类似这样的东西可能会起作用，但是，必须指出的是，如果在ANY的书籍中找不到ANY的书籍详细信息，该程序将生成错误。

代码：

book_title, book_author, book_release, book_language = [],[],[],[]

# These can be reused for each book    
title = re.compile(r'Title: (.*)\n')
author = re.compile(r'Author: (.*)\n')
release_date = re.compile(r'Release Date: (.*)\s')
language = re.compile(r'Language: (.*)\n')

for n in files:
    with open(n, 'r') as text_file:
        text = text_file.read()

    book_title.append(title.search(text).group(1))
    book_author.append(author.search(text).group(1))
    book_language.append(language.search(text).group(1))
    book_release.append(release_date.search(text).group(1).split(' [')[0])

books = pd.DataFrame({"Title": book_title, "Author": book_author, 
    "Release_Date": book_release, "Language": book_language})

注：

若要处理帐簿中缺少数据的问题，可以使用以下类型的技术：

if author.search(text) is not None:
        book_author.append(author.search(text).group(1))
    else:
        book_author.append('-')