{"id":1124832,"date":"2025-01-08T19:45:25","date_gmt":"2025-01-08T11:45:25","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1124832.html"},"modified":"2025-01-08T19:45:27","modified_gmt":"2025-01-08T11:45:27","slug":"python%e5%a6%82%e4%bd%95%e5%a4%84%e7%90%86%e8%a1%a8%e6%a0%bc%e5%b9%b6%e6%89%be%e5%87%ba%e5%85%b6%e4%bc%9a%e5%91%98","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1124832.html","title":{"rendered":"python\u5982\u4f55\u5904\u7406\u8868\u683c\u5e76\u627e\u51fa\u5176\u4f1a\u5458"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25085731\/07718cfd-1173-4d8d-bd0c-0f51c673273f.webp\" alt=\"python\u5982\u4f55\u5904\u7406\u8868\u683c\u5e76\u627e\u51fa\u5176\u4f1a\u5458\" \/><\/p>\n<p><p> <strong>Python\u5904\u7406\u8868\u683c\u5e76\u627e\u51fa\u5176\u4f1a\u5458\u7684\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528Pandas\u8bfb\u53d6\u8868\u683c\u3001\u901a\u8fc7\u6761\u4ef6\u7b5b\u9009\u4f1a\u5458\u3001\u8fd0\u7528\u6570\u636e\u805a\u5408\u548c\u5206\u7ec4\u3001\u8f93\u51fa\u7ed3\u679c\u5230\u65b0\u7684\u8868\u683c\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528Pandas\u8bfb\u53d6\u8868\u683c\u662f\u57fa\u7840\uff0c\u5b83\u80fd\u65b9\u4fbf\u5730\u5904\u7406\u591a\u79cd\u683c\u5f0f\u7684\u8868\u683c\u6587\u4ef6\uff0c\u5982Excel\u3001CSV\u7b49\u3002Pandas\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u51fd\u6570\u548c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u64cd\u4f5c\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u6b65\u9aa4\u548c\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<hr>\n<p><h2>\u4e00\u3001\u4f7f\u7528PANDAS\u8bfb\u53d6\u8868\u683c<\/h2>\n<\/p>\n<p><p>Pandas\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u6570\u636e\u5904\u7406\u5e93\u4e4b\u4e00\uff0c\u7279\u522b\u9002\u5408\u7528\u4e8e\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5Pandas\u5e93\uff0c\u5982\u679c\u8fd8\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pandas<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f7f\u7528Pandas\u8bfb\u53d6\u8868\u683c\u6570\u636e\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2aExcel\u6587\u4ef6\u201cmembers.xlsx\u201d\uff0c\u91cc\u9762\u5305\u542b\u4e86\u4f1a\u5458\u4fe1\u606f\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>df = pd.read_excel(&#39;members.xlsx&#39;)<\/p>\n<h2><strong>\u67e5\u770b\u524d\u4e94\u884c\u6570\u636e<\/strong><\/h2>\n<p>print(df.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e0a\u8ff0\u4ee3\u7801\u5c06\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u663e\u793a\u524d\u4e94\u884c\u6570\u636e\u3002Pandas\u8fd8\u652f\u6301\u8bfb\u53d6CSV\u3001JSON\u7b49\u591a\u79cd\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u60c5\u51b5\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\">df = pd.read_csv(&#39;members.csv&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u8bfb\u53d6JSON\u6587\u4ef6<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\">df = pd.read_json(&#39;members.json&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e8c\u3001\u901a\u8fc7\u6761\u4ef6\u7b5b\u9009\u4f1a\u5458<\/h2>\n<\/p>\n<p><p>\u5f53\u6211\u4eec\u8bfb\u53d6\u4e86\u8868\u683c\u6570\u636e\u540e\uff0c\u4e0b\u4e00\u6b65\u5c31\u662f\u7b5b\u9009\u51fa\u4f1a\u5458\u3002\u5047\u8bbe\u8868\u683c\u4e2d\u6709\u4e00\u5217\u201cMembership Status\u201d\u6765\u8868\u793a\u4f1a\u5458\u72b6\u6001\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u6761\u4ef6\u7b5b\u9009\u51fa\u6240\u6709\u4f1a\u5458\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u7b5b\u9009\u51fa\u4f1a\u5458<\/p>\n<p>members = df[df[&#39;Membership Status&#39;] == &#39;Member&#39;]<\/p>\n<h2><strong>\u67e5\u770b\u524d\u4e94\u884c\u4f1a\u5458\u6570\u636e<\/strong><\/h2>\n<p>print(members.