如何使用wordnet python从数据帧中提取反义词并将其放入另一个数据帧中。

from nltk.corpus import wordnet as wn
import pandas as pd

def get_antonyms(word):
    antonyms = []
    for syn in wn.synsets(word):
        for lemma in syn.lemmas():
            if lemma.antonyms():
                antonyms.append(lemma.antonyms()[0].name())
    return antonyms

antonyms_df = pd.DataFrame(columns=['Word', 'Antonyms'])

for index, row in df.iterrows():
    word = row['Word']
    antonyms = get_antonyms(word)
    antonyms_df = antonyms_df.append({'Word': word, 'Antonyms': antonyms}, ignore_index=True)

print(antonyms_df)

from nltk.corpus import wordnet as wn
import pandas as pd

def get_antonyms(word):
    antonyms = []
    for syn in wn.synsets(word):
        for lemma in syn.lemmas():
            if lemma.antonyms():
                antonyms.append(lemma.antonyms()[0].name())
    return antonyms

df = pd.DataFrame({'Word': ['happy', 'good', 'small']})
antonyms_df = pd.DataFrame(columns=['Word', 'Antonyms'])

for index, row in df.iterrows():
    word = row['Word']
    antonyms = get_antonyms(word)
    antonyms_df = antonyms_df.append({'Word': word, 'Antonyms': antonyms}, ignore_index=True)

print(antonyms_df)