How do I merge a list of dicts into a single dict?
Solution 1:
This works for dictionaries of any length:
>>> result = {}
>>> for d in L:
... result.update(d)
...
>>> result
{'a':1,'c':1,'b':2,'d':2}
As a comprehension:
# Python >= 2.7
{k: v for d in L for k, v in d.items()}
# Python < 2.7
dict(pair for d in L for pair in d.items())
Solution 2:
In case of Python 3.3+, there is a ChainMap
collection:
>>> from collections import ChainMap
>>> a = [{'a':1},{'b':2},{'c':1},{'d':2}]
>>> dict(ChainMap(*a))
{'b': 2, 'c': 1, 'a': 1, 'd': 2}
Also see:
- What is the purpose of collections.ChainMap?
Solution 3:
This is similar to @delnan but offers the option to modify the k/v (key/value) items and I believe is more readable:
new_dict = {k:v for list_item in list_of_dicts for (k,v) in list_item.items()}
for instance, replace k/v elems as follows:
new_dict = {str(k).replace(" ","_"):v for list_item in list_of_dicts for (k,v) in list_item.items()}
unpacks the k,v tuple from the dictionary .items() generator after pulling the dict object out of the list
Solution 4:
Little improvement for @dietbuddha answer with dictionary unpacking from PEP 448, for me, it`s more readable this way, also, it is faster as well:
from functools import reduce
result_dict = reduce(lambda a, b: {**a, **b}, list_of_dicts)
But keep in mind, this works only with Python 3.5+ versions.
Solution 5:
For flat dictionaries you can do this:
from functools import reduce
reduce(lambda a, b: dict(a, **b), list_of_dicts)