{"id":1107597,"date":"2025-01-08T16:51:33","date_gmt":"2025-01-08T08:51:33","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1107597.html"},"modified":"2025-01-08T16:51:35","modified_gmt":"2025-01-08T08:51:35","slug":"python%e7%9a%84%e8%82%a1%e7%a5%a8%e6%95%b0%e6%8d%ae%e5%a6%82%e4%bd%95%e5%ad%98%e4%b8%baexcel","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1107597.html","title":{"rendered":"python\u7684\u80a1\u7968\u6570\u636e\u5982\u4f55\u5b58\u4e3aexcel"},"content":{"rendered":"

\"python\u7684\u80a1\u7968\u6570\u636e\u5982\u4f55\u5b58\u4e3aexcel\"<\/p>\n

Python\u7684\u80a1\u7968\u6570\u636e\u5982\u4f55\u5b58\u4e3aExcel<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528Python\u4ece\u7f51\u7edc\u83b7\u53d6\u80a1\u7968\u6570\u636e\u3001\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5904\u7406\u3001\u5c06\u6570\u636e\u5b58\u50a8\u4e3aExcel\u6587\u4ef6<\/strong>\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Python\u7684pandas\u5e93\u548cyfinance\u5e93\u6765\u83b7\u53d6\u548c\u5904\u7406\u80a1\u7968\u6570\u636e\uff0c\u7136\u540e\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u5b58\u50a8\u5230Excel\u6587\u4ef6\u4e2d\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e2a\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u83b7\u53d6\u80a1\u7968\u6570\u636e<\/h3>\n<\/p>\n

\u83b7\u53d6\u80a1\u7968\u6570\u636e\u662f\u6211\u4eec\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u7b2c\u4e00\u6b65\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528yfinance\u5e93\uff0c\u8fd9\u4e2a\u5e93\u975e\u5e38\u65b9\u4fbf\uff0c\u53ef\u4ee5\u4eceYahoo Finance\u83b7\u53d6\u5386\u53f2\u80a1\u7968\u6570\u636e\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u8fd9\u4e2a\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n

pip install yfinance<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u7f16\u5199\u4ee3\u7801\u6765\u83b7\u53d6\u80a1\u7968\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
import yfinance as yf<\/p>\n
\u83b7\u53d6\u82f9\u679c\u516c\u53f8\u7684\u80a1\u7968\u6570\u636e<\/strong><\/h2>\n
ticker = 'AAPL'<\/p>\n
data = yf.download(ticker, start='2020-01-01', end='2021-01-01')<\/p>\n
print(data.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5904\u7406<\/h3>\n<\/p>\n
\u83b7\u53d6\u5230\u80a1\u7968\u6570\u636e\u540e\uff0c\u6211\u4eec\u9700\u8981\u4f7f\u7528pandas\u5e93\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\u3002Pandas\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u80fd\u591f\u5e2e\u52a9\u6211\u4eec\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u6570\u636e\u8f6c\u6362\u7b49\u64cd\u4f5c\u3002\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\u5e93\uff1a<\/p>\n<\/p>\n
pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528pandas\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\uff0c\u4f8b\u5982\u5220\u9664\u7f3a\u5931\u503c\u3001\u8ba1\u7b97\u79fb\u52a8\u5e73\u5747\u7ebf\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u5220\u9664\u7f3a\u5931\u503c<\/strong><\/h2>\n
data.dropna(inplace=True)<\/p>\n
\u8ba1\u7b9710\u5929\u7684\u79fb\u52a8\u5e73\u5747\u7ebf<\/strong><\/h2>\n
data['10MA'] = data['Close'].rolling(window=10).mean()<\/p>\n
print(data.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5c06\u6570\u636e\u5b58\u50a8\u4e3aExcel\u6587\u4ef6<\/h3>\n<\/p>\n
\u5904\u7406\u5b8c\u6570\u636e\u540e\uff0c\u6211\u4eec\u9700\u8981\u5c06\u6570\u636e\u5b58\u50a8\u5230Excel\u6587\u4ef6\u4e2d\u3002Pandas\u63d0\u4f9b\u4e86\u975e\u5e38\u65b9\u4fbf\u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e2a\u529f\u80fd\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528to_excel<\/code>\u65b9\u6cd5\u5c06DataFrame\u5b58\u50a8\u4e3aExcel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
