{"id":273760,"date":"2024-05-16T13:46:49","date_gmt":"2024-05-16T05:46:49","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/273760.html"},"modified":"2024-05-16T13:46:59","modified_gmt":"2024-05-16T05:46:59","slug":"pandas-%e9%a1%b9%e7%9b%ae%e4%b8%ad%e7%9a%84-concat-%e5%87%bd%e6%95%b0%e5%a6%82%e4%bd%95%e5%ae%9e%e7%8e%b0%e6%a8%aa%e5%90%91%e8%bf%9e%e6%8e%a5","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/273760.html","title":{"rendered":"pandas \u9879\u76ee\u4e2d\u7684 concat \u51fd\u6570\u5982\u4f55\u5b9e\u73b0\u6a2a\u5411\u8fde\u63a5"},"content":{"rendered":"<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24195501\/78a7a1bb-69fb-4ceb-b2bb-8cde6397f0ad.webp\" alt=\"pandas \u9879\u76ee\u4e2d\u7684 concat \u51fd\u6570\u5982\u4f55\u5b9e\u73b0\u6a2a\u5411\u8fde\u63a5\" \/><\/p>\n<p><p>\u5728Pandas\u9879\u76ee\u4e2d\uff0c\u6a2a\u5411\u8fde\u63a5\u6570\u636e\u662f\u4e00\u79cd\u5e38\u7528\u7684\u64cd\u4f5c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u901a\u8fc7<code>concat<\/code>\u51fd\u6570\u5b9e\u73b0\u3002<strong>\u8fd9\u9879\u6280\u672f\u5141\u8bb8\u7528\u6237\u6cbf\u7740\u8f741\uff08\u5217\u8f74\uff09\u5c06\u591a\u4e2aDataFrame\u5bf9\u8c61\u8fde\u63a5\u8d77\u6765\u3001\u521b\u5efa\u4e00\u4e2a\u65b0\u7684DataFrame<\/strong>\uff0c\u5176\u4e2d\uff0c<strong>\u4fdd\u6301\u884c\u7d22\u5f15\u7684\u4e00\u81f4\u6027<\/strong>\u662f\u5b9e\u73b0\u5408\u7406\u8fde\u63a5\u7684\u5173\u952e\u3002\u5177\u4f53\u800c\u8a00\uff0c\u901a\u8fc7\u8bbe\u7f6e<code>concat<\/code>\u51fd\u6570\u7684<code>axis<\/code>\u53c2\u6570\u4e3a1\uff0c\u53ef\u4ee5\u5b9e\u73b0DataFrame\u5bf9\u8c61\u7684\u6a2a\u5411\u8fde\u63a5\u3002\u6b64\u5916\uff0c\u786e\u4fdd\u8981\u8fde\u63a5\u7684DataFrame\u5bf9\u8c61\u5728\u8fde\u63a5\u8f74\u4e0a\u7684\u7ef4\u5ea6\u76f8\u540c\u6216\u9002\u5f53\u5730\u5904\u7406\u4e0d\u540c\u7ef4\u5ea6\uff0c\u662f\u6a2a\u5411\u8fde\u63a5\u4e2d\u9700\u6ce8\u610f\u7684\u4e00\u4e2a\u91cd\u70b9\u3002 <\/p>\n<\/p>\n<p><p>\u4e0b\u9762\u5c06\u8be6\u7ec6\u8bb2\u89e3\u5982\u4f55\u4f7f\u7528<code>concat<\/code>\u51fd\u6570\u5b9e\u73b0\u6a2a\u5411\u8fde\u63a5\uff0c\u5e76\u5bf9\u4fdd\u6301\u884c\u7d22\u5f15\u4e00\u81f4\u6027\u8fd9\u4e00\u5173\u952e\u70b9\u8fdb\u884c\u5c55\u5f00\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u7406\u89e3PANDAS