Python学习了约一个月的时间，这是一篇综合练习的文章。主要做的内容是通过封装对象、实现抽象方法生成统计图、数据表格的功能。

文件目录如下

articles/__init__.pyarticles.jsonarticlesData.pyarticlesEchartsEntity.pyarticlesEntity.pytable_base.htmltimeline_bar_with_graphic.html

图标效果

timeline_bar_with_graphic.html

table_base.html

articles.json

是我的csdn文章的标题、得分、阅读量的数据

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"使用jenkins持续集成springboot项目（三、上服务器）","url": "https://blog.csdn.net/qq_35716085/article/details/132978301","viewCount": 20,"score": 52},{"title": "Python基础（ 七、休闲大富翁游戏）","url": "https://blog.csdn.net/qq_35716085/article/details/135000098","viewCount": 589,"score": 54},{"title": "docker学习（四、修改容器创建新的镜像推送到云上）","url": "https://blog.csdn.net/qq_35716085/article/details/134777644","viewCount": 109,"score": 54},{"title": "docker学习（十七、Dockerfile之NodeJs示例）","url": "https://blog.csdn.net/qq_35716085/article/details/135151286","viewCount": 338,"score": 56},{"title": "docker学习（八、mysql8.2主从复制遇到的问题）","url": "https://blog.csdn.net/qq_35716085/article/details/134871764","viewCount": 983,"score": 56},{"title": "Springboot集成ElasticSearch+JPA","url": "https://blog.csdn.net/qq_35716085/article/details/133878232","viewCount": 43,"score": 56},{"title": "Python基础（九、重要的全局变量）","url": "https://blog.csdn.net/qq_35716085/article/details/135194814","viewCount": 401,"score": 57},{"title": 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"https://blog.csdn.net/qq_35716085/article/details/135222946","viewCount": 473,"score": 84},{"title": "docker学习（二十一、network使用示例container、自定义）","url": "https://blog.csdn.net/qq_35716085/article/details/135218009","viewCount": 990,"score": 84},{"title": "docker学习（十九、network使用示例bridge）","url": "https://blog.csdn.net/qq_35716085/article/details/135197980","viewCount": 718,"score": 84},{"title": "Mysql事务","url": "https://blog.csdn.net/qq_35716085/article/details/131681556","viewCount": 54,"score": 84},{"title": "nginx 一、安装与conf浅析","url": "https://blog.csdn.net/qq_35716085/article/details/135337375","viewCount": 250,"score": 85},{"title": "docker学习（五、部署本地私有仓库）","url": "https://blog.csdn.net/qq_35716085/article/details/134800765","viewCount": 928,"score": 85},{"title": "服务启动时报错Communications link failure","url": "https://blog.csdn.net/qq_35716085/article/details/135057149","viewCount": 213,"score": 86},{"title": "实战之shardingjdbc引入报错Cannot invoke “Object.toString()“ because the return value of 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]

articlesData.py

这个模块相当于我要对外开放的接口汇总，其中包含了：

• init：构造函数
• time_bar：生成统计图的对外接口，最后会给返回统计图的位置，浏览器打开html即可看到统计图
• table_file：生成表格的对外接口，最后会给返回表格的位置，浏览器打开html即可看到表格
• __read_file：读取json文件的私有方法
• __format_file_data：解析json文件数据，提供给表格用
• __format_time_bar_data：解析json文件数据，提供给统计图用

