{"id":1134305,"date":"2025-01-08T21:14:30","date_gmt":"2025-01-08T13:14:30","guid":{"rendered":""},"modified":"2025-01-08T21:14:32","modified_gmt":"2025-01-08T13:14:32","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e4%ba%8c%e7%bb%b4%e8%bd%ac%e6%88%90%e4%b8%80%e7%bb%b4","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1134305.html","title":{"rendered":"python\u5982\u4f55\u5c06\u4e8c\u7ef4\u8f6c\u6210\u4e00\u7ef4"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25103304\/bbb69299-0910-4670-adcb-9cde0f335d54.webp\" alt=\"python\u5982\u4f55\u5c06\u4e8c\u7ef4\u8f6c\u6210\u4e00\u7ef4\" \/><\/p>\n<p><p> <strong>Python\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6210\u4e00\u7ef4\u6570\u7ec4\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001NumPy\u5e93\u4ee5\u53caitertools\u6a21\u5757\u7b49\u3002<\/strong>\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u6df1\u5165\u63a2\u8ba8\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u5e76\u8be6\u7ec6\u8bf4\u660e\u6bcf\u4e00\u79cd\u65b9\u6cd5\u7684\u4f7f\u7528\u573a\u666f\u548c\u4ee3\u7801\u793a\u4f8b\u3002\u4ee5\u4e0b\u662f\u51e0\u79cd\u5e38\u89c1\u7684\u65b9\u6cd5\uff1a\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001\u4f7f\u7528NumPy\u5e93\u3001\u4f7f\u7528itertools\u6a21\u5757\u3001\u4f7f\u7528\u9012\u5f52\u65b9\u6cd5\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f<\/h3>\n<\/p>\n<p><p>\u5217\u8868\u63a8\u5bfc\u5f0f\u662fPython\u4e2d\u4e00\u79cd\u7b80\u6d01\u4e14\u5f3a\u5927\u7684\u8bed\u6cd5\uff0c\u7528\u6765\u521b\u5efa\u65b0\u7684\u5217\u8868\u3002\u5bf9\u4e8e\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6210\u4e00\u7ef4\u6570\u7ec4\uff0c\u5217\u8868\u63a8\u5bfc\u5f0f\u663e\u5f97\u5c24\u4e3a\u65b9\u4fbf\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">two_d_array = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]<\/p>\n<p>one_d_array = [item for sublist in two_d_array for item in sublist]<\/p>\n<p>print(one_d_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86\u4e00\u4e2a\u5d4c\u5957\u7684\u5217\u8868\u63a8\u5bfc\u5f0f\u3002\u5916\u5c42\u5faa\u73af\u904d\u5386\u6bcf\u4e00\u4e2a\u5b50\u5217\u8868\uff0c\u5185\u5c42\u5faa\u73af\u904d\u5386\u6bcf\u4e00\u4e2a\u5b50\u5217\u8868\u4e2d\u7684\u5143\u7d20\uff0c\u5e76\u5c06\u5176\u6dfb\u52a0\u5230\u65b0\u7684\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n<p><h4>\u4f18\u70b9\uff1a<\/h4>\n<\/p>\n<ul>\n<li>\u7b80\u6d01\u660e\u4e86\uff0c\u4ee3\u7801\u884c\u6570\u5c11\u3002<\/li>\n<li>\u9002\u5408\u5904\u7406\u5c0f\u89c4\u6a21\u6570\u636e\u3002<\/li>\n<\/ul>\n<p><h4>\u7f3a\u70b9\uff1a<\/h4>\n<\/p>\n<ul>\n<li>\u5bf9\u4e8e\u5927\u578b\u6570\u636e\u96c6\uff0c\u53ef\u80fd\u4e0d\u591f\u9ad8\u6548\u3002<\/li>\n<\/ul>\n<p><h3>\u4e8c\u3001\u4f7f\u7528NumPy\u5e93<\/h3>\n<\/p>\n<p><p>NumPy\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\u64cd\u4f5c\u3002\u4f7f\u7528NumPy\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u4e3a\u4e00\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>two_d_array = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])<\/p>\n<p>one_d_array = two_d_array.flatten()<\/p>\n<p>print(one_d_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\uff0c\u7136\u540e\u4f7f\u7528<code>flatten()<\/code>\u65b9\u6cd5\u5c06\u5176\u5c55\u5e73\u4e3a\u4e00\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><h4>\u4f18\u70b9\uff1a<\/h4>\n<\/p>\n<ul>\n<li>\u9ad8\u6548\uff0c\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002<\/li>\n<li>\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u7ec4\u64cd\u4f5c\u529f\u80fd\u3002<\/li>\n<\/ul>\n<p><h4>\u7f3a\u70b9\uff1a<\/h4>\n<\/p>\n<ul>\n<li>\u9700\u8981\u5b89\u88c5NumPy\u5e93\uff0c\u589e\u52a0\u4e86\u4f9d\u8d56\u3002<\/li>\n<\/ul>\n<p><h3>\u4e09\u3001\u4f7f\u7528itertools\u6a21\u5757<\/h3>\n<\/p>\n<p><p>itertools\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u4e9b\u9ad8\u6548\u7684\u8fed\u4ee3\u5668\u5de5\u5177\uff0c\u53ef\u4ee5\u7528\u4e8e\u5404\u79cd\u590d\u6742\u7684\u8fed\u4ee3\u4efb\u52a1\u3002\u4f7f\u7528itertools.ch<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>n()\u65b9\u6cd5\u53ef\u4ee5\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u4e3a\u4e00\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import itertools<\/p>\n<p>two_d_array = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]<\/p>\n<p>one_d_array = list(itertools.chain(*two_d_array))<\/p>\n<p>print(one_d_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86itertools.chain()\u65b9\u6cd5\uff0c\u5e76\u901a\u8fc7\u89e3\u5305\u64cd\u4f5c\u7b26<code>*<\/code>\u5c06\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u7684\u5b50\u5217\u8868\u4f20\u9012\u7ed9chain()\u3002<\/p>\n<\/p>\n<p><h4>\u4f18\u70b9\uff1a<\/h4>\n<\/p>\n<ul>\n<li>\u9ad8\u6548\uff0c\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002<\/li>\n<li>\u4e0d\u9700\u8981\u989d\u5916\u7684\u5e93\uff08itertools\u662fPython\u5185\u7f6e\u6a21\u5757\uff09\u3002<\/li>\n<\/ul>\n<p><h4>\u7f3a\u70b9\uff1a<\/h4>\n<\/p>\n<ul>\n<li>\u8bed\u6cd5\u76f8\u5bf9\u590d\u6742\uff0c\u4e0d\u5982\u5217\u8868\u63a8\u5bfc\u5f0f\u76f4\u89c2\u3002<\/li>\n<\/ul>\n<p><h3>\u56db\u3001\u4f7f\u7528\u9012\u5f52\u65b9\u6cd5<\/h3>\n<\/p>\n<p><p>\u9012\u5f52\u65b9\u6cd5\u662f\u4e00\u79cd\u7075\u6d3b\u4e14\u5f3a\u5927\u7684\u7b97\u6cd5\u8bbe\u8ba1\u6280\u5de7\uff0c\u53ef\u4ee5\u7528\u4e8e\u89e3\u51b3\u5404\u79cd\u590d\u6742\u7684\u5d4c\u5957\u7ed3\u6784\u95ee\u9898\u3002\u5728\u5904\u7406\u5d4c\u5957\u5217\u8868\u65f6\uff0c\u9012\u5f52\u65b9\u6cd5\u540c\u6837\u9002\u7528\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">def flatten_list(nested_list):<\/p>\n<p>    flat_list = []<\/p>\n<p>    for item in nested_list:<\/p>\n<p>        if isinstance(item, list):<\/p>\n<p>            flat_list.extend(flatten_list(item))<\/p>\n<p>        else:<\/p>\n<p>            flat_list.append(item)<\/p>\n<p>    return flat_list<\/p>\n<p>two_d_array = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]<\/p>\n<p>one_d_array = flatten_list(two_d_array)<\/p>\n<p>print(one_d_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u9012\u5f52\u51fd\u6570<code>flatten_list()<\/code>\uff0c\u7528\u4e8e\u5c06\u5d4c\u5957\u5217\u8868\u5c55\u5e73\u6210\u4e00\u7ef4\u5217\u8868\u3002\u51fd\u6570\u9996\u5148\u68c0\u67e5\u5f53\u524d\u5143\u7d20\u662f\u5426\u4e3a\u5217\u8868\uff0c\u5982\u679c\u662f\uff0c\u5219\u9012\u5f52\u8c03\u7528\u81ea\u8eab\uff1b\u5426\u5219\uff0c\u5c06\u5143\u7d20\u6dfb\u52a0\u5230\u7ed3\u679c\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n<p><h4>\u4f18\u70b9\uff1a<\/h4>\n<\/p>\n<ul>\n<li>\u7075\u6d3b\uff0c\u9002\u7528\u4e8e\u5904\u7406\u4efb\u610f\u6df1\u5ea6\u7684\u5d4c\u5957\u5217\u8868\u3002<\/li>\n<li>\u4ee3\u7801\u903b\u8f91\u6e05\u6670\u3002<\/li>\n<\/ul>\n<p><h4>\u7f3a\u70b9\uff1a<\/h4>\n<\/p>\n<ul>\n<li>\u9012\u5f52\u6df1\u5ea6\u8fc7\u5927\u65f6\uff0c\u53ef\u80fd\u5bfc\u81f4\u6808\u6ea2\u51fa\u3002<\/li>\n<li>\u76f8\u5bf9\