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\"\"<\/figure>\n<\/div>\n\n\n

NumPy<\/h2>\n\n\n\n

Python\u79d1\u5b66\u8ba1\u7b97\u5fc5\u5907\u7684\u5305<\/p>\n\n\n\n

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\u8bbf\u95ee\u5b98\u7f51 ><\/a><\/div>\n<\/div>\n\n\n\n
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\"\"<\/figure>\n\n\n\n
<\/div>\n\n\n\n

NumPy\u662f\u4ec0\u4e48<\/h2>\n\n\n\n

NumPy \u662f Python \u4e2d\u7528\u5728\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\uff0c\u63d0\u4f9b\u4e00\u4e2a\u5f3a\u5927\u7684 N \u7ef4\u6570\u7ec4\u5bf9\u8c61\uff0c\u53ca\u7528\u5728\u64cd\u4f5c\u6570\u7ec4\u7684\u5de5\u5177\u3002\u901a\u8fc7 NumPy\uff0c\u80fd\u9ad8\u6548\u5730\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u503c\u8ba1\u7b97\uff0c\u652f\u6301\u6570\u7ec4\u7684\u5e7f\u64ad\u673a\u5236\u3001\u7ebf\u6027\u4ee3\u6570\u8fd0\u7b97\u3001\u5085\u91cc\u53f6\u53d8\u6362\u7b49\u3002NumPy \u63d0\u4f9b\u968f\u673a\u6570\u751f\u6210\u7b49\u529f\u80fd\u3002NumPy \u7684\u6570\u7ec4\u6bd4 Python \u539f\u751f\u5217\u8868\u66f4\u5feb\u3001\u66f4\u8282\u7701\u5185\u5b58\uff0c\u5e7f\u6cdb\u5e94\u7528\u5728\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60\u3001\u56fe\u50cf\u5904\u7406\u7b49\u9886\u57df\uff0c\u662f\u8bb8\u591a\u9ad8\u7ea7\u79d1\u5b66\u8ba1\u7b97\u5e93\uff08\u5982 Pandas\u3001SciPy\u3001Matplotlib \u7b49\uff09\u7684\u57fa\u7840\u3002<\/p>\n\n\n\n

\"NumPy\"<\/a><\/figure>\n\n\n\n

NumPy\u7684\u4e3b\u8981\u529f\u80fd<\/h2>\n\n\n\n
    \n
  • \u5f3a\u5927\u7684 N \u7ef4\u6570\u7ec4\u5bf9\u8c61<\/strong>\uff1a\u63d0\u4f9b\u9ad8\u6548\u5b58\u50a8\u548c\u64cd\u4f5c\u5927\u89c4\u6a21\u6570\u636e\u7684\u6570\u7ec4\u7ed3\u6784\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u7c7b\u578b\u3002<\/li>\n\n\n\n
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  • \u7ebf\u6027\u4ee3\u6570\u8fd0\u7b97<\/strong>\uff1a\u652f\u6301\u77e9\u9635\u4e58\u6cd5\u3001\u6c42\u9006\u3001\u7279\u5f81\u503c\u5206\u89e3\u7b49\u64cd\u4f5c\u3002<\/li>\n\n\n\n
  • \u968f\u673a\u6570\u751f\u6210<\/strong>\uff1a\u63d0\u4f9b\u591a\u79cd\u968f\u673a\u6570\u751f\u6210\u5668\uff0c\u7528\u4e8e\u6a21\u62df\u548c\u7edf\u8ba1\u5206\u6790\u3002<\/li>\n\n\n\n
  • \u6570\u636e\u7c7b\u578b\u652f\u6301<\/strong>\uff1a\u652f\u6301\u591a\u79cd\u6570\u636e\u7c7b\u578b\uff08\u5982\u6574\u578b\u3001\u6d6e\u70b9\u578b\u3001\u590d\u6570\u578b\u7b49\uff09\uff0c\u5e76\u53ef\u81ea\u5b9a\u4e49\u6570\u636e\u7c7b\u578b\u3002<\/li>\n\n\n\n
  • \u96c6\u6210 C\/C++ \u548c Fortran \u4ee3\u7801<\/strong>\uff1a\u652f\u6301\u4e0e\u5e95\u5c42\u8bed\u8a00\u4ee3\u7801\u7684\u4ea4\u4e92\uff0c\u63d0\u5347\u6027\u80fd\u3002<\/li>\n\n\n\n
  • \u5de5\u5177\u548c\u6a21\u5757<\/strong>\uff1a\u63d0\u4f9b\u7528\u4e8e\u8bfb\u5199\u6587\u4ef6\u3001\u6570\u636e\u6392\u5e8f\u3001\u7edf\u8ba1\u5206\u6790\u7b49\u5de5\u5177\u3002<\/li>\n<\/ul>\n\n\n\n