import jsonimport articlesEntity
from articles import articlesEchartsEntityclass OpenFile:def __init__(self, path):self.path = path# 获取数据中标题、数量、分数def time_bar(self):if None == self.path:return "路径不能为空"json_data = self.__read_file()data_list, title_list, count_dict, score_dict = self.__format_time_bar_data(json_data)path = articlesEchartsEntity.ArticlesEcharts().time_bar(title_list, count_dict, score_dict)return print(f"已生成<a href='{path}'>超全功能统计图</a>")# 解析文件，获取数据def table_file(self):if None == self.path:return "路径不能为空"json_data = self.__read_file()data_list = self.__format_file_data(json_data)path = articlesEntity.Articles().articles_table(data_list)return print(f"已生成<a href='{path}'>表格</a>")# 读取文件def __read_file(self):with open(self.path, "r") as file:json_data: list = json.loads(file.read())return json_data# 解析全部数据def __format_file_data(self, json_data):data_list = []for data in json_data:articles = articlesEntity.Articles(data["title"], data["url"], data["viewCount"],data["score"])data_list.append(articles)return data_list# 解析折线图数据def __format_time_bar_data(self, json_data):data_list = []title_list = []count_dict = {}score_dict = {}count_list = []score_list = []# 计数器count = 1# 月份month = 0for data in json_data:articlesEcharts = articlesEchartsEntity.ArticlesEcharts(data["title"], data["viewCount"],data["score"])data_list.append(articlesEcharts)title_list.append(data["title"])if count <= 8:count_list.append(data["viewCount"])score_list.append(data["score"])count += 1else:month += 1count_dict[month] = count_listscore_dict[month] = score_listcount_list = []score_list = []count = 1return data_list, title_list[:8], count_dict, score_dictif __name__ == "__main__":openFile = OpenFile("D:/test/demo/articles/articles.json")print(openFile.table_file())print(openFile.time_bar())

articlesEchartsEntity.py

在这个文件中封装了articlesEchartsEntity对象，包含：

• EchartsData：抽象类，用于写支持的统计图
  • time_bar：支持时间柱状图
• ArticlesEcharts：实现抽象类
  • init：构造函数
  • time_bar：实现抽象方法，生成统计图

from articles.articlesEntity import Articles
from pyecharts import options as opts
from pyecharts.charts import Bar, Timeline
from pyecharts.commons.utils import JsCode
from abc import ABC, abstractmethodclass EchartsData(ABC):@abstractmethoddef time_bar(self, *args):passclass ArticlesEcharts(Articles, EchartsData):def __init__(self, title=None, viewCount=None, score=None):super().__init__(title, viewCount, score)if title is not None:self.title = titleif viewCount is not None:self.viewCount = viewCountif score is not None:self.score = scoredef time_bar(self, x, score_y, count_y):tl = Timeline()for i in range(1, 10):bar = (Bar().add_xaxis(x).add_yaxis("阅读量", count_y[i]).add_yaxis("分数", score_y[i]).set_global_opts(title_opts=opts.TitleOpts("文章2023年 - With Graphic 组件"),graphic_opts=[opts.GraphicGroup(graphic_item=opts.GraphicItem(rotation=JsCode("Math.PI / 4"),bounding="raw",right=100,bottom=110,z=100,),children=[opts.GraphicRect(graphic_item=opts.GraphicItem(left="center", top="center", z=100),graphic_shape_opts=opts.GraphicShapeOpts(width=400, height=50),graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(fill="rgba(0,0,0,0.3)"),),opts.GraphicText(graphic_item=opts.GraphicItem(left="center", top="center", z=100),graphic_textstyle_opts=opts.GraphicTextStyleOpts(text="文章{}月".format(i),font="bold 26px Microsoft YaHei",graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(fill="#fff"),),),],)],))tl.add(bar, "{}月".format(i))path = "D:/test/demo/articles/timeline_bar_with_graphic.html"tl.render(path)return path

articlesEntity.py

这是文章对象，其中包含的函数：

• init：构造函数
• str：魔法函数，输出字符串
• articles_table：生成表格的方法
• __format_list：格式化数据，提供给表格用，私有方法

from pyecharts.components import Table
from pyecharts.options import ComponentTitleOptsclass Articles:def __init__(self, title=None, url=None, viewCount=None, score=None):if title is not None:self.title = titleif url is not None:self.url = urlif viewCount is not None:self.viewCount = viewCountif score is not None:self.score = scoredef __str__(self):print(f"<a href='{self.url}'>{self.title}</a>可通过链接查看详细内容~")def articles_table(self, data_list):header_list = ["标题", "统计分数", "统计阅读数","地址"]table = Table()rows_list_list = self.__format_list(data_list)table.add(header_list, rows_list_list)table.set_global_opts(title_opts=ComponentTitleOpts(title="Table-文章数据统计"))path = "D:/test/demo/articles/table_base.html"table.render("table_base.html")return pathdef __format_list(self, data_list):rows_list_list = []for articles in data_list:rows_list = []rows_list.append(articles.title)rows_list.append(articles.score)rows_list.append(articles.viewCount)rows_list.append(articles.url)rows_list_list.append(rows_list)return rows_list_list