import urllib.robotparser<\/p>\nrp = urllib.robotparser.RobotFileParser()<\/p>\n
rp.set_url('http:\/\/example.com\/robots.txt')<\/p>\n
rp.read()<\/p>\n
url = 'http:\/\/example.com\/page'<\/p>\n
if rp.can_fetch('*', url):<\/p>\n
response = requests.get(url)<\/p>\n
# \u5904\u7406\u6570\u636e<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5904\u7406\u6570\u636e\u5b58\u50a8<\/h3>\n<\/p>\n
\u722c\u53d6\u5230\u7684\u6570\u636e\u9700\u8981\u8fdb\u884c\u5b58\u50a8\u548c\u5904\u7406\uff0c\u6839\u636e\u4e0d\u540c\u7684\u9700\u6c42\uff0c\u53ef\u4ee5\u9009\u62e9\u4e0d\u540c\u7684\u5b58\u50a8\u65b9\u5f0f\uff0c\u5982\u6587\u4ef6\u3001\u6570\u636e\u5e93\u7b49\u3002<\/p>\n<\/p>\n
1\u3001\u5b58\u50a8\u5230\u6587\u4ef6<\/h4>\n<\/p>\n
\u722c\u53d6\u7684\u6570\u636e\u53ef\u4ee5\u5b58\u50a8\u5230\u6587\u4ef6\u4e2d\uff0c\u65b9\u4fbf\u540e\u7eed\u5904\u7406\u3002\u5e38\u89c1\u7684\u6587\u4ef6\u683c\u5f0f\u6709CSV\u3001JSON\u3001TXT\u7b49\uff0c\u6839\u636e\u6570\u636e\u7ed3\u6784\u9009\u62e9\u5408\u9002\u7684\u6587\u4ef6\u683c\u5f0f\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/strong><\/p>\n<\/p>\nimport csv<\/p>\ndata = [{'title': 'Example', 'url': 'http:\/\/example.com'}]<\/p>\n
with open('data.csv', 'w', newline='') as file:<\/p>\n
writer = csv.DictWriter(file, fieldnames=['title', 'url'])<\/p>\n
writer.writeheader()<\/p>\n
writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5b58\u50a8\u5230\u6570\u636e\u5e93<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u5927\u89c4\u6a21\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u9009\u62e9\u5b58\u50a8\u5230\u6570\u636e\u5e93\u4e2d\uff0c\u65b9\u4fbf\u67e5\u8be2\u548c\u5904\u7406\u3002\u5e38\u7528\u7684\u6570\u636e\u5e93\u6709MySQL\u3001MongoDB\u7b49\uff0c\u6839\u636e\u6570\u636e\u7ed3\u6784\u548c\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u5e93\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/strong><\/p>\n<\/p>\nimport pymysql<\/p>\nconnection = pymysql.connect(host='localhost',<\/p>\n
user='user',<\/p>\n
password='passwd',<\/p>\n
database='db')<\/p>\n
data = [{'title': 'Example', 'url': 'http:\/\/example.com'}]<\/p>\n
with connection.cursor() as cursor:<\/p>\n
for item in data:<\/p>\n
sql = "INSERT INTO `table` (`title`, `url`) VALUES (%s, %s)"<\/p>\n
cursor.execute(sql, (item['title'], item['url']))<\/p>\n
connection.commit()<\/p>\n
connection.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u5904\u7406\u53cd\u722c\u866b\u673a\u5236<\/h3>\n<\/p>\n
\u6709\u4e9b\u7f51\u7ad9\u4f1a\u91c7\u53d6\u53cd\u722c\u866b\u673a\u5236\uff0c\u9650\u5236\u722c\u866b\u7684\u8bbf\u95ee\u3002\u5904\u7406\u53cd\u722c\u866b\u673a\u5236\u9700\u8981\u91c7\u7528\u4e00\u4e9b\u6280\u672f\u624b\u6bb5\uff0c\u5982\u4f7f\u7528\u4ee3\u7406\u3001\u6a21\u62df\u6d4f\u89c8\u5668\u884c\u4e3a\u7b49\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528\u4ee3\u7406<\/h4>\n<\/p>\n
\u4f7f\u7528\u4ee3\u7406\u53ef\u4ee5\u9690\u85cf\u722c\u866b\u7684\u771f\u5b9eIP\uff0c\u907f\u514d\u88ab\u5c01\u7981\u3002\u901a\u8fc7\u8bbe\u7f6e\u4ee3\u7406\uff0c\u53ef\u4ee5\u6a21\u62df\u4e0d\u540c\u7684IP\u5730\u5740\uff0c\u63d0\u9ad8\u722c\u53d6\u7684\u6210\u529f\u7387\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/strong><\/p>\n<\/p>\nproxies = {<\/p>\n 'http': 'http:\/\/10.10.1.10:3128',<\/p>\n
