{"id":1138057,"date":"2025-01-08T21:55:32","date_gmt":"2025-01-08T13:55:32","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1138057.html"},"modified":"2025-01-08T21:55:35","modified_gmt":"2025-01-08T13:55:35","slug":"python%e5%a6%82%e4%bd%95%e5%af%b9%e4%b8%80%e4%b8%aa%e6%95%b0%e7%bb%84%e8%bf%9b%e8%a1%8c%e6%8c%87%e6%95%b0%e6%93%8d%e4%bd%9c","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1138057.html","title":{"rendered":"python\u5982\u4f55\u5bf9\u4e00\u4e2a\u6570\u7ec4\u8fdb\u884c\u6307\u6570\u64cd\u4f5c"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25101736\/4fab67ec-7373-4b61-a4a6-bb072cd81eb9.webp\" alt=\"python\u5982\u4f55\u5bf9\u4e00\u4e2a\u6570\u7ec4\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\" \/><\/p>\n<p><p> <strong>Python\u5bf9\u4e00\u4e2a\u6570\u7ec4\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff1a\u4f7f\u7528NumPy\u5e93\u3001\u5217\u8868\u89e3\u6790\u3001math\u5e93\u4e2d\u7684pow\u51fd\u6570\u3002<\/strong>\u672c\u6587\u5c06\u8be6\u7ec6\u63a2\u8ba8\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u4ee3\u7801\u793a\u4f8b\u548c\u6ce8\u610f\u4e8b\u9879\u3002<\/p>\n<\/p>\n<p><h2>\u4e00\u3001\u4f7f\u7528NumPy\u5e93\u8fdb\u884c\u6307\u6570\u64cd\u4f5c<\/h2>\n<\/p>\n<p><p>NumPy\u662fPython\u4e2d\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u7684\u6838\u5fc3\u5e93\u4e4b\u4e00\uff0c\u64c5\u957f\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\u3002\u4f7f\u7528NumPy\u5e93\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u4e0d\u4ec5\u7b80\u6d01\u800c\u4e14\u9ad8\u6548\u3002<\/p>\n<\/p>\n<p><h3>1.1 \u5b89\u88c5\u548c\u5bfc\u5165NumPy\u5e93<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86NumPy\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\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>\u7136\u540e\uff0c\u5728\u4ee3\u7801\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><h3>1.2 \u4f7f\u7528NumPy\u7684power\u51fd\u6570<\/h3>\n<\/p>\n<p><p>NumPy\u63d0\u4f9b\u4e86\u4e00\u4e2a\u65b9\u4fbf\u7684\u51fd\u6570<code>np.power<\/code>\u6765\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u6570\u7ec4<\/strong><\/h2>\n<p>arr = np.array([1, 2, 3, 4, 5])<\/p>\n<h2><strong>\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\uff08\u4f8b\u5982\uff0c\u6307\u6570\u4e3a2\uff09<\/strong><\/h2>\n<p>result = np.power(arr, 2)<\/p>\n<p>print(result)  # \u8f93\u51fa: [ 1  4  9 16 25]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>np.power(arr, 2)<\/code>\u5c06\u6570\u7ec4<code>arr<\/code>\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u7684\u6307\u6570\u63d0\u9ad8\u52302\u3002<\/p>\n<\/p>\n<p><h3>1.3 \u4f7f\u7528NumPy\u7684\u5e7f\u64ad\u673a\u5236<\/h3>\n<\/p>\n<p><p>NumPy\u7684\u5e7f\u64ad\u673a\u5236\u5141\u8bb8\u5bf9\u6570\u7ec4\u548c\u6807\u91cf\u8fdb\u884c\u64cd\u4f5c\uff0c\u800c\u65e0\u9700\u663e\u5f0f\u5730\u521b\u5efa\u76f8\u540c\u5927\u5c0f\u7684\u6570\u7ec4\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u6570\u7ec4<\/strong><\/h2>\n<p>arr = np.array([1, 2, 3, 4, 5])<\/p>\n<h2><strong>\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\uff08\u4f8b\u5982\uff0c\u6307\u6570\u4e3a3\uff09<\/strong><\/h2>\n<p>result = arr  3<\/p>\n<p>print(result)  # \u8f93\u51fa: [  1   8  27  64 125]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>arr  3<\/code>\u4f7f\u7528\u4e86\u5e7f\u64ad\u673a\u5236\uff0c\u5c06\u6570\u7ec4<code>arr<\/code>\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u7684\u6307\u6570\u63d0\u9ad8\u52303\u3002<\/p>\n<\/p>\n<p><h2>\u4e8c\u3001\u4f7f\u7528\u5217\u8868\u89e3\u6790\u8fdb\u884c\u6307\u6570\u64cd\u4f5c<\/h2>\n<\/p>\n<p><p>\u5982\u679c\u4e0d\u60f3\u4f7f\u7528\u5916\u90e8\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5217\u8868\u89e3\u6790\u6765\u5bf9\u6570\u7ec4\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h3>2.1 \u5217\u8868\u89e3\u6790\u57fa\u7840<\/h3>\n<\/p>\n<p><p>\u5217\u8868\u89e3\u6790\u662fPython\u4e2d\u521b\u5efa\u5217\u8868\u7684\u4e00\u79cd\u7b80\u6d01\u65b9\u5f0f\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a\u6570\u7ec4<\/p>\n<p>arr = [1, 2, 3, 4, 5]<\/p>\n<h2><strong>\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\uff08\u4f8b\u5982\uff0c\u6307\u6570\u4e3a2\uff09<\/strong><\/h2>\n<p>result = [x  2 for x in arr]<\/p>\n<p>print(result)  # \u8f93\u51fa: [1, 4, 9, 16, 25]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u5217\u8868\u89e3\u6790<code>[x  2 for x in arr]<\/code>\u5c06\u6570\u7ec4<code>arr<\/code>\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u7684\u6307\u6570\u63d0\u9ad8\u52302\u3002<\/p>\n<\/p>\n<p><h3>2.2 \u66f4\u590d\u6742\u7684\u5217\u8868\u89e3\u6790<\/h3>\n<\/p>\n<p><p>\u5217\u8868\u89e3\u6790\u4e0d\u4ec5\u4ec5\u5c40\u9650\u4e8e\u7b80\u5355\u7684\u6307\u6570\u64cd\u4f5c\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u66f4\u590d\u6742\u7684\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u6761\u4ef6\u5224\u65ad\u548c\u5d4c\u5957\u5217\u8868\u89e3\u6790\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a\u6570\u7ec4<\/p>\n<p>arr = [1, 2, 3, 4, 5]<\/p>\n<h2><strong>\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\uff08\u4f8b\u5982\uff0c\u6307\u6570\u4e3a2\uff09\uff0c\u5e76\u4e14\u4ec5\u5bf9\u5076\u6570\u8fdb\u884c\u64cd\u4f5c<\/strong><\/h2>\n<p>result = [x  2 if x % 2 == 0 else x for x in arr]<\/p>\n<p>print(result)  # \u8f93\u51fa: [1, 4, 3, 16, 5]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u5217\u8868\u89e3\u6790<code>[x  2 if x % 2 == 0 else x for x in arr]<\/code>\u4ec5\u5bf9\u5076\u6570\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h2>\u4e09\u3001\u4f7f\u7528math\u5e93\u4e2d\u7684pow\u51fd\u6570<\/h2>\n<\/p>\n<p><p>Python\u7684math\u5e93\u63d0\u4f9b\u4e86\u4e00\u4e2a<code>pow<\/code>\u51fd\u6570\u6765\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u3002\u867d\u7136\u8fd9\u4e2a\u51fd\u6570\u901a\u5e38\u7528\u4e8e\u6807\u91cf\u64cd\u4f5c\uff0c\u4f46\u4e5f\u53ef\u4ee5\u4e0e\u5217\u8868\u89e3\u6790\u7ed3\u5408\u4f7f\u7528\u3002<\/p>\n<\/p>\n<p><h3>3.1 \u5b89\u88c5\u548c\u5bfc\u5165math\u5e93<\/h3>\n<\/p>\n<p><p>math\u5e93\u662fPython\u7684\u6807\u51c6\u5e93\uff0c\u65e0\u9700\u989d\u5916\u5b89\u88c5\u3002\u53ef\u4ee5\u76f4\u63a5\u5728\u4ee3\u7801\u4e2d\u5bfc\u5165\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import math<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3.2 \u4f7f\u7528math\u5e93\u7684pow\u51fd\u6570<\/h3>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528<code>math.pow<\/code>\u51fd\u6570\u6765\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import math<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u6570\u7ec4<\/strong><\/h2>\n<p>arr = [1, 2, 3, 4, 5]<\/p>\n<h2><strong>\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\uff08\u4f8b\u5982\uff0c\u6307\u6570\u4e3a2\uff09<\/strong><\/h2>\n<p>result = [math.pow(x, 2) for x in arr]<\/p>\n<p>print(result)  # \u8f93\u51fa: [1.0, 4.0, 9.0, 16.0, 25.0]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u5217\u8868\u89e3\u6790<code>[math.pow(x, 2) for x in arr]<\/code>\u5c06\u6570\u7ec4<code>arr<\/code>\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u7684\u6307\u6570\u63d0\u9ad8\u52302\u3002<\/p>\n<\/p>\n<p><h3>3.3 \u6ce8\u610f\u4e8b\u9879<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528<code>math.pow<\/code>\u51fd\u6570\u65f6\uff0c\u7ed3\u679c\u5c06\u662f\u6d6e\u70b9\u6570\u3002\u5982\u679c\u9700\u8981\u6574\u6570\u7ed3\u679c\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684\u6307\u6570\u64cd\u4f5c\u7b26<code><\/code>\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4f7f\u7528\u5185\u7f6e\u7684\u6307\u6570\u64cd\u4f5c\u7b26<\/p>\n<p>result = [x  2 for x in arr]<\/p>\n<p>print(result)  # \u8f93\u51fa: [1, 4, 9, 16, 25]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u56db\u3001\u5bf9\u6bd4\u4e0d\u540c\u65b9\u6cd5\u7684\u6027\u80fd<\/h2>\n<\/p>\n<p><p>\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u6027\u80fd\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u8003\u8651\u56e0\u7d20\u3002\u4e0b\u9762\u5c06\u5bf9\u6bd4\u4e0d\u540c\u65b9\u6cd5\u7684\u6027\u80fd\u3002<\/p>\n<\/p>\n<p><h3>4.1 NumPy\u7684\u6027\u80fd\u4f18\u52bf<\/h3>\n<\/p>\n<p><p>NumPy\u5e93\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\u8868\u73b0\u51fa\u8272\uff0c\u56e0\u4e3a\u5b83\u4f7f\u7528\u4e86\u5e95\u5c42\u7684C\u8bed\u8a00\u5b9e\u73b0\uff0c\u4f18\u5316\u4e86\u6027\u80fd\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u6027\u80fd\u5bf9\u6bd4\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>import time<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5927\u89c4\u6a21\u6570\u7ec4<\/strong><\/h2>\n<p>arr = np.arange(1, 1000000)<\/p>\n<h2><strong>\u4f7f\u7528NumPy\u7684power\u51fd\u6570<\/strong><\/h2>\n<p>start = time.time()<\/p>\n<p>result = np.power(arr, 2)<\/p>\n<p>end = time.time()<\/p>\n<p>print(f&quot;NumPy power\u51fd\u6570\u8017\u65f6: {end - start}\u79d2&quot;)<\/p>\n<h2><strong>\u4f7f\u7528\u5217\u8868\u89e3\u6790<\/strong><\/h2>\n<p>start = time.time()<\/p>\n<p>result = [x  2 for x in arr]<\/p>\n<p>end = time.time()<\/p>\n<p>print(f&quot;\u5217\u8868\u89e3\u6790\u8017\u65f6: {end - start}\u79d2&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u53ef\u4ee5\u660e\u663e\u770b\u5230NumPy\u7684\u6027\u80fd\u4f18\u52bf\u3002<\/p>\n<\/p>\n<p><h3>4.2 \u5217\u8868\u89e3\u6790\u7684\u7075\u6d3b\u6027<\/h3>\n<\/p>\n<p><p>\u867d\u7136\u5217\u8868\u89e3\u6790\u5728\u6027\u80fd\u4e0a\u4e0d\u5982NumPy\uff0c\u4f46\u5b83\u7684\u7075\u6d3b\u6027\u4f7f\u5176\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u66f4\u5177\u4f18\u52bf\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u6dfb\u52a0\u6761\u4ef6\u5224\u65ad\u548c\u590d\u6742\u7684\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h3>4.3 math\u5e93\u7684pow\u51fd\u6570\u6027\u80fd<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528<code>math.pow<\/code>\u51fd\u6570\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u65f6\uff0c\u6027\u80fd\u901a\u5e38\u4e0d\u5982NumPy\u548c\u5185\u7f6e\u7684\u6307\u6570\u64cd\u4f5c\u7b26<code><\/code>\u3002\u56e0\u6b64\uff0c\u9664\u975e\u6709\u7279\u6b8a\u9700\u6c42\uff0c\u5426\u5219\u5efa\u8bae\u4f18\u5148\u4f7f\u7528NumPy\u6216\u5185\u7f6e\u7684\u6307\u6570\u64cd\u4f5c\u7b26\u3002<\/p>\n<\/p>\n<p><h2>\u4e94\u3001\u603b\u7ed3<\/h2>\n<\/p>\n<p><p>\u5bf9\u4e00\u4e2a\u6570\u7ec4\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u9009\u62e9\u9002\u5408\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\u548c\u6570\u636e\u89c4\u6a21\u3002<strong>\u4f7f\u7528NumPy\u5e93\u3001\u5217\u8868\u89e3\u6790\u3001math\u5e93\u4e2d\u7684pow\u51fd\u6570<\/strong>\u5404\u6709\u4f18\u7f3a\u70b9\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>NumPy\u5e93<\/strong>\uff1a\u9002\u5408\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\uff0c\u6027\u80fd\u4f18\u8d8a\u3002<\/li>\n<li><strong>\u5217\u8868\u89e3\u6790<\/strong>\uff1a\u7075\u6d3b\u6027\u9ad8\uff0c\u9002\u5408\u5c0f\u89c4\u6a21\u6570\u636e\u548c\u590d\u6742\u64cd\u4f5c\u3002<\/li>\n<li><strong>math\u5e93\u7684pow\u51fd\u6570<\/strong>\uff1a\u9002\u5408\u7279\u5b9a\u9700\u6c42\uff0c\u4f46\u6027\u80fd\u4e0d\u5982\u524d\u4e24\u8005\u3002<\/li>\n<\/ul>\n<p><p>\u901a\u8fc7\u672c\u6587\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff0c\u5e0c\u671b\u8bfb\u8005\u80fd\u591f\u638c\u63e1\u4e0d\u540c\u65b9\u6cd5\u7684\u4f7f\u7528\uff0c\u5e76\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u8fd0\u7b97\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u4f7f\u7528NumPy\u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u5bf9\u6570\u7ec4\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86NumPy\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7<code>pip install numpy<\/code>\u6765\u5b89\u88c5\u3002\u4e4b\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528<code>numpy.exp()<\/code>\u51fd\u6570\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u8fd0\u7b97\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u8fd9\u6837\u5199\uff1a  <\/p>\n<pre><code class=\"language-python\">import numpy as np\n\narray = np.array([1, 2, 3])\nresult = np.exp(array)\nprint(result)\n<\/code><\/pre>\n<p>\u8fd9\u5c06\u8f93\u51fa\u6bcf\u4e2a\u5143\u7d20\u7684e\u7684\u6307\u6570\u503c\u3002<\/p>\n<p><strong>\u53ef\u4ee5\u5bf9\u54ea\u4e9b\u7c7b\u578b\u7684\u6570\u7ec4\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\uff1f<\/strong><br \/>\u51e0\u4e4e\u6240\u6709\u7c7b\u578b\u7684NumPy\u6570\u7ec4\u90fd\u53ef\u4ee5\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\uff0c\u5305\u62ec\u4e00\u7ef4\u6570\u7ec4\u3001\u4e8c\u7ef4\u6570\u7ec4\u751a\u81f3\u66f4\u9ad8\u7ef4\u5ea6\u7684\u6570\u7ec4\u3002\u65e0\u8bba\u6570\u7ec4\u5305\u542b\u6574\u6570\u3001\u6d6e\u70b9\u6570\u8fd8\u662f\u590d\u6570\uff0cNumPy\u90fd\u80fd\u5904\u7406\u5b83\u4eec\u7684\u6307\u6570\u8fd0\u7b97\uff0c\u5e76\u8fd4\u56de\u76f8\u5e94\u7684\u7ed3\u679c\u3002\u786e\u4fdd\u8f93\u5165\u6570\u636e\u7684\u7c7b\u578b\u9002\u5408\u6307\u6570\u8fd0\u7b97\uff0c\u4ee5\u907f\u514d\u4efb\u4f55\u53ef\u80fd\u7684\u9519\u8bef\u3002<\/p>\n<p><strong>\u5982\u679c\u6211\u60f3\u4f7f\u7528\u5176\u4ed6\u5e95\u6570\u800c\u975ee\u8fdb\u884c\u6307\u6570\u8fd0\u7b97\uff0c\u5e94\u8be5\u600e\u4e48\u505a\uff1f<\/strong><br \/>\u5982\u679c\u9700\u8981\u4f7f\u7528\u4e0d\u540c\u7684\u5e95\u6570\u8fdb\u884c\u6307\u6570\u8fd0\u7b97\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684<code>**<\/code>\u8fd0\u7b97\u7b26\u3002\u5047\u8bbe\u60a8\u60f3\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8ba1\u7b97\u4ee52\u4e3a\u5e95\u7684\u6307\u6570\uff0c\u53ef\u4ee5\u8fd9\u6837\u5199\uff1a  <\/p>\n<pre><code class=\"language-python\">array = np.array([1, 2, 3])\nresult = 2 ** array\nprint(result)\n<\/code><\/pre>\n<p>\u8fd9\u5c06\u8ba1\u7b972\u7684\u6bcf\u4e2a\u6570\u7ec4\u5143\u7d20\u7684\u5e42\uff0c\u5e76\u8fd4\u56de\u7ed3\u679c\u3002\u5229\u7528\u8fd9\u79cd\u65b9\u5f0f\uff0c\u60a8\u53ef\u4ee5\u7075\u6d3b\u5730\u9009\u62e9\u6240\u9700\u7684\u5e95\u6570\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5bf9\u4e00\u4e2a\u6570\u7ec4\u8fdb\u884c\u6307\u6570\u64cd\u4f5c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff1a\u4f7f\u7528NumPy\u5e93\u3001\u5217\u8868\u89e3\u6790\u3001math\u5e93\u4e2d\u7684pow\u51fd\u6570\u3002\u672c\u6587\u5c06\u8be6 [&hellip;]","protected":false},"author":3,"featured_media":1138064,"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\/1138057"}],"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=1138057"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1138057\/revisions"}],"predecessor-version":[{"id":1138066,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1138057\/revisions\/1138066"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1138064"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1138057"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1138057"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1138057"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}