How To Avoid Error On Missing Keys When Using Dict Comprehension

How do I ignore missing keys in a pd.DataFrame.from_dict comprehension iteration? @jezrael kindly answered my problem on making a df with dictionary values here: https://stackoverf

Solution 1:

The link's OK - it's in Stackoverflow and isn't going anywhere.

Meet the dict.get method. By way of a pre-amble, this is almost everything you need to know about it:

>>>d = {'present': 'real_value'}>>>d.get('present')
'real_value'
>>>d.get('absent') isNone
True
>>>d.get('absent', 'default')
'default'

You should find that the modified comprehension

{k: dict(v['fees']) for k, v in d.items() if v.get('fees') is not None}

serves your needs, but this is untested code. Possibly more readable is

{k: dict(v['fees']) for k, v in d.items() if 'fees' in v}

Solution 2:

There's a couple different ways to solve this.

One way is to use a tryexcept statement to catch the error.

Another way is to test is the key is in the dict key in dict.

Another would be to use the dict's get method dict.get(key, default = None) where the default option will return None if the value is not found or you can set it to want you need.