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如果字典的键相同,如何添加字典列表的值(列表)?

[英]How do I add values (list) of a list of dictionaries if their key is same?

我有一个字典列表,

_list = [
    {"a": [1, 20, 20, 40], "b": [0, 14, 14, 28]},
    {"a": [2, 20, 20, 40], "b": [2, 14, 14, 28]},
    {"c": [1, 20, 20, 40], "d": [0, 14, 14, 28]},
]

我想合并这些字典并获得一个字典,如果键相同,我希望它们的列表值被合并,我希望最终结果是这样的:

_dict = {
    "a": [3, 40, 40, 80], 
    "b": [2, 28, 28, 56], 
    "c": [1, 20, 20, 40], 
    "d": [0, 14, 14, 28]
    }

我不知道从哪里开始以及遵循什么方法,您能帮我获得所需的输出吗? 谢谢

这是一个基本的解决方案,没有最有效但有效:

_list = [
  {"a": [1, 20, 20, 40], "b": [0, 14, 14, 28]},
  {"a": [2, 20, 20, 40], "b": [2, 14, 14, 28]},
  {"c": [1, 20, 20, 40], "d": [0, 14, 14, 28]},
]


_dict = {}

for dict_item in _list:
  for key, value in dict_item.items():
    if key in _dict:
      val = [a + b for a, b in zip(_dict[key], value)]
      _dict[key] = val
    else:
      _dict[key] = value

print(_dict)

这是 Pandas 的解决方案:

import pandas as pd

m=[{k:np.array(v) for k,v in i.items()} for i in _list]
df=pd.DataFrame(m)
df=df.fillna(0)
_dict = {i:list(sum(df[i])) for i in df.columns}

print(_dict)

输出:

{'a': [3, 40, 40, 80], 'b': [2, 28, 28, 56], 'c': [1, 20, 20, 40], 'd': [0, 14, 14, 28]}

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