{"id":1008729,"date":"2024-12-27T11:05:26","date_gmt":"2024-12-27T03:05:26","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1008729.html"},"modified":"2024-12-27T11:05:28","modified_gmt":"2024-12-27T03:05:28","slug":"%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8python%e7%9a%84numpy","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1008729.html","title":{"rendered":"\u5982\u4f55\u4f7f\u7528python\u7684numpy"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25083920\/834a26f1-9c06-4199-bbb9-d7a1c21f12ea.webp\" alt=\"\u5982\u4f55\u4f7f\u7528python\u7684numpy\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528Python\u7684NumPy\u5e93\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a\u5b89\u88c5NumPy\u3001\u5bfc\u5165NumPy\u5e93\u3001\u521b\u5efa\u6570\u7ec4\u3001\u8fdb\u884c\u6570\u7ec4\u64cd\u4f5c\u3001\u6267\u884c\u6570\u5b66\u51fd\u6570\u3002NumPy\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u7ec4\u5bf9\u8c61\u548c\u4e30\u5bcc\u7684\u51fd\u6570\u5e93\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406\u6570\u503c\u6570\u636e\uff0c\u7279\u522b\u9002\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u63a5\u4e0b\u6765\u7684\u5185\u5bb9\u4e2d\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Python\u7684NumPy\u5e93\uff0c\u5e76\u5206\u4eab\u4e00\u4e9b\u5b9e\u7528\u7684\u6280\u5de7\u548c\u7ecf\u9a8c\u3002<\/p>\n<\/p>\n<h2><strong>\u4e00\u3001\u5b89\u88c5NumPy\u548c\u5bfc\u5165\u5e93<\/strong><\/h2>\n<p><p>\u5728\u5f00\u59cb\u4f7f\u7528NumPy\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86\u8fd9\u4e2a\u5e93\u3002NumPy\u53ef\u4ee5\u901a\u8fc7Python\u7684\u5305\u7ba1\u7406\u5de5\u5177pip\u8f7b\u677e\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\u5728Python\u811a\u672c\u6216\u8005\u4ea4\u4e92\u73af\u5883\u4e2d\u5bfc\u5165NumPy\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4f7f\u7528<code>np<\/code>\u4f5c\u4e3aNumPy\u7684\u522b\u540d\u662f\u4e00\u4e2a\u666e\u904d\u7684\u505a\u6cd5\uff0c\u8fd9\u6837\u53ef\u4ee5\u65b9\u4fbf\u5730\u8c03\u7528NumPy\u7684\u5404\u79cd\u51fd\u6570\u548c\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<h2><strong>\u4e8c\u3001\u521b\u5efaNumPy\u6570\u7ec4<\/strong><\/h2>\n<p><p>NumPy\u7684\u6838\u5fc3\u662f\u5176\u5f3a\u5927\u7684N\u7ef4\u6570\u7ec4\u5bf9\u8c61<code>ndarray<\/code>\u3002\u521b\u5efaNumPy\u6570\u7ec4\u7684\u65b9\u5f0f\u591a\u79cd\u591a\u6837\uff0c\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><h3>1. \u4ecePython\u5217\u8868\u521b\u5efa\u6570\u7ec4<\/h3>\n<\/p>\n<p><p>\u53ef\u4ee5\u76f4\u63a5\u4ecePython\u5217\u8868\u6216\u5143\u7ec4\u521b\u5efaNumPy\u6570\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">list_data = [1, 2, 3, 4, 5]<\/p>\n<p>array_data = np.array(list_data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u5f88\u76f4\u89c2\uff0c\u9002\u5408\u7528\u6765\u521d\u59cb\u5316\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><h3>2. \u4f7f\u7528NumPy\u7684\u5185\u7f6e\u51fd\u6570<\/h3>\n<\/p>\n<p><p>NumPy\u63d0\u4f9b\u4e86\u591a\u79cd\u7528\u4e8e\u521b\u5efa\u6570\u7ec4\u7684\u5185\u7f6e\u51fd\u6570\uff0c\u5982<code>zeros<\/code>\u3001<code>ones<\/code>\u3001<code>arange<\/code>\u3001<code>linspace<\/code>\u7b49\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong><code>np.zeros(shape)<\/code><\/strong>\uff1a\u521b\u5efa\u4e00\u4e2a\u6307\u5b9a\u5f62\u72b6\u7684\u5168\u96f6\u6570\u7ec4\u3002<\/li>\n<li><strong><code>np.ones(shape)<\/code><\/strong>\uff1a\u521b\u5efa\u4e00\u4e2a\u6307\u5b9a\u5f62\u72b6\u7684\u5168\u4e00\u6570\u7ec4\u3002<\/li>\n<li><strong><code>np.arange(start, stop, step)<\/code><\/strong>\uff1a\u521b\u5efa\u4e00\u4e2a\u4ece<code>start<\/code>\u5230<code>stop<\/code>\uff0c\u6b65\u957f\u4e3a<code>step<\/code>\u7684\u6570\u7ec4\u3002<\/li>\n<li><strong><code>np.linspace(start, stop, num)<\/code><\/strong>\uff1a\u521b\u5efa\u4e00\u4e2a\u4ece<code>start<\/code>\u5230<code>stop<\/code>\u5747\u5300\u5206\u5e03\u7684<code>num<\/code>\u4e2a\u5143\u7d20\u7684\u6570\u7ec4\u3002<\/li>\n<\/ul>\n<p><p>\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">zeros_array = np.zeros((2, 3))<\/p>\n<p>ones_array = np.ones((2, 3))<\/p>\n<p>range_array = np.arange(0, 10, 2)<\/p>\n<p>linspace_array = np.linspace(0, 1, 5)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e9b\u51fd\u6570\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u65b9\u5f0f\u6765\u521b\u5efa\u5404\u79cd\u5f62\u5f0f\u7684\u6570\u7ec4\uff0c\u6ee1\u8db3\u4e0d\u540c\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n<h2><strong>\u4e09\u3001\u6570\u7ec4\u64cd\u4f5c<\/strong><\/h2>\n<p><p>NumPy\u6570\u7ec4\u652f\u6301\u591a\u79cd\u64cd\u4f5c\uff0c\u5305\u62ec\u7d22\u5f15\u3001\u5207\u7247\u3001\u5f62\u72b6\u53d8\u6362\u7b49\u3002<\/p>\n<\/p>\n<p><h3>1. \u6570\u7ec4\u7d22\u5f15\u548c\u5207\u7247<\/h3>\n<\/p>\n<p><p>NumPy\u6570\u7ec4\u7684\u7d22\u5f15\u548c\u5207\u7247\u65b9\u5f0f\u7c7b\u4f3c\u4e8ePython\u7684\u5217\u8868\uff0c\u4f46\u66f4\u4e3a\u5f3a\u5927\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">array = np.array([1, 2, 3, 4, 5])<\/p>\n<p>print(array[0])  # \u8f93\u51fa\uff1a1<\/p>\n<p>print(array[1:4])  # \u8f93\u51fa\uff1a[2 3 4]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5bf9\u4e8e\u591a\u7ef4\u6570\u7ec4\uff0c\u53ef\u4ee5\u4f7f\u7528\u9017\u53f7\u5206\u9694\u7684\u7d22\u5f15\u8fdb\u884c\u8bbf\u95ee\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">multi_array = np.array([[1, 2, 3], [4, 5, 6]])<\/p>\n<p>print(multi_array[0, 2])  # \u8f93\u51fa\uff1a3<\/p>\n<p>print(multi_array[:, 1])  # \u8f93\u51fa\uff1a[2 5]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2. \u6570\u7ec4\u5f62\u72b6\u53d8\u6362<\/h3>\n<\/p>\n<p><p>NumPy\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u6539\u53d8\u6570\u7ec4\u7684\u5f62\u72b6\uff0c\u4f8b\u5982<code>reshape<\/code>\u3001<code>flatten<\/code>\u7b49\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong><code>reshape(newshape)<\/code><\/strong>\uff1a\u6539\u53d8\u6570\u7ec4\u7684\u5f62\u72b6\uff0c\u4f46\u4e0d\u6539\u53d8\u5176\u6570\u636e\u3002<\/li>\n<li><strong><code>flatten()<\/code><\/strong>\uff1a\u5c06\u591a\u7ef4\u6570\u7ec4\u5c55\u5e73\u6210\u4e00\u7ef4\u3002<\/li>\n<\/ul>\n<p><p>\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">array = np.array([[1, 2, 3], [4, 5, 6]])<\/p>\n<p>reshaped_array = array.reshape((3, 2))<\/p>\n<p>flattened_array = array.flatten()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u8fd9\u4e9b\u64cd\u4f5c\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8c03\u6574\u6570\u7ec4\u7684\u7ed3\u6784\u4ee5\u9002\u5e94\u4e0d\u540c\u7684\u8ba1\u7b97\u9700\u6c42\u3002<\/p>\n<\/p>\n<h2><strong>\u56db\u3001\u6570\u7ec4\u7684\u6570\u5b66\u8fd0\u7b97<\/strong><\/h2>\n<p><p>NumPy\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u5b66\u51fd\u6570\u548c\u64cd\u4f5c\u7b26\uff0c\u7528\u4e8e\u5bf9\u6570\u7ec4\u8fdb\u884c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n<p><h3>1. \u57fa\u672c\u7b97\u672f\u8fd0\u7b97<\/h3>\n<\/p>\n<p><p>NumPy\u7684\u7b97\u672f\u8fd0\u7b97\u7b26\u53ef\u4ee5\u76f4\u63a5\u4f5c\u7528\u4e8e\u6570\u7ec4\uff0c\u652f\u6301\u9010\u5143\u7d20\u8ba1\u7b97\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">a = np.array([1, 2, 3])<\/p>\n<p>b = np.array([4, 5, 6])<\/p>\n<p>print(a + b)  # \u8f93\u51fa\uff1a[5 7 9]<\/p>\n<p>print(a * b)  # \u8f93\u51fa\uff1a[ 4 10 18]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e9b\u64cd\u4f5c\u7684\u6548\u7387\u901a\u5e38\u6bd4\u7eafPython\u7684\u5faa\u73af\u64cd\u4f5c\u8981\u9ad8\u5f97\u591a\u3002<\/p>\n<\/p>\n<p><h3>2. \u5e7f\u64ad\u673a\u5236<\/h3>\n<\/p>\n<p><p>NumPy\u7684\u5e7f\u64ad\u673a\u5236\u4f7f\u4e0d\u540c\u5f62\u72b6\u7684\u6570\u7ec4\u4e4b\u95f4\u7684\u8fd0\u7b97\u6210\u4e3a\u53ef\u80fd\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">a = np.array([1, 2, 3])<\/p>\n<p>b = 2<\/p>\n<p>print(a * b)  # \u8f93\u51fa\uff1a[2 4 6]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6807\u91cf<code>b<\/code>\u88ab\u5e7f\u64ad\u4e3a\u4e0e\u6570\u7ec4<code>a<\/code>\u76f8\u540c\u7684\u5f62\u72b6\uff0c\u7136\u540e\u8fdb\u884c\u9010\u5143\u7d20\u4e58\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>3. \u6570\u5b66\u51fd\u6570<\/h3>\n<\/p>\n<p><p>NumPy\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u6570\u5b66\u51fd\u6570\uff0c\u5982<code>sum<\/code>\u3001<code>mean<\/code>\u3001<code>std<\/code>\u3001<code>sin<\/code>\u3001<code>cos<\/code>\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">array = np.array([1, 2, 3, 4, 5])<\/p>\n<p>print(np.sum(array))  # \u8f93\u51fa\uff1a15<\/p>\n<p>print(np.mean(array))  # \u8f93\u51fa\uff1a3.0<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e9b\u51fd\u6570\u53ef\u4ee5\u76f4\u63a5\u5bf9\u6570\u7ec4\u8fdb\u884c\u5feb\u901f\u8fd0\u7b97\uff0c\u662f\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684\u5e38\u7528\u5de5\u5177\u3002<\/p>\n<\/p>\n<h2><strong>\u4e94\u3001NumPy\u7684\u9ad8\u7ea7\u529f\u80fd<\/strong><\/h2>\n<p><p>NumPy\u4e0d\u4ec5\u4ec5\u662f\u4e00\u4e2a\u6570\u7ec4\u5e93\uff0c\u5b83\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u529f\u80fd\uff0c\u5982\u77e9\u9635\u8fd0\u7b97\u3001\u968f\u673a\u6570\u751f\u6210\u7b49\u3002<\/p>\n<\/p>\n<p><h3>1. \u77e9\u9635\u8fd0\u7b97<\/h3>\n<\/p>\n<p><p>NumPy\u652f\u6301\u77e9\u9635\u8fd0\u7b97\uff0c\u5305\u62ec\u77e9\u9635\u4e58\u6cd5\u3001\u8f6c\u7f6e\u3001\u9006\u77e9\u9635\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">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))  # \u77e9\u9635\u4e58\u6cd5<\/p>\n<p>print(matrix_a.T)  # \u77e9\u9635\u8f6c\u7f6e<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e9b\u529f\u80fd\u5bf9\u4e8e\u9700\u8981\u7ebf\u6027\u4ee3\u6570\u8ba1\u7b97\u7684\u5e94\u7528\u7279\u522b\u6709\u7528\u3002<\/p>\n<\/p>\n<p><h3>2. \u968f\u673a\u6570\u751f\u6210<\/h3>\n<\/p>\n<p><p>NumPy\u7684<code>random<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u591a\u79cd\u968f\u673a\u6570\u751f\u6210\u5668\uff0c\u53ef\u4ee5\u751f\u6210\u5404\u79cd\u5206\u5e03\u7684\u968f\u673a\u6570\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">random_array = np.random.rand(3, 3)  # \u5747\u5300\u5206\u5e03<\/p>\n<p>normal_array = np.random.randn(3, 3)  # \u6b63\u6001\u5206\u5e03<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u6a21\u62df\u3001\u7edf\u8ba1\u5206\u6790\u548c<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u7b49\u9886\u57df\uff0c\u8fd9\u4e9b\u529f\u80fd\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<p><h3>3. \u6761\u4ef6\u7b5b\u9009<\/h3>\n<\/p>\n<p><p>NumPy\u6570\u7ec4\u652f\u6301\u6761\u4ef6\u7b5b\u9009\uff0c\u5141\u8bb8\u6839\u636e\u6761\u4ef6\u63d0\u53d6\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">array = np.array([1, 2, 3, 4, 5])<\/p>\n<p>print(array[array &gt; 3])  # \u8f93\u51fa\uff1a[4 5]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u64cd\u4f5c\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406\u6570\u636e\uff0c\u5e38\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n<h2><strong>\u516d\u3001NumPy\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684\u5e94\u7528<\/strong><\/h2>\n<p><p>NumPy\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u4ece\u57fa\u7840\u7684\u6570\u636e\u5904\u7406\u5230\u590d\u6742\u7684\u6570\u503c\u6a21\u62df\uff0c\u90fd\u80fd\u89c1\u5230\u5b83\u7684\u8eab\u5f71\u3002<\/p>\n<\/p>\n<p><h3>1. \u6570\u636e\u5904\u7406<\/h3>\n<\/p>\n<p><p>NumPy\u53ef\u4ee5\u7528\u6765\u5904\u7406\u548c\u5206\u6790\u5927\u89c4\u6a21\u7684\u6570\u636e\u96c6\u3002\u901a\u8fc7\u5176\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u548c\u6570\u5b66\u51fd\u6570\uff0c\u53ef\u4ee5\u5feb\u901f\u8fdb\u884c\u6570\u636e\u6e05\u7406\u3001\u8f6c\u6362\u548c\u805a\u5408\u3002<\/p>\n<\/p>\n<p><h3>2. \u6570\u503c\u6a21\u62df<\/h3>\n<\/p>\n<p><p>\u8bb8\u591a\u6570\u503c\u6a21\u62df\u95ee\u9898\u90fd\u53ef\u4ee5\u901a\u8fc7NumPy\u6765\u89e3\u51b3\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u5927\u578b\u77e9\u9635\u548c\u5411\u91cf\u8ba1\u7b97\u65f6\u3002\u5176\u9ad8\u6548\u7684\u77e9\u9635\u8fd0\u7b97\u529f\u80