1.2 KiB
import requests
url = "https://www.bitpush.news/covid19/"
headers = {"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36"}
response = requests.get(url, headers=headers)
html = response.text
from lxml import etree
parse = etree.HTMLParser(encoding='utf-8')
doc = etree.HTML(html)
country = doc.xpath('//div[@class="table_container"]//tbody/tr/td/span/text()')
person = doc.xpath('//div[@class="table_container"]//tbody/tr/td[2]/text()')
death = doc.xpath('//div[@class="table_container"]//tbody/tr/td[3]/text()')
death = [x.replace(",", "") for x in death]
message = list(zip(country, person, death))
message
import csv
with open("content.csv", "w") as f:
w = csv.writer(f)
w.writerows(message)
import pandas as pd
df = pd.read_csv("content.csv", names=["country", "person", "death"], encoding='gb2312')
df.info()
df1 = df.drop(0).head(10)
import matplotlib.pyplot as plt
%matplotlib inline
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['figure.figsize'] = (10, 5)
x = df1["country"].values
y = df1["death"].values
plt.bar(x, y)
plt.xlabel("国家",fontsize=14)
plt.ylabel("死亡人数",fontsize=14)
plt.show()