Python技能树练习——统计词频

目录

一、题目

二、已有代码，完善TODO部分 

三、代码问题+结论

3.1 get()自己设置返回值

3.2 values() 与 list() 

3.3 min()

3.4 sort()的key=lambda

3.5 list[0:5] 

3.6 print(f'

3.7 append()

3.8 join()函数是 split() 方法的逆方法

---

一、题目

请编写一段单词统计Python代码，统计下面两个Python三引号字符串里英文单词的词频。要求：

• 单词请忽略大小写
  使用数组splits = ['\n', ' ', '-', ':', '/', '*', '_', '(', ')', '"', '”', '“',']','[']来切割单词
  输出词频最高的5个单词和词频信息

'''
* Python 代码风格指南',
    * [google-python-styleguide_zh_cn](https://zh-google-styleguide.readthedocs.io/en/latest/google-python-styleguide/python_style_rules /)
    * [PEP8](https://legacy.python.org/dev/peps/pep-0008/)
* 代码风格和自动完成工具链
    * 基本工具
        * [pylint](https://pylint.org/)
        * [autopep8](https://pypi.org/project/autopep8/)
    * Visual Studio Code Python 开发基本插件
        * Pylance
        * Python Path
        * Python-autopep8
'''

 '''
Every major open-source project has its own style guide: a set of conventions (sometimes arbitrary) about how to write code for that project. It is much easier to understand a large codebase when all the code in it is in a consistent style.

“Style” covers a lot of ground, from “use camelCase for variable names” to “never use global variables” to “never use exceptions.” This project (google/styleguide) links to the style guidelines we use for Google code. If you are modifying a project that originated at Google, you may be pointed to this page to see the style guides that apply to that project.

This project holds the C++ Style Guide, C# Style Guide, Swift Style Guide, Objective-C Style Guide, Java Style Guide, Python Style Guide, R Style Guide, Shell Style Guide, HTML/CSS Style Guide, JavaScript Style Guide, TypeScript Style Guide, AngularJS Style Guide, Common Lisp Style Guide, and Vimscript Style Guide. This project also contains cpplint, a tool to assist with style guide compliance, and google-c-style.el, an Emacs settings file for Google style.
'''

预期结果：

二、已有代码，完善TODO部分 

def top_words(splits, text, top_n=5):
    i = 0
    word_dict = {}
    chars = []
    while i < len(text):
        c = text[i]
        if c in splits:
            # 过滤掉分隔字符串
            while i+1 < len(text) and text[i+1] in splits:
                i += 1
            word = ''.join(chars).lower()

            # 统计词频
            # TODO(You): 请在此添加代码
            word_info = word_dict.get(word)
            if word_info is None:
                word_info = {'word': word, 'count': 1}
                word_dict[word] = word_info
            else:
                word_info['count'] += 1
            chars = []
        else:
            chars.append(c)
                                     
        i += 1

    word_list = list(word_dict.val