{"id":178988,"date":"2024-05-08T20:03:13","date_gmt":"2024-05-08T12:03:13","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/178988.html"},"modified":"2024-05-08T20:03:35","modified_gmt":"2024-05-08T12:03:35","slug":"python%e5%ba%93numpy%e9%87%8cndarray-ndim-%e6%98%af%e4%bb%80%e4%b9%88%e6%84%8f%e6%80%9d-3","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/178988.html","title":{"rendered":"Python\u5e93Numpy\u91ccndarray.ndim \u662f\u4ec0\u4e48\u610f\u601d"},"content":{"rendered":"<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/27063507\/0698c393-e0d4-4fa3-8625-784313ebe612.webp\" alt=\"Python\u5e93Numpy\u91ccndarray.ndim \u662f\u4ec0\u4e48\u610f\u601d\" \/><\/p>\n<p><p><strong>NumPy\u5e93\u4e2d\u7684<code>ndarray.ndim<\/code>\u8868\u793a\u6570\u7ec4\u7684\u7ef4\u5ea6\u6570<\/strong>\u3001<strong>\u662f\u4e00\u4e2a\u6570\u7ec4\u5c5e\u6027<\/strong>\uff0c\u7528\u4ee5\u6307\u793a\u6570\u7ec4\u4e2d\u6570\u636e\u7684\u5c42\u7ea7\u3002\u4e00\u4e2a\u7ef4\u5ea6\u4ee3\u8868\u4e00\u7ea7\u6570\u636e\u7ec4\u7ec7\u5f62\u5f0f\uff1b\u6bd4\u5982\u4e00\u7ef4\u6570\u7ec4\u662f\u7ebf\u6027\u7684\u3001\u4e8c\u7ef4\u7c7b\u4f3c\u4e8e\u8868\u683c\u3001\u800c\u66f4\u9ad8\u7ef4\u5ea6\u5219\u53ef\u4ee5\u770b\u4f5c\u662f\u591a\u91cd\u5d4c\u5957\u7684\u8868\u683c\u3002\u6df1\u5165\u7406\u89e3ndarray.ndim\u5c5e\u6027\uff0c\u6709\u5229\u4e8e\u5728\u6570\u636e\u5206\u6790\u548c\u64cd\u4f5c\u4e2d\u51c6\u786e\u5904\u7406\u591a\u7ef4\u6570\u636e\u3002<\/p>\n<\/p>\n<p><p>NumPy\uff08Numerical Python\uff09\u7684\u6838\u5fc3\u7279\u6027\u662fndarray\u5bf9\u8c61\uff0c\u5373\u591a\u7ef4\u6570\u7ec4\u5bf9\u8c61\u3002\u7406\u89e3ndarray\u5bf9\u8c61\u7684\u7ef4\u5ea6\u662f\u7406\u89e3\u591a\u7ef4\u6570\u7ec4\u6982\u5ff5\u7684\u5173\u952e\u3002\u5206\u6790\u591a\u7ef4\u6570\u7ec4\u7ed3\u6784\u80fd\u591f\u5e2e\u52a9\u6211\u4eec\u8fdb\u884c\u6709\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\uff0c\u5982\u5207\u7247\u3001\u5f62\u72b6\u53d8\u6362\u3001\u7c7b\u578b\u8f6c\u6362\u7b49\uff0c\u8fd9\u5bf9\u4e8e\u9ad8\u6548\u7387\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u7406\u89e3\u7ef4\u5ea6\u548cndarray.ndim<\/h3>\n<\/p>\n<p><p>\u5728NumPy\u4e2d\uff0c\u6bcf\u4e2andarray\u90fd\u6709\u4e00\u4e2a<code>ndim<\/code>\u5c5e\u6027\uff0c\u8fd9\u4e2a\u5c5e\u6027\u8868\u793a\u6570\u7ec4\u7684\u7ef4\u6570\uff08\u6216\u8f74\u7684\u6570\u91cf\uff09\u3002\u8fd9\u4e2a\u6570\u503c\u544a\u8bc9\u6211\u4eec\u5728\u8fdb\u884c\u6570\u7ec4\u8fd0\u7b97\u65f6\u8981\u8003\u8651\u51e0\u4e2a\u5c42\u7ea7\u7684\u7d22\u5f15\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u4e00\u7ef4\u6570\u7ec4<\/strong>\uff1a\u5b83\u53ea\u6709\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u901a\u5e38\u7528\u4e8e\u5b58\u50a8\u7ebf\u6027\u6570\u636e\u5e8f\u5217\uff0c\u7c7b\u4f3c\u4e8ePython\u4e2d\u7684\u5217\u8868\u3002\u5176<code>ndim<\/code>\u5c5e\u6027\u7684\u503c\u4e3a1\u3002<\/li>\n<li><strong>\u4e8c\u7ef4\u6570\u7ec4<