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u5feb\u901f\u7b5b\u9009\u51fa\u7b26\u5408\u6761\u4ef6\u7684\u4f1a\u5458\u3002\u5982\u679c\u6709\u591a\u4e2a\u6761\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528\u903b\u8f91\u8fd0\u7b97\u7b26\u8fdb\u884c\u7ec4\u5408\u3002<\/p>\n<\/p>\n<p><h3>\u591a\u4e2a\u6761\u4ef6\u7b5b\u9009<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\"># \u7b5b\u9009\u51fa\u6d3b\u8dc3\u4f1a\u5458\u4e14\u5e74\u9f84\u5927\u4e8e30\u5c81\u7684\u4f1a\u5458<\/p>\n<p>active_members = df[(df[&#39;Membership Status&#39;] == &#39;Active Member&#39;) &amp; (df[&#39;Age&#39;] &gt; 30)]<\/p>\n<h2><strong>\u67e5\u770b\u524d\u4e94\u884c\u6d3b\u8dc3\u4f1a\u5458\u6570\u636e<\/strong><\/h2>\n<p>print(active_members.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e09\u3001\u8fd0\u7528\u6570\u636e\u805a\u5408\u548c\u5206\u7ec4<\/h2>\n<\/p>\n<p><p>\u5728\u7b5b\u9009\u51fa\u4f1a\u5458\u540e\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5206\u6790\uff0c\u6bd4\u5982\u7edf\u8ba1\u4e0d\u540c\u4f1a\u5458\u7c7b\u578b\u7684\u6570\u91cf\u3001\u8ba1\u7b97\u5e73\u5747\u5e74\u9f84\u7b49\u3002Pandas\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u805a\u5408\u548c\u5206\u7ec4\u529f\u80fd\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u8fd9\u4e9b\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h3>\u7edf\u8ba1\u4e0d\u540c\u4f1a\u5458\u7c7b\u578b\u7684\u6570\u91cf<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\"># \u7edf\u8ba1\u4e0d\u540c\u4f1a\u5458\u7c7b\u578b\u7684\u6570\u91cf<\/p>\n<p>member_counts = df[&#39;Membership Status&#39;].value_counts()<\/p>\n<p>print(member_counts)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u8ba1\u7b97\u4f1a\u5458\u7684\u5e73\u5747\u5e74\u9f84<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8ba1\u7b97\u4f1a\u5458\u7684\u5e73\u5747\u5e74\u9f84<\/p>\n<p>average_age = members[&#39;Age&#39;].mean()<\/p>\n<p>print(f&#39;Average Age of Members: {average_age}&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u6309\u57ce\u5e02\u5206\u7ec4\u5e76\u8ba1\u7b97\u6bcf\u4e2a\u57ce\u5e02\u7684\u4f1a\u5458\u6570\u91cf<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6309\u57ce\u5e02\u5206\u7ec4\u5e76\u8ba1\u7b97\u6bcf\u4e2a\u57ce\u5e02\u7684\u4f1a\u5458\u6570\u91cf<\/p>\n<p>city_member_counts = members.groupby(&#39;City&#39;).size()<\/p>\n<p>print(city_member_counts)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u56db\u3001\u8f93\u51fa\u7ed3\u679c\u5230\u65b0\u7684\u8868\u683c<\/h2>\n<\/p>\n<p><p>\u5728\u5b8c\u6210\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u7ed3\u679c\u8f93\u51fa\u5230\u65b0\u7684\u8868\u683c\u6587\u4ef6\u4e2d\u3002Pandas\u652f\u6301\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u3001CSV\u7b49\u591a\u79cd\u683c\u5f0f\u3002<\/p>\n<\/p>\n<p><h3>\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5bfc\u51fa\u7b5b\u9009\u51fa\u7684\u4f1a\u5458\u6570\u636e\u5230\u65b0\u7684Excel\u6587\u4ef6<\/p>\n<p>members.to_excel(&#39;filtered_members.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u5bfc\u51fa\u4e3aCSV\u6587\u4ef6<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5bfc\u51fa\u7b5b\u9009\u51fa\u7684\u4f1a\u5458\u6570\u636e\u5230\u65b0\u7684CSV\u6587\u4ef6<\/p>\n<p>members.to_csv(&#39;filtered_members.csv&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u5bfc\u51fa\u4e3aJSON\u6587\u4ef6<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5bfc\u51fa\u7b5b\u9009\u51fa\u7684\u4f1a\u5458\u6570\u636e\u5230\u65b0\u7684JSON\u6587\u4ef6<\/p>\n<p>members.to_json(&#39;filtered_members.json&#39;, orient=&#39;records&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e94\u3001\u603b\u7ed3<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Python\u548cPandas\u5e93\u9ad8\u6548\u5730\u5904\u7406\