To remove words from a list in pandas, you can use the Series.str.replace() method. For example, let’s say you have a Pandas Series of strings containing the words you want to remove:
import pandas as pd
# Create a sample series
s = pd.Series(['apple', 'banana', 'cherry', 'date'])
# Create a list of words to remove
words_to_remove = ['banana', 'date']
# Remove the words from the series
s = s.str.replace('|'.join(words_to_remove), '')
The str.replace() method takes a regular expression pattern as its first argument. In this case, we join the words to remove with the “|” character, which represents “or” in regular expression syntax. This creates a pattern that will match any of the words to remove. The second argument to str.replace() is the replacement string, which we leave empty to remove the words.
After running this code, the Series s will contain the following values:
0 apple
1 cherry
dtype: object
Notice that the words “banana” and “date” have been removed from the list.