python Echarts服务加图表绘制

import http.server
import socketserver

PORT = 8001

Handler = http.server.SimpleHTTPRequestHandler

with socketserver.TCPServer(("127.0.0.1", PORT), Handler) as httpd:
    print(f"Serving at port {PORT}")
    httpd.serve_forever()

echarts 图表代码 （收入与与利润）

     
    
    
    


    
收入和成本图表
    
    

    显示收入
    显示成本
    

echarts 图表代码 （各个年份对应的季节利润）

    
    
    
    
    



    
    

    2018
    2019
    2020
    2021
    2022
    

echarts 图表代码 （预测下一年份数据图表）

    
    
    
    
    


    
预测下一年利润

    
    


    

可视化大屏图表

     
    
    
    

       



    
可视化大屏

    
    


    

        2018
        2019
        2020
        2021
        2022
    


    
    


    

        显示收入
        显示成本
    




    
    



    

关于该数据爬虫代码

#     sql = " SELECT address-price as price FROM `test` WHERE YEAR(`title`) >= YEAR(CURDATE()) - 5 AND YEAR(`title`) <= YEAR(CURDATE()) - 1 GROUP by title;"

# sql = " SELECT sum(address) as shouru, sum(price) as chengben FROM `test` WHERE YEAR(`title`) >= YEAR(CURDATE()) - 5 AND YEAR(`title`) <= YEAR(CURDATE()) - 1 GROUP by LEFT(`title`, 4);;"

import datetime
import requests
import openpyxl
import pymysql
import time
import re
import json

import pandas as pd

from matplotlib.widgets import Button

from lxml import etree
from dbutils.pooled_db import PooledDB

import matplotlib.pyplot as plt

pool = PooledDB(pymysql, maxconnections=5, host='192.168.14.93', user='root', password='abc123', database='res_info',
                charset='utf8')

def get_result(year):


    url = 'https://money.finance.sina.com.cn/corp/go.php/vFD_ProfitStatement/stockid/002279/ctrl/{}/displaytype/4.phtml'.format(year)

    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36 Edg/115.0.1901.188'}

    response = requests.get(url, headers=headers)

    # 所需网页内容
    res = response.text

    # 初始化xpath
    tree = etree.HTML(res)

    # descendant-or-self::* 提取后代所有元素
    title = tree.xpath('//table[@id="ProfitStatementNewTable0"]/tbody/tr/td[@style="font-weight:bold" or @style="padding-left:30px"]/descendant-or-self::*/text()')

    # 取出所有的数据
    elements = (tree.xpath('//table[@id="ProfitStatementNewTable0"]/tbody/tr/td[@style="text-align:right;"  or (not(@style))]//text()'))[1:]
    res = elements[4:]

    # 将前四个字段截取，之后每个字段的第一位都与第一个字段对应 第二位都与第二位字段对应以此类推 总共三个字段
    res_time = elements[0:4]

    # 冬季
    winter = [res[i] for i in range(0, len(res), 4)]
    winter.insert(0,res_time[0])
    # 秋季
    autumn = [res[i] for i in range(1, len(res), 4)]
    autumn.insert(0,res_time[1])
    # 夏季
    summer = [res[i] for i in range(2, len(res), 4)]
    summer.insert(0,res_time[2])
    # 春季
    spring = [res[i] for i in range(3, len(res), 4)]
    spring.insert(0,res_time[3])

    # 创建一个字典，用于存储数据
    data = [{'title':title},{'resultlist':[spring,summer,autumn,winter]},]

    # 指定要保存的文件路径和文件名
    output_file = "output.json"

    # 将数据写入JSON文件
    with open(output_file, "w",encoding='utf-8') as f:
        json.dump(data, f, indent=4,ensure_ascii=False)

    # 将数据写入数据库

    def sql_insert(res):
        for i in res:
            conn = pool.connection()
            sql = 'INSERT INTO `test` (`title`, `address`, `content`, `price`, `image`,`Column1`,`Column2`,`Column3`,`Column4`,`Column5`,`Column6`,`Column7`,`Column8`,`Column9`,`Column10`,' \
                  '`Column11`,`Column12`,`Column13`,`Column14`,`Column15`,`Column16`,`Column17`,`Column18`,`Column19`,`Column20`,`Column21`,`Column22`,`Column23`,`Column24`,`Column25`) ' \
                  'VALUES ( "%s", "%s", "%s", "%s","%s", "%s", "%s", "%s", "%s","%s", "%s", "%s", "%s", "%s","%s",' \
                  ' "%s", "%s", "%s", "%s","%s", "%s", "%s", "%s", "%s","%s", "%s", "%s", "%s", "%s","%s")' % (
                    i[0],i[1],i[2],i[3],i[4],i[5],i[6],i[7],
                    i[8],i[9],i[10],i[11],i[12],i[13],i[14],i[15],
                    i[16],i[17],i[18],i[19],i[20],i[21],i[22],i[23],
                    i[24],i[25],i[26],i[27],i[28],i[29]
            )
            cursor = conn.cursor()
            cursor.execute(sql)
            conn.commit()
            conn.close()

    sql_insert([spring,summer,autumn,winter])

try:
    get_result(2018)
    get_result(2019)
    get_result(2020)
    get_result(2021)
    get_result(2022)
except Exception as f:
    print('错误为：',f)

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