'https': 'http:\/\/10.10.1.10:1080',<\/p>\n
}<\/p>\n
response = requests.get(url, proxies=proxies)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u6a21\u62df\u6d4f\u89c8\u5668\u884c\u4e3a<\/h4>\n<\/p>\n
\u6a21\u62df\u6d4f\u89c8\u5668\u884c\u4e3a\u53ef\u4ee5\u63d0\u9ad8\u722c\u866b\u7684\u9690\u853d\u6027\uff0c\u907f\u514d\u88ab\u8bc6\u522b\u4e3a\u722c\u866b\u3002\u901a\u8fc7\u8bbe\u7f6e\u8bf7\u6c42\u5934\u4fe1\u606f\u3001\u4f7f\u7528Selenium\u7b49\u5de5\u5177\uff0c\u53ef\u4ee5\u6a21\u62df\u6b63\u5e38\u7684\u7528\u6237\u8bbf\u95ee\u884c\u4e3a\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/strong><\/p>\n<\/p>\nfrom selenium import webdriver<\/p>\noptions = webdriver.ChromeOptions()<\/p>\n
options.add_argument('--headless')<\/p>\n
options.add_argument('--disable-gpu')<\/p>\n
options.add_argument('--no-sandbox')<\/p>\n
options.add_argument('--user-agent=Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/91.0.4472.124 Safari\/537.36')<\/p>\n
driver = webdriver.Chrome(options=options)<\/p>\n
driver.get('http:\/\/example.com')<\/p>\n
\u63d0\u53d6\u6570\u636e<\/strong><\/h2>\ndata = driver.page_source<\/p>\n
print(data)<\/p>\n
driver.quit()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u6570\u636e\u6e05\u6d17\u548c\u5904\u7406<\/h3>\n<\/p>\n
\u722c\u53d6\u5230\u7684\u6570\u636e\u901a\u5e38\u9700\u8981\u8fdb\u884c\u6e05\u6d17\u548c\u5904\u7406\uff0c\u53bb\u9664\u65e0\u7528\u4fe1\u606f\uff0c\u63d0\u53d6\u6709\u7528\u6570\u636e\u3002\u6570\u636e\u6e05\u6d17\u548c\u5904\u7406\u662f\u6570\u636e\u5206\u6790\u7684\u91cd\u8981\u6b65\u9aa4\uff0c\u76f4\u63a5\u5f71\u54cd\u5206\u6790\u7ed3\u679c\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
1\u3001\u6570\u636e\u6e05\u6d17<\/h4>\n<\/p>\n
\u6570\u636e\u6e05\u6d17\u662f\u6307\u53bb\u9664\u6570\u636e\u4e2d\u7684\u65e0\u7528\u4fe1\u606f\u3001\u9519\u8bef\u6570\u636e\u7b49\u3002\u5e38\u89c1\u7684\u6570\u636e\u6e05\u6d17\u64cd\u4f5c\u6709\u53bb\u91cd\u3001\u7f3a\u5931\u503c\u5904\u7406\u3001\u683c\u5f0f\u8f6c\u6362\u7b49\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/strong><\/p>\n<\/p>\nimport pandas as pd<\/p>\ndata = pd.read_csv('data.csv')<\/p>\n
\u53bb\u91cd<\/strong><\/h2>\ndata = data.drop_duplicates()<\/p>\n
\u7f3a\u5931\u503c\u5904\u7406<\/strong><\/h2>\ndata = data.fillna('N\/A')<\/p>\n
\u683c\u5f0f\u8f6c\u6362<\/strong><\/h2>\ndata['date'] = pd.to_datetime(data['date'])<\/p>\n
data.to_csv('clean_data.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u6570\u636e\u5904\u7406<\/h4>\n<\/p>\n
\u6570\u636e\u5904\u7406\u662f\u6307\u5bf9\u6570\u636e\u8fdb\u884c\u8f6c\u6362\u3001\u805a\u5408\u7b49\u64cd\u4f5c\uff0c\u63d0\u53d6\u6709\u7528\u7684\u4fe1\u606f\u3002\u5e38\u89c1\u7684\u6570\u636e\u5904\u7406\u64cd\u4f5c\u6709\u5206\u7ec4\u3001\u7edf\u8ba1\u3001\u7b5b\u9009\u7b49\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/strong><\/p>\n<\/p>\nimport pandas as pd<\/p>\ndata = pd.read_csv('clean_data.csv')<\/p>\n
\u5206\u7ec4\u7edf\u8ba1<\/strong><\/h2>\ngrouped_data = data.groupby('category').size()<\/p>\n
\u7b5b\u9009<\/strong><\/h2>\nfiltered_data = data[data['value'] > 100]<\/p>\n
\u805a\u5408<\/strong><\/h2>\naggregated_data = data.groupby('category').agg({'value': 'sum'})<\/p>\n