    \u5982\u4f55\u4f7f\u7528NumPy<\/h2>\n\n\n\n
      \n
    • \u5b89\u88c5 NumPy<\/strong>\uff1a\u7528 pip \u547d\u4ee4\u5b89\u88c5 NumPy\uff0c\u8fd9\u662f Python \u7684\u4e00\u4e2a\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u7528\u5728\u9ad8\u6548\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002<\/li>\n\n\n\n
    • \u5bfc\u5165 NumPy<\/strong>\uff1a\u5728 Python \u811a\u672c\u6216\u4ea4\u4e92\u5f0f\u73af\u5883\u4e2d\uff0c\u901a\u8fc7\u00a0import numpy as np<\/code>\u00a0\u5bfc\u5165 NumPy\uff0c\u901a\u5e38\u4f7f\u7528\u00a0np<\/code>\u00a0\u4f5c\u4e3a\u522b\u540d\u3002<\/li>\n\n\n\n
    • \u521b\u5efa\u6570\u7ec4<\/strong>\uff1a\n
        \n
      • \u4e00\u7ef4\u6570\u7ec4<\/strong>\uff1a\u5c06 Python \u5217\u8868\u8f6c\u6362\u4e3a NumPy \u6570\u7ec4\u3002<\/li>\n\n\n\n
      • \u591a\u7ef4\u6570\u7ec4<\/strong>\uff1a\u901a\u8fc7\u5d4c\u5957\u5217\u8868\u521b\u5efa\u591a\u7ef4\u6570\u7ec4\u3002<\/li>\n\n\n\n
      • \u7279\u6b8a\u6570\u7ec4<\/strong>\uff1a\u4f7f\u7528\u51fd\u6570\u521b\u5efa\u5168\u96f6\u6570\u7ec4\u3001\u5168\u4e00\u6570\u7ec4\u3001\u968f\u673a\u6570\u7ec4\u7b49\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
      • \u6570\u7ec4\u64cd\u4f5c<\/strong>\uff1a\n
          \n
        • \u7d22\u5f15\u548c\u5207\u7247<\/strong>\uff1a\u50cf\u64cd\u4f5c Python \u5217\u8868\u4e00\u6837\u5bf9\u6570\u7ec4\u8fdb\u884c\u7d22\u5f15\u548c\u5207\u7247\uff0c\u4f46 NumPy \u652f\u6301\u591a\u7ef4\u7d22\u5f15\u3002<\/li>\n\n\n\n
        • \u91cd\u5851\u6570\u7ec4<\/strong>\uff1a\u5c06\u6570\u7ec4\u91cd\u65b0\u8c03\u6574\u4e3a\u4e0d\u540c\u7684\u5f62\u72b6\u3002<\/li>\n\n\n\n
        • \u6570\u5b66\u8fd0\u7b97<\/strong>\uff1a\u652f\u6301\u52a0\u6cd5\u3001\u51cf\u6cd5\u3001\u4e58\u6cd5\u3001\u9664\u6cd5\u7b49\u8fd0\u7b97\uff0c\u8fdb\u884c\u77e9\u9635\u4e58\u6cd5\u7b49\u590d\u6742\u64cd\u4f5c\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
        • \u5e7f\u64ad\u673a\u5236<\/strong>\uff1a\u652f\u6301\u4e0d\u540c\u5f62\u72b6\u7684\u6570\u7ec4\u8fdb\u884c\u8fd0\u7b97\uff0c\u8f83\u5c0f\u7684\u6570\u7ec4\u81ea\u52a8\u201c\u5e7f\u64ad\u201d\u5339\u914d\u8f83\u5927\u6570\u7ec4\u7684\u5f62\u72b6\uff0c\u7b80\u5316\u4ee3\u7801\u3002<\/li>\n\n\n\n
        • \u7ebf\u6027\u4ee3\u6570\u8fd0\u7b97<\/strong>\uff1a\u63d0\u4f9b\u4e30\u5bcc\u7684\u7ebf\u6027\u4ee3\u6570\u529f\u80fd\uff0c\u5982\u77e9\u9635\u7684\u9006\u3001\u7279\u5f81\u503c\u5206\u89e3\u3001\u77e9\u9635\u4e58\u6cd5\u7b49\u3002<\/li>\n\n\n\n
        • \u968f\u673a\u6570\u751f\u6210<\/strong>\uff1a\u63d0\u4f9b\u591a\u79cd\u968f\u673a\u6570\u751f\u6210\u5668\uff0c\u80fd\u751f\u6210\u968f\u673a\u6574\u6570\u3001\u968f\u673a\u6d6e\u70b9\u6570\u7b49\uff0c\u9002\u7528\u6a21\u62df\u548c\u7edf\u8ba1\u5206\u6790\u3002<\/li>\n\n\n\n
        • \u6570\u636e\u7c7b\u578b<\/strong>\uff1aNumPy \u652f\u6301\u591a\u79cd\u6570\u636e\u7c7b\u578b\uff08\u5982\u6574\u578b\u3001\u6d6e\u70b9\u578b\u3001\u590d\u6570\u578b\u7b49\uff09\uff0c\u4e14\u80fd\u6307\u5b9a\u6570\u7ec4\u7684\u6570\u636e\u7c7b\u578b\u3002<\/li>\n\n\n\n
        • \u6587\u4ef6\u64cd\u4f5c<\/strong>\uff1aNumPy \u80fd\u5c06\u6570\u7ec4\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u6216\u4ece\u6587\u4ef6\u4e2d\u52a0\u8f7d\u6570\u7ec4\uff0c\u65b9\u4fbf\u6570\u636e\u5b58\u50a8\u548c\u8bfb\u53d6\u3002<\/li>\n<\/ul>\n\n\n\n

