\u5b58\u50a8\u5230CSV\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684csv\u6a21\u5757\u5c06\u6570\u636e\u5b58\u50a8\u5230CSV\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n\u5b9a\u4e49\u5546\u54c1\u6570\u636e<\/strong><\/h2>\nproduct_data = [<\/p>\n
{'name': '\u5546\u54c11', 'price': '100\u5143'},<\/p>\n
{'name': '\u5546\u54c12', 'price': '200\u5143'}<\/p>\n
]<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\nwith open('products.csv', 'w', newline='', encoding='utf-8') as file:<\/p>\n
writer = csv.DictWriter(file, fieldnames=['name', 'price'])<\/p>\n
writer.writeheader()<\/p>\n
writer.writerows(product_data)<\/p>\n
print('\u5546\u54c1\u6570\u636e\u5df2\u4fdd\u5b58\u5230products.csv\u6587\u4ef6\u4e2d')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5546\u54c1\u6570\u636e\u5217\u8868\uff0c\u5e76\u4f7f\u7528csv.DictWriter\u5c06\u5176\u5199\u5165CSV\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
\n- \u5b58\u50a8\u5230JSON\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
\u6211\u4eec\u4e5f\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684json\u6a21\u5757\u5c06\u6570\u636e\u5b58\u50a8\u5230JSON\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
import json<\/p>\n\u5b9a\u4e49\u5546\u54c1\u6570\u636e<\/strong><\/h2>\nproduct_data = [<\/p>\n
{'name': '\u5546\u54c11', 'price': '100\u5143'},<\/p>\n
{'name': '\u5546\u54c12', 'price': '200\u5143'}<\/p>\n
]<\/p>\n
\u5199\u5165JSON\u6587\u4ef6<\/strong><\/h2>\nwith open('products.json', 'w', encoding='utf-8') as file:<\/p>\n
json.dump(product_data, file, ensure_ascii=False, indent=4)<\/p>\n
print('\u5546\u54c1\u6570\u636e\u5df2\u4fdd\u5b58\u5230products.json\u6587\u4ef6\u4e2d')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5546\u54c1\u6570\u636e\u5217\u8868\uff0c\u5e76\u4f7f\u7528json.dump\u5c06\u5176\u5199\u5165JSON\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
\n- \u5b58\u50a8\u5230\u6570\u636e\u5e93<\/strong><\/li>\n<\/ol>\n
\u5bf9\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u5b58\u50a8\uff0c\u6211\u4eec\u53ef\u4ee5\u9009\u62e9\u5c06\u6570\u636e\u5b58\u50a8\u5230\u6570\u636e\u5e93\u4e2d\u3002\u4ee5\u4e0b\u662f\u5c06\u6570\u636e\u5b58\u50a8\u5230MySQL\u6570\u636e\u5e93\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import mysql.connector<\/p>\n\u8fde\u63a5\u5230MySQL\u6570\u636e\u5e93<\/strong><\/h2>\ndb = mysql.connector.connect(<\/p>\n
host='localhost',<\/p>\n
user='your_username',<\/p>\n
password='your_password',<\/p>\n
database='your_database'<\/p>\n
)<\/p>\n
\u521b\u5efa\u6e38\u6807\u5bf9\u8c61<\/strong><\/h2>\ncursor = db.cursor()<\/p>\n
\u521b\u5efa\u5546\u54c1\u8868<\/strong><\/h2>\ncursor.execute('''<\/p>\n
CREATE TABLE IF NOT EXISTS products (<\/p>\n
