remove words = ['apple','banana']

col A
apple is good

after removal

col A
is good

col removed word

apple

CodePudding user response：

import pandas as pd

remove_words = ['apple','banana']

df = pd.DataFrame([
    ['apple is good'],
    ['banana is bad'],
    ['banana is good and apple is bad']
], columns=['col A'])
print(df)

df['col removed word'] = df['col A'].apply(
    lambda t: [w for w in remove_words if w in t.split()]
)
df['col A'] = df['col A'].apply(
    lambda t: ' '.join([w for w in t.split() if w not in remove_words])
)
print(df)

prints