          NumPy\u7684\u5e94\u7528\u573a\u666f<\/h2>\n\n\n\n
            \n
          • \u6570\u636e\u5206\u6790<\/strong>\uff1aNumPy \u63d0\u4f9b\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u548c\u6570\u5b66\u8ba1\u7b97\u529f\u80fd\uff0c\u80fd\u5feb\u901f\u5904\u7406\u548c\u5206\u6790\u5927\u89c4\u6a21\u6570\u636e\u96c6\u3002<\/li>\n\n\n\n
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          • \u7edf\u8ba1\u5206\u6790<\/strong>\uff1a\u63d0\u4f9b\u4e30\u5bcc\u7684\u7edf\u8ba1\u51fd\u6570\uff0c\u7528\u5728\u6570\u636e\u7684\u63cf\u8ff0\u6027\u7edf\u8ba1\u3001\u6982\u7387\u5206\u5e03\u8ba1\u7b97\u7b49\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

            NumPy Python\u79d1\u5b66\u8ba1\u7b97\u5fc5\u5907\u7684\u5305 NumPy\u662f\u4ec0\u4e48 NumPy \u662f Python \u4e2d\u7528\u5728\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2559","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages\/2559","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/comments?post=2559"}],"version-history":[{"count":0,"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages\/2559\/revisions"}],"wp:attachment":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/media?parent=2559"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}