With a simple dictionary like:
myDict{\'key1\':1, \'key2\':2}
I can safely use:
print myDict.get(\'key3\')
an
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