print(grouped_data)<\/p>\n
print(filtered_data)<\/p>\n
print(aggregated_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316<\/h3>\n<\/p>\n
\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u662f\u6570\u636e\u5904\u7406\u7684\u6700\u540e\u4e00\u6b65\uff0c\u901a\u8fc7\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\uff0c\u53ef\u4ee5\u76f4\u89c2\u5730\u5c55\u793a\u6570\u636e\u7ed3\u679c\uff0c\u53d1\u73b0\u6570\u636e\u4e2d\u7684\u89c4\u5f8b\u548c\u8d8b\u52bf\u3002<\/p>\n<\/p>\n
1\u3001\u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n
\u6570\u636e\u5206\u6790\u662f\u6307\u5bf9\u6570\u636e\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u3001\u8ba1\u7b97\u6307\u6807\u7b49\uff0c\u63d0\u53d6\u6709\u4ef7\u503c\u7684\u4fe1\u606f\u3002\u5e38\u89c1\u7684\u6570\u636e\u5206\u6790\u65b9\u6cd5\u6709\u63cf\u8ff0\u7edf\u8ba1\u3001\u76f8\u5173\u5206\u6790\u3001\u56de\u5f52\u5206\u6790\u7b49\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/strong><\/p>\n<\/p>\nimport pandas as pd<\/p>\ndata = pd.read_csv('clean_data.csv')<\/p>\n
\u63cf\u8ff0\u7edf\u8ba1<\/strong><\/h2>\ndescriptive_stats = data.describe()<\/p>\n
\u76f8\u5173\u5206\u6790<\/strong><\/h2>\ncorrelation_matrix = data.corr()<\/p>\n
print(descriptive_stats)<\/p>\n
print(correlation_matrix)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u6570\u636e\u53ef\u89c6\u5316<\/h4>\n<\/p>\n
\u6570\u636e\u53ef\u89c6\u5316\u662f\u6307\u901a\u8fc7\u56fe\u8868\u7b49\u65b9\u5f0f\u76f4\u89c2\u5730\u5c55\u793a\u6570\u636e\u7ed3\u679c\u3002\u5e38\u89c1\u7684\u53ef\u89c6\u5316\u5de5\u5177\u6709matplotlib\u3001seaborn\u7b49\uff0c\u53ef\u4ee5\u7ed8\u5236\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/strong><\/p>\n<\/p>\nimport matplotlib.pyplot as plt<\/p>\nimport seaborn as sns<\/p>\n
import pandas as pd<\/p>\n
data = pd.read_csv('clean_data.csv')<\/p>\n
\u6298\u7ebf\u56fe<\/strong><\/h2>\nplt.figure(figsize=(10, 6))<\/p>\n
plt.plot(data['date'], data['value'])<\/p>\n
plt.xlabel('Date')<\/p>\n
plt.ylabel('Value')<\/p>\n
plt.title('Value over Time')<\/p>\n
plt.show()<\/p>\n
\u67f1\u72b6\u56fe<\/strong><\/h2>\nplt.figure(figsize=(10, 6))<\/p>\n
sns.barplot(x='category', y='value', data=data)<\/p>\n
plt.xlabel('Category')<\/p>\n
plt.ylabel('Value')<\/p>\n
plt.title('Value by Category')<\/p>\n
plt.show()<\/p>\n
\u6563\u70b9\u56fe<\/strong><\/h2>\nplt.figure(figsize=(10, 6))<\/p>\n
sns.scatterplot(x='value1', y='value2', data=data)<\/p>\n
plt.xlabel('Value 1')<\/p>\n
plt.ylabel('Value 2')<\/p>\n
plt.title('Value 1 vs Value 2')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u53ef\u4ee5\u7cfb\u7edf\u5730\u5b8c\u6210\u6570\u636e\u722c\u53d6\u3001\u6e05\u6d17\u3001\u5904\u7406\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u7684\u5168\u8fc7\u7a0b\u3002\u6ce8\u610f\uff0c\u8fdb\u884c\u7f51\u7edc\u722c\u53d6\u65f6\u5e94\u9075\u5b88\u76f8\u5173\u6cd5\u5f8b\u6cd5\u89c4\u548c\u7f51\u7ad9\u7684\u4f7f\u7528\u6761\u6b3e\uff0c\u5408\u7406\u4f7f\u7528\u722c\u866b\u6280\u672f\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n \u5982\u4f55\u5f00\u59cb\u4f7f\u7528Python\u8fdb\u884c\u7f51\u7edc\u722c\u866b\uff1f<\/strong>
