Is it possible to calculate the number of common items in a list column, between a row and the previous row in the method chain?
My code below throws and error ‘TypeError: unhashable type: ‘list”

import pandas as pd

df = pd.DataFrame({
    'x':[1,2,3,4],
    'list_column': [
        ['apple', 'banana', 'cherry'],
        ['banana', 'cherry'],
        ['cherry', 'date', 'fig'],
        ['orange']
    ]
})

res = len(set(df.loc[1,'list_column']) & set(df.loc[0,'list_column']))
res

df=(df
     .assign(
         list_length=lambda x: x['list_column'].str.len(),
         nr_common=lambda x: (set(x['list_column']) & set(x['list_column'].shift(1))).len() 
         )
)

df