Traceback (most recent call last): File "D:\pycharm\AI\10gxx\chap4\10gxx_opinion_get.py", line 20, in <module> dat

在pandas的apply函数中，没有expand这个参数。因此需要将lambda函数中的expand参数删除。修改后的代码如下： import pandas as pd import jieba.posseg as pseg # 读取数据 data = pd.read_excel('华为.xlsx') # 定义函数，用于提取PROP和ADJ def extract_opinion(text): words = pseg.cut(text) prop_list = [] adj_list = [] for word, flag in words: if flag == 'prop': prop_list.append(word) elif flag == 'adj': adj_list.append(word) return prop_list, adj_list # 对每条评论进行观点提取，并将结果添加到新的列中 data[['PROP', 'ADJ']] = data['评价内容'].apply(lambda x: pd.Series(extract_opinion(x))) # 统计总条数和各自占比 total_count = len(data) positive_count = len(data[data['情感倾向'] == 'Positive']) neutral_count = len(data[data['情感倾向'] == 'Neutral']) negative_count = len(data[data['情感倾向'] == 'Negative']) positive_ratio = positive_count / total_count neutral_ratio = neutral_count / total_count negative_ratio = negative_count / total_count # 输出若干项抽取的PROP和ADJ print(data[['评价内容', 'PROP', 'ADJ']].head(10)) # 输出总条数和各自占比 print('总条数：', total_count) print('正向占比：', positive_ratio) print('中立占比：', neutral_ratio) print('负向占比：', negative_ratio) # 将结果保存到文件中 result = pd.DataFrame({'总条数': [total_count], '正向占比': [positive_ratio], '中立占比': [neutral_ratio], '负向占比': [negative_ratio]}) result.to_excel('10gxx_opinion.xlsx', index=False)