u8868\u683c\u6570\u636e\u5e76\u627e\u51fa\u4f1a\u5458\u3002\u4ece\u8bfb\u53d6\u8868\u683c\u6570\u636e\u3001\u901a\u8fc7\u6761\u4ef6\u7b5b\u9009\u3001\u8fd0\u7528\u6570\u636e\u805a\u5408\u548c\u5206\u7ec4\u3001\u5230\u8f93\u51fa\u7ed3\u679c\u5230\u65b0\u7684\u8868\u683c\uff0cPandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u51fd\u6570\u548c\u65b9\u6cd5\uff0c\u4f7f\u5f97\u6570\u636e\u5904\u7406\u53d8\u5f97\u7b80\u5355\u800c\u9ad8\u6548\u3002<\/p>\n<\/p>\n<p><p>Pandas\u4e0d\u4ec5\u9002\u7528\u4e8e\u7b80\u5355\u7684\u6570\u636e\u7b5b\u9009\u548c\u5206\u6790\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u548c\u7edf\u8ba1\u5206\u6790\u3002\u638c\u63e1Pandas\u7684\u57fa\u672c\u7528\u6cd5\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n<p><p>\u5e0c\u671b\u901a\u8fc7\u8fd9\u7bc7\u6587\u7ae0\uff0c\u4f60\u80fd\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1Python\u5982\u4f55\u5904\u7406\u8868\u683c\u5e76\u627e\u51fa\u5176\u4f1a\u5458\u7684\u65b9\u6cd5\u3002\u5982\u679c\u4f60\u6709\u4efb\u4f55\u95ee\u9898\u6216\u9700\u8981\u8fdb\u4e00\u6b65\u7684\u5e2e\u52a9\uff0c\u8bf7\u968f\u65f6\u4e0e\u6211\u4eec\u8054\u7cfb\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u548c\u5904\u7406\u8868\u683c\u6570\u636e\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u6765\u8bfb\u53d6\u548c\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86Pandas\u5e93\u3002\u4f7f\u7528<code>pd.read_csv()<\/code>\u53ef\u4ee5\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u800c<code>pd.read_excel()<\/code>\u5219\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u5904\u7406\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u5404\u79cd\u6570\u636e\u64cd\u4f5c\u65b9\u6cd5\uff0c\u4f8b\u5982\u7b5b\u9009\u3001\u5206\u7ec4\u548c\u805a\u5408\uff0c\u4ee5\u4fbf\u63d0\u53d6\u6240\u9700\u7684\u4fe1\u606f\u3002<\/p>\n<p><strong>\u5982\u4f55\u4ece\u8868\u683c\u4e2d\u7b5b\u9009\u51fa\u4f1a\u5458\u4fe1\u606f\uff1f<\/strong><br \/>\u5728\u5904\u7406\u5b8c\u8868\u683c\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u6761\u4ef6\u7b5b\u9009\u6765\u627e\u51fa\u4f1a\u5458\u4fe1\u606f\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u4f1a\u5458\u4fe1\u606f\u5b58\u50a8\u5728\u201c\u4f1a\u5458\u201d\u5217\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>df[df[&#39;\u4f1a\u5458&#39;] == True]<\/code>\u6765\u7b5b\u9009\u51fa\u6240\u6709\u4f1a\u5458\u8bb0\u5f55\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8f7b\u677e\u5f97\u5230\u7b26\u5408\u6761\u4ef6\u7684\u4f1a\u5458\u6570\u636e\uff0c\u4fbf\u4e8e\u540e\u7eed\u5206\u6790\u3002<\/p>\n<p><strong>Python\u5904\u7406\u8868\u683c\u6570\u636e\u65f6\uff0c\u6709\u54ea\u4e9b\u5e38\u89c1\u7684\u9519\u8bef\u9700\u8981\u907f\u514d\uff1f<\/strong><br \/>\u5728\u4f7f\u7528Python\u5904\u7406\u8868\u683c\u6570\u636e\u65f6\uff0c\u5e38\u89c1\u7684\u9519\u8bef\u5305\u62ec\u6570\u636e\u7c7b\u578b\u4e0d\u5339\u914d\u3001\u7f3a\u5931\u503c\u5904\u7406\u4e0d\u5f53\u4ee5\u53ca\u7d22\u5f15\u9519\u8bef\u3002\u786e\u4fdd\u5728\u8bfb\u53d6\u6570\u636e\u540e\uff0c\u68c0\u67e5\u6570\u636e\u7c7b\u578b\u5e76\u8fdb\u884c\u5fc5\u8981\u7684\u8f6c\u6362\u3002\u6b64\u5916\uff0c\u5bf9\u4e8e\u7f3a\u5931\u503c\uff0c\u53ef\u4ee5\u9009\u62e9\u586b\u5145\u6216\u5220\u9664\uff0c\u8fd9\u5c06\u5f71\u54cd\u6570\u636e\u5206\u6790\u7684\u51c6\u786e\u6027\u3002\u907f\u514d\u8fd9\u4e9b\u95ee\u9898\u53ef\u4ee5\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5904\u7406\u8868\u683c\u5e76\u627e\u51fa\u5176\u4f1a\u5458\u7684\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528Pandas\u8bfb\u53d6\u8868\u683c\u3001\u901a\u8fc7\u6761\u4ef6\u7b5b\u9009\u4f1a\u5458\u3001\u8fd0\u7528\u6570\u636e\u805a\u5408\u548c\u5206\u7ec4\u3001\u8f93\u51fa 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