python - Combine pandas DataFrame query() method with isin()

Question

So I want to use isin() method with df.query(), to select rows with id in a list: id_list. Similar question was asked before, but they used typical df[df['id'].isin(id_list)] method. I'm wondering if there is a way to use df.query() instead.

df = pd.DataFrame({'a': list('aabbccddeeff'), 'b': list('aaaabbbbcccc'),
                   'c': np.random.randint(5, size=12),
                   'd': np.random.randint(9, size=12)})

id_list = ["a", "b", "c"]

And this yields an error

df.query('a == id_list')

Answer 1

You can also include the list within the query string:

>>> df.query('a in ["a", "b", "c"]')

This is the same as:

>>> df.query('a in @id_list')