假设connectionDetails
是一个Python字典,那么重构代码的最佳,最优雅,最“pythonic”的方式是什么?
if "host" in connectionDetails:
host = connectionDetails["host"]
else:
host = someDefaultValue
答案 0 :(得分:264)
像这样:
host = connectionDetails.get('host', someDefaultValue)
答案 1 :(得分:86)
您也可以像defaultdict
那样使用:
from collections import defaultdict
a = defaultdict(lambda: "default", key="some_value")
a["blabla"] => "default"
a["key"] => "some_value"
您可以传递任何普通函数而不是lambda:
from collections import defaultdict
def a():
return 4
b = defaultdict(a, key="some_value")
b['absent'] => 4
b['key'] => "some_value"
答案 2 :(得分:24)
虽然.get()
是一个很好的习惯用法,但它比if/else
慢(并且如果在大多数情况下可以预期字典中存在密钥,则慢于try/except
:
>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
... stmt="try:\n a=d[1]\nexcept KeyError:\n a=10")
0.07691968797894333
>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
... stmt="try:\n a=d[2]\nexcept KeyError:\n a=10")
0.4583777282275605
>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
... stmt="a=d.get(1, 10)")
0.17784020746671558
>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
... stmt="a=d.get(2, 10)")
0.17952161730158878
>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
... stmt="if 1 in d:\n a=d[1]\nelse:\n a=10")
0.10071221458065338
>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
... stmt="if 2 in d:\n a=d[2]\nelse:\n a=10")
0.06966537335119938
答案 3 :(得分:18)
对于多种不同的默认值,请尝试:
connectionDetails = { "host": "www.example.com" }
defaults = { "host": "127.0.0.1", "port": 8080 }
completeDetails = {}
completeDetails.update(defaults)
completeDetails.update(connectionDetails)
completeDetails["host"] # ==> "www.example.com"
completeDetails["port"] # ==> 8080
答案 4 :(得分:7)
python词典中有一个方法可以执行此操作:dict.setdefault
connectionDetails.setdefault('host',someDefaultValue)
host = connectionDetails['host']
但是,如果尚未定义键connectionDetails['host']
,则此方法会将someDefaultValue
的值设置为host
,与问题不同。
答案 5 :(得分:6)
(这是一个迟到的答案)
另一种方法是继承dict
类并实现__missing__()
方法,如下所示:
class ConnectionDetails(dict):
def __missing__(self, key):
if key == 'host':
return "localhost"
raise KeyError(key)
示例:
>>> connection_details = ConnectionDetails(port=80)
>>> connection_details['host']
'localhost'
>>> connection_details['port']
80
>>> connection_details['password']
Traceback (most recent call last):
File "python", line 1, in <module>
File "python", line 6, in __missing__
KeyError: 'password'
答案 6 :(得分:2)
测试@Tim Pietzcker对Python 3.3.5中PyPy(5.2.0-alpha0)情况的怀疑,我发现确实同时.get()
和if
/ else
方式表现相似。实际上似乎在if / else情况下,如果条件和赋值涉及相同的键,甚至只有一次查找(与最后一次有两次查找的情况相比)。
>>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
.... stmt="try:\n a=d[1]\nexcept KeyError:\n a=10")
0.011889292989508249
>>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
.... stmt="try:\n a=d[2]\nexcept KeyError:\n a=10")
0.07310474599944428
>>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
.... stmt="a=d.get(1, 10)")
0.010391917996457778
>>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
.... stmt="a=d.get(2, 10)")
0.009348208011942916
>>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
.... stmt="if 1 in d:\n a=d[1]\nelse:\n a=10")
0.011475925013655797
>>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
.... stmt="if 2 in d:\n a=d[2]\nelse:\n a=10")
0.009605801998986863
>>>> timeit.timeit(setup="d={1:2, 3:4, 5:6, 7:8, 9:0}",
.... stmt="if 2 in d:\n a=d[2]\nelse:\n a=d[1]")
0.017342638995614834
答案 7 :(得分:1)
您可以将lamba函数用作单行。创建一个新对象connectionDetails2
,可以像函数一样访问...
connectionDetails2 = lambda k: connectionDetails[k] if k in connectionDetails.keys() else "DEFAULT"
现在使用
connectionDetails2(k)
而不是
connectionDetails[k]
如果键中有k
则返回字典值,否则返回"DEFAULT"