Regex to cut last one or two digits from string in dataframe

I have data like that:
App2Aa1
Cry10Aa4
Cry2Ac10

I want output like:
App2Aa
Cry10Aa
Cry2Ac

I tried regex

data['id'] = data['id'].str.replace(r'[a-zA-Z][0-9][0-9][a-zA-Z]\d+', r'[a-zA-Z]+[0-9][0-9]\w\w', regex=False)

My case is to Cut one or two digits and make record shorter

>Solution :

I think you want to just strip all trailing digits. If so, then we can use str.replace with the regex pattern \d+$:

data["id"] = data["id"].str.replace(r'\d+$', '', regex=True)