id INT AUTO_INCREMENT PRIMARY KEY,<\/p>\n
name VARCHAR(255),<\/p>\n
price VARCHAR(255)<\/p>\n
)<\/p>\n
''')<\/p>\n
\u5b9a\u4e49\u5546\u54c1\u6570\u636e<\/strong><\/h2>\nproduct_data = [<\/p>\n
{'name': '\u5546\u54c11', 'price': '100\u5143'},<\/p>\n
{'name': '\u5546\u54c12', 'price': '200\u5143'}<\/p>\n
]<\/p>\n
\u63d2\u5165\u6570\u636e\u5230\u5546\u54c1\u8868<\/strong><\/h2>\nfor product in product_data:<\/p>\n
cursor.execute('''<\/p>\n
INSERT INTO products (name, price)<\/p>\n
VALUES (%s, %s)<\/p>\n
''', (product['name'], product['price']))<\/p>\n
\u63d0\u4ea4\u4e8b\u52a1<\/strong><\/h2>\ndb.commit()<\/p>\n
print('\u5546\u54c1\u6570\u636e\u5df2\u4fdd\u5b58\u5230MySQL\u6570\u636e\u5e93\u4e2d')<\/p>\n
\u5173\u95ed\u8fde\u63a5<\/strong><\/h2>\ncursor.close()<\/p>\n
db.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528mysql.connector\u8fde\u63a5\u5230MySQL\u6570\u636e\u5e93\uff0c\u5e76\u521b\u5efa\u5546\u54c1\u8868\u3002\u63a5\u7740\uff0c\u6211\u4eec\u5c06\u5546\u54c1\u6570\u636e\u63d2\u5165\u5230\u5546\u54c1\u8868\u4e2d\uff0c\u5e76\u63d0\u4ea4\u4e8b\u52a1\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5904\u7406\u53cd\u722c\u866b\u673a\u5236<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u7684\u5546\u54c1\u6570\u636e\u722c\u53d6\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u4f1a\u9047\u5230\u53cd\u722c\u866b\u673a\u5236\u7684\u963b\u788d\u3002\u5e38\u89c1\u7684\u53cd\u722c\u866b\u673a\u5236\u5305\u62ecIP\u5c01\u7981\u3001\u9a8c\u8bc1\u7801\u3001\u52a8\u6001\u5185\u5bb9\u52a0\u8f7d\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u53cd\u722c\u866b\u5904\u7406\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
\n- \u4f7f\u7528\u4ee3\u7406IP<\/strong><\/li>\n<\/ol>\n
\u4f7f\u7528\u4ee3\u7406IP\u53ef\u4ee5\u6709\u6548\u5730\u89c4\u907fIP\u5c01\u7981\u95ee\u9898\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee3\u7406IP\u6c60\u8f6e\u6362\u4f7f\u7528\u4e0d\u540c\u7684IP\u5730\u5740\uff0c\u907f\u514d\u88ab\u76ee\u6807\u7f51\u7ad9\u5c01\u7981\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import requests<\/p>\n\u5b9a\u4e49\u4ee3\u7406IP\u5217\u8868<\/strong><\/h2>\nproxies = [<\/p>\n
'http:\/\/123.123.123.123:8080',<\/p>\n
'http:\/\/124.124.124.124:8080'<\/p>\n
]<\/p>\n
\u8f6e\u6362\u4f7f\u7528\u4ee3\u7406IP<\/strong><\/h2>\nfor proxy in proxies:<\/p>\n
response = requests.get('https:\/\/www.amazon.com\/dp\/B08N5WRWNW', proxies={'http': proxy, 'https': proxy})<\/p>\n
print(response.status_code)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\n- \u4f7f\u7528\u5934\u4fe1\u606f<\/strong><\/li>\n<\/ol>\n