CONCAT\u51fd\u6570<\/h3>\n<\/p>\n<p><p>Pandas\u7684<code>concat<\/code>\u51fd\u6570\u662f\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5904\u7406\u4e2d\u975e\u5e38\u91cd\u8981\u7684\u5de5\u5177\u4e4b\u4e00\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u79cd\u4fbf\u6377\u7684\u65b9\u5f0f\u6765\u5408\u5e76\u3001\u8fde\u63a5\u6216\u5806\u53e0\u4e0d\u540c\u7684DataFrame\u5bf9\u8c61\uff0c\u65e2\u53ef\u4ee5\u8fdb\u884c\u7eb5\u5411\u8fde\u63a5\u4e5f\u53ef\u4ee5\u8fdb\u884c\u6a2a\u5411\u8fde\u63a5\u3002\u4f7f\u7528\u65f6\uff0c\u4e3b\u8981\u901a\u8fc7\u8c03\u6574\u51fd\u6570\u4e2d\u7684\u53c2\u6570\u6765\u5b9e\u73b0\u4e0d\u540c\u7684\u8fde\u63a5\u65b9\u5f0f\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u5b9e\u73b0\u6a2a\u5411\u8fde\u63a5\u7684\u6b65\u9aa4<\/h3>\n<\/p>\n<p><p>\u5728\u8fdb\u884c\u6a2a\u5411\u8fde\u63a5\u4e4b\u524d\uff0c\u9700\u786e\u4fdd\u53c2\u4e0e\u8fde\u63a5\u7684DataFrame\u5bf9\u8c61\u5728\u8fde\u63a5\u4e4b\u524d\u505a\u597d\u51c6\u5907\u5de5\u4f5c\uff0c\u4f8b\u5982\uff1a\u786e\u4fdd\u884c\u7d22\u5f15\u6b63\u786e\u5bf9\u9f50\u3001\u5904\u7406\u6f5c\u5728\u7684\u5217\u540d\u51b2\u7a81\u7b49\u3002<\/p>\n<\/p>\n<p><h4>\u4e00\u3001\u51c6\u5907\u5f85\u8fde\u63a5\u7684DATAFRAME<\/h4>\n<\/p>\n<p><p>\u51c6\u5907\u4e24\u4e2a\u6216\u591a\u4e2a\u9700\u8981\u6a2a\u5411\u8fde\u63a5\u7684DataFrame\u3002\u786e\u4fdd\u8fd9\u4e9bDataFrame\u5728\u4f60\u5e0c\u671b\u8fde\u63a5\u7684\u7ef4\u5ea6\u4e0a\u662f\u517c\u5bb9\u7684\uff0c\u5373\u6bcf\u4e2aDataFrame\u7684\u884c\u6570\u5e94\u8be5\u76f8\u540c\u6216\u8005\u901a\u8fc7\u5176\u4ed6\u65b9\u5f0f\u5904\u7406\u4e0d\u4e00\u81f4\u60c5\u51b5\u3002<\/p>\n<\/p>\n<p><h4>\u4e8c\u3001\u4f7f\u7528CONCAT\u51fd\u6570\u5b9e\u73b0\u6a2a\u5411\u8fde\u63a5<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7<code>pd.concat()<\/code>\u51fd\u6570\uff0c\u5e76\u8bbe\u7f6e<code>axis=1<\/code>\u6765\u5b9e\u73b0\u6a2a\u5411\u8fde\u63a5\u3002\u4f8b\u5982\uff0c\u5982\u679c\u6211\u4eec\u6709DataFrame <code>df1<\/code> \u548c <code>df2<\/code>\uff0c\u5219\u53ef\u4ee5\u901a\u8fc7 <code>pd.concat([df1, df2], axis=1)<\/code> \u6765\u5b9e\u73b0\u5b83\u4eec\u7684\u6a2a\u5411\u8fde\u63a5\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4fdd\u6301\u884c\u7d22\u5f15\u7684\u4e00\u81f4\u6027<\/h3>\n<\/p>\n<p><p>\u5728\u8fdb\u884c\u6a2a\u5411\u8fde\u63a5\u65f6\uff0c<strong>\u4fdd\u6301\u884c\u7d22\u5f15\u7684\u4e00\u81f4\u6027\u662f\u975e\u5e38\u91cd\u8981\u7684<\/strong>\u3002\u5982\u679c\u8fde\u63a5\u7684DataFrame\u5728\u884c\u7d22\u5f15\u4e0a\u4e0d\u5bf9\u9f50\uff0c\u90a3\u4e48\u8fde\u63a5\u7ed3\u679c\u4e2d\u53ef\u80fd\u4f1a\u51fa\u73b0\u5f88\u591a<code>NaN<\/code>\u503c\uff0c\u4ece\u800c\u5f71\u54