I have a list of JSON objects, already sorted (by time let's say). Each JSON object has type
and status
. For example:
[
{'type': 'A', 'status': 'ok'},
{'type': 'B', 'status': 'ok'},
{'type': 'A', 'status': 'fail'}
]
I'd like to convert it to:
{
'A': ['ok', 'fail'],
'B': ['ok']
}
So of course it's an easy task but I'm looking for the Pythonic way doing that, so it will spare me a few lines of code
I don't know if there is a one-liner but you can make use of setdefault
or defaultdict
to achieve the desired result as:
data = [
{'type': 'A', 'status': 'ok'},
{'type': 'B', 'status': 'ok'},
{'type': 'A', 'status': 'fail'}
]
Using setdefault()
:
res = {}
for elt in data:
res.setdefault(elt['type'], []).append(elt['status'])
Output:
{'A': ['ok', 'fail'], 'B': ['ok']}
Using defaultdict
:
from collections import defaultdict
res = defaultdict(list)
for elt in data:
res[elt['type']].append(elt['status'])
Output:
defaultdict(<class 'list'>, {'A': ['ok', 'fail'], 'B': ['ok']})