\u5728\u8bf7\u6c42\u5934\u4e2d\u6dfb\u52a0User-Agent\u3001Referer\u3001Cookies\u7b49\u4fe1\u606f\uff0c\u53ef\u4ee5\u6a21\u62df\u6d4f\u89c8\u5668\u8bf7\u6c42\uff0c\u589e\u52a0\u8bf7\u6c42\u7684\u771f\u5b9e\u6027\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import requests<\/p>\n\u5b9a\u4e49\u8bf7\u6c42\u5934<\/strong><\/h2>\nheaders = {<\/p>\n
'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
'Referer': 'https:\/\/www.amazon.com\/',<\/p>\n
'Cookies': 'your_cookies_here'<\/p>\n
}<\/p>\n
\u53d1\u9001\u8bf7\u6c42<\/strong><\/h2>\nresponse = requests.get('https:\/\/www.amazon.com\/dp\/B08N5WRWNW', headers=headers)<\/p>\n
print(response.status_code)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\n- \u6a21\u62df\u7528\u6237\u64cd\u4f5c<\/strong><\/li>\n<\/ol>\n
\u5bf9\u4e8e\u9700\u8981\u6267\u884cJavaScript\u624d\u80fd\u83b7\u53d6\u7684\u5185\u5bb9\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Selenium\u6a21\u62df\u7528\u6237\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u6eda\u52a8\u9875\u9762\u3001\u70b9\u51fb\u6309\u94ae\u7b49\u64cd\u4f5c\uff0c\u53ef\u4ee5\u52a0\u8f7d\u66f4\u591a\u7684\u52a8\u6001\u5185\u5bb9\u3002<\/p>\n<\/p>\n
from selenium import webdriver<\/p>\nfrom selenium.webdriver.common.keys import Keys<\/p>\n
\u521d\u59cb\u5316\u6d4f\u89c8\u5668\u9a71\u52a8<\/strong><\/h2>\ndriver = webdriver.Chrome()<\/p>\n
\u6253\u5f00\u7f51\u9875<\/strong><\/h2>\nurl = 'https:\/\/www.amazon.com\/dp\/B08N5WRWNW'<\/p>\n
driver.get(url)<\/p>\n
\u6a21\u62df\u6eda\u52a8\u9875\u9762<\/strong><\/h2>\ndriver.find_element_by_tag_name('body').send_keys(Keys.END)<\/p>\n
\u7b49\u5f85\u9875\u9762\u52a0\u8f7d\u5b8c\u6210<\/strong><\/h2>\ndriver.implicitly_wait(10)<\/p>\n
\u83b7\u53d6\u5546\u54c1\u4fe1\u606f<\/strong><\/h2>\nproduct_title = driver.find_element_by_id('productTitle').text<\/p>\n
product_price = driver.find_element_by_id('priceblock_ourprice').text<\/p>\n
print(f'\u5546\u54c1\u540d\u79f0: {product_title}')<\/p>\n
print(f'\u5546\u54c1\u4ef7\u683c: {product_price}')<\/p>\n
\u5173\u95ed\u6d4f\u89c8\u5668<\/strong><\/h2>\ndriver.quit()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Selenium\u6a21\u62df\u6d4f\u89c8\u5668\u64cd\u4f5c\uff0c\u6253\u5f00\u5546\u54c1\u9875\u9762\u5e76\u6eda\u52a8\u5230\u9875\u9762\u5e95\u90e8\uff0c\u4ee5\u52a0\u8f7d\u66f4\u591a\u7684\u52a8\u6001\u5185\u5bb9\u3002<\/p>\n<\/p>\n
\u516d\u3001\u6570\u636e\u6e05\u6d17\u548c\u5206\u6790<\/h3>\n<\/p>\n
\u5728\u83b7\u53d6\u5230\u5546\u54c1\u6570\u636e\u540e\uff0c\u6211\u4eec\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u548c\u5206\u6790\uff0c\u4ee5\u4fbf\u63d0\u53d6\u6709\u4ef7\u503c\u7684\u4fe1\u606f\u3002\u5e38\u89c1\u7684\u6570\u636e\u6e05\u6d17\u548c\u5206\u6790\u64cd\u4f5c\u5305\u62ec\u6570\u636e\u53bb\u91cd\u3001\u7f3a\u5931\u503c\u5904\u7406\u3001\u6570\u636e\u683c\u5f0f\u8f6c\u6362\u7b49\u3002<\/p>\n<\/p>\n
\n- \u6570\u636e\u53bb\u91cd<\/strong><\/li>\n<\/ol>\n
