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1、爬取新闻保存为json文件，并将绘图所需数据保存至数据库

数据库表结构：

代码部分：

import pymysqlimport reimport sys,urllib,jsonfrom urllib import requestfrom datetime import datetimeimport pandas as pdToday=datetime.now().strftime(r"%Y-%m-%d")#Today='2020-02-14'def pachong(): url='http://api.tianapi.com/txapi/ncov/index?key=xxx&date={}'.format(Today) req = request.Request(url) resp = request.urlopen(req) content = resp.read().decode() data=json.loads(content) with open('/Users/zhangyuchen/Desktop/latestTrends.json','w') as fp:#将所得的数据存储为json文件 json.dump(data,fp = fp,ensure_ascii = False,indent = 4,sort_keys=True) #dump函数有很多参数，第一个是目标object，第二个是要写入的文件对象 print("成功保存为json文件！") return(re.findall(r'"confirmedCount":(.+?),"',content),re.findall(r'"currentConfirmedCount":(.+?),"',content),re.findall(r'"curedCount":(.+?),"',content))def connectMysql(cc): #/usr/local/mysql/bin/mysql -u root -p db = pymysql.connect("localhost", "root", "密码", "dbname",charset='utf8' ) cursor = db.cursor() sql="""insert into {0} (DATE,SICK,SICK_NOW,RECOVER)values('{1}','{2}','{3}','{4}')""" cursor.execute(sql.format('db1',Today,int(cc[0][0]),int(cc[1][0]),int(cc[2][0]))) cursor.execute(sql.format('db2',Today,int(cc[0][1]),int(cc[1][1]),int(cc[2][1]))) db.commit() print(("成功将{}数据存入数据库！").format(Today)) db.close()cc=pachong()connectMysql(cc)

json文件：

2、利用matplotlib库函数绘制图表

import numpy as npimport matplotlib.pyplot as pltimport matplotlibimport pymysqlimport reimport sys, urllib,jsonfrom urllib import request#/usr/local/mysql/bin/mysql -u root -pdate=[]cSick=[]aSick=[]cNowSick=[]aNowSick=[]cRecover=[]aRecover=[]db = pymysql.connect("localhost", "root", "密码", "trends")sql="select * from db1 ORDER BY DATE"cursor = db.cursor()cursor.execute(sql)results = cursor.fetchall()while results: for row in results: date.append(row[0].strftime("%d")) cSick.append(row[1]) cNowSick.append(row[2]) cRecover.append(row[3]) results=cursor.fetchone()#查询Abroad Tablesql="select * from db2"cursor.execute(sql)results = cursor.fetchall()while results: for row in results: aSick.append(row[1]) aNowSick.append(row[2]) aRecover.append(row[3]) results=cursor.fetchone()cursor.close()db.close()def DrawLineChart(ySick,yNowSick): plt.plot(x,ySick,color='y',label="Cumulative number of cases",linewidth=3,linestyle="--") plt.plot(x,yNowSick,color='r',label="Current number of cases",linewidth=3,linestyle="-")def DrawBarChart(yRecover): width=0.45#柱子宽度 p2 = plt.bar(x,yRecover,width,label="Cured Count",color="#87CEFA")Days=len(aSick)plt.figure(figsize=(16,12), dpi=80)#设置分辨率为80像素/每英寸x=np.arange(Days)#创建两个子图plt.subplot(322)plt.title("Trends of March")DrawLineChart(cSick,cNowSick)DrawBarChart(cRecover)plt.figlegend()plt.xticks(x,date)plt.ylabel('Number')plt.subplot(324)#plt.title("Trends of March")DrawLineChart(aSick,aNowSick)DrawBarChart(aRecover)plt.xticks(x,date,rotation=0)plt.xlabel('Date')plt.ylabel('Number')plt.show()

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