Just adding onto alexce's response, you can easily convert the restructured data into JSON:
import json
json.dumps(result)
There are some potential security concerns with top-level arrays. I'm not sure if they're still valid with modern browsers, but you may want to consider wrapping it in an object.
import json
json.dumps({'results': result})
Answer from ngraves on Stack OverflowVideos
Just adding onto alexce's response, you can easily convert the restructured data into JSON:
import json
json.dumps(result)
There are some potential security concerns with top-level arrays. I'm not sure if they're still valid with modern browsers, but you may want to consider wrapping it in an object.
import json
json.dumps({'results': result})
To solve this, you need to split the input list into chunks, by 7 in your case. For this, let's use this approach. Then, use a list comprehension producing a list of dictionaries:
>>> from pprint import pprint
>>> l = [['String 1'],['String 2'],['String 3'],['String 4'],['String 5'],
... ['String 6'],['String 7'],['String 8'],['String 9'],['String 10'],
... ['String 11']]
>>> def chunks(l, n):
... """Yield successive n-sized chunks from l."""
... for i in range(0, len(l), n):
... yield l[i:i+n]
...
>>>
>>> result = [{"title%d" % (i+1): chunk[i][0] for i in range(len(chunk))}
for chunk in chunks(l, 7)]
>>> pprint(result)
[{'title1': 'String 1',
'title2': 'String 2',
'title3': 'String 3',
'title4': 'String 4',
'title5': 'String 5',
'title6': 'String 6',
'title7': 'String 7'},
{'title1': 'String 8',
'title2': 'String 9',
'title3': 'String 10',
'title4': 'String 11'}]
You can use a list comprehension to produce a list of dictionaries, then convert that:
json_string = json.dumps([ob.__dict__ for ob in list_name])
or use a default function; json.dumps() will call it for anything it cannot serialise:
def obj_dict(obj):
return obj.__dict__
json_string = json.dumps(list_name, default=obj_dict)
The latter works for objects inserted at any level of the structure, not just in lists.
Personally, I'd use a project like marshmallow to handle anything more complex; e.g. handling your example data could be done with
from marshmallow import Schema, fields
class ObjectSchema(Schema):
city = fields.Str()
name = fields.Str()
object_schema = ObjectSchema()
json_string = object_schema.dumps(list_name, many=True)
Similar to @MartijnPieters' answer, you can use the json.dumps default parameter with a lambda, if you don't want to have to create a separate function:
json.dumps(obj, default = lambda x: x.__dict__)
You can achieve this by using built-in json module
import json
arrayJson = json.dumps([{"email": item} for item in pyList])
Try to Google this kind of stuff first. :)
import json
array = [1, 2, 3]
jsonArray = json.dumps(array)
By the way, the result you asked for can not be achieved with the list you provided.
You need to use python dictionaries to get json objects. The conversion is like below
Python -> JSON
list -> array
dictionary -> object
And here is the link to the docs https://docs.python.org/3/library/json.html
import json
array = '{"fruits": ["apple", "banana", "orange"]}'
data = json.loads(array)
print(data['fruits'])
# the print displays:
# ['apple', 'banana', 'orange']
You had everything you needed. data will be a dict, and data['fruits'] will be a list
Tested on Ideone.
import json
array = '{"fruits": ["apple", "banana", "orange"]}'
data = json.loads(array)
fruits_list = data['fruits']
print fruits_list