cd\u6570\u636e\u7684\u8d28\u91cf\u548c\u540e\u7eed\u7684\u6570\u636e\u5206\u6790\u5de5\u4f5c\u3002\u56e0\u6b64\uff0c\u5728\u8fde\u63a5\u524d\u5e94\u5148\u68c0\u67e5\u548c\u5904\u7406\u884c\u7d22\u5f15\uff0c\u786e\u4fdd\u5b83\u4eec\u5728\u8fde\u63a5\u64cd\u4f5c\u4e2d\u80fd\u591f\u6b63\u786e\u5bf9\u9f50\u3002\u53ef\u4ee5\u4f7f\u7528<code>DataFrame<\/code>\u7684<code>reindex<\/code>\u3001<code>reset_index<\/code>\u7b49\u65b9\u6cd5\u6765\u8c03\u6574\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n<p><p>\u5982\u679c\u5f85\u8fde\u63a5\u7684DataFrame\u6709\u4e0d\u540c\u7684\u884c\u7d22\u5f15\uff0c\u5728\u6ca1\u6709\u7279\u522b\u6307\u5b9a\u7684\u60c5\u51b5\u4e0b\uff0c<code>concat<\/code>\u51fd\u6570\u4f1a\u4fdd\u7559\u6240\u6709\u7684\u884c\u7d22\u5f15\uff0c\u5bf9\u4e8e\u4e0d\u5b58\u5728\u4e8e\u67d0\u4e2aDataFrame\u4e2d\u7684\u7d22\u5f15\uff0c\u5176\u5bf9\u5e94\u7684\u6570\u636e\u4f4d\u7f6e\u5c06\u88ab\u586b\u5145\u4e3a<code>NaN<\/code>\u3002\u8fd9\u79cd\u5904\u7406\u65b9\u5f0f\u867d\u7136\u80fd\u4fdd\u7559\u5c3d\u53ef\u80fd\u591a\u7684\u4fe1\u606f\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u901a\u8fc7\u989d\u5916\u7684\u6570\u636e\u5904\u7406\u65b9\u6cd5\u6765\u5904\u7406\u8fd9\u4e9b<code>NaN<\/code>\u503c\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5904\u7406\u6f5c\u5728\u7684\u5217\u540d\u51b2\u7a81<\/h3>\n<\/p>\n<p><p>\u5f53\u8fdb\u884c\u6a2a\u5411\u8fde\u63a5\u65f6\uff0c\u8fd8\u9700\u8981\u6ce8\u610f\u5904\u7406\u6f5c\u5728\u7684\u5217\u540d\u51b2\u7a81\u95ee\u9898\u3002\u5982\u679c\u4e0d\u540c\u7684DataFrame\u4e2d\u5b58\u5728\u76f8\u540c\u7684\u5217\u540d\uff0c\u800c\u5728\u8fde\u63a5\u540e\u5e0c\u671b\u5b83\u4eec\u4ecd\u88ab\u4fdd\u7559\u4e3a\u4e0d\u540c\u7684\u5217\uff0c\u5219\u9700\u8981\u5728\u8fde\u63a5\u524d\u5bf9\u8fd9\u4e9b\u5217\u540d\u8fdb\u884c\u91cd\u547d\u540d\u6216\u8c03\u6574\u3002Pandas\u63d0\u4f9b\u4e86\u591a\u79cd\u91cd\u547d\u540d\u5217\u7684\u65b9\u6cd5\uff0c\u5982\u5229\u7528<code>DataFrame.rename<\/code>\u65b9\u6cd5\u6216\u76f4\u63a5\u4fee\u6539<code>DataFrame.columns<\/code>\u5c5e\u6027\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u8fdb\u9636\u4f7f\u7528\u6280\u5de7<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u57fa\u7840\u7684\u6a2a\u5411\u8fde\u63a5\u64cd\u4f5c\uff0c<code>concat<\/code>\u51fd\u6570\u8fd8\u652f\u6301\u591a\u79cd\u9ad8\u7ea7\u529f\u80fd\uff0c\u5982\u901a\u8fc7<code>join<\/code>\u53c2\u6570\u63a7\u5236\u5982\u4f55\u5904\u7406\u4e0d\u540cDataFrame\u4e2d\u7684\u