Python – How to check if all values in list are in a dataframe column?

I have a dataframe:

data = {'X':['X', 'Y', 'Z', 'A', 'B', 'C', 'D', 'E'],
        'Year':[2015, 2016, 2017, 2018, 2015, 2019, 2020, 2021]}
 
df = pd.DataFrame(data)

And a list:

l = [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]

I want to check if ALL the values in l appear in data['Year'].

E.g. it should return False, as 2022 does not appear in data['Year']

Every example I have found only looks for one value, which I would have to loop through e.g.

2022 in data["Year"].values

Is there a simplier (faster) way of doing this?

Many thanks in advance.

>Solution :

IIUC, you could use set.issubset:

out = set(l).issubset(df['Year'])

Alternatively, you could use all:

out = all(y in df['Year'] for y in l)

Output:

False