\u6570\u636e\u53bb\u91cd\u53ef\u4ee5\u53bb\u9664\u91cd\u590d\u7684\u5546\u54c1\u6570\u636e\uff0c\u4fdd\u8bc1\u6570\u636e\u7684\u552f\u4e00\u6027\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n\u8bfb\u53d6\u5546\u54c1\u6570\u636e<\/strong><\/h2>\ndf = pd.read_csv('products.csv')<\/p>\n
\u53bb\u9664\u91cd\u590d\u6570\u636e<\/strong><\/h2>\ndf.drop_duplicates(inplace=True)<\/p>\n
\u4fdd\u5b58\u53bb\u91cd\u540e\u7684\u6570\u636e<\/strong><\/h2>\ndf.to_csv('products_clean.csv', index=False)<\/p>\n
print('\u5546\u54c1\u6570\u636e\u5df2\u53bb\u91cd\u5e76\u4fdd\u5b58\u5230products_clean.csv\u6587\u4ef6\u4e2d')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6\u5546\u54c1\u6570\u636e\uff0c\u5e76\u4f7f\u7528drop_duplicates\u65b9\u6cd5\u53bb\u9664\u91cd\u590d\u6570\u636e\u3002<\/p>\n<\/p>\n
\n- \u7f3a\u5931\u503c\u5904\u7406<\/strong><\/li>\n<\/ol>\n
\u7f3a\u5931\u503c\u5904\u7406\u53ef\u4ee5\u586b\u8865\u6216\u5220\u9664\u6570\u636e\u4e2d\u7684\u7f3a\u5931\u503c\uff0c\u4fdd\u8bc1\u6570\u636e\u7684\u5b8c\u6574\u6027\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n\u8bfb\u53d6\u5546\u54c1\u6570\u636e<\/strong><\/h2>\ndf = pd.read_csv('products.csv')<\/p>\n
\u586b\u8865\u7f3a\u5931\u503c<\/strong><\/h2>\ndf.fillna('\u672a\u77e5', inplace=True)<\/p>\n
\u4fdd\u5b58\u5904\u7406\u540e\u7684\u6570\u636e<\/strong><\/h2>\ndf.to_csv('products_clean.csv', index=False)<\/p>\n
print('\u5546\u54c1\u6570\u636e\u4e2d\u7684\u7f3a\u5931\u503c\u5df2\u5904\u7406\u5e76\u4fdd\u5b58\u5230products_clean.csv\u6587\u4ef6\u4e2d')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6\u5546\u54c1\u6570\u636e\uff0c\u5e76\u4f7f\u7528fillna\u65b9\u6cd5\u586b\u8865\u7f3a\u5931\u503c\u3002<\/p>\n<\/p>\n
\n- \u6570\u636e\u683c\u5f0f\u8f6c\u6362<\/strong><\/li>\n<\/ol>\n
\u6570\u636e\u683c\u5f0f\u8f6c\u6362\u53ef\u4ee5\u5c06\u6570\u636e\u8f6c\u6362\u4e3a\u7edf\u4e00\u7684\u683c\u5f0f\uff0c\u4fbf\u4e8e\u540e\u7eed\u5206\u6790\u3002\u4f8b\u5982\uff0c\u5c06\u4ef7\u683c\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u503c\u578b\u6570\u636e\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n\u8bfb\u53d6\u5546\u54c1\u6570\u636e<\/strong><\/h2>\ndf = pd.read_csv('products.csv')<\/p>\n
\u5c06\u4ef7\u683c\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u503c\u578b<\/strong><\/h2>\ndf['price'] = df['price'].str.replace('\u5143', '').astype(float)<\/p>\n
\u4fdd\u5b58\u5904\u7406\u540e\u7684\u6570\u636e<\/strong><\/h2>\ndf.to_csv('products_clean.csv', index=False)<\/p>\n
print('\u5546\u54c1\u6570\u636e\u7684\u4ef7\u683c\u5df2\u8f6c\u6362\u4e3a\u6570\u503c\u578b\u5e76\u4fdd\u5b58\u5230products_clean.csv\u6587\u4ef6\u4e2d')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6\u5546\u54c1\u6570\u636e\uff0c\u5e76\u4f7f\u7528str.replace\u548castype\u65b9\u6cd5\u5c06\u4ef7\u683c\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u503c\u578b\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u6570\u636e\u53ef\u89c6\u5316<\/h3>\n<\/p>\n
