{"id":1035950,"date":"2024-12-31T12:03:01","date_gmt":"2024-12-31T04:03:01","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1035950.html"},"modified":"2024-12-31T12:03:04","modified_gmt":"2024-12-31T04:03:04","slug":"python%e5%a6%82%e4%bd%95%e5%ae%9e%e7%8e%b0%e5%a4%9a%e6%98%8e%e7%bb%86%e8%87%aa%e5%8a%a8%e5%8c%96","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1035950.html","title":{"rendered":"python\u5982\u4f55\u5b9e\u73b0\u591a\u660e\u7ec6\u81ea\u52a8\u5316"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/35bd5f94-bec3-463d-8c5c-87d52f1396b9.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u5982\u4f55\u5b9e\u73b0\u591a\u660e\u7ec6\u81ea\u52a8\u5316\" \/><\/p>\n<p><p> <strong>Python\u5b9e\u73b0\u591a\u660e\u7ec6\u81ea\u52a8\u5316<\/strong><\/p>\n<\/p>\n<p><p><strong>Python\u5b9e\u73b0\u591a\u660e\u7ec6\u81ea\u52a8\u5316\u7684\u6838\u5fc3\u5728\u4e8e\uff1a\u5229\u7528Pandas\u8fdb\u884c\u6570\u636e\u5904\u7406\u3001\u4f7f\u7528\u5faa\u73af\u548c\u6761\u4ef6\u5224\u65ad\u5b9e\u73b0\u81ea\u52a8\u5316\u5904\u7406\u3001\u7ed3\u5408\u8c03\u5ea6\u5de5\u5177\u8fdb\u884c\u4efb\u52a1\u81ea\u52a8\u6267\u884c\u3002<\/strong>\u5176\u4e2d\uff0cPandas\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u5c24\u4e3a\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u80fd\u591f\u9ad8\u6548\u5730\u8bfb\u53d6\u3001\u5904\u7406\u548c\u5b58\u50a8\u6570\u636e\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u5982\u4f55\u4f7f\u7528Python\u5b9e\u73b0\u591a\u660e\u7ec6\u7684\u81ea\u52a8\u5316\u5904\u7406\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001Pandas\u6570\u636e\u5904\u7406<\/h3>\n<\/p>\n<p><p>Pandas\u662fPython\u4e2d\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u80fd\u591f\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u8bfb\u53d6\u3001\u5904\u7406\u548c\u5b58\u50a8\u3002<\/p>\n<\/p>\n<p><h4>1.1 \u6570\u636e\u8bfb\u53d6<\/h4>\n<\/p>\n<p><p>Pandas\u652f\u6301\u8bfb\u53d6\u591a\u79cd\u683c\u5f0f\u7684\u6570\u636e\uff0c\u5982CSV\u3001Excel\u3001SQL\u6570\u636e\u5e93\u7b49\u3002\u6211\u4eec\u4ee5CSV\u6587\u4ef6\u4e3a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n<p>data = pd.read_csv(&#39;data.csv&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8bfb\u53d6Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = pd.read_excel(&#39;data.xlsx&#39;, sheet_name=&#39;Sheet1&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>1.2 \u6570\u636e\u5904\u7406<\/h4>\n<\/p>\n<p><p>Pandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u5982\u8fc7\u6ee4\u3001\u5206\u7ec4\u3001\u805a\u5408\u7b49\u3002<\/p>\n<\/p>\n<p><p><strong>\u8fc7\u6ee4\u6570\u636e\uff1a<\/strong><\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8fc7\u6ee4\u51fa\u67d0\u5217\u503c\u6ee1\u8db3\u6761\u4ef6\u7684\u6570\u636e<\/p>\n<p>filtered_data = data[data[&#39;column_name&#39;] &gt; threshold]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u5206\u7ec4\u548c\u805a\u5408\uff1a<\/strong><\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6309\u67d0\u5217\u5206\u7ec4\u5e76\u8ba1\u7b97\u6bcf\u7ec4\u7684\u5e73\u5747\u503c<\/p>\n<p>grouped_data = data.groupby(&#39;column_name&#39;).mean()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>1.3 \u6570\u636e\u5b58\u50a8<\/h4>\n<\/p>\n<p><p>\u5904\u7406\u5b8c\u7684\u6570\u636e\u53ef\u4ee5\u5b58\u50a8\u5230\u4e0d\u540c\u7684\u683c\u5f0f\u4e2d\uff0c\u5982CSV\u3001Excel\u3001SQL\u6570\u636e\u5e93\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5b58\u50a8\u4e3aCSV\u6587\u4ef6<\/p>\n<p>filtered_data.to_csv(&#39;filtered_data.csv&#39;, index=False)<\/p>\n<h2><strong>\u5b58\u50a8\u4e3aExcel\u6587\u4ef6<\/strong><\/h2>\n<p>filtered_data.to_excel(&#39;filtered_data.xlsx&#39;, sheet_name=&#39;Sheet1&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u5faa\u73af\u548c\u6761\u4ef6\u5224\u65ad\u5b9e\u73b0\u81ea\u52a8\u5316\u5904\u7406<\/h3>\n<\/p>\n<p><p>\u5728\u5904\u7406\u591a\u660e\u7ec6\u6570\u636e\u65f6\uff0c\u5f80\u5f80\u9700\u8981\u5bf9\u4e0d\u540c\u7684\u6570\u636e\u96c6\u8fdb\u884c\u76f8\u540c\u7684\u5904\u7406\uff0c\u8fd9\u65f6\u5faa\u73af\u548c\u6761\u4ef6\u5224\u65ad\u5c31\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<p><h4>2.1 \u4f7f\u7528\u5faa\u73af\u5904\u7406\u591a\u4e2a\u6587\u4ef6<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6211\u4eec\u6709\u591a\u4e2aCSV\u6587\u4ef6\u9700\u8981\u5904\u7406\uff0c\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u6279\u91cf\u5904\u7406\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<h2><strong>\u83b7\u53d6\u76ee\u5f55\u4e0b\u7684\u6240\u6709CSV\u6587\u4ef6<\/strong><\/h2>\n<p>file_list = [f for f in os.listdir(&#39;data_directory&#39;) if f.endswith(&#39;.csv&#39;)]<\/p>\n<p>for file in file_list:<\/p>\n<p>    # \u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<p>    data = pd.read_csv(os.path.join(&#39;data_directory&#39;, file))<\/p>\n<p>    # \u6570\u636e\u5904\u7406<\/p>\n<p>    filtered_data = data[data[&#39;column_name&#39;] &gt; threshold]<\/p>\n<p>    # \u5b58\u50a8\u5904\u7406\u540e\u7684\u6570\u636e<\/p>\n<p>    filtered_data.to_csv(os.path.join(&#39;output_directory&#39;, file), index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2.2 \u4f7f\u7528\u6761\u4ef6\u5224\u65ad\u5904\u7406\u4e0d\u540c\u60c5\u51b5<\/h4>\n<\/p>\n<p><p>\u5728\u5904\u7406\u6570\u636e\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e0d\u540c\u7684\u60c5\u51b5\u9700\u8981\u4e0d\u540c\u7684\u5904\u7406\u65b9\u5f0f\uff0c\u8fd9\u65f6\u53ef\u4ee5\u4f7f\u7528\u6761\u4ef6\u5224\u65ad\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">for file in file_list:<\/p>\n<p>    data = pd.read_csv(os.path.join(&#39;data_directory&#39;, file))<\/p>\n<p>    if &#39;specific_column&#39; in data.columns:<\/p>\n<p>        # \u7279\u6b8a\u5904\u7406<\/p>\n<p>        processed_data = data[data[&#39;specific_column&#39;] &gt; threshold]<\/p>\n<p>    else:<\/p>\n<p>        # \u5e38\u89c4\u5904\u7406<\/p>\n<p>        processed_data = data[data[&#39;column_name&#39;] &gt; threshold]<\/p>\n<p>    