u4e8e\u5176\u4ed6\u65b9\u6cd5\uff0c\u6548\u7387\u7a0d\u4f4e\u3002<\/li>\n<\/ul>\n<p><h3>\u4e94\u3001\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u7ed3\u5408<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\uff0c\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u4ee5\u8fbe\u5230\u6700\u4f73\u6548\u679c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5728\u521d\u6b65\u5904\u7406\u6570\u636e\u65f6\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u968f\u540e\u4f7f\u7528NumPy\u8fdb\u884c\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>two_d_array = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]<\/p>\n<h2><strong>\u521d\u6b65\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u5c55\u5e73<\/strong><\/h2>\n<p>intermediate_array = [item for sublist in two_d_array for item in sublist]<\/p>\n<h2><strong>\u4f7f\u7528NumPy\u8fdb\u884c\u8fdb\u4e00\u6b65\u64cd\u4f5c<\/strong><\/h2>\n<p>one_d_array = np.array(intermediate_array).flatten()<\/p>\n<p>print(one_d_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u5bf9\u4e8c\u7ef4\u6570\u7ec4\u8fdb\u884c\u521d\u6b65\u5c55\u5e73\uff0c\u7136\u540e\u4f7f\u7528NumPy\u5bf9\u4e2d\u95f4\u6570\u7ec4\u8fdb\u884c\u8fdb\u4e00\u6b65\u64cd\u4f5c\u3002\u8fd9\u79cd\u65b9\u6cd5\u7ed3\u5408\u4e86\u4e24\u8005\u7684\u4f18\u70b9\uff0c\u4f7f\u4ee3\u7801\u65e2\u7b80\u6d01\u53c8\u9ad8\u6548\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u51e0\u79cd\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u4e3a\u4e00\u7ef4\u6570\u7ec4\u7684\u65b9\u6cd5\uff0c\u5305\u62ec<strong>\u5217\u8868\u63a8\u5bfc\u5f0f\u3001NumPy\u5e93\u3001itertools\u6a21\u5757\u3001\u9012\u5f52\u65b9\u6cd5<\/strong>\uff0c\u4ee5\u53ca<strong>\u591a\u79cd\u65b9\u6cd5\u7ed3\u5408<\/strong>\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u70b9\u548c\u9002\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u5217\u8868\u63a8\u5bfc\u5f0f<\/strong>\uff1a\u7b80\u6d01\u660e\u4e86\uff0c\u9002\u5408\u5904\u7406\u5c0f\u89c4\u6a21\u6570\u636e\u3002<\/li>\n<li><strong>NumPy\u5e93<\/strong>\uff1a\u9ad8\u6548\uff0c\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\uff0c\u4f46\u9700\u8981\u989d\u5916\u7684\u5e93\u3002<\/li>\n<li><strong>itertools\u6a21\u5757<\/strong>\uff1a\u9ad8\u6548\uff0c\u4e0d\u9700\u8981\u989d\u5916\u7684\u5e93\uff0c\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002<\/li>\n<li><strong>\u9012\u5f52\u65b9\u6cd5<\/strong>\uff1a\u7075\u6d3b\uff0c\u9002\u7528\u4e8e\u5904\u7406\u4efb\u610f\u6df1\u5ea6\u7684\u5d4c\u5957\u5217\u8868\uff0c\u4f46\u6548\u7387\u7a0d\u4f4e\u3002<\/li>\n<li><strong>\u591a\u79cd\u65b9\u6cd5\u7ed3\u5408<\/strong>\uff1a\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u7684\u4f18\u70b9\uff0c\u4ee5\u8fbe\u5230\u6700\u4f73\u6548\u679c\u3002<\/li>\n<\/ul>\n<p><p>\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u548c\u6570\u636e\u89c4\u6a21\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u4ee3\u7801\u7684\u6548\u7387\u548c\u53ef\u8bfb\u6027\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528Python\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u4e3a\u4e00\u7ef4\u6570\u7ec4\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5728Python\u4e2d\uff0c\u6709\u54ea\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\u53ef\u4ee5\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6362\u4e3a\u4e00\u7ef4\u6570\u7ec4\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6362\u4e3a\u4e00\u7ef4\u6570\u7ec4\u7684\