dict.get
accepts additional default
parameter. The value
is returned instead of None
if there's no such key.
print myDict.get('key1', {}).get('attr3')
Вопрос
With a simple dictionary like:
myDict = {'key1':1, 'key2':2}
I can safely use:
print myDict.get('key3')
and even while 'key3' is not existent no errors will be thrown since .get() still returns None.
Now how would I achieve the same simplicity with a nested keys dictionary:
myDict={}
myDict['key1'] = {'attr1':1,'attr2':2}
The following will give a KeyError:
print myDict.get('key1')['attr3']
This will go through:
print myDict.get('key1').get('attr3')
but it will fail with adn AttributeError: 'NoneType' object has no attribute 'get':
print myDict.get('key3').get('attr1')
Решение
dict.get
accepts additional default
parameter. The value
is returned instead of None
if there's no such key.
print myDict.get('key1', {}).get('attr3')
Другие советы
There is a very nice blog post from Dan O'Huiginn on the topic of nested dictionaries. He ultimately suggest subclassing dict with a class that handles nesting better. Here is the subclass modified to handle your case trying to access keys of non-dict values:
class ndict(dict):
def __getitem__(self, key):
if key in self: return self.get(key)
return self.setdefault(key, ndict())
You can reference nested existing keys or ones that don't exist. You can safely use the bracket notation for access rather than .get(). If a key doesn't exist on a NestedDict object, you will get back an empty NestedDict object. The initialization is a little wordy, but if you need the functionality, it could work out for you. Here are some examples:
In [97]: x = ndict({'key1': ndict({'attr1':1, 'attr2':2})})
In [98]: x
Out[98]: {'key1': {'attr1': 1, 'attr2': 2}}
In [99]: x['key1']
Out[99]: {'attr1': 1, 'attr2': 2}
In [100]: x['key1']['key2']
Out[100]: {}
In [101]: x['key2']['key2']
Out[101]: {}
In [102]: x['key1']['attr1']
Out[102]: 1
Use exceptions:
try:
print myDict['key1']['attr3']
except KeyError:
print "Can't find my keys"
That's normal since key3 doesn't exist so
myDict.get('key3')
returns none..
NoneType object has no attribute..
So you have to store the value of myDict.get('key3'), test if it's not null and then use the get method on the stored item
NestedDict
allows you to handle nested dictionaries with the same interface of a standard dictionary.
from ndicts.ndicts import NestedDict
my_dict = {'key1': {'attr1': 1,'attr2': 2}
nd = NestedDict(my_dict)
>>> nd.get(("key1", "attr3"), "not found")
'not found'
>>> nd.get(("key3", "attr1"), "not found")
'not found'
To install ndicts
pip install ndicts
I improve the solution proposed by jxstandford to handle list in dict.
class NestedDict(dict):
def __getitem__(self, key):
if key in self:
return self.to_nested(self.get(key))
return self.setdefault(key, NestedDict())
@staticmethod
def to_nested(obj: Any) -> Any:
if not obj:
return NestedDict()
if isinstance(obj, dict):
return NestedDict(obj)
if isinstance(obj, list):
return list(map(NestedDict.to_nested, obj))
return obj
So it can handle dict like that :
foo = {"bar": [{"a:":3}]}
{} == foo["bar"][0]["b"]