4e0d\u5339\u914d\u7d22\u5f15\uff0c\u4ee5\u53ca\u4f7f\u7528<code>keys<\/code>\u53c2\u6570\u4e3a\u8fde\u63a5\u7ed3\u679c\u7684\u6bcf\u4e2a\u90e8\u5206\u6dfb\u52a0\u591a\u7ea7\u7d22\u5f15\u7b49\u3002\u8fd9\u4e9b\u9ad8\u7ea7\u529f\u80fd\u4e3a\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u8fde\u63a5\u573a\u666f\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u7075\u6d3b\u6027\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u5b9e\u8df5\u6848\u4f8b\u89e3\u6790<\/h3>\n<\/p>\n<p><p>\u6700\u540e\uff0c\u5728\u771f\u5b9e\u7684\u6570\u636e\u5904\u7406\u9879\u76ee\u4e2d\uff0c\u5f80\u5f80\u9700\u8981\u6839\u636e\u5b9e\u9645\u7684\u4e1a\u52a1\u9700\u6c42\u548c\u6570\u636e\u7279\u5f81\uff0c\u7efc\u5408\u4f7f\u7528<code>concat<\/code>\u51fd\u6570\u7684\u4e0d\u540c\u53c2\u6570\u548c\u6570\u636e\u9884\u5904\u7406\u65b9\u6cd5\u6765\u5b9e\u73b0\u671f\u671b\u7684\u6570\u636e\u8fde\u63a5\u6548\u679c\u3002\u901a\u8fc7\u4e00\u4e9b\u5177\u4f53\u7684\u5b9e\u8df5\u6848\u4f8b\u5206\u6790\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3<code>concat<\/code>\u51fd\u6570\u7684\u5b9e\u9645\u5e94\u7528\u573a\u666f\u548c\u4f7f\u7528\u6280\u5de7\u3002<\/p>\n<\/p>\n<p><p>\u5728\u8fdb\u884c\u6a2a\u5411\u8fde\u63a5\u7684\u8fdb\u7a0b\u4e2d\uff0c<strong>\u9002\u5f53\u5730\u5904\u7406\u4e0d\u540c\u7ef4\u5ea6\u7684DataFrame\u3001\u4fdd\u6301\u884c\u7d22\u5f15\u7684\u4e00\u81f4\u6027\u3001\u5904\u7406\u6f5c\u5728\u7684\u5217\u540d\u51b2\u7a81<\/strong>\uff0c\u4ee5\u53ca\u5229\u7528<code>concat<\/code>\u51fd\u6570\u7684\u9ad8\u7ea7\u529f\u80fd\uff0c\u90fd\u662f\u786e\u4fdd\u8fde\u63a5\u64cd\u4f5c\u6210\u529f\u548c\u6570\u636e\u8d28\u91cf\u7684\u5173\u952e\u56e0\u7d20\u3002\u901a\u8fc7\u719f\u7ec3\u638c\u63e1\u8fd9\u4e9b\u6280\u5de7\uff0c\u53ef\u4ee5\u5728\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5904\u7406\u7684\u5de5\u4f5c\u4e2d\u66f4\u6709\u6548\u5730\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u7684\u8fde\u63a5\u548c\u6574\u5408\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p><strong>\u5982\u4f55\u5728 pandas \u9879\u76ee\u4e2d\u4f7f\u7528 concat \u51fd\u6570\u8fdb\u884c\u6a2a\u5411\u8fde\u63a5\u5462\uff1f<\/strong><br \/>\n\u6a2a\u5411\u8fde\u63a5\u662f\u6307\u5c06\u591a\u4e2a DataFrame \u6cbf\u7740\u5217\u7684\u65b9\u5411\u8fdb\u884c\u8fde\u63a5\uff0c\u53ef\u4ee5\u4f7f\u7528 pandas \u4e2d\u7684 concat \u51fd\u6570\u6765\u5b9e\u73b0\u3002\u9996\u5148\uff0c\u786e\u4fdd\u8981\u8fde\u63a5\u7684 DataFrame \u7684\u5217\u540d\u4e00\u81f4\uff0c\u4ee5\u4fbf\u4e8e\u8fde\u63a5\u3002\u7136\u540e\uff0c\u4f7f\u7528 concat \u51fd\u6570\uff0c\u5e76\u5c06\u8981\u8fde\u63a5\u7684 DataFrame \u4f5c\u4e3a\u53c2\u6570\u4f20\u5165\u3002\u5728\u53c2\u6570\u4e2d\uff0c\u8bbe\u7f6e axis=1\uff0c\u8868\u793a\u6a2a\u5411\u8fde\u63a5\u3002\u6700\u540e\uff0c\u901a\u8fc7\u8c03\u7528 concat \u51fd\u6570\u540e\u8fd4\u56de\u7684\u7ed3\u679c\u5373\u53ef\u83b7\u5f97\u6a2a\u5411\u8fde\u63a5\u540e\u7684 DataFrame\u3002<\/p>\n<p><strong>concat \u51fd\u6570\u5728 pandas \u9879\u76ee\u4e2d\u5982\u4f55\u5904\u7406\u4e0d\u540c\u5217\u540d\u7684 DataFrame \u7684\u6a2a\u5411\u8fde\u63a5\uff1f<\/strong><br \/>\n\u5728 concat \u51fd\u6570\u4e2d\uff0c\u5982\u679c\u8981\u8fde\u63a5\u7684 DataFrame \u7684\u5217\u540d\u4e0d\u4e00\u81f4\uff0c\u90a3\u4e48\u53ef\u4ee5\u4f7f\u7528 join \u53c2\u6570\u6765\u6307\u5b9a\u8fde\u63a5\u64cd\u4f5c\u7684\u65b9\u5f0f\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0cjoin \u53c2\u6570\u7684\u53d6\u503c\u4e3a &#039;outer&#039;\uff0c\u8868\u793a\u53d6\u6240\u6709\u5217\u7684\u5e76\u96c6\u4f5c\u4e3a\u8fde\u63a5\u540e DataFrame \u7684\u5217\u540d\u3002\u5982\u679c\u8981\u53d6\u4ea4\u96c6\uff0c\u5219\u5c06 join \u53c2\u6570\u8bbe\u7f6e\u4e3a &#039;inner&#039;\u3002\u6b64\u5916\uff0c\u5728 concat \u51fd\u6570\u4e2d\u8fd8\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e ignore_index \u53c2\u6570\u4e3a True\uff0c\u6765\u91cd\u65b0\u8bbe\u7f6e\u8fde\u63a5\u540e DataFrame \u7684\u7d22\u5f15\u3002<\/p>\n<p><strong>\u5728 pandas \u9879\u76ee\u4e2d\uff0c\u9664\u4e86 concat \u51fd\u6570\uff0c\u8fd8\u6709\u6ca1\u6709\u5176\u4ed6\u65b9\u5f0f\u53ef\u4ee5\u5b9e\u73b0 DataFrame \u7684\u6a2a\u5411\u8fde\u63a5\u5462\uff1f<\/strong><br \/>\n\u9664\u4e86 concat \u51fd\u6570\uff0cpandas \u8fd8\u63d0\u4f9b\u4e86 merge \u51fd\u6570\u6765\u5b9e\u73b0 DataFrame \u7684\u6a2a\u5411\u8fde\u63a5\u3002merge \u51fd\u6570\u66f4\u52a0\u7075\u6d3b\uff0c\u53ef\u4ee5\u6839\u636e\u6307\u5b9a\u7684\u5217\u8fdb\u884c\u8fde\u63a5\uff0c\u5e76\u53ef\u8bbe\u7f6e\u8fde\u63a5\u65b9\u5f0f\u3001\u8fde\u63a5\u952e\u548c\u8fde\u63a5\u65b9\u5f0f\u7b49\u53c2\u6570\u3002\u4e0e concat \u51fd\u6570\u4e0d\u540c\u7684\u662f\uff0cmerge \u51fd\u6570\u66f4\u9002\u7528\u4e8e\u5904\u7406\u5177\u6709\u76f8\u540c\u6216\u4e0d\u540c\u5217\u540d\u7684 DataFrame \u4e4b\u95f4\u7684\u8fde\u63a5\u64cd\u4f5c\u3002\u8981\u5b9e\u73b0\u6a2a\u5411\u8fde\u63a5\uff0c\u53ea\u9700\u5c06 merge 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