一种更优雅的方法，根据值与类中每个字典中相同键的值分离字典列表

Question

I get a return of a list of dict(s), from a program, that have the same key in each dict, I would like to set a class attribute list based on the :value in each. The dict list can have multiple same values

[
    {"key":"value"}, 
    {"key":"differentvalue"}, 
    {"key":"value"}, 
    {"key":"newValue"}, 
    {"key":"newValue"}
]

now i have a class like this `

class DynamicAttributesFromDict:
    def __init__(self, listed):
        for i in range(len(listed)):
            name = listed[i]["key"]
            p = getattr(self, name, [])
            p.append(listed[i])
            setattr(self, name, p)

I have it this way so i can access certain lists of dicts by obj.newValue or obj.value etc. This is just an example the real dicts in the list are much more longer and created from a program.

Should I use hasattr first to check for the attribute and the getattr to append?

The above works, but it seems sketchy

Kind of new to python classes, so any help would be appreciated

Edit:

a better representation I think

from pprint import pprint
listdict = [
    {"key":"value", "difkey":"something"}, 
    {"key":"differentvalue", "xkey":"yvalue"}, 
    {"key":"value"}, 
    {"key":"newValue"}, 
    {"key":"newValue"}
]

class DynamicAttributesFromDict:
    def __init__(self, listed):
        for i in range(len(listed)):
            name = listed[i]["key"]
            p = getattr(self, name, [])
            p.append(listed[i])
            setattr(self, name, p)

f = DynamicAttributesFromDict(listdict)
pp(f.value)
pp(f.differentvalue)
pp(f.newValue)

Answer 1

filter(lambda x: x['key'] == 'value', my_data)

Outputs a generator object that turns into a list like this:

[{'key': 'value'}, {'key': 'value'}]

Or we could do a list comprehension:

[d for d in my_data if d['key'] == 'value']

I'm rereading your question to make sure I answered it properly, and I'm not sure I did. Let me know if you're looking for something else.