{"id":958978,"date":"2024-12-27T03:36:43","date_gmt":"2024-12-26T19:36:43","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/958978.html"},"modified":"2024-12-27T03:36:45","modified_gmt":"2024-12-26T19:36:45","slug":"python%e5%a6%82%e4%bd%95%e8%be%93%e5%87%ba%e6%95%b0%e7%bb%84%e7%bb%b4%e5%ba%a6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/958978.html","title":{"rendered":"python\u5982\u4f55\u8f93\u51fa\u6570\u7ec4\u7ef4\u5ea6"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25101928\/7aee1acd-0fc6-47d0-a321-c8666b473f82.webp\" alt=\"python\u5982\u4f55\u8f93\u51fa\u6570\u7ec4\u7ef4\u5ea6\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u8f93\u51fa\u6570\u7ec4\u7684\u7ef4\u5ea6\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff0c\u4e3b\u8981\u5305\u62ec\uff1a\u4f7f\u7528NumPy\u5e93\u7684ndim\u5c5e\u6027\u3001\u4f7f\u7528shape\u5c5e\u6027\u3001\u4ee5\u53ca\u901a\u8fc7\u81ea\u5b9a\u4e49\u51fd\u6570\u83b7\u53d6\u3002<\/strong>\u5176\u4e2d\uff0cNumPy\u5e93\u7684ndim\u5c5e\u6027\u662f\u6700\u4e3a\u5e38\u7528\u548c\u7b80\u5355\u7684\u65b9\u6cd5\u3002NumPy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5e93\uff0c\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u3002\u4f7f\u7528NumPy\u5e93\u4e2d\u7684ndim\u5c5e\u6027\u53ef\u4ee5\u76f4\u63a5\u83b7\u53d6\u6570\u7ec4\u7684\u7ef4\u5ea6\uff0c\u8fd9\u662f\u56e0\u4e3aNumPy\u7684\u6570\u7ec4\u5bf9\u8c61\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5185\u7f6e\u7684\u5c5e\u6027ndim\u6765\u8868\u793a\u6570\u7ec4\u7684\u7ef4\u5ea6\u3002<\/p>\n<\/p>\n<p><p>NumPy\u5e93\u662fPython\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684N\u7ef4\u6570\u7ec4\u5bf9\u8c61\uff0c\u79f0\u4e3andarray\u3002ndarray\u5bf9\u8c61\u7684\u5c5e\u6027ndim\u5c31\u662f\u7528\u6765\u8fd4\u56de\u6570\u7ec4\u7684\u7ef4\u6570\u3002\u901a\u5e38\uff0cNumPy\u6570\u7ec4\u7684\u7ef4\u5ea6\u53c8\u79f0\u4e3a\u8f74\uff08axes\uff09\uff0c\u8f74\u7684\u6570\u91cf\u88ab\u79f0\u4e3a\u6570\u7ec4\u7684\u79e9\uff08rank\uff09\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528NUMPY\u5e93\u7684NDIM\u5c5e\u6027<\/h3>\n<\/p>\n<p><p>NumPy\u5e93\u7684ndim\u5c5e\u6027\u53ef\u4ee5\u5feb\u901f\u83b7\u53d6\u6570\u7ec4\u7684\u7ef4\u5ea6\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e00\u5c5e\u6027\u3002<\/p>\n<\/p>\n<p><h4>1. \u5b89\u88c5\u548c\u5bfc\u5165NumPy\u5e93<\/h4>\n<\/p>\n<p><p>\u5728\u4f7f\u7528NumPy\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u786e\u4fddNumPy\u5e93\u5df2\u7ecf\u5b89\u88c5\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u901a\u8fc7pip\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u4fbf\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165NumPy\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u521b\u5efaNumPy\u6570\u7ec4<\/h4>\n<\/p>\n<p><p>\u521b\u5efa\u4e00\u4e2aNumPy\u6570\u7ec4\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u4f7f\u7528<code>numpy.array()<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">array_1d = np.array([1, 2, 3, 4, 5])<\/p>\n<p>array_2d = np.array([[1, 2, 3], [4, 5, 6]])<\/p>\n<p>array_3d = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0c<code>array_1d<\/code>\u662f\u4e00\u4e2a\u4e00\u7ef4\u6570\u7ec4\uff0c<code>array_2d<\/code>\u662f\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\uff0c\u800c<code>array_3d<\/code>\u5219\u662f\u4e00\u4e2a\u4e09\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><h4>3. \u4f7f\u7528ndim\u5c5e\u6027\u83b7\u53d6\u6570\u7ec4\u7ef4\u5ea6<\/h4>\n<\/p>\n<p><p>\u521b\u5efa\u6570\u7ec4\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528ndim\u5c5e\u6027\u6765\u83b7\u53d6\u6570\u7ec4\u7684\u7ef4\u5ea6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">print(array_1d.ndim)  # \u8f93\u51fa: 1<\/p>\n<p>print(array_2d.ndim)  # \u8f93\u51fa: 2<\/p>\n<p>print(array_3d.ndim)  # \u8f93\u51fa: 3<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ece\u4e0a\u9762\u7684\u8f93\u51fa\u53ef\u4ee5\u770b\u51fa\uff0cndim\u5c5e\u6027\u8fd4\u56de\u4e86\u6570\u7ec4\u7684\u7ef4\u5ea6\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528SHAPE\u5c5e\u6027<\/h3>\n<\/p>\n<p><p>\u9664\u4e86ndim\u5c5e\u6027\u5916\uff0cNumPy\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e2a\u540d\u4e3ashape\u7684\u5c5e\u6027\uff0c\u867d\u7136shape\u5c5e\u6027\u4e3b\u8981\u7528\u4e8e\u83b7\u53d6\u6570\u7ec4\u7684\u5f62\u72b6\uff08\u5373\u5404\u4e2a\u8f74\u4e0a\u7684\u5143\u7d20\u6570\u76ee\uff09\uff0c\u4f46\u901a\u8fc7shape\u5c5e\u6027\u7684\u957f\u5ea6\u4e5f\u53ef\u4ee5\u95f4\u63a5\u83b7\u53d6\u6570\u7ec4\u7684\u7ef4\u5ea6\u3002<\/p>\n<\/p>\n<p><h4>1. \u83b7\u53d6\u6570\u7ec4\u7684\u5f62\u72b6<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528shape\u5c5e\u6027\u53ef\u4ee5\u83b7\u53d6\u6570\u7ec4\u7684\u5f62\u72b6\uff0c\u5b83\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u6bcf\u4e2a\u8f74\u5927\u5c0f\u7684\u5143\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">shape_1d = array_1d.shape  # \u8f93\u51fa: (5,)<\/p>\n<p>shape_2d = array_2d.shape  # \u8f93\u51fa: (2, 3)<\/p>\n<p>shape_3d = array_3d.shape  # \u8f93\u51fa: (2, 2, 2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u901a\u8fc7shape\u83b7\u53d6\u7ef4\u5ea6<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7\u83b7\u53d6shape\u7684\u957f\u5ea6\uff0c\u53ef\u4ee5\u5f97\u5230\u6570\u7ec4\u7684\u7ef4\u5ea6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">print(len(shape_1d))  # \u8f93\u51fa: 1<\/p>\n<p>print(len(shape_2d))  # \u8f93\u51fa: 