# \u5c06\u6570\u636e\u5b58\u50a8\u5230Excel\u6587\u4ef6<\/p>\n
data.to_excel('stock_data.xlsx', sheet_name='AAPL')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u6dfb\u52a0\u66f4\u591a\u7684\u80a1\u7968\u6570\u636e<\/h3>\n<\/p>\n
\u5982\u679c\u6211\u4eec\u9700\u8981\u83b7\u53d6\u591a\u4e2a\u80a1\u7968\u7684\u6570\u636e\u5e76\u5b58\u50a8\u5230\u540c\u4e00\u4e2aExcel\u6587\u4ef6\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528ExcelWriter\u6765\u5b9e\u73b0\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
tickers = ['AAPL', 'MSFT', 'GOOGL']<\/p>\n
\u521b\u5efa\u4e00\u4e2aExcelWriter\u5bf9\u8c61<\/strong><\/h2>\n
with pd.ExcelWriter('stocks_data.xlsx') as writer:<\/p>\n
    for ticker in tickers:<\/p>\n
        data = yf.download(ticker, start='2020-01-01', end='2021-01-01')<\/p>\n
        data.dropna(inplace=True)<\/p>\n
        data['10MA'] = data['Close'].rolling(window=10).mean()<\/p>\n
        data.to_excel(writer, sheet_name=ticker)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u8fdb\u4e00\u6b65\u4f18\u5316<\/h3>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u5bf9\u4e0a\u9762\u7684\u4ee3\u7801\u8fdb\u884c\u8fdb\u4e00\u6b65\u4f18\u5316\uff0c\u4f8b\u5982\u6dfb\u52a0\u9519\u8bef\u5904\u7406\u3001\u52a8\u6001\u83b7\u53d6\u5f53\u524d\u65e5\u671f\u3001\u5c06\u4ee3\u7801\u5c01\u88c5\u6210\u51fd\u6570\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f18\u5316\u540e\u7684\u7248\u672c\uff1a<\/p>\n<\/p>\n
import yfinance as yf<\/p>\n
import pandas as pd<\/p>\n
from datetime import datetime<\/p>\n
def fetch_and_save_stock_data(tickers, start_date, end_date, file_name):<\/p>\n
    try:<\/p>\n
        with pd.ExcelWriter(file_name) as writer:<\/p>\n
            for ticker in tickers:<\/p>\n
                data = yf.download(ticker, start=start_date, end=end_date)<\/p>\n
                data.dropna(inplace=True)<\/p>\n
                data['10MA'] = data['Close'].rolling(window=10).mean()<\/p>\n
                data.to_excel(writer, sheet_name=ticker)<\/p>\n
        print(f'Successfully saved data to {file_name}')<\/p>\n
    except Exception as e:<\/p>\n
        print(f'Error: {e}')<\/p>\n
\u83b7\u53d6\u5f53\u524d\u65e5\u671f<\/strong><\/h2>\n
current_date = datetime.now().strftime('%Y-%m-%d')<\/p>\n
\u80a1\u7968\u4ee3\u7801\u5217\u8868<\/strong><\/h2>\n
tickers = ['AAPL', 'MSFT', 'GOOGL']<\/p>\n
\u8c03\u7528\u51fd\u6570<\/strong><\/h2>\n
fetch_and_save_stock_data(tickers, '2020-01-01', current_date, 'stocks_data.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5b9a\u65f6\u4efb\u52a1<\/h3>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5b9a\u65f6\u4efb\u52a1\u5e93\u6765\u5b9a\u671f\u83b7\u53d6\u80a1\u7968\u6570\u636e\u5e76\u5b58\u50a8\u5230Excel\u6587\u4ef6\u4e2d\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528APScheduler\u5e93\u6765\u5b9e\u73b0\u5b9a\u65f6\u4efb\u52a1\u3002\u9996\u5148\uff0c\u5b89\u88c5APScheduler\u5e93\uff1a<\/p>\n<\/p>\n
pip install apscheduler<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u7f16\u5199\u4ee3\u7801\u6765\u5b9a\u671f\u6267\u884c\u4efb\u52a1\uff1a<\/p>\n<\/p>\n
from apscheduler.schedulers.blocking import BlockingScheduler<\/p>\n
def job():<\/p>\n
    fetch_and_save_stock_data(tickers, '2020-01-01', current_date, 'stocks_data.xlsx')<\/p>\n
scheduler = BlockingScheduler()<\/p>\n
scheduler.add_job(job, 'interval', hours=24)<\/p>\n
