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本文主要介绍Python合并两个拥有相同key的字典,根据字典的key做关联,两个字典的value分别做合成后的字典的key和value,示例代码如下:
d = { 94111: {'a': 5,  'b': 7,  'd': 7}, 
95413: {'a': 6, 'd': 4},
84131: {'a': 5, 'b': 15, 'c': 10, 'd': 11},
73173: {'a': 15, 'c': 10, 'd': 15},
80132: {'b': 7, 'c': 7, 'd': 7} }
states = {94111: "TX", 84131: "TX", 95413: "AL", 73173: "AL", 80132: "AL"}

合成后的字典

{'TX': {'a': 10, 'b': 22, 'd': 18, 'c': 10}, 'AL': {'a': 21, 'd': 26, 'c': 17, 'b': 7}}

1、使用collections实现

from collections import defaultdict, Counter
d = { 94111: {'a': 5, 'b': 7, 'd': 7},
95413: {'a': 6, 'd': 4},
84131: {'a': 5, 'b': 15, 'c': 10, 'd': 11},
73173: {'a': 15, 'c': 10, 'd': 15},
80132: {'b': 7, 'c': 7, 'd': 7} }
states = {94111: "TX", 84131: "TX", 95413: "AL", 73173: "AL", 80132: "AL"}
result = defaultdict(Counter)
for k,v in d.items():
if k in states:
result[states[k]] += Counter(v)
print(result)

输出:

defaultdict(<class 'collections.Counter'>, {'AL': Counter({'d': 26, 'a': 21, 'c': 17, 'b': 7}), 
'TX': Counter({'b': 22, 'd': 18, 'a': 10, 'c': 10})})

2、使用字典推导和for循环实现

d = { 94111: {'a': 5,  'b': 7,  'd': 7},                                                                                                                                                
95413: {'a': 6, 'd': 4},
84131: {'a': 5, 'b': 15, 'c': 10, 'd': 11},
73173: {'a': 15, 'c': 10, 'd': 15},
80132: {'b': 7, 'c': 7, 'd': 7} }
states = {94111: "TX", 84131: "TX", 95413: "AL", 73173: "AL", 80132: "AL"}
out = {i: 0 for i in states.values()}
for key, value in d.items():
if key in states:
if not out[states[key]]:
out[states[key]] = value
else:
for k, v in value.items():
if k in out[states[key]]:
out[states[key]][k] += v
else:
out[states[key]][k] = v
# out -> {'TX': {'a': 10, 'b': 22, 'd': 18, 'c': 10}, 'AL': {'a': 21, 'd': 26, 'c': 17, 'b': 7}}