I have a list of dicts:
a =[{'id': 1,'desc': 'smth'},
{'id': 2,'desc': 'smthelse'},
{'id': 1,'desc': 'smthelse2'},
{'id': 1,'desc': 'smthelse3'}]
I would like to go trough the list and find those dicts that have the same id
value (eg id=1
) and create a new dict:
b = [{'id':1, 'desc' : [smth, smthelse2,smthelse3]},
{'id': 2, 'desc': 'smthelse'}]
You can try:
import operator, itertools
key = operator.itemgetter('id')
b = [{'id': x, 'desc': [d['desc'] for d in y]}
for x, y in itertools.groupby(sorted(a, key=key), key=key)]
It is better to keep the "desc" values as lists everywhere even if they contain a single element only. This way you can do
for d in b:
print d['id']
for desc in d['desc']:
print desc
This would work for strings too, just returning individual characters, which is not what you want.
And now the solution giving you a list of dicts of lists:
a =[{'id': 1,'desc': 'smth'},{'id': 2,'desc': 'smthelse'},{'id': 1,'desc': 'smthelse2'},{'id': 1,'desc': 'smthelse3'}]
c = {}
for d in a:
c.setdefault(d['id'], []).append(d['desc'])
b = [{'id': k, 'desc': v} for k,v in c.iteritems()]
b
is now:
[{'desc': ['smth', 'smthelse2', 'smthelse3'], 'id': 1},
{'desc': ['smthelse'], 'id': 2}]
from collections import defaultdict
d = defaultdict(list)
for x in a:
d[x['id']].append(x['desc']) # group description by id
b = [dict(id=id, desc=desc if len(desc) > 1 else desc[0])
for id, desc in d.items()]
To preserve order:
b = []
for id in (x['id'] for x in a):
desc = d[id]
if desc:
b.append(dict(id=id, desc=desc if len(desc) > 1 else desc[0]))
del d[id]
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