dataclasses: how to ignore None values using asdict()?

class Car:
    brand: str
    color: str

How can I get a dict that ignore None values? Something like:

>>> car = Car(brand="Audi", color=None)
>>> asdict(car, some_option_to_ignore_none_values=True)
> {'brand': 'Audi'}


Here you go:

from dataclasses import dataclass

class Car:
    brand: str
    color: str

def asdict(o, skip_empty=False):
    return {k: v
            for k, v in o.__dict__.items()
            if not (skip_empty and v is None)}

if __name__ == '__main__':
    c = Car(brand='BMW', color=None)
    print(asdict(c, skip_empty=False))
    print(asdict(c, skip_empty=True))

which prints:

{'brand': 'BMW', 'color': None}
{'brand': 'BMW'}
Source: stackoverflow
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