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46 lines
1.3 KiB
46 lines
1.3 KiB
# 1
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import requests
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from lxml import etree
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url = "https://www.bitpush.news/covid19/"
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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"}
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response = requests.get(url, headers=headers)
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html = response.text
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encoding='utf-8'
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parse = etree.HTMLParser(encoding='utf-8')
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doc = etree.HTML(html)
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states = doc.xpath('//div[@class="table_container"]//tbody/tr/td/span/text()')
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person = doc.xpath('//div[@class="table_container"]//tbody/tr/td[2]/text()')
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person = [x.replace(",", "") for x in person]
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death = doc.xpath('//div[@class="table_container"]//tbody/tr/td[3]/text()')
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death = [x.replace(",", "") for x in death]
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message = list(zip(states, person, death))
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import csv
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with open("content.csv", "w") as f:
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w = csv.writer(f)
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w.writerows(message)
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print(w)
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import pandas as pd
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print("content.csv")
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#读
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df = pd.read_csv("content.csv", names=["states", "person", "death"])
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df.head()
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print(df)
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for i in range(101):
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df.drop([i],inplace=True)
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print(df)
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df.sort_values(by=['person'],ascending=False,ignore_index=True)
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print(df)
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df=df.iloc[0:15]
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print(df)
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import matplotlib.pyplot as plt
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plt.rcParams['font.sans-serif'] = ['SimHei']
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plt.rcParams['figure.figsize'] = (10, 5)
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x = df["states"].values
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y = df['death'].values
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plt.bar(x, y)
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plt.xlabel("states")
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plt.ylabel("death")
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plt.show()
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