\u6570\u636e\u53ef\u89c6\u5316\u53ef\u4ee5\u76f4\u89c2\u5730\u5c55\u793a\u5546\u54c1\u6570\u636e\u7684\u5206\u5e03\u548c\u53d8\u5316\u8d8b\u52bf\uff0c\u4fbf\u4e8e\u5206\u6790\u548c\u51b3\u7b56\u3002\u5e38\u7528\u7684\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\u5305\u62ecMatplotlib\u3001Seaborn\u3001Plotly\u7b49\u3002<\/p>\n<\/p>\n
\n- \u4f7f\u7528Matplotlib\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/li>\n<\/ol>\n
Matplotlib\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u9002\u7528\u4e8e\u7ed8\u5236\u5404\u79cd\u56fe\u8868\u3002\u4f8b\u5982\uff0c\u7ed8\u5236\u5546\u54c1\u4ef7\u683c\u5206\u5e03\u56fe\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\nimport matplotlib.pyplot as plt<\/p>\n
\u8bfb\u53d6\u5546\u54c1\u6570\u636e<\/strong><\/h2>\ndf = pd.read_csv('products_clean.csv')<\/p>\n
\u7ed8\u5236\u5546\u54c1\u4ef7\u683c\u5206\u5e03\u56fe<\/strong><\/h2>\nplt.hist(df['price'], bins=20, edgecolor='k')<\/p>\n
plt.xlabel('\u4ef7\u683c')<\/p>\n
plt.ylabel('\u6570\u91cf')<\/p>\n
plt.title('\u5546\u54c1\u4ef7\u683c\u5206\u5e03\u56fe')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6\u5546\u54c1\u6570\u636e\uff0c\u5e76\u4f7f\u7528Matplotlib\u5e93\u7ed8\u5236\u5546\u54c1\u4ef7\u683c\u5206\u5e03\u56fe\u3002<\/p>\n<\/p>\n
\n- \u4f7f\u7528Seaborn\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/li>\n<\/ol>\n
Seaborn\u662f\u4e00\u4e2a\u57fa\u4e8eMatplotlib\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u9002\u7528\u4e8e\u7ed8\u5236\u590d\u6742\u7684\u7edf\u8ba1\u56fe\u8868\u3002\u4f8b\u5982\uff0c\u7ed8\u5236\u5546\u54c1\u4ef7\u683c\u4e0e\u8bc4\u5206\u7684\u5173\u7cfb\u56fe\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\nimport seaborn as sns<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u8bfb\u53d6\u5546\u54c1\u6570\u636e<\/strong><\/h2>\ndf = pd.read_csv('products_clean.csv')<\/p>\n
\u7ed8\u5236\u5546\u54c1\u4ef7\u683c\u4e0e\u8bc4\u5206\u7684\u5173\u7cfb\u56fe<\/strong><\/h2>\nsns.scatterplot(x='price', y='rating', data=df)<\/p>\n
plt.xlabel('\u4ef7\u683c')<\/p>\n
plt.ylabel('\u8bc4\u5206')<\/p>\n
plt.title('\u5546\u54c1\u4ef7\u683c\u4e0e\u8bc4\u5206\u7684\u5173\u7cfb\u56fe')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6\u5546\u54c1\u6570\u636e\uff0c\u5e76\u4f7f\u7528Seaborn\u5e93\u7ed8\u5236\u5546\u54c1\u4ef7\u683c\u4e0e\u8bc4\u5206\u7684\u5173\u7cfb\u56fe\u3002<\/p>\n<\/p>\n
\n- \u4f7f\u7528Plotly\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/li>\n<\/ol>\n
