使用Python从雅虎财经获取行业数据可以通过以下步骤实现:
pip install pandas requests beautifulsoup4
import requests
url = 'https://finance.yahoo.com/industries'
response = requests.get(url)
html_content = response.text
from bs4 import BeautifulSoup
soup = BeautifulSoup(html_content, 'html.parser')
industry_table = soup.find('table', class_='W(100%)')
import pandas as pd
data = []
rows = industry_table.find_all('tr')
for row in rows:
cells = row.find_all('td')
if len(cells) == 3:
industry = cells[0].text.strip()
change = cells[1].text.strip()
percent_change = cells[2].text.strip()
data.append([industry, change, percent_change])
df = pd.DataFrame(data, columns=['Industry', 'Change', 'Percent Change'])
以上是使用Python从雅虎财经获取行业数据的基本步骤。对于更复杂的需求,可以进一步使用Python的数据分析和可视化库进行数据处理和展示。
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