\/strong>\uff1a\u5177\u6709\u4e24\u4e2a\u7ef4\u5ea6\uff0c\u7ecf\u5e38\u88ab\u7528\u6765\u8868\u793a\u77e9\u9635\u3001\u56fe\u50cf\u6570\u636e\u7b49\u3002\u5728\u8fd9\u79cd\u6570\u7ec4\u4e2d\uff0c<code>ndim<\/code>\u5c5e\u6027\u7684\u503c\u4e3a2\u3002<\/li>\n<li><strong>\u4e09\u7ef4\u6216\u66f4\u9ad8\u7ef4\u6570\u7ec4<\/strong>\uff1a\u5728NumPy\u4e2d\u53ef\u4ee5\u6709\u66f4\u591a\u7684\u7ef4\u5ea6\uff0c\u8fd9\u53ef\u4ee5\u7528\u4e8e\u8868\u793a\u66f4\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5982\u5411\u91cf\u7ec4\u3001\u591a\u901a\u9053\u56fe\u50cf\u6570\u636e\u6216\u5176\u4ed6\u5f62\u5f0f\u7684\u79d1\u5b66\u6570\u636e\u3002\u5bf9\u5e94\u7684\uff0c\u5b83\u4eec\u7684<code>ndim<\/code>\u5c5e\u6027\u7684\u503c\u4f1a\u662f3\u6216\u66f4\u9ad8\u3002<\/li>\n<\/ul>\n<p><p>\u4e86\u89e3\u7ef4\u5ea6\u4e0d\u4ec5\u5bf9\u4e8e\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5904\u7406\u91cd\u8981\uff0c\u4e5f\u662f\u5b66\u4e60\u66f4\u9ad8\u7ea7\u7684\u6570\u636e\u7ed3\u6784\u3001\u4f8b\u5982DataFrame\u548cSeries\uff0c\u8fd9\u4e9b\u7ed3\u6784\u5728\u6570\u636e\u5206\u6790\u5e93Pandas\u4e2d\u975e\u5e38\u5e38\u89c1\uff0c\u5e76\u4e14\u7d27\u5bc6\u7ed3\u5408NumPy\u4f7f\u7528\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528ndarray.ndim\u5c5e\u6027<\/h3>\n<\/p>\n<p><p>NumPy\u63d0\u4f9b\u4e86\u8bb8\u591a\u5185\u5efa\u7684\u65b9\u6cd5\u6765\u521b\u5efandarray\uff0c\u6bd4\u5982<code>array<\/code>\u3001<code>arange<\/code>\u3001<code>zeros<\/code>\u3001<code>ones<\/code>\u7b49\u3002\u4e00\u65e6\u521b\u5efa\u4e86\u6570\u7ec4\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u901a\u8fc7\u8bbf\u95ee<code>ndim<\/code>\u5c5e\u6027\u6765\u5f97\u77e5\u5b83\u7684\u7ef4\u6570\u3002<\/p>\n<\/p>\n<p><h4>\u521b\u5efa\u6570\u7ec4\u548c\u8bbf\u95ee\u7ef4\u5ea6<\/h4>\n<\/p>\n<ol>\n<li>\n<p>\u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\u5e76\u67e5\u8be2\u5176<code>ndim<\/code>\u5c5e\u6027\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>one_dim_array = np.array([1, 2, 3, 4, 5])<\/p>\n<p>print(one_dim_array.ndim)  # \u8f93\u51fa1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p>\u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\u5e76\u67e5\u8be2\u5176<code>ndim<\/code>\u5c5e\u6027\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">two_dim_array = np.array([[1, 2, 3], [4, 5, 6]])<\/p>\n<p>print(two_dim_array.ndim)  # \u8f93\u51fa2<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p>\u521b\u5efa\u4e09\u7ef4\u6570\u7ec4\u5e76\u67e5\u8be2\u5176<code>ndim<\/code>\u5c5e\u6027\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">three_dim_array = np.array([[[1, 2, 3]], [[4, 5, 6]]])<\/p>\n<p>print(three_dim_array.ndim)  # \u8f93\u51fa3<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n<p><p>\u901a\u8fc7\u8bbf\u95ee\u8fd9\u4e2a\u5c5e\u6027\uff0c\u6211\u4eec\u53ef\u4ee5\u83b7\u5f97\u5173\u4e8e\u6570\u7ec4\u5982\u4f55\u5728\u5185\u5b58\u4e2d\u7ec4\u7ec7\u7684\u4fe1\u606f\uff0c\u8fd9\u5bf9\u4e8e\u9ad8\u6548\u64cd\u4f5c\u6570\u7ec4\u975e\u5e38\u5173\u952e\u3002<\/p>\n<\/p>\n<p><h4>\u7ef4\u5ea6\u5bf9\u6570\u7ec4\u64cd\u4f5c\u7684\u5f71\u54cd<\/h4>\n<\/p>\n<p><p>\u6570\u7ec4\u7684\u7ef4\u5ea6\u76f4\u63a5\u5f71\u54cd\u4e86\u5982\u4f55\u8bbf\u95ee\u548c\u4fee\u6539\u6570\u7ec4\u4e2d\u7684\u6570\u636e\u3002\u4f8b\u5982\uff0c\u5728\u4e8c\u7ef4\u6570\u7ec4\u4e2d\uff0c\u4f60\u9700\u8981\u4e24\u4e2a\u7d22\u5f15\u6765\u8bbf\u95ee\u4e00\u4e2a\u5143\u7d20\uff1a\u4e00\u4e2a\u6307\u5411\u884c\uff0c\u53e6\u4e00\u4e2a\u6307\u5411\u5217\u3002\u5728\u4e09\u7ef4\u6570\u7ec4\u4e2d\uff0c\u5219\u9700\u8981\u4e09\u4e2a\u7d22\u5f15\u6765\u6307\u5b9a\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u6570\u7ec4\u7684\u7ef4\u5ea6\u4e0e\u5f62\u72b6(shape)<\/h3>\n<\/p>\n<p><p>\u6570\u7ec4<code>ndim<\/code>\u5c5e\u6027\u4e0e\u5176<code>shape<\/code>\u5c5e\u6027\u5bc6\u5207\u76f8\u5173\u3002<code>shape<\/code>\u662f\u4e00\u4e2a\u8868\u793a\u6570\u7ec4\u5728\u6bcf\u4e2a\u7ef4\u5ea6\u4e0a\u5927\u5c0f\u7684\u5143\u7ec4\u3002\u7ef4\u5ea6\u6570\u91cf(<code>ndim<\/code>)\u544a\u8bc9\u6211\u4eec<code>shape<\/code>\u5143\u7ec4\u6709\u591a\u5c11\u4e2a\u5143\u7d20\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c<code>ndim<\/code>\u662f<code>shape<\/code>\u5143\u7ec4\u7684\u957f\u5ea6\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u67e5\u770b\u6570\u7ec4\u5f62\u72b6<\/strong>\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">print(two_dim_array.shape)  # \u8f93\u51fa(2, 3)\uff0c\u8868\u793a\u4e24\u884c\u4e09\u5217<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u6539\u53d8\u6570\u7ec4\u5f62\u72b6<\/strong>\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">reshaped_array = two_dim_array.reshape(3, 2)<\/p>\n<p>print(reshaped_array.ndim)   # \u8f93\u51fa2\uff0c\u7ef4\u5ea6\u6570\u4e0d\u53d8<\/p>\n<p>print(reshaped_array.shape)  # \u8f93\u51fa(3, 2)\uff0c\u73b0\u5728\u662f\u4e09\u884c\u4e24\u5217<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><p>\u901a\u8fc7\u4e0e<code>shape<\/code>\u7684\u4e92\u52a8\uff0c<code>ndim<\/code>\u5c5e\u6027\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u6570\u7ec4\u662f\u5982\u4f55\u88ab\u5904\u7406\u548c\u8f6c\u6362\u7684\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u591a\u7ef4\u6570\u7ec4\u7684\u5b9e\u9645\u5e94\u7528<\/h3>\n<\/p>\n<p><p>\u5728\u591a\u7ef4\u6570\u7ec4\u7684\u64cd\u4f5c\u4e2d\uff0c\u4e86\u89e3\u6570\u7ec4\u7684<code>ndim<\/code>\u5c5e\u6027\u81f3\u5173\u91cd\u8981\u3002\u5728\u6570\u636e\u79d1\u5b66\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u3001\u79d1\u5b66\u8ba1\u7b97\u7b49\u9886\u57df\uff0c\u6570\u7ec4\u6700\u5e38\u89c1\u7684\u64cd\u4f5c\u5305\u62ec\u5143\u7d20\u8bbf\u95ee\u3001\u5207\u7247\u3001\u7ef4\u5ea6\u53d8\u6362\u7b49\u3002<\/p>\n<\/p>\n<p><h4>\u6570\u7ec4\u7ef4\u5ea6\u548c\u5143\u7d20\u8bbf\u95ee<\/h4>\n<\/p>\n<ul>\n<li>\u5904\u7406\u4e00\u7ef4\u6570\u7ec4