2<\/p>\n<p>print(len(shape_3d))  # \u8f93\u51fa: 3<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u901a\u8fc7\u81ea\u5b9a\u4e49\u51fd\u6570\u83b7\u53d6\u6570\u7ec4\u7ef4\u5ea6<\/h3>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u5bf9\u81ea\u5b9a\u4e49\u7684\u591a\u7ef4\u5217\u8868\u8fdb\u884c\u7ef4\u5ea6\u5224\u65ad\uff0c\u800c\u4e0d\u662fNumPy\u6570\u7ec4\uff0c\u8fd9\u65f6\u53ef\u4ee5\u7f16\u5199\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u9012\u5f52\u8ba1\u7b97\u6570\u7ec4\u7684\u7ef4\u5ea6\u3002<\/p>\n<\/p>\n<p><h4>1. \u7f16\u5199\u81ea\u5b9a\u4e49\u51fd\u6570<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u901a\u8fc7\u9012\u5f52\u7684\u65b9\u6cd5\u6765\u7f16\u5199\u4e00\u4e2a\u51fd\u6570\uff0c\u7528\u4ee5\u83b7\u53d6\u6570\u7ec4\u7684\u7ef4\u5ea6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def get_dimension(arr):<\/p>\n<p>    if isinstance(arr, list):<\/p>\n<p>        return 1 + get_dimension(arr[0])<\/p>\n<p>    return 0<\/p>\n<p>custom_array = [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]<\/p>\n<p>print(get_dimension(custom_array))  # \u8f93\u51fa: 3<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u51fd\u6570\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u68c0\u67e5\u4f20\u5165\u7684\u5bf9\u8c61\u662f\u5426\u662f\u5217\u8868\uff0c\u5982\u679c\u662f\uff0c\u5219\u9012\u5f52\u8c03\u7528\u81ea\u8eab\uff0c\u5e76\u5728\u8fd4\u56de\u503c\u4e0a\u52a01\uff0c\u76f4\u5230\u4e0d\u518d\u662f\u5217\u8868\u4e3a\u6b62\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001NUMPY\u7684\u4f18\u52bf\u548c\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n<p><p>NumPy\u5e93\u4e0d\u4ec5\u63d0\u4f9b\u4e86\u7b80\u5355\u7684\u65b9\u6cd5\u6765\u83b7\u53d6\u6570\u7ec4\u7684\u7ef4\u5ea6\uff0c\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u5f3a\u5927\u7684\u529f\u80fd\u6765\u5904\u7406\u591a\u7ef4\u6570\u7ec4\u3002\u4ee5\u4e0b\u662fNumPy\u7684\u4e00\u4e9b\u4f18\u52bf\u548c\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n<p><h4>1. \u5feb\u901f\u7684\u6570\u503c\u8ba1\u7b97<\/h4>\n<\/p>\n<p><p>NumPy\u4f7f\u7528\u9ad8\u6548\u7684C\u548cFortran\u4ee3\u7801\u5b9e\u73b0\uff0c\u80fd\u591f\u8fdb\u884c\u5feb\u901f\u7684\u6570\u503c\u8ba1\u7b97\u3002\u5bf9\u4e8e\u5927\u91cf\u6570\u636e\u7684\u64cd\u4f5c\uff0cNumPy\u7684\u8fd0\u7b97\u901f\u5ea6\u6bd4\u7eafPython\u8981\u5feb\u5f97\u591a\u3002<\/p>\n<\/p>\n<p><h4>2. \u4e30\u5bcc\u7684\u51fd\u6570\u5e93<\/h4>\n<\/p>\n<p><p>NumPy\u63d0\u4f9b\u4e86\u5927\u91cf\u7528\u4e8e\u6570\u7ec4\u64cd\u4f5c\u7684\u51fd\u6570\u5e93\uff0c\u5305\u62ec\u6570\u5b66\u8fd0\u7b97\u3001\u7edf\u8ba1\u5206\u6790\u3001\u7ebf\u6027\u4ee3\u6570\u7b49\uff0c\u6781\u5927\u5730\u65b9\u4fbf\u4e86\u79d1\u5b66\u8ba1\u7b97\u3002<\/p>\n<\/p>\n<p><h4