Update README.md

README.md

@@ -1,2 +1,82 @@
 # crawler
+#Spider正常运行代码
+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
+html
+from lxml import etree
+parse = etree.HTMLParser(encoding='utf-8')
+doc = etree.HTML(html)
+state = doc.xpath('//div[@class="table_container"]//tbody/tr/td/span/text()')[101:]
+person = doc.xpath('//div[@class="table_container"]//tbody/tr/td[2]/text()')[101:]
+person = [x.replace(",", "") for x in person]
+death = doc.xpath('//div[@class="table_container"]//tbody/tr/td[3]/text()')
+death = [x.replace(",", "") for x in death]
+message = list(zip(state, person, death))
+message
+print(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=["state", "person", "death"],encoding='GB2312')
+df.head()
+df.info()
+df1 = df.drop(0).head(10)
+df1
+import matplotlib.pyplot as plt
+%matplotlib inline
+plt.rcParams['font.sans-serif'] = ['SimHei']
+plt.rcParams['figure.figsize'] = (10, 5)
+x = df1["state"].values
+y = df1["death"].values
+plt.bar(x, y)
+plt.xlabel("州",fontsize=14)
+plt.ylabel("死亡人数",fontsize=14)
+plt.show()
 
+#头哥正常运行代码
+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
+html
+from lxml import etree
+parse = etree.HTMLParser(encoding='utf-8')
+doc = etree.HTML(html)
+state = doc.xpath('//div[@class="table_container"]//tbody/tr/td/span/text()')[101:]
+person = doc.xpath('//div[@class="table_container"]//tbody/tr/td[2]/text()')[101:]
+person = [x.replace(",", "") for x in person]
+death = doc.xpath('//div[@class="table_container"]//tbody/tr/td[3]/text()')
+death = [x.replace(",", "") for x in death]
+message = list(zip(state, person, death))
+message
+print(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=["state", "person", "death"])
+df.head()
+df.info()
+df1 = df.drop(0).head(10)
+df1
+import matplotlib.pyplot as plt
+%matplotlib inline
+plt.rcParams['font.sans-serif'] = ['SimHei']
+plt.rcParams['figure.figsize'] = (10, 5)
+x = df1["state"].values
+y = df1["death"].values
+plt.bar(x, y)
+plt.xlabel("州",fontsize=14)
+plt.ylabel("死亡人数",fontsize=14)
+plt.show()