Example 1: 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}
Example 2: python merge dictionaries
dict1 = {'color': 'blue', 'shape': 'square'}
dict2 = {'color': 'red', 'edges': 4}
dict1.update(dict2)
Example 3: python merge dictionaries
def merge_dictionaries(a, b):
return {**a, **b}
def merge_dictionaries(a, b):
c = a.copy()
c.update(b)
return c
a = { 'x': 1, 'y': 2}
b = { 'y': 3, 'z': 4}
print(merge_dictionaries(a, b))
Example 4: 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)
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)
Example 5: 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()