Answers for "how to combine list of dictionaries in python"

how to merge a list of dictionaries in python

from collections import defaultdict
dict_list = {
	1: [{
			"x": "test_1",
			"y": 1
		},
		{
			"x": "test_2",
			"y": 1
		}, {
			"x": "test_1",
			"y": 2
		}
	],
}
print(dict_list) # {1: [{'x': 'test_1', 'y': 1}, {'x': 'test_2', 'y': 1}, {'x': 'test_1', 'y': 2}]}

data = dict()
for key, value in dict_list.items():
    tmp = defaultdict(int)
    for index, item in enumerate(value):
        tmp[item.get("x") ] += item.get("y")

    for tmp_key, tmp_value in tmp.items():
        data.setdefault(key, []).append(
            {
                "x": tmp_key,
                "y": tmp_value
            }
        )
print(data) # {1: [{'x': 'test_1', 'y': 3}, {'x': 'test_2', 'y': 1}]}

# test 1 values is added together

merge a list of dictionaries python

>>> from collections import ChainMap
>>> a = [{'a':1},{'b':2},{'c':1},{'d':2}]
>>> dict(ChainMap(*a))
{'b': 2, 'c': 1, 'a': 1, 'd': 2}

merge two list of dictionaries python with string

import pandas as pd

l1 = [{'id': 9, 'av': 4}, {'id': 10, 'av': 0}, {'id': 8, 'av': 0}]
l2 = [{'id': 9, 'nv': 45}, {'id': 10, 'nv': 0}, {'id': 8, 'nv': 30}]

df1 = pd.DataFrame(l1).set_index('id')
df2 = pd.DataFrame(l2).set_index('id')
df = df1.merge(df2, left_index=True, right_index=True)
df.T.to_dict()
# {9: {'av': 4, 'nv': 45}, 10: {'av': 0, 'nv': 0}, 8: {'av': 0, 'nv': 30}}