I need to merge multiple dictionaries, here\'s what I have for instance:
dict1 = {1:{\"a\":{A}}, 2:{\"b\":{B}}}
dict2 = {2:{\"c\":{C}}, 3:{\"d\":{D}}
How about another answer?!? This one also avoids mutation/side effects:
def merge(dict1, dict2):
output = {}
# adds keys from `dict1` if they do not exist in `dict2` and vice-versa
intersection = {**dict2, **dict1}
for k_intersect, v_intersect in intersection.items():
if k_intersect not in dict1:
v_dict2 = dict2[k_intersect]
output[k_intersect] = v_dict2
elif k_intersect not in dict2:
output[k_intersect] = v_intersect
elif isinstance(v_intersect, dict):
v_dict2 = dict2[k_intersect]
output[k_intersect] = merge(v_intersect, v_dict2)
else:
output[k_intersect] = v_intersect
return output
dict1 = {1:{"a":{"A"}}, 2:{"b":{"B"}}}
dict2 = {2:{"c":{"C"}}, 3:{"d":{"D"}}}
dict3 = {1:{"a":{"A"}}, 2:{"b":{"B"},"c":{"C"}}, 3:{"d":{"D"}}}
assert dict3 == merge(dict1, dict2)
This should help in merging all items from dict2
into dict1
:
for item in dict2:
if item in dict1:
for leaf in dict2[item]:
dict1[item][leaf] = dict2[item][leaf]
else:
dict1[item] = dict2[item]
Please test it and tell us whether this is what you wanted.
EDIT:
The above mentioned solution merges only one level, but correctly solves the example given by OP. To merge multiple levels, the recursion should be used.
this is actually quite tricky - particularly if you want a useful error message when things are inconsistent, while correctly accepting duplicate but consistent entries (something no other answer here does....)
assuming you don't have huge numbers of entries a recursive function is easiest:
def merge(a, b, path=None):
"merges b into a"
if path is None: path = []
for key in b:
if key in a:
if isinstance(a[key], dict) and isinstance(b[key], dict):
merge(a[key], b[key], path + [str(key)])
elif a[key] == b[key]:
pass # same leaf value
else:
raise Exception('Conflict at %s' % '.'.join(path + [str(key)]))
else:
a[key] = b[key]
return a
# works
print(merge({1:{"a":"A"},2:{"b":"B"}}, {2:{"c":"C"},3:{"d":"D"}}))
# has conflict
merge({1:{"a":"A"},2:{"b":"B"}}, {1:{"a":"A"},2:{"b":"C"}})
note that this mutates a
- the contents of b
are added to a
(which is also returned). if you want to keep a
you could call it like merge(dict(a), b)
.
agf pointed out (below) that you may have more than two dicts, in which case you can use:
reduce(merge, [dict1, dict2, dict3...])
where everything will be added to dict1.
[note - i edited my initial answer to mutate the first argument; that makes the "reduce" easier to explain]
ps in python 3, you will also need from functools import reduce
I have an iterative solution - works much much better with big dicts & a lot of them (for example jsons etc):
import collections
def merge_dict_with_subdicts(dict1: dict, dict2: dict) -> dict:
"""
similar behaviour to builtin dict.update - but knows how to handle nested dicts
"""
q = collections.deque([(dict1, dict2)])
while len(q) > 0:
d1, d2 = q.pop()
for k, v in d2.items():
if k in d1 and isinstance(d1[k], dict) and isinstance(v, dict):
q.append((d1[k], v))
else:
d1[k] = v
return dict1
note that this will use the value in d2 to override d1, in case they are not both dicts. (same as python's dict.update()
)
some tests:
def test_deep_update():
d = dict()
merge_dict_with_subdicts(d, {"a": 4})
assert d == {"a": 4}
new_dict = {
"b": {
"c": {
"d": 6
}
}
}
merge_dict_with_subdicts(d, new_dict)
assert d == {
"a": 4,
"b": {
"c": {
"d": 6
}
}
}
new_dict = {
"a": 3,
"b": {
"f": 7
}
}
merge_dict_with_subdicts(d, new_dict)
assert d == {
"a": 3,
"b": {
"c": {
"d": 6
},
"f": 7
}
}
# test a case where one of the dicts has dict as value and the other has something else
new_dict = {
'a': {
'b': 4
}
}
merge_dict_with_subdicts(d, new_dict)
assert d['a']['b'] == 4
I've tested with around ~1200 dicts - this method took 0.4 seconds, while the recursive solution took ~2.5 seconds.
take a look at toolz package
import toolz
dict1={1:{"a":"A"},2:{"b":"B"}}
dict2={2:{"c":"C"},3:{"d":"D"}}
toolz.merge_with(toolz.merge,dict1,dict2)
gives
{1: {'a': 'A'}, 2: {'b': 'B', 'c': 'C'}, 3: {'d': 'D'}}
hey there I also had the same problem but I though of a solution and I will post it here, in case it is also useful for others, basically merging nested dictionaries and also adding the values, for me I needed to calculate some probabilities so this one worked great:
#used to copy a nested dict to a nested dict
def deepupdate(target, src):
for k, v in src.items():
if k in target:
for k2, v2 in src[k].items():
if k2 in target[k]:
target[k][k2]+=v2
else:
target[k][k2] = v2
else:
target[k] = copy.deepcopy(v)
by using the above method we can merge:
target = {'6,6': {'6,63': 1}, '63,4': {'4,4': 1}, '4,4': {'4,3': 1}, '6,63': {'63,4': 1}}
src = {'5,4': {'4,4': 1}, '5,5': {'5,4': 1}, '4,4': {'4,3': 1}}
and this will become: {'5,5': {'5,4': 1}, '5,4': {'4,4': 1}, '6,6': {'6,63': 1}, '63,4': {'4,4': 1}, '4,4': {'4,3': 2}, '6,63': {'63,4': 1}}
also notice the changes here:
target = {'6,6': {'6,63': 1}, '6,63': {'63,4': 1}, '4,4': {'4,3': 1}, '63,4': {'4,4': 1}}
src = {'5,4': {'4,4': 1}, '4,3': {'3,4': 1}, '4,4': {'4,9': 1}, '3,4': {'4,4': 1}, '5,5': {'5,4': 1}}
merge = {'5,4': {'4,4': 1}, '4,3': {'3,4': 1}, '6,63': {'63,4': 1}, '5,5': {'5,4': 1}, '6,6': {'6,63': 1}, '3,4': {'4,4': 1}, '63,4': {'4,4': 1}, '4,4': {'4,3': 1, '4,9': 1}}
dont forget to also add the import for copy:
import copy