u5e38\u7528\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528NumPy\u5e93\u7684<code>flatten()<\/code>\u6216<code>ravel()<\/code>\u51fd\u6570\u3001\u5217\u8868\u63a8\u5bfc\u5f0f\u4ee5\u53ca\u5185\u7f6e\u7684<code>itertools.chain<\/code>\u6a21\u5757\u3002\u4f7f\u7528NumPy\u65f6\uff0c<code>flatten()<\/code>\u4f1a\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u4e00\u7ef4\u6570\u7ec4\uff0c\u800c<code>ravel()<\/code>\u5219\u8fd4\u56de\u4e00\u4e2a\u89c6\u56fe\uff08\u5982\u679c\u53ef\u80fd\u7684\u8bdd\uff09\u3002\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u53ef\u4ee5\u901a\u8fc7\u5d4c\u5957\u5faa\u73af\u904d\u5386\u4e8c\u7ef4\u6570\u7ec4\u7684\u5143\u7d20\uff0c\u751f\u6210\u4e00\u7ef4\u6570\u7ec4\u3002\u800c<code>itertools.chain<\/code>\u5219\u901a\u8fc7\u94fe\u5f0f\u8fde\u63a5\u7684\u65b9\u5f0f\u5c06\u4e8c\u7ef4\u6570\u7ec4\u5c55\u5e73\u3002<\/p>\n<p><strong>\u8f6c\u6362\u540e\u7684\u7ed3\u679c\u4f1a\u4fdd\u6301\u5143\u7d20\u7684\u987a\u5e8f\u5417\uff1f<\/strong><br \/>\u662f\u7684\uff0c\u4f7f\u7528\u4e0a\u8ff0\u65b9\u6cd5\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6362\u4e3a\u4e00\u7ef4\u6570\u7ec4\u65f6\uff0c\u5143\u7d20\u7684\u987a\u5e8f\u4f1a\u4fdd\u6301\u4e0d\u53d8\u3002\u65e0\u8bba\u662f\u6309\u884c\u4f18\u5148\uff08\u884c\u4e3b\u5e8f\uff09\u8fd8\u662f\u6309\u5217\u4f18\u5148\uff08\u5217\u4e3b\u5e8f\uff09\uff0c\u8f6c\u6362\u7ed3\u679c\u4e2d\u7684\u5143\u7d20\u987a\u5e8f\u4e0e\u539f\u59cb\u4e8c\u7ef4\u6570\u7ec4\u7684\u6392\u5217\u4e00\u81f4\u3002<\/p>\n<p><strong>\u5982\u679c\u4e8c\u7ef4\u6570\u7ec4\u5305\u542b\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\uff0c\u8f6c\u6362\u540e\u4f1a\u6709\u4ec0\u4e48\u53d8\u5316\u5417\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u4e8c\u7ef4\u6570\u7ec4\u7684\u5143\u7d20\u53ef\u4ee5\u662f\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\u3002\u5f53\u5c06\u5176\u8f6c\u6362\u4e3a\u4e00\u7ef4\u6570\u7ec4\u65f6\uff0c\u7ed3\u679c\u4ecd\u7136\u4f1a\u4fdd\u7559\u8fd9\u4e9b\u6570\u636e\u7c7b\u578b\u3002\u5982\u679c\u4f7f\u7528NumPy\u8fdb\u884c\u8f6c\u6362\uff0c\u7ed3\u679c\u4f1a\u88ab\u8f6c\u6362\u4e3a\u7edf\u4e00\u7684\u7c7b\u578b\uff0c\u8fd9\u901a\u5e38\u662fNumPy\u6240\u652f\u6301\u7684\u6700\u5e7f\u6cdb\u7684\u7c7b\u578b\uff08\u4f8b\u5982\uff0c\u6574\u6570\u548c\u6d6e\u70b9\u6570\u4f1a\u88ab\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\uff09\u3002\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u6216\u5176\u4ed6\u6807\u51c6Python\u65b9\u6cd5\u5219\u53ef\u4ee5\u4fdd\u7559\u6bcf\u4e2a\u5143\u7d20\u7684\u539f\u59cb\u7c7b\u578b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6210\u4e00\u7ef4\u6570\u7ec4\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001NumPy\u5e93\u4ee5\u53caitertools\u6a21\u5757\u7b49\u3002 [&hellip;]","protected":false},"author":3,"featured_media":1134308,"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\/1134305"}],"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=1134305"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1134305\/revisions"}],"predecessor-version":[{"id":1134310,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1134305\/revisions\/1134310"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1134308"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1134305"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1134305"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1134305"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}