processed_data.to_csv(os.path.join(&#39;output_directory&#39;, file), index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u7ed3\u5408\u8c03\u5ea6\u5de5\u5177\u8fdb\u884c\u4efb\u52a1\u81ea\u52a8\u6267\u884c<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u5b9e\u73b0\u81ea\u52a8\u5316\uff0c\u6211\u4eec\u53ef\u4ee5\u7ed3\u5408\u8c03\u5ea6\u5de5\u5177\uff08\u5982Cron\u3001Task Scheduler\uff09\u5b9a\u65f6\u6267\u884cPython\u811a\u672c\u3002<\/p>\n<\/p>\n<p><h4>3.1 \u4f7f\u7528Cron\uff08Linux\uff09<\/h4>\n<\/p>\n<p><p>\u5728Linux\u7cfb\u7edf\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Cron\u5b9a\u65f6\u6267\u884cPython\u811a\u672c\u3002\u9996\u5148\uff0c\u7f16\u8f91Cron\u4efb\u52a1\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">crontab -e<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\uff0c\u6dfb\u52a0\u4efb\u52a1\uff0c\u4f8b\u5982\u6bcf\u5929\u51cc\u66681\u70b9\u6267\u884c\u811a\u672c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">0 1 * * * \/usr\/bin\/python3 \/path\/to\/your_script.py<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3.2 \u4f7f\u7528Task Scheduler\uff08Windows\uff09<\/h4>\n<\/p>\n<p><p>\u5728Windows\u7cfb\u7edf\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Task Scheduler\u5b9a\u65f6\u6267\u884cPython\u811a\u672c\u3002\u521b\u5efa\u65b0\u7684\u4efb\u52a1\uff0c\u8bbe\u7f6e\u89e6\u53d1\u5668\uff08\u5982\u6bcf\u5929\u51cc\u66681\u70b9\uff09\uff0c\u7136\u540e\u5728\u64cd\u4f5c\u4e2d\u6dfb\u52a0\u6267\u884cPython\u811a\u672c\u7684\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u591a\u660e\u7ec6\u81ea\u52a8\u5316\u5904\u7406\u793a\u4f8b<\/h3>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u7ed3\u5408\u4e0a\u8ff0\u5185\u5bb9\uff0c\u7ed9\u51fa\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u5b9e\u73b0\u591a\u660e\u7ec6\u7684\u81ea\u52a8\u5316\u5904\u7406\u3002<\/p>\n<\/p>\n<p><h4>4.1 \u793a\u4f8b\u8bf4\u660e<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6211\u4eec\u6709\u591a\u4e2aExcel\u6587\u4ef6\uff0c\u6bcf\u4e2a\u6587\u4ef6\u5305\u542b\u591a\u5f20\u5de5\u4f5c\u8868\uff0c\u6bcf\u5f20\u5de5\u4f5c\u8868\u5305\u542b\u9700\u8981\u5904\u7406\u7684\u6570\u636e\u3002\u6211\u4eec\u7684\u4efb\u52a1\u662f\u8bfb\u53d6\u6bcf\u4e2a\u6587\u4ef6\u7684\u6bcf\u5f20\u5de5\u4f5c\u8868\uff0c\u5bf9\u6570\u636e\u8fdb\u884c\u8fc7\u6ee4\u5904\u7406\uff0c\u7136\u540e\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u5b58\u50a8\u5230\u65b0\u7684Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><h4>4.2 \u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<p>import pandas as pd<\/p>\n<p>def process_data(file_path, output_directory):<\/p>\n<p>    # \u8bfb\u53d6Excel\u6587\u4ef6<\/p>\n<p>    xls = pd.ExcelFile(file_path)<\/p>\n<p>    # \u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel writer<\/p>\n<p>    writer = pd.ExcelWriter(os.path.join(output_directory, os.path.basename(file_path)), engine=&#39;xlsxwriter&#39;)<\/p>\n<p>    for sheet_name in xls.sheet_names:<\/p>\n<p>        # \u8bfb\u53d6\u6bcf\u5f20\u5de5\u4f5c\u8868<\/p>\n<p>        data = pd.read_excel(xls, sheet_name=sheet_name)<\/p>\n<p>        # \u6570\u636e\u8fc7\u6ee4\u5904\u7406<\/p>\n<p>        filtered_data = data[data[&#39;column_name&#39;] &gt; threshold]<\/p>\n<p>        # \u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u5199\u5165\u65b0\u7684\u5de5\u4f5c\u8868<\/p>\n<p>        filtered_data.to_excel(writer, sheet_name=sheet_name, index=False)<\/p>\n<p>    # \u4fdd\u5b58\u65b0\u7684Excel\u6587\u4ef6<\/p>\n<p>    writer.save()<\/p>\n<p>def m<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>n():<\/p>\n<p>    # \u83b7\u53d6\u76ee\u5f55\u4e0b\u7684\u6240\u6709Excel\u6587\u4ef6<\/p>\n<p>    file_list = [f for f in os.listdir(&#39;data_directory&#39;) if f.endswith(&#39;.xlsx&#39;)]<\/p>\n<p>    for file in file_list:<\/p>\n<p>        process_data(os.path.join(&#39;data_directory&#39;, file), &#39;output_directory&#39;)<\/p>\n<p>if __name__ == &#39;__main__&#39;:<\/p>\n<p>    main()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u793a\u4f8b\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Python\u5b9e\u73b0\u591a\u660e\u7ec6\u7684\u81ea\u52a8\u5316\u5904\u7406\u3002\u6838\u5fc3\u5728\u4e8e\u5229\u7528Pandas\u8fdb\u884c\u6570\u636e\u8bfb\u53d6\u3001\u5904\u7406\u548c\u5b58\u50a8\uff0c\u7ed3\u5408\u5faa\u73af\u548c\u6761\u4ef6\u5224\u65ad\u5b9e\u73b0\u6279\u91cf\u5904\u7406\uff0c\u6700\u540e\u901a\u8fc7\u8c03\u5ea6\u5de5\u5177\u5b9e\u73b0\u4efb\u52a1\u7684\u81ea\u52a8\u6267\u884c\u3002<strong>\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5904\u7406\u3001\u6279\u91cf\u5904\u7406\u548c\u6761\u4ef6\u5224\u65ad\u3001\u7ed3\u5408\u8c03\u5ea6\u5de5\u5177\u81ea\u52a8\u6267\u884c<\/strong>\u662f\u5b9e\u73b0\u591a\u660e\u7ec6\u81ea\u52a8\u5316\u5904\u7406\u7684\u5173\u952e\u3002\u901a\u8fc7\u8fd9\u4e9b\u6280\u672f\uff0c\u6211\u4eec\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\uff0c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u5b9e\u73b0\u591a\u660e\u7ec6\u81ea\u52a8\u5316\u7684\u57fa\u672c\u6b65\u9aa4\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>\u8981\u5b9e\u73b0\u591a\u660e\u7ec6\u81ea\u52a8\u5316\uff0c\u9996\u5148\u9700\u8981\u786e\u5b9a\u6570\u636e\u6e90\uff0c\u4f8b\u5982Excel\u6587\u4ef6\u3001\u6570\u636e\u5e93\u6216API\u3002\u63a5\u7740\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u5e93\uff0c\u5982Pandas\u5904\u7406\u6570\u636e\uff0cNumPy\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\uff0c\u548cOpenPyXL\u6216SQLAlchemy\u8fdb\u884c\u6587\u4ef6\u6216\u6570\u636e\u5e93\u64cd\u4f5c\u3002\u901a\u8fc7\u7f16\u5199\u811a\u672c\uff0c\u81ea\u52a8\u5316\u6570\u636e\u63d0\u53d6\u3001\u5904\u7406\u548c\u751f\u6210\u62a5\u544a\u7684\u6d41\u7a0b\uff0c\u4ece\u800c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<p><strong>\u5728\u591a\u660e\u7ec6\u81ea\u52a8\u5316\u8fc7\u7a0b\u4e2d\uff0c\u5982\u4f55\u786e\u4fdd\u6570\u636e\u7684\u51c6\u786e\u6027\u548c\u5b8c\u6574\u6027\uff1f<\/strong><br 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