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  • Numpy、Pandas 实战(一)

    爬取美国肺炎疫情  url = https://coronavirus.1point3acres.com/zh

    代码如下:(Jupyter Notebook)

    import re,json
    import requests
    import pandas as pd
    
    url = 'https://coronavirus.1point3acres.com/_next/static/chunks/858271f81a54c4a12bd9f8d541482a95960c3031.f6d0ebde501d7c08cace.js'
    headers = {'User-Agent': "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.121 Safari/537.36",
              "referer":"coronavirus.1point3acres.com"}
    res = requests.get(url,headers=headers).text
    #data = re.findall(r"provinceShortName(.+?)curedCount",res)
    data = re.findall(r"provinceShortName(.+?deadCount.....)",res)
    df = pd.DataFrame(columns= ['Location','Confirmed','Cure','Dead'])
    for i in range(len(data)):
        a = '{"s' + data[i]
        a = a[0:-2]
        a = a + "}"
        a = eval(a)
        Loaction = a['provinceName']
        Confirmed = a['confirmedCount']
        Cure = a['curedCount']
        Dead = a['deadCount']
        df.loc[i] = [Loaction,Confirmed,Cure,Dead]
    # df
    df.to_excel('American_4_5_2.xlsx')
    
    
    
    import matplotlib.pyplot as plt
    
    #设置图片大小
    plt.figure(figsize=(30,10),dpi =500)
    #画图
    plt.plot(df.Location,df.Confirmed,'b.-')
    #设置x轴的刻度大小
    plt.xticks(df.Location,rotation=90)
    #添加标题等信息
    plt.xlabel("Location")
    plt.ylabel("Confirmed Numbers")
    plt.title("USA")
    plt.show()

     此次的实战感谢博主  参考链接:https://blog.csdn.net/weixin_41846769/article/details/105193754

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  • 原文地址:https://www.cnblogs.com/cfancy/p/12638306.html
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