'is': 2} The type after conversion to bytes is : The value after conversion to bytes is : b'{"Gfg": 1, "best": 3, "is": 2}' The type after conversion to dict is : The value after conversion to dict is : {'Gfg': 1, 'best': 3, 'is': 2}
You can use Base64 library to convert string dictionary to bytes, and although you can convert bytes result to a dictionary using json library. Try this below sample code.,While doing, schema.loads expects the input to be str, bytes or bytearray. Below are the steps that I followed to convert dictionary to Bytes,I'm trying to convert a dictionary to bytes but facing issues in converting it to a correct format. ,Trending sort is based off of the default sorting method —
by highest score — but it boosts votes that have happened recently, helping to surface more up-to-date answers. You can use indent
option in json.dumps[]
to obtain \n
symbols:import json
user_dict = {
'name': 'dinesh',
'code': 'dr-01'
}
user_encode_data = json.dumps[user_dict, indent = 2].encode['utf-8']
print[user_encode_data]
Output:
b '{\n "name": "dinesh",\n "code": "dr-01"\n}'
You can use Base64 library to convert string dictionary to bytes, and although you can convert bytes result to a dictionary using json library. Try this below sample code.
import base64 import json input_dict = { 'var1': 0, 'var2': 'some string', 'var1': ['listitem1', 'listitem2', 5] } message = str[input_dict] ascii_message = message.encode['ascii'] output_byte = base64.b64encode[ascii_message] msg_bytes = base64.b64decode[output_byte] ascii_msg = msg_bytes.decode['ascii'] # Json library convert stirng dictionary to real dictionary type. # Double quotes is standard format for json ascii_msg = ascii_msg.replace["'", "\""] output_dict = json.loads[ascii_msg] # convert string dictionary to dict format # Show the input and output print["input_dict:", input_dict, type[input_dict]] print[] print["base64:", output_byte, type[output_byte]] print[] print["output_dict:", output_dict, type[output_dict]]
Method : Using encode[] + dumps[] + decode[] + loads[]The encode and dumps function together performs the task of converting the dictionary to string and then to corresponding byte value. This can be interconverted using the decode and loads function which returns the string from bytes and converts that to the dictionary again.,Python | Convert key-value pair comma separated string into dictionary,Python | Convert string dictionary to dictionary,Python | Convert byteString key:value pair of dictionary to String
The original dictionary is : {'Gfg': 1, 'best': 3, 'is': 2} The type after conversion to bytes is : The value after conversion to bytes is : b'{"Gfg": 1, "best": 3, "is": 2}' The type after conversion to dict is : The value after conversion to dict is : {'Gfg': 1, 'best': 3, 'is': 2}
Search Answer Titles
# credit to the Stack Overflow user in the source linnk # Python3 import ast byte_str = b "{'one': 1, 'two': 2}" dict_str = byte_str.decode["UTF-8"] my_data = ast.literal_eval[dict_str] print[repr[my_data]] >>> { 'one': 1, 'two': 2 }
# You can use indent option in json.dumps[] to obtain\ n symbols: import json user_dict = { 'name': 'dinesh', 'code': 'dr-01' } user_encode_data = json.dumps[user_dict, indent = 2].encode['utf-8'] print[user_encode_data] # Output: b '{\n "name": "dinesh",\n "code": "dr-01"\n}'
Any suggestions how can I convert a dictionary to Bytes?,While doing, schema.loads expects the input to be str, bytes or bytearray. Below are the steps that I followed to convert dictionary to Bytes,I'm trying to convert a dictionary to bytes but facing issues in converting it to a correct format. ,I'm trying to map the dictionary to User schema with the below code
First, I'm trying to map an dictionary with an custom schema. Schema is defined as follows -
class User: def __init__[self, name = None, code = None]: self.name = name self.code = code class UserSchema: name = fields.Str[] code = fields.Str[] @post_load def create_userself, data]: return User[ ** data]
My Dictionary structure is as follows-
user_dict = { 'name': 'dinesh', 'code': 'dr-01' }
I'm trying to map the dictionary to User schema with the below code
schema = UserSchema[partial = True] user = schema.loads[user_dict].data
You can use indent
option in json.dumps[]
to obtain \n
symbols:
import json user_dict = { 'name': 'dinesh', 'code': 'dr-01' } user_encode_data = json.dumps[user_dict, indent = 2].encode['utf-8'] print[user_encode_data]
Output:
b '{\n "name": "dinesh",\n "code": "dr-01"\n}'
1 # credit to the Stack Overflow user in the source linnk 2 # Python3 3 4 import ast 5 6 byte_str = b "{'one': 1, 'two': 2}" 7 dict_str = byte_str.decode["UTF-8"] 8 my_data = ast.literal_eval[dict_str] 9 10 print[repr[my_data]] 11 >>> { 'one': 1, 'two': 2 }
1 # You can use indent option in json.dumps[] to obtain\ n symbols: 2 3 import json 4 5 user_dict = { 'name': 'dinesh', 'code': 'dr-01' } 6 user_encode_data = json.dumps[user_dict, indent = 2].encode['utf-8'] 7 print[user_encode_data] 8 9 # Output: 10 b '{\n "name": "dinesh",\n "code": "dr-01"\n}'
The byte string in python is a string presentd with letter b prefixed on it. In this article we will see how to convert a dictionary with the bytecode string into a normal dictionary which represents only strings.,How to convert the string representation of a dictionary to a dictionary in python?,How to convert a String representation of a Dictionary to a dictionary in Python?,Convert string dictionary to dictionary in Python
bstring = { b 'day': b 'Tue', b 'time': b '2 pm', b 'subject': b 'Graphs' } print[bstring] # Use decode stringA = { y.decode['ascii']: bstring.get[y].decode['ascii'] for y in bstring.keys[] } # Result print[stringA]
Running the above code gives us the following result −
{ 'subject': 'Graphs', 'day': 'Tue', 'time': '2 pm' } { u 'time': u '2 pm', u 'day': u 'Tue', u 'subject': u 'Graphs' }
bstring = { b 'day': b 'Tue', b 'time': b '2 pm', b 'subject': b 'Graphs' } print[bstring] # Use decode stringA = {} for key, value in bstring.items[]: stringA[key.decode["utf-8"]] = value.decode["utf-8"] # Result print[stringA]
Let us see how to convert Python dictionary to byte array.,Let us see how to convert a dictionary to an array in Python,Python convert dictionary to byte array,Let us see how to convert a dictionary to a 2-dimensional array.
Here is the Syntax of dict.items[] method
Let’s take an example and check how to convert a dictionary to an array by using dict.items[] method
import numpy as np new_dictionary = { "Micheal": 18, "Elon": 17 } new_lis = list[new_dictionary.items[]] con_arr = np.array[new_lis] print["Convert dict to arr:", con_arr]
Here is the Syntax of numpy.array[]
numpy.array[ object, dtype = None, copy = True, order = 'K', subok = False, ndim = 0, like = None ]
The bytes[] method returns a bytes object of the given size and initialization values.,The bytes[] method returns an immutable bytes object initialized with the given size and data.,bytes[] method returns a bytes object which is an immutable [cannot be modified] sequence of integers in the range 0 >> { 'one': 1, 'two': 2 }
# You can use indent option in json.dumps[] to obtain\ n symbols: import json user_dict = { 'name': 'dinesh', 'code': 'dr-01' } user_encode_data = json.dumps[user_dict, indent = 2].encode['utf-8'] print[user_encode_data] # Output: b '{\n "name": "dinesh",\n "code": "dr-01"\n}'