fd\u662f\u6570\u503c\u6a21\u62df\u7684\u5229\u5668\u3002<\/p>\n<\/p>\n<p><h3>3. \u673a\u5668\u5b66\u4e60<\/h3>\n<\/p>\n<p><p>NumPy\u662f\u8bb8\u591a\u673a\u5668\u5b66\u4e60\u5e93\uff08\u5982TensorFlow\u3001PyTorch\uff09\u5e95\u5c42\u5b9e\u73b0\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002\u5229\u7528NumPy\uff0c\u53ef\u4ee5\u5b9e\u73b0\u57fa\u7840\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u6a21\u578b\u3002<\/p>\n<\/p>\n<h2><strong>\u4e03\u3001\u4f18\u5316NumPy\u4ee3\u7801\u7684\u6280\u5de7<\/strong><\/h2>\n<p><p>\u5728\u5b9e\u9645\u4f7f\u7528\u4e2d\uff0c\u4f18\u5316NumPy\u4ee3\u7801\u53ef\u4ee5\u663e\u8457\u63d0\u5347\u7a0b\u5e8f\u7684\u6027\u80fd\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u4f18\u5316\u6280\u5de7\uff1a<\/p>\n<\/p>\n<p><h3>1. \u4f7f\u7528NumPy\u7684\u5185\u7f6e\u51fd\u6570<\/h3>\n<\/p>\n<p><p>\u5c3d\u91cf\u4f7f\u7528NumPy\u7684\u5185\u7f6e\u51fd\u6570\u800c\u4e0d\u662fPython\u7684\u5faa\u73af\u3002\u8fd9\u4e9b\u51fd\u6570\u901a\u5e38\u662f\u7528C\u8bed\u8a00\u5b9e\u73b0\u7684\uff0c\u6548\u7387\u66f4\u9ad8\u3002<\/p>\n<\/p>\n<p><h3>2. \u907f\u514d\u4e0d\u5fc5\u8981\u7684\u6570\u7ec4\u590d\u5236<\/h3>\n<\/p>\n<p><p>NumPy\u64cd\u4f5c\u901a\u5e38\u8fd4\u56de\u65b0\u6570\u7ec4\uff0c\u907f\u514d\u4e0d\u5fc5\u8981\u7684\u6570\u7ec4\u590d\u5236\u53ef\u4ee5\u8282\u7701\u5185\u5b58\u548c\u65f6\u95f4\u3002<\/p>\n<\/p>\n<p><h3>3. \u5229\u7528\u5e7f\u64ad\u673a\u5236<\/h3>\n<\/p>\n<p><p>\u5e7f\u64ad\u673a\u5236\u53ef\u4ee5\u907f\u514d\u663e\u5f0f\u5730\u521b\u5efa\u5927\u6570\u7ec4\uff0c\u5728\u8fdb\u884c\u9010\u5143\u7d20\u8fd0\u7b97\u65f6\u5c24\u5176\u6709\u7528\u3002<\/p>\n<\/p>\n<p><h3>4. \u4f7f\u7528\u5408\u9002\u7684\u6570\u636e\u7c7b\u578b<\/h3>\n<\/p>\n<p><p>NumPy\u6570\u7ec4\u7684\u5143\u7d20\u7c7b\u578b\u53ef\u4ee5\u5f71\u54cd\u5185\u5b58\u4f7f\u7528\u548c\u8ba1\u7b97\u901f\u5ea6\u3002\u6839\u636e\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7c7b\u578b\uff0c\u4f8b\u5982\u6d6e\u70b9\u6570\u6216\u6574\u6570\u3002<\/p>\n<\/p>\n<h2><strong>\u516b\u3001\u603b\u7ed3<\/strong><\/h2>\n<p><p>NumPy\u662fPython\u79d1\u5b66\u8ba1\u7b97\u751f\u6001\u7cfb\u7edf\u4e2d\u7684\u4e00\u4e2a\u6838\u5fc3\u5e93\uff0c\u5176\u5f3a\u5927\u7684\u6570\u7ec4\u5bf9\u8c61\u548c\u4e30\u5bcc\u7684\u51fd\u6570\u5e93\u4f7f\u5176\u5728\u6570\u636e\u5904\u7406\u3001\u79d1\u5b66\u8ba1\u7b97\u548c\u673a\u5668\u5b66\u4e60\u7b49\u9886\u57df\u5f97\u5230\u4e86\u5e7f\u6cdb\u5e94\u7528\u3002\u901a\u8fc7\u638c\u63e1NumPy\u7684\u57fa\u672c\u64cd\u4f5c\u548c\u9ad8\u7ea7\u529f\u80fd\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u6570\u636e\u5904\u7406\u548c\u8ba1\u7b97\u7684\u6548\u7387\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6839\u636e\u5177\u4f53\u9700\u6c42\u7075\u6d3b\u8fd0\u7528NumPy\u7684\u5404\u79cd\u529f\u80fd\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u89e3\u51b3\u590d\u6742\u7684\u8ba1\u7b97\u95ee\u9898\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5b89\u88c5NumPy\u5e93\u4ee5\u4fbf\u5728Python\u4e2d\u4f7f\u7528\uff1f<\/strong><br \/>\u8981\u4f7f\u7528NumPy\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5b83\u5df2\u5b89\u88c5\u5728\u60a8\u7684Python\u73af\u5883\u4e2d\u3002\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4\u884c\u4f7f\u7528\u4ee5\u4e0b\u6307\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<code>pip install numpy<\/code>\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u53ef\u4ee5\u5728Python\u811a\u672c\u6216\u4ea4\u4e92\u5f0f\u73af\u5883\u4e2d\u901a\u8fc7<code>import numpy as np<\/code>\u5bfc\u5165NumPy\u5e93\uff0c\u4ece\u800c\u5f00\u59cb\u4f7f\u7528\u5176\u529f\u80fd\u3002<\/p>\n<p><strong>NumPy\u7684\u4e3b\u8981\u529f\u80fd\u548c\u5e94\u7528\u573a\u666f\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>NumPy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u5e93\uff0c\u4e3b\u8981\u7528\u4e8e\u5904\u7406\u5927\u578b\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u5b66\u51fd\u6570\u5e93\uff0c\u9002\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u3001\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u7b49\u9886\u57df\u3002\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\u5305\u62ec\u7ebf\u6027\u4ee3\u6570\u3001\u7edf\u8ba1\u5206\u6790\u3001\u6570\u636e\u9884\u5904\u7406\u7b49\u3002<\/p>\n<p><strong>\u5982\u4f55\u4f7f\u7528NumPy\u521b\u5efa\u548c\u64cd\u4f5c\u6570\u7ec4\uff1f<\/strong><br \/>\u521b\u5efaNumPy\u6570\u7ec4\u53ef\u4ee5\u901a\u8fc7<code>np.array()<\/code>\u51fd\u6570\u5b9e\u73b0\u3002\u60a8\u53ef\u4ee5\u5c06\u5217\u8868\u6216\u5143\u7ec4\u4f5c\u4e3a\u53c2\u6570\u4f20\u5165\uff0cNumPy\u4f1a\u81ea\u52a8\u5c06\u5176\u8f6c\u6362\u4e3a\u6570\u7ec4\u3002\u4f8b\u5982\uff0c<code>np.array([1, 2, 3])<\/code>\u4f1a\u521b\u5efa\u4e00\u4e2a\u4e00\u7ef4\u6570\u7ec4\u3002\u5bf9\u6570\u7ec4\u7684\u64cd\u4f5c\u975e\u5e38\u7075\u6d3b\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u5207\u7247\u3001\u7d22\u5f15\u4ee5\u53ca\u5404\u79cd\u51fd\u6570\u8fdb\u884c\u6570\u7ec4\u7684\u4fee\u6539\u3001\u62fc\u63a5\u548c\u6570\u5b66\u8fd0\u7b97\uff0c\u8fdb\u4e00\u6b65\u63d0\u5347\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u7684NumPy\u5e93\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a\u5b89\u88c5NumPy\u3001\u5bfc\u5165NumPy\u5e93\u3001\u521b\u5efa\u6570\u7ec4\u3001\u8fdb\u884c\u6570\u7ec4\u64cd\u4f5c\u3001 [&hellip;]","protected":false},"author":3,"featured_media":1008734,"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\/1008729"}],"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=1008729"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1008729\/revisions"}],"predecessor-version":[{"id":1008739,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1008729\/revisions\/1008739"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1008734"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1008729"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1008729"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1008729"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}