python+msql+pyecharts中国各省人口数量以及增长量的可视化分析

【声明：因时间关系，爬虫部分代码有所借鉴，本人主要想将该三部分结合起来，供读者学习交流，如有冒犯，尽请原谅！】
一、本地环境：
1.python 3.7
2.mysql 8.0.17(Navicat)
3.beautifulsoup 4-4.8.0
4.pyecharts-0.5.11
！！！（若pyecharts导入过程之中遇到较难解决的问题，读者可尝试Anaconda3,其自带pyecharts）

二、爬取数据放置MySQL

import requests
from bs4 import BeautifulSoup
import re
import pymysql

db = pymysql.connect("localhost", "root", "123zwh", "zwh1")
cursor = db.cursor()

url = 'http://www.china-10.com/news/488659.html'
html = requests.get(url)
soup = BeautifulSoup(html.content, 'html.parser')
# 找到所有class为md_td的td元素
aaa = soup.find_all(name="td", attrs={"class": re.compile(r"md_td")})
# 检查索引，以便于后面爬取工作
# for n,i in enumerate(aaa):
#    print(n,i.text)
demo_list = []
for i in aaa[4:128]:
    demo_list.append(i.text)
while demo_list:
    print(int(demo_list[0:4][0]), demo_list[0:4][1], int(float(demo_list[0:4][2]) * 10000),
          int(float(demo_list[0:4][3]) * 10000))
    #   测试数据类型
    #   print(type(demo_list[0:4][0]), type(demo_list[0:4][1]), type(demo_list[0:4][2]), type(demo_list[0:4][3]))
    insert_message = ("INSERT INTO china_population VALUES(%s,%s,%s,%s)")
    data = (int(demo_list[0:4][0]), demo_list[0:4][1], int(float(demo_list[0:4][2]) * 10000),
            int(float(demo_list[0:4][3]) * 10000))
    #   数据插入数据库
    cursor.execute(insert_message, data)
    db.commit()
    del demo_list[0:4]
# 关闭数据库
db.close()

数据库数据展示：

三、从MySQL获取数据，利用pyecharts绘制成图生成html

import pymysql
from pyecharts import Bar,Line
namelist = []
numlist = []
riselist=[]


db = pymysql.connect("localhost", "root", "123zwh", "zwh1")
cursor = db.cursor()
try:
    sql_name = """ SELECT province FROM china_population """
    cursor.execute(sql_name)
    names = cursor.fetchall()
    for name in names:
        namelist.append(name[0])
    print(namelist)
    sql_num = """ SELECT population FROM china_population """
    cursor.execute(sql_num)
    nums = cursor.fetchall()
    for num in nums:
        numlist.append(num[0])
    print(numlist)

    sql_rise = """ SELECT rise FROM china_population """
    cursor.execute(sql_rise)
    rise_num = cursor.fetchall()
    for i in rise_num:
        riselist.append(i[0])
    print(riselist)

except:
    print("未查询到数据！")
    db.rollback()
finally:
    db.close()

def drawPic():
    columns=[]
    data1=[]
    for i in names:
        columns.append(i[0])
    for i in nums:
        data1.append(i[0])
    bar = Bar("2019中国各省人数")
    bar.add("人口数", columns, data1, mark_line=["average"], mark_point=["max", "min"],area_color='yellow')
    bar.render('peo_popu.html')

def drawPic1():
    # 普通折线图
    line = Line('2019各省人口数量增量折现图')
    Rise=[]

    line.add('各省人口数量增量', namelist, riselist, mark_point=['max','min'],is_smooth=True)

    line.show_config()
    line.render('peo_rise.html')

if __name__ == '__main__':
    drawPic()
    drawPic1()

在这里插入图片描述


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