>3. \u4e0e\u5176\u4ed6\u79d1\u5b66\u8ba1\u7b97\u5e93\u7684\u517c\u5bb9\u6027<\/h4>\n<\/p>\n<p><p>NumPy\u662f\u8bb8\u591a\u5176\u4ed6\u79d1\u5b66\u8ba1\u7b97\u5e93\uff08\u5982SciPy\u3001Pandas\u3001Matplotlib\u7b49\uff09\u7684\u57fa\u7840\uff0c\u8fd9\u4e9b\u5e93\u90fd\u4f9d\u8d56\u4e8eNumPy\u6765\u8fdb\u884c\u6570\u636e\u5904\u7406\u3002\u56e0\u6b64\uff0c\u638c\u63e1NumPy\u662f\u5b66\u4e60\u548c\u4f7f\u7528\u5176\u4ed6\u5e93\u7684\u57fa\u7840\u3002<\/p>\n<\/p>\n<p><h4>4. \u5f3a\u5927\u7684\u5e7f\u64ad\u673a\u5236<\/h4>\n<\/p>\n<p><p>NumPy\u7684\u5e7f\u64ad\u673a\u5236\u5141\u8bb8\u5728\u4e0d\u540c\u5f62\u72b6\u7684\u6570\u7ec4\u4e4b\u95f4\u8fdb\u884c\u7b97\u672f\u8fd0\u7b97\uff0c\u800c\u4e0d\u9700\u8981\u663e\u5f0f\u5730\u8fdb\u884c\u6570\u7ec4\u7684\u590d\u5236\u6216\u6269\u5c55\u3002\u8fd9\u79cd\u673a\u5236\u4f7f\u5f97\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u548c\u9ad8\u6548\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u83b7\u53d6\u6570\u7ec4\u7684\u7ef4\u5ea6\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u6700\u5e38\u7528\u7684\u662f\u4f7f\u7528NumPy\u5e93\u7684ndim\u5c5e\u6027\u3002\u8fd9\u662f\u56e0\u4e3aNumPy\u662f\u5904\u7406\u6570\u7ec4\u7684\u6807\u51c6\u5de5\u5177\uff0c\u63d0\u4f9b\u4e86\u7b80\u5355\u4e14\u9ad8\u6548\u7684\u65b9\u6cd5\u6765\u83b7\u53d6\u6570\u7ec4\u7684\u7ef4\u5ea6\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7shape\u5c5e\u6027\u6216\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u5b9e\u73b0\u3002NumPy\u4e0d\u4ec5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u8f7b\u677e\u83b7\u53d6\u6570\u7ec4\u7684\u7ef4\u5ea6\uff0c\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u5f3a\u5927\u7684\u529f\u80fd\u6765\u5904\u7406\u5404\u79cd\u79d1\u5b66\u8ba1\u7b97\u4efb\u52a1\u3002\u65e0\u8bba\u662f\u8fdb\u884c\u7b80\u5355\u7684\u6570\u636e\u5904\u7406\u8fd8\u662f\u590d\u6742\u7684\u79d1\u5b66\u8ba1\u7b97\uff0cNumPy\u90fd\u662f\u4e00\u4e2a\u4e0d\u53ef\u6216\u7f3a\u7684\u5de5\u5177\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u8bfb\u8005\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u548c\u4f7f\u7528NumPy\u5e93\u6765\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u67e5\u770b\u6570\u7ec4\u7684\u7ef4\u5ea6\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u6765\u5904\u7406\u6570\u7ec4\uff0c\u5e76\u901a\u8fc7<code>numpy.ndarray.shape<\/code>\u5c5e\u6027\u6765\u67e5\u770b\u6570\u7ec4\u7684\u7ef4\u5ea6\u3002\u4f7f\u7528\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">import numpy as np\n\narray = np.array([[1, 2, 3], [4, 5, 6]])\nprint(array.shape)  # \u8f93\u51fa\u4e3a(2, 