{'fraction_non_alphanumeric': 0.019316493313521546, 'fraction_numerical': 0.0, 'mean_word_length': 4.964601769911504, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Research on data acquisition of novel list based on Python

Nowadays, online novels are all the rage. It is very important for online literature to understand the reading interests of modern readers. This will not only help online literature to position itself more accurately in its future development, but will also strike deep into the hearts of readers. It also helps to understand how readers have changed over the years and what they want in their novels. This research mainly uses Python’s request library, Beautiful Soup Library, numpy library, Pandas Library, Matplotlib library and Jieba library to crawl the weekly, monthly and total list of recommended tickets.