\u548c\u5904\u7406\u5217\u8868\u975e\u5e38\u76f8\u4f3c\uff0c\u6211\u4eec\u901a\u5e38\u901a\u8fc7\u4e00\u4e2a\u7d22\u5f15\u6765\u8bbf\u95ee\u6216\u8005\u5207\u7247\u6570\u7ec4\u3002<\/li>\n<li>\u5bf9\u4e8e\u4e8c\u7ef4\u6570\u7ec4\uff0c\u6211\u4eec\u901a\u8fc7\u884c\u7d22\u5f15\u548c\u5217\u7d22\u5f15\u6765\u8bbf\u95ee\u7279\u5b9a\u7684\u6570\u636e\u5143\u7d20\u3002<\/li>\n<\/ul>\n<p><h4>\u6570\u7ec4\u7ef4\u5ea6\u548c\u6570\u636e\u5207\u7247<\/h4>\n<\/p>\n<ul>\n<li>\u6570\u7ec4\u7684\u5207\u7247\u5141\u8bb8\u6211\u4eec\u83b7\u53d6\u6570\u7ec4\u7684\u5b50\u96c6\u3002\u5728\u4e00\u7ef4\u6570\u7ec4\u4e2d\uff0c\u8fd9\u610f\u5473\u7740\u83b7\u53d6\u8fde\u7eed\u7684\u5143\u7d20\u3002<\/li>\n<li>\u5728\u4e8c\u7ef4\u6570\u7ec4\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u8fdb\u884c\u884c\u5207\u7247\u3001\u5217\u5207\u7247\uff0c\u751a\u81f3\u662f\u884c\u5217\u7684\u7ec4\u5408\u5207\u7247\uff0c\u83b7\u53d6\u77e9\u9635\u7684\u4e00\u90e8\u5206\u3002<\/li>\n<\/ul>\n<p><h4>\u7ef4\u5ea6\u53d8\u6362\u548c\u6570\u7ec4\u64cd\u4f5c<\/h4>\n<\/p>\n<ul>\n<li>\u901a\u5e38\u4f1a\u66f4\u6539\u6570\u7ec4\u7684\u7ef4\u6570\u6765\u6ee1\u8db3\u7279\u5b9a\u7684\u7b97\u6cd5\u9700\u6c42\uff0c\u6bd4\u5982\u5c06\u4e00\u7ef4\u6570\u7ec4\u91cd\u7ec4\u4e3a\u4e8c\u7ef4\u77e9\u9635\uff0c\u4ee5\u4fbf\u8fdb\u884c\u77e9\u9635\u8fd0\u7b97\u3002<\/li>\n<li>\u5728\u5904\u7406\u56fe\u50cf\u6570\u636e\u65f6\uff0c\u6211\u4eec\u7ecf\u5e38\u9700\u8981\u5c06\u4e8c\u7ef4\u56fe\u50cf\u6570\u636e\u6269\u5c55\u4e3a\u5177\u6709\u591a\u4e2a\u989c\u8272\u901a\u9053\u7684\u4e09\u7ef4\u6570\u636e\u3002<\/li>\n<\/ul>\n<p><p>\u638c\u63e1ndarray.ndim\u5c5e\u6027\u548c\u76f8\u5173\u7684\u6570\u7ec4\u64cd\u4f5c\u5bf9\u4e8e\u6240\u6709\u6d89\u53ca\u6570\u7ec4\u64cd\u4f5c\u7684\u9886\u57df\u90fd\u662f\u57fa\u7840\uff0c\u5e76\u4e14\u662f\u5229\u7528Python\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u7684\u4e00\u4e2a\u5173\u952e\u6280\u80fd\u3002\u901a\u8fc7\u5145\u5206\u5229\u7528NumPy\u63d0\u4f9b\u7684\u5f3a\u5927\u529f\u80fd\uff0c\u53ef\u4ee5\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u6027\u80fd\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p><strong>1. ndarray.ndim\u662fNumPy\u5e93\u4e2d\u7684\u4e00\u4e2a\u5c5e\u6027\uff0c\u5b83\u8868\u793andarray\uff08N\u7ef4\u6570\u7ec4\uff09\u7684\u7ef4\u5ea6\u6570\u91cf\u3002\u5b83\u7684\u8fd4\u56de\u503c\u662f\u4e00\u4e2a\u6574\u6570\uff0c\u8868\u793a\u6570\u7ec4\u7684\u7ef4\u5ea6\u6570\u91cf\u3002<\/strong><\/p>\n<p><strong>2. \u5b83\u53ef\u4ee5\u7528\u6765\u5224\u65ad\u4e00\u4e2a\u6570\u7ec4\u662f\u4e00\u7ef4\u6570\u7ec4\u3001\u4e8c\u7ef4\u6570\u7ec4\u8fd8\u662f\u66f4\u9ad8\u7ef4\u5ea6\u7684\u6570\u7ec4\u3002\u901a\u8fc7ndarray.ndim\u7684\u503c\uff0c\u6211\u4eec\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u786e\u5b9a\u6570\u7ec4\u7684\u5f62\u72b6\u548c\u7ed3\u6784\u3002<\/strong><\/p>\n<p><strong>3. 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