Plotly\u662f\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u9002\u7528\u4e8e\u7ed8\u5236\u4ea4\u4e92\u5f0f\u56fe\u8868\u3002\u4f8b\u5982\uff0c\u7ed8\u5236\u5546\u54c1\u4ef7\u683c\u53d8\u5316\u8d8b\u52bf\u56fe\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\nimport plotly.express as px<\/p>\n
\u8bfb\u53d6\u5546\u54c1\u6570\u636e<\/strong><\/h2>\ndf = pd.read_csv('products_clean.csv')<\/p>\n
\u7ed8\u5236\u5546\u54c1\u4ef7\u683c\u53d8\u5316\u8d8b\u52bf\u56fe<\/strong><\/h2>\nfig = px.line(df, x='date', y='price', title='\u5546\u54c1\u4ef7\u683c\u53d8\u5316\u8d8b\u52bf\u56fe')<\/p>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6\u5546\u54c1\u6570\u636e\uff0c\u5e76\u4f7f\u7528Plotly\u5e93\u7ed8\u5236\u5546\u54c1\u4ef7\u683c\u53d8\u5316\u8d8b\u52bf\u56fe\u3002<\/p>\n<\/p>\n
\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Python\u722c\u53d6\u5546\u54c1\u6570\u636e\u7684\u5173\u952e\u6b65\u9aa4\uff0c\u5305\u62ec\u9009\u62e9\u5408\u9002\u7684\u5e93\u3001\u83b7\u53d6\u76ee\u6807\u7f51\u9875\u7684URL\u3001\u89e3\u6790\u7f51\u9875\u6570\u636e\u3001\u5b58\u50a8\u6570\u636e\u3001\u5904\u7406\u53cd\u722c\u866b\u673a\u5236\u3001\u6570\u636e\u6e05\u6d17\u548c\u5206\u6790\u3001\u6570\u636e\u53ef\u89c6\u5316\u7b49\u3002\u901a\u8fc7\u5b9e\u9645\u4ee3\u7801\u793a\u4f8b\uff0c\u6211\u4eec\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528Requests\u548cBeautifulSoup\u5e93\u3001Selenium\u5e93\u3001Scrapy\u6846\u67b6\u7b49\u5de5\u5177\u8fdb\u884c\u5546\u54c1\u6570\u636e\u722c\u53d6\uff0c\u5e76\u4ecb\u7ecd\u4e86\u6570\u636e\u5b58\u50a8\u3001\u6e05\u6d17\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
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\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n \u5982\u4f55\u9009\u62e9\u5408\u9002\u7684Python\u5e93\u8fdb\u884c\u5546\u54c1\u722c\u53d6\uff1f<\/strong>
\u5728\u8fdb\u884c\u5546\u54c1\u722c\u53d6\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684Python\u5e93\u81f3\u5173\u91cd\u8981\u3002\u5e38\u7528\u7684\u5e93\u5305\u62ecBeautiful Soup\u3001Scrapy\u548cRequests\u3002Beautiful Soup\u7528\u4e8e\u89e3\u6790HTML\u6587\u6863\uff0c\u9002\u5408\u5c0f\u89c4\u6a21\u722c\u866b\uff1bScrapy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6846\u67b6\uff0c\u9002\u5408\u5927\u89c4\u6a21\u6570\u636e\u6293\u53d6\uff1bRequests\u5219\u7528\u4e8e\u53d1\u9001\u7f51\u7edc\u8bf7\u6c42\uff0c\u7b80\u5355\u6613\u7528\u3002\u6839\u636e\u9879\u76ee\u9700\u6c42\uff0c\u5408\u7406\u9009\u62e9\u5e93\u53ef\u4ee5\u63d0\u9ad8\u722c\u53d6\u6548\u7387\u548c\u4ee3\u7801\u53ef\u7ef4\u62a4\u6027\u3002<\/p>\n\u5728\u722c\u53d6\u5546\u54c1\u6570\u636e\u65f6\uff0c\u5982\u4f55\u5904\u7406\u53cd\u722c\u866b\u673a\u5236\uff1f<\/strong>
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<\/p>\n