\u8981\u5f00\u59cb\u4f7f\u7528Python\u8fdb\u884c\u7f51\u7edc\u722c\u866b\uff0c\u60a8\u9700\u8981\u5b89\u88c5\u4e00\u4e9b\u57fa\u672c\u7684\u5e93\uff0c\u6bd4\u5982requests<\/code>\u548cBeautifulSoup<\/code>\u3002\u8fd9\u4e9b\u5e93\u53ef\u4ee5\u5e2e\u52a9\u60a8\u53d1\u9001HTTP\u8bf7\u6c42\u5e76\u89e3\u6790\u7f51\u9875\u5185\u5bb9\u3002\u5b89\u88c5\u8fd9\u4e9b\u5e93\u540e\uff0c\u60a8\u53ef\u4ee5\u7f16\u5199\u4ee3\u7801\u6765\u83b7\u53d6\u7f51\u9875\u6570\u636e\uff0c\u5e76\u4f7f\u7528\u89e3\u6790\u5e93\u63d0\u53d6\u6240\u9700\u7684\u4fe1\u606f\u3002<\/p>\n\u5728\u722c\u53d6\u6570\u636e\u65f6\uff0c\u5982\u4f55\u5904\u7406\u53cd\u722c\u866b\u673a\u5236\uff1f<\/strong>
\u8bb8\u591a\u7f51\u7ad9\u4f1a\u91c7\u53d6\u53cd\u722c\u866b\u63aa\u65bd\u6765\u4fdd\u62a4\u5176\u6570\u636e\uff0c\u5e38\u89c1\u7684\u5305\u62ecIP\u5c01\u7981\u3001\u9a8c\u8bc1\u7801\u548c\u7528\u6237\u4ee3\u7406\u68c0\u6d4b\u3002\u4e3a\u4e86\u7ed5\u8fc7\u8fd9\u4e9b\u673a\u5236\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee3\u7406IP\u3001\u8bbe\u7f6e\u5408\u7406\u7684\u8bf7\u6c42\u95f4\u9694\u3001\u4f2a\u88c5\u7528\u6237\u4ee3\u7406\uff0c\u751a\u81f3\u4f7f\u7528\u81ea\u52a8\u5316\u5de5\u5177\u5982Selenium\u6765\u6a21\u62df\u4eba\u7c7b\u884c\u4e3a\u3002\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u60a8\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u89c4\u907f\u53cd\u722c\u866b\u7b56\u7565\u3002<\/p>\n\u5982\u4f55\u786e\u4fdd\u722c\u53d6\u6570\u636e\u7684\u5408\u6cd5\u6027\u4e0e\u9053\u5fb7\u6027\uff1f<\/strong>
\u5728\u8fdb\u884c\u6570\u636e\u722c\u53d6\u4e4b\u524d\uff0c\u52a1\u5fc5\u68c0\u67e5\u76ee\u6807\u7f51\u7ad9\u7684robots.txt<\/code>\u6587\u4ef6\uff0c\u4e86\u89e3\u5176\u5141\u8bb8\u548c\u7981\u6b62\u722c\u53d6\u7684\u5185\u5bb9\u3002\u6b64\u5916\uff0c\u9075\u5faa\u7f51\u7ad9\u7684\u4f7f\u7528\u6761\u6b3e\uff0c\u907f\u514d\u5bf9\u7f51\u7ad9\u9020\u6210\u8d1f\u62c5\u6216\u5f71\u54cd\u5176\u6b63\u5e38\u8fd0\u884c\u3002\u5728\u722c\u53d6\u6570\u636e\u65f6\uff0c\u5c3d\u91cf\u9075\u5faa\u9053\u5fb7\u6807\u51c6\uff0c\u907f\u514d\u4fb5\u72af\u4ed6\u4eba\u7684\u77e5\u8bc6\u4ea7\u6743\u6216\u9690\u79c1\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u5728\u7f51\u7edc\u4e0a\u722c\u53d6\u6570\u636e\u6d89\u53ca\u591a\u4e2a\u6b65\u9aa4\u548c\u6280\u672f\uff0c\u5305\u62ec\u9009\u62e9\u722c\u866b\u5de5\u5177\u3001\u89e3\u6790\u7f51\u9875\u3001\u5904\u7406\u6570\u636e\u7b49\u3002\u9009\u62e9\u5408\u9002\u7684\u722c\u866b\u5e93\u3001 […]","protected":false},"author":3,"featured_media":1110662,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1110650"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1110650"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1110650\/revisions"}],"predecessor-version":[{"id":1110665,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1110650\/revisions\/1110665"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1110662"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1110650"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1110650"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1110650"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"\u5982\u4f55\u7528python\u5728\u7f51\u7edc\u4e0a\u722c\u53d6\u6570\u636e\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25073405\/8d2e5c9f-0709-4b73-8800-b7065ee6ff62.webp\")
<\/p>\n