我有一本嵌套的字典。是否只有一种方法可以安全地传递价值观?
try:
example_dict['key1']['key2']
except KeyError:
pass
或者python有一个类似get()的方法用于嵌套字典?
我有一本嵌套的字典。是否只有一种方法可以安全地传递价值观?
try:
example_dict['key1']['key2']
except KeyError:
pass
或者python有一个类似get()的方法用于嵌套字典?
当前回答
你也可以使用python reduce:
def deep_get(dictionary, *keys):
return reduce(lambda d, key: d.get(key) if d else None, keys, dictionary)
其他回答
我已经编写了一个deepextract包,它完全符合您的要求:https://github.com/ya332/deepextract 你可以这样做
from deepextract import deepextract
# Demo: deepextract.extract_key(obj, key)
deeply_nested_dict = {
"items": {
"item": {
"id": {
"type": {
"donut": {
"name": {
"batters": {
"my_target_key": "my_target_value"
}
}
}
}
}
}
}
}
print(deepextract.extract_key(deeply_nested_dict, "my_target_key") == "my_target_value")
返回
True
你可以使用get两次:
example_dict.get('key1', {}).get('key2')
如果key1或key2不存在,则返回None。
注意,如果example_dict['key1']存在但不是dict(或具有get方法的类dict对象),仍然可能引发AttributeError。如果example_dict['key1']不可下标,你发布的try..except代码将引发TypeError。
另一个区别是try…除非在第一次丢失钥匙后立即发生短路。get调用链则不然。
如果您希望保留语法example_dict['key1']['key2'],但不希望它引发KeyErrors,那么您可以使用哈希recipe:
class Hasher(dict):
# https://stackoverflow.com/a/3405143/190597
def __missing__(self, key):
value = self[key] = type(self)()
return value
example_dict = Hasher()
print(example_dict['key1'])
# {}
print(example_dict['key1']['key2'])
# {}
print(type(example_dict['key1']['key2']))
# <class '__main__.Hasher'>
注意,当缺少一个键时,返回一个空的hash。
因为Hasher是dict的一个子类,你可以像使用dict一样使用Hasher。所有相同的方法和语法都是可用的,哈希器只是以不同的方式对待缺失的键。
你可以像这样把一个普通字典转换成哈希:
hasher = Hasher(example_dict)
并将哈希转换为普通字典一样容易:
regular_dict = dict(hasher)
另一种选择是在helper函数中隐藏丑陋的代码:
def safeget(dct, *keys):
for key in keys:
try:
dct = dct[key]
except KeyError:
return None
return dct
这样你剩下的代码就可以保持相对的可读性:
safeget(example_dict, 'key1', 'key2')
已经有很多很好的答案,但我已经提出了一个类似于JavaScript领域的lodash get的函数,它也支持通过索引进入列表:
def get(value, keys, default_value = None):
'''
Useful for reaching into nested JSON like data
Inspired by JavaScript lodash get and Clojure get-in etc.
'''
if value is None or keys is None:
return None
path = keys.split('.') if isinstance(keys, str) else keys
result = value
def valid_index(key):
return re.match('^([1-9][0-9]*|[0-9])$', key) and int(key) >= 0
def is_dict_like(v):
return hasattr(v, '__getitem__') and hasattr(v, '__contains__')
for key in path:
if isinstance(result, list) and valid_index(key) and int(key) < len(result):
result = result[int(key)] if int(key) < len(result) else None
elif is_dict_like(result) and key in result:
result = result[key]
else:
result = default_value
break
return result
def test_get():
assert get(None, ['foo']) == None
assert get({'foo': 1}, None) == None
assert get(None, None) == None
assert get({'foo': 1}, []) == {'foo': 1}
assert get({'foo': 1}, ['foo']) == 1
assert get({'foo': 1}, ['bar']) == None
assert get({'foo': 1}, ['bar'], 'the default') == 'the default'
assert get({'foo': {'bar': 'hello'}}, ['foo', 'bar']) == 'hello'
assert get({'foo': {'bar': 'hello'}}, 'foo.bar') == 'hello'
assert get({'foo': [{'bar': 'hello'}]}, 'foo.0.bar') == 'hello'
assert get({'foo': [{'bar': 'hello'}]}, 'foo.1') == None
assert get({'foo': [{'bar': 'hello'}]}, 'foo.1.bar') == None
assert get(['foo', 'bar'], '1') == 'bar'
assert get(['foo', 'bar'], '2') == None
在第一阶段,你可以得到一个空字典。
example_dict.get('key1',{}).get('key2')
def safeget(_dct, *_keys):
if not isinstance(_dct, dict): raise TypeError("Is not instance of dict")
def foo(dct, *keys):
if len(keys) == 0: return dct
elif not isinstance(_dct, dict): return None
else: return foo(dct.get(keys[0], None), *keys[1:])
return foo(_dct, *_keys)
assert safeget(dict()) == dict()
assert safeget(dict(), "test") == None
assert safeget(dict([["a", 1],["b", 2]]),"a", "d") == None
assert safeget(dict([["a", 1],["b", 2]]),"a") == 1
assert safeget({"a":{"b":{"c": 2}},"d":1}, "a", "b")["c"] == 2