更新 python 中的元组列表

Question

I have a dataframe where each row is a list of tuples, such as

[('This', 'DET'), ('is', 'VERB'), ('an', 'DET'), ('example', 'NOUN'), ('text', 'NOUN'), ('that', 'DET'), ('I', 'PRON'), ('use', 'VERB'), ('in', 'ADP'), ('order', 'NOUN'), ('to', 'PART'), ('get', 'VERB'), ('an', 'DET'), ('answer', 'NOUN')]

Then, in each row, I mark the words of some tuples with <IN>word</IN> or <TA>word</TA> . For example:

updated_word : <IN>example</IN>
updated_word  : <TA>answer</TA>

I want to update each row of the dataframe so that it contains the updated version of my tuples, and have something like:

[('This', 'DET'), ('is', 'VERB'), ('an', 'DET'), ('<IN>example</IN>', 'NOUN'), ('text', 'NOUN'), ('that', 'DET'), ('I', 'PRON'), ('use', 'VERB'), ('in', 'ADP'), ('order', 'NOUN'), ('to', 'PART'), ('get', 'VERB'), ('an', 'DET'), ('<TA>answer</TA>', 'NOUN')]

I have managed to update each tuple separately, but I cannot find a way to append them to the dataframe row and have the updated list of tuples per row. Can someone help me?

Here is the code:

cols = list(df.columns)[4:]
for idx, row in df.iterrows():
    doc = nlp(row['title'])
    pos_tags = [(token.text, token.pos_) for token in doc if not token.pos_ == "PUNCT"]

    for position, tuple_ in enumerate(pos_tags, start=1):
        word = tuple_[0]
        spacy_pos_tag = tuple_[1]
        word = re.sub(r'[^\w\s]', '', word)
        for col in cols:
           if position in row[col]:
              word = f'<{col.upper()}>{word}</{col.upper()}>'
           else:
              word = word
         new_text.append(' '.join(word))
         tuple_ = (word, spacy_pos_tag)
        pos_tags[position] = tuple_
df['title'] = pos_tags
print(df.title)

UPDATE

I used @Peter White 's suggestion to get the list of tuples, but I still get an error when I want to append each pos_tags list of tuples into each row of my dataframe column named df['title'] . The error message is:

    raise ValueError(
 ValueError: Length of values (23) does not match length of index (500)

Answer 1

Put pos_tags[position] = tuple_? at the end, and remove the start=1 from enumerate:

cols = list(df.columns)[4:]
for idx, row in df.iterrows():
    doc = nlp(row['title'])
    pos_tags = [(token.text, token.pos_) for token in doc if not token.pos_ == "PUNCT"]

    for position, tuple_ in enumerate(pos_tags):
        word = tuple_[0]
        spacy_pos_tag = tuple_[1]
        word = re.sub(r'[^\w\s]', '', word)
        for col in cols:
           if position in row[col]:
              word = f'<{col.upper()}>{word}</{col.upper()}>'
           else:
              word = word
         new_text.append(' '.join(word))
         tuple_ = (word, spacy_pos_tag)
         print(tuple_)
         pos_tags[position] = tuple_