scheduler.start()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4ee5\u4e0a\u5c31\u662f\u5982\u4f55\u4f7f\u7528Python\u83b7\u53d6\u80a1\u7968\u6570\u636e\u5e76\u5b58\u50a8\u5230Excel\u6587\u4ef6\u4e2d\u7684\u5b8c\u6574\u8fc7\u7a0b\u3002\u901a\u8fc7\u4f7f\u7528yfinance\u5e93\u83b7\u53d6\u6570\u636e\u3001\u4f7f\u7528pandas\u5e93\u5904\u7406\u6570\u636e\uff0c\u5e76\u6700\u7ec8\u5b58\u50a8\u5230Excel\u6587\u4ef6\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u8fdb\u884c\u80a1\u7968\u6570\u636e\u7684\u5206\u6790\u548c\u5904\u7406\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff01<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5c06Python\u4e2d\u7684\u80a1\u7968\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff1f<\/strong>
\u5c06\u80a1\u7968\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u7684\u6b65\u9aa4\u901a\u5e38\u6d89\u53ca\u4f7f\u7528Pandas\u5e93\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7DataFrame.to_excel()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aExcel\u683c\u5f0f\u3002\u5728\u5bfc\u51fa\u4e4b\u524d\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86openpyxl<\/code>\u5e93\uff0c\u56e0\u4e3a\u5b83\u662f\u5904\u7406Excel\u6587\u4ef6\u7684\u5fc5\u8981\u5de5\u5177\u3002<\/p>\n
\u5728Python\u4e2d\u5b58\u50a8\u80a1\u7968\u6570\u636e\u4e3aExcel\u6587\u4ef6\u9700\u8981\u54ea\u4e9b\u5e93\uff1f<\/strong>
\u4e3a\u4e86\u6210\u529f\u5c06\u80a1\u7968\u6570\u636e\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\uff0c\u901a\u5e38\u9700\u8981\u5b89\u88c5Pandas\u548cOpenPyXL\u8fd9\u4e24\u4e2a\u5e93\u3002Pandas\u7528\u4e8e\u6570\u636e\u5904\u7406\uff0c\u800cOpenPyXL\u5219\u662f\u7528\u4e8eExcel\u6587\u4ef6\u7684\u8bfb\u5199\u3002\u901a\u8fc7\u8fd0\u884cpip install pandas openpyxl<\/code>\u53ef\u4ee5\u8f7b\u677e\u5b89\u88c5\u8fd9\u4e24\u4e2a\u5e93\u3002<\/p>\n
\u5982\u4f55\u5904\u7406\u80a1\u7968\u6570\u636e\u7684\u65f6\u95f4\u5e8f\u5217\uff0c\u4ee5\u4fbf\u5728Excel\u4e2d\u66f4\u597d\u5730\u5c55\u793a\uff1f<\/strong>
\u5728\u5904\u7406\u80a1\u7968\u6570\u636e\u65f6\uff0c\u65f6\u95f4\u5e8f\u5217\u901a\u5e38\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u7ef4\u5ea6\u3002\u53ef\u4ee5\u4f7f\u7528Pandas\u7684pd.to_datetime()<\/code>\u51fd\u6570\u5c06\u65e5\u671f\u5217\u8f6c\u6362\u4e3a\u65f6\u95f4\u6233\u683c\u5f0f\uff0c\u8fd9\u6837\u5728\u5bfc\u51fa\u5230Excel\u65f6\uff0cExcel\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u548c\u5904\u7406\u65e5\u671f\u4fe1\u606f\u3002\u6b64\u5916\uff0c\u4f7f\u7528DataFrame.set_index()<\/code>\u5c06\u65e5\u671f\u5217\u8bbe\u7f6e\u4e3a\u7d22\u5f15\uff0c\u53ef\u4ee5\u4f7f\u6570\u636e\u5728Excel\u4e2d\u66f4\u6613\u4e8e\u9605\u8bfb\u548c\u5206\u6790\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u7684\u80a1\u7968\u6570\u636e\u5982\u4f55\u5b58\u4e3aExcel \u4f7f\u7528Python\u4ece\u7f51\u7edc\u83b7\u53d6\u80a1\u7968\u6570\u636e\u3001\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5904\u7406\u3001\u5c06 […]","protected":false},"author":3,"featured_media":1107606,"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\/1107597"}],"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=1107597"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1107597\/revisions"}],"predecessor-version":[{"id":1107609,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1107597\/revisions\/1107609"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1107606"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1107597"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1107597"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1107597"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}