{"id":1140148,"date":"2025-01-08T22:17:20","date_gmt":"2025-01-08T14:17:20","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1140148.html"},"modified":"2025-01-08T22:17:22","modified_gmt":"2025-01-08T14:17:22","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e6%95%b4%e5%bd%a2%e6%95%b0%e7%bb%84%e8%bd%ac%e6%8d%a2%e4%b8%ba%e6%b5%ae%e7%82%b9%e5%9e%8b-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1140148.html","title":{"rendered":"python\u5982\u4f55\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25103226\/1dccd0be-b21c-4f00-83f8-11ce6f20d37f.webp\" alt=\"python\u5982\u4f55\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\" \/><\/p>\n<p><p> <strong>\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u7684\u65b9\u6cd5\u6709\u591a\u79cd\u3001\u5e38\u7528\u7684\u6709\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001\u4f7f\u7528NumPy\u5e93\u3001\u76f4\u63a5\u4f7f\u7528Python\u7684\u5185\u7f6e\u51fd\u6570map\u7b49\u65b9\u5f0f\u3002<\/strong> <\/p>\n<\/p>\n<p><p>\u4f7f\u7528NumPy\u5e93\u662f\u6700\u63a8\u8350\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3aNumPy\u63d0\u4f9b\u4e86\u9ad8\u6548\u4e14\u7b80\u6d01\u7684\u6570\u7ec4\u64cd\u4f5c\u65b9\u5f0f\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u8fdb\u884c\u8f6c\u6362\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\u662f\u4e00\u79cd\u7b80\u6d01\u4e14\u6613\u8bfb\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u53ef\u4ee5\u8f7b\u677e\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u539f\u59cb\u6574\u5f62\u6570\u7ec4<\/p>\n<p>int_array = [1, 2, 3, 4, 5]<\/p>\n<h2><strong>\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u6570\u7ec4<\/strong><\/h2>\n<p>float_array = [float(i) for i in int_array]<\/p>\n<p>print(float_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u7684\u4f18\u52bf\u5728\u4e8e<strong>\u7b80\u5355\u76f4\u89c2<\/strong>\uff0c\u9002\u5408\u521d\u5b66\u8005\u4f7f\u7528\uff0c\u540c\u65f6\u4e0d\u4f9d\u8d56\u4e8e\u4efb\u4f55\u5916\u90e8\u5e93\u3002\u7f3a\u70b9\u662f\u5728\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u65f6\u53ef\u80fd\u4e0d\u5982NumPy\u9ad8\u6548\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528NumPy\u5e93<\/h3>\n<\/p>\n<p><p>NumPy\u662fPython\u4e2d\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u7684\u5f3a\u5927\u5e93\u3002\u4f7f\u7528NumPy\uff0c\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u539f\u59cb\u6574\u5f62\u6570\u7ec4<\/strong><\/h2>\n<p>int_array = np.array([1, 2, 3, 4, 5])<\/p>\n<h2><strong>\u4f7f\u7528astype\u65b9\u6cd5\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u6570\u7ec4<\/strong><\/h2>\n<p>float_array = int_array.astype(float)<\/p>\n<p>print(float_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>NumPy\u7684\u4f18\u52bf\u5728\u4e8e<strong>\u9ad8\u6548\u3001\u7b80\u6d01\u3001\u529f\u80fd\u5f3a\u5927<\/strong>\uff0c\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002NumPy\u4e0d\u4ec5\u53ef\u4ee5\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\uff0c\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528map\u51fd\u6570<\/h3>\n<\/p>\n<p><p>map\u51fd\u6570\u662fPython\u5185\u7f6e\u7684\u9ad8\u9636\u51fd\u6570\uff0c\u53ef\u4ee5\u5bf9\u53ef\u8fed\u4ee3\u5bf9\u8c61\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u5e94\u7528\u6307\u5b9a\u7684\u51fd\u6570\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u539f\u59cb\u6574\u5f62\u6570\u7ec4<\/p>\n<p>int_array = [1, 2, 3, 4, 5]<\/p>\n<h2><strong>\u4f7f\u7528map\u51fd\u6570\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u6570\u7ec4<\/strong><\/h2>\n<p>float_array = list(map(float, int_array))<\/p>\n<p>print(float_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4f7f\u7528map\u51fd\u6570\u7684\u4f18\u52bf\u5728\u4e8e<strong>\u7b80\u6d01\u9ad8\u6548<\/strong>\uff0c\u9002\u5408\u9700\u8981\u5bf9\u5143\u7d20\u8fdb\u884c\u9010\u4e2a\u8f6c\u6362\u7684\u573a\u666f\u3002\u7f3a\u70b9\u662f\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u53ef\u80fd\u4e0d\u5982\u5217\u8868\u63a8\u5bfc\u5f0f\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u8be6\u7ec6\u63cf\u8ff0NumPy\u7684\u4f7f\u7528\u65b9\u6cd5\u53ca\u5176\u4f18\u52bf<\/h3>\n<\/p>\n<p><p>NumPy\u4e0d\u4ec5\u53ef\u4ee5\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\uff0c\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\uff0c\u5982\u6570\u7ec4\u7684\u5207\u7247\u3001\u7d22\u5f15\u3001\u5f62\u72b6\u53d8\u6362\u7b49\u3002\u4e0b\u9762\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecdNumPy\u7684\u4f7f\u7528\u65b9\u6cd5\u53ca\u5176\u4f18\u52bf\u3002<\/p>\n<\/p>\n<p><h4>1\u3001NumPy\u6570\u7ec4\u7684\u521b\u5efa<\/h4>\n<\/p>\n<p><p>NumPy\u652f\u6301\u591a\u79cd\u65b9\u5f0f\u521b\u5efa\u6570\u7ec4\uff0c\u5982\u4ece\u5217\u8868\u521b\u5efa\u3001\u4f7f\u7528arange\u51fd\u6570\u521b\u5efa\u3001\u4f7f\u7528linspace\u51fd\u6570\u521b\u5efa\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u4ece\u5217\u8868\u521b\u5efa\u6570\u7ec4<\/strong><\/h2>\n<p>array_from_list = np.array([1, 2, 3, 4, 5])<\/p>\n<p>print(array_from_list)<\/p>\n<h2><strong>\u4f7f\u7528arange\u51fd\u6570\u521b\u5efa\u6570\u7ec4<\/strong><\/h2>\n<p>array_arange = np.arange(1, 10, 2)<\/p>\n<p>print(array_arange)<\/p>\n<h2><strong>\u4f7f\u7528linspace\u51fd\u6570\u521b\u5efa\u6570\u7ec4<\/strong><\/h2>\n<p>array_linspace = np.linspace(0, 1, 5)<\/p>\n<p>print(array_linspace)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001NumPy\u6570\u7ec4\u7684\u57fa\u672c\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>NumPy\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\uff0c\u5982\u6570\u7ec4\u7684\u52a0\u51cf\u4e58\u9664\u3001\u77e9\u9635\u4e58\u6cd5\u3001\u6570\u7ec4\u7684\u7d22\u5f15\u548c\u5207\u7247\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6570\u7ec4\u7684\u52a0\u51cf\u4e58\u9664<\/p>\n<p>array = np.array([1, 2, 3, 4, 5])<\/p>\n<p>print(array + 1)<\/p>\n<p>print(array - 1)<\/p>\n<p>print(array * 2)<\/p>\n<p>print(array \/ 2)<\/p>\n<h2><strong>\u77e9\u9635\u4e58\u6cd5<\/strong><\/h2>\n<p>matrix_a = np.array([[1, 2], [3, 4]])<\/p>\n<p>matrix_b = np.array([[5, 6], [7, 8]])<\/p>\n<p>print(np.dot(matrix_a, matrix_b))<\/p>\n<h2><strong>\u6570\u7ec4\u7684\u7d22\u5f15\u548c\u5207\u7247<\/strong><\/h2>\n<p>print(array[0])<\/p>\n<p>print(array[1:3])<\/p>\n<p>print(array[::-1])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001NumPy\u6570\u7ec4\u7684\u9ad8\u7ea7\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>NumPy\u8fd8\u652f\u6301\u9ad8\u7ea7\u64cd\u4f5c\uff0c\u5982\u6570\u7ec4\u7684\u5f62\u72b6\u53d8\u6362\u3001\u6570\u7ec4\u7684\u62fc\u63a5\u548c\u5206\u5272\u3001\u6570\u7ec4\u7684\u5e7f\u64ad\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6570\u7ec4\u7684\u5f62\u72b6\u53d8\u6362<\/p>\n<p>array = np.array([1, 2, 3, 4, 5, 6])<\/p>\n<p>array_reshaped = array.reshape((2, 3))<\/p>\n<p>print(array_reshaped)<\/p>\n<h2><strong>\u6570\u7ec4\u7684\u62fc\u63a5\u548c\u5206\u5272<\/strong><\/h2>\n<p>array1 = np.array([1, 2, 3])<\/p>\n<p>array2 = np.array([4, 5, 6])<\/p>\n<p>array_concatenated = np.concatenate((array1, array2))<\/p>\n<p>print(array_concatenated)<\/p>\n<p>array_split = np.split(array_concatenated, 2)<\/p>\n<p>print(array_split)<\/p>\n<h2><strong>\u6570\u7ec4\u7684\u5e7f\u64ad<\/strong><\/h2>\n<p>array = np.array([[1, 2, 3], [4, 5, 6]])<\/p>\n<p>scalar = 2<\/p>\n<p>print(array * scalar)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5e38\u7528\u7684\u6709<strong>\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001\u4f7f\u7528NumPy\u5e93\u3001\u76f4\u63a5\u4f7f\u7528Python\u7684\u5185\u7f6e\u51fd\u6570map<\/strong>\u7b49\u65b9\u5f0f\u3002<strong>\u4f7f\u7528NumPy\u5e93\u662f\u6700\u63a8\u8350\u7684\u65b9\u6cd5<\/strong>\uff0c\u56e0\u4e3aNumPy\u63d0\u4f9b\u4e86\u9ad8\u6548\u4e14\u7b80\u6d01\u7684\u6570\u7ec4\u64cd\u4f5c\u65b9\u5f0f\uff0c\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002NumPy\u4e0d\u4ec5\u53ef\u4ee5\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\uff0c\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\uff0c\u5982\u6570\u7ec4\u7684\u5207\u7247\u3001\u7d22\u5f15\u3001\u5f62\u72b6\u53d8\u6362\u7b49\u3002\u5e0c\u671b\u672c\u6587\u80fd\u5e2e\u52a9\u8bfb\u8005\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5c06\u6574\u578b\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u6570\u7ec4\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u8f7b\u677e\u5730\u5c06\u6574\u578b\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u6570\u7ec4\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5NumPy\u5e93\uff0c\u7136\u540e\u901a\u8fc7<code>numpy.array()<\/code>\u51fd\u6570\u521b\u5efa\u6574\u578b\u6570\u7ec4\uff0c\u5e76\u4f7f\u7528<code>astype(float)<\/code>\u65b9\u6cd5\u8fdb\u884c\u8f6c\u6362\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\">import numpy as np\n\nint_array = np.array([1, 2, 3, 4])\nfloat_array = int_array.astype(float)\nprint(float_array)  # \u8f93\u51fa: [1. 2. 3. 4.]\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u5927\u591a\u6570\u57fa\u672c\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u4f7f\u7528Python\u539f\u751f\u65b9\u6cd5\u5c06\u6574\u578b\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\uff1f<\/strong><br \/>\u662f\u7684\uff0cPython\u7684\u539f\u751f\u65b9\u6cd5\u4e5f\u53ef\u4ee5\u5b9e\u73b0\u6574\u578b\u6570\u7ec4\u5230\u6d6e\u70b9\u578b\u7684\u8f6c\u6362\u3002\u53ef\u4ee5\u901a\u8fc7\u5217\u8868\u63a8\u5bfc\u5f0f\u6765\u5b8c\u6210\uff1a<\/p>\n<pre><code class=\"language-python\">int_array = [1, 2, 3, 4]\nfloat_array = [float(i) for i in int_array]\nprint(float_array)  # \u8f93\u51fa: [1.0, 2.0, 3.0, 4.0]\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u5c0f\u578b\u6570\u7ec4\uff0c\u4e14\u4e0d\u9700\u8981\u989d\u5916\u5b89\u88c5\u5e93\u3002<\/p>\n<p><strong>\u5728\u8f6c\u6362\u8fc7\u7a0b\u4e2d\u4f1a\u5f71\u54cd\u6570\u636e\u7684\u7cbe\u5ea6\u5417\uff1f<\/strong><br \/>\u6574\u578b\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u65f6\uff0c\u901a\u5e38\u4e0d\u4f1a\u4e22\u5931\u6570\u636e\u7684\u7cbe\u5ea6\uff0c\u56e0\u4e3a\u6d6e\u70b9\u578b\u80fd\u591f\u8868\u793a\u66f4\u5927\u7684\u6570\u503c\u8303\u56f4\u548c\u5c0f\u6570\u90e8\u5206\u3002\u6574\u578b\u6570\u503c\u4f1a\u88ab\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\u8868\u793a\u5f62\u5f0f\uff0c\u4f8b\u59821\u4f1a\u53d8\u4e3a1.0\u3002\u7136\u800c\uff0c\u5982\u679c\u540e\u7eed\u5904\u7406\u6d89\u53ca\u975e\u5e38\u5927\u7684\u6574\u6570\uff0c\u53ef\u80fd\u4f1a\u51fa\u73b0\u7cbe\u5ea6\u635f\u5931\uff0c\u56e0\u6b64\u5728\u8fdb\u884c\u6b64\u7c7b\u8f6c\u6362\u65f6\u9700\u6ce8\u610f\u4f7f\u7528\u7684\u6570\u503c\u8303\u56f4\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5c06\u6574\u5f62\u6570\u7ec4\u8f6c\u6362\u4e3a\u6d6e\u70b9\u578b\u7684\u65b9\u6cd5\u6709\u591a\u79cd\u3001\u5e38\u7528\u7684\u6709\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001\u4f7f\u7528NumPy\u5e93\u3001\u76f4\u63a5\u4f7f\u7528Python\u7684\u5185\u7f6e\u51fd\u6570m [&hellip;]","protected":false},"author":3,"featured_media":1140155,"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\/1140148"}],"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=1140148"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1140148\/revisions"}],"predecessor-version":[{"id":1140156,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1140148\/revisions\/1140156"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1140155"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1140148"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1140148"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1140148"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}