3)\uff0c\u8868\u793a2\u884c3\u5217\n<\/code><\/pre>\n<p>\u8fd9\u91cc<code>shape<\/code>\u8fd4\u56de\u7684\u662f\u4e00\u4e2a\u5143\u7ec4\uff0c\u5305\u542b\u6bcf\u4e2a\u7ef4\u5ea6\u7684\u5927\u5c0f\u3002<\/p>\n<p><strong>Python\u4e2d\u6709\u54ea\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u6570\u7ec4\u7684\u7ef4\u5ea6\u4fe1\u606f\uff1f<\/strong><br \/>\u9664\u4e86\u4f7f\u7528<code>shape<\/code>\u5c5e\u6027\u5916\uff0cNumPy\u8fd8\u63d0\u4f9b\u4e86<code>ndim<\/code>\u5c5e\u6027\uff0c\u53ef\u4ee5\u76f4\u63a5\u8fd4\u56de\u6570\u7ec4\u7684\u7ef4\u5ea6\u6570\u91cf\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\">print(array.ndim)  # \u8f93\u51fa\u4e3a2\uff0c\u8868\u793a\u8fd9\u662f\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\n<\/code><\/pre>\n<p>\u6b64\u5916\uff0c\u4f7f\u7528<code>len()<\/code>\u51fd\u6570\u53ef\u4ee5\u83b7\u53d6\u6570\u7ec4\u5728\u7b2c\u4e00\u4e2a\u7ef4\u5ea6\u4e0a\u7684\u5927\u5c0f\u3002<\/p>\n<p><strong>\u5728\u4f7f\u7528Python\u5904\u7406\u591a\u7ef4\u6570\u7ec4\u65f6\uff0c\u5982\u4f55\u5224\u65ad\u6570\u7ec4\u7684\u7ef4\u5ea6\u662f\u5426\u7b26\u5408\u9884\u671f\uff1f<\/strong><br \/>\u53ef\u4ee5\u7ed3\u5408<code>numpy.shape<\/code>\u548c\u6761\u4ef6\u8bed\u53e5\u6765\u5224\u65ad\u6570\u7ec4\u7684\u7ef4\u5ea6\u3002\u4f8b\u5982\uff0c\u5982\u679c\u671f\u671b\u4e00\u4e2a\u4e09\u7ef4\u6570\u7ec4\uff0c\u53ef\u4ee5\u8fd9\u6837\u68c0\u67e5\uff1a<\/p>\n<pre><code class=\"language-python\">if array.ndim == 3:\n    print(&quot;\u6570\u7ec4\u662f\u4e09\u7ef4\u7684&quot;)\nelse:\n    print(&quot;\u6570\u7ec4\u4e0d\u662f\u4e09\u7ef4\u7684\uff0c\u5f53\u524d\u7ef4\u5ea6\u4e3a:&quot;, array.ndim)\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u5f0f\u80fd\u591f\u5e2e\u52a9\u4f60\u5728\u5904\u7406\u6570\u636e\u65f6\u786e\u4fdd\u6570\u636e\u7684\u7ef4\u5ea6\u7b26\u5408\u9884\u671f\uff0c\u4ece\u800c\u51cf\u5c11\u540e\u7eed\u8ba1\u7b97\u4e2d\u7684\u9519\u8bef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u8f93\u51fa\u6570\u7ec4\u7684\u7ef4\u5ea6\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff0c\u4e3b\u8981\u5305\u62ec\uff1a\u4f7f\u7528NumPy\u5e93\u7684ndim\u5c5e\u6027\u3001\u4f7f\u7528shape\u5c5e\u6027 [&hellip;]","protected":false},"author":3,"featured_media":958983,"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\/958978"}],"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=958978"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/958978\/revisions"}],"predecessor-version":[{"id":958986,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/958978\/revisions\/958986"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/958983"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=958978"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=958978"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=958978"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}