{"id":988603,"date":"2024-12-27T08:03:45","date_gmt":"2024-12-27T00:03:45","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/988603.html"},"modified":"2024-12-27T08:03:51","modified_gmt":"2024-12-27T00:03:51","slug":"%e5%a6%82%e4%bd%95%e8%ae%bf%e9%97%aepython%e6%95%b0%e7%bb%84%e8%a1%8c%e5%88%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/988603.html","title":{"rendered":"\u5982\u4f55\u8bbf\u95eepython\u6570\u7ec4\u884c\u5217"},"content":{"rendered":"

\"\u5982\u4f55\u8bbf\u95eepython\u6570\u7ec4\u884c\u5217\"<\/p>\n

\u8bbf\u95eePython\u6570\u7ec4\u7684\u884c\u5217\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u51e0\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff1a\u4f7f\u7528\u7d22\u5f15\u8bbf\u95ee\u7279\u5b9a\u884c\u5217\u3001\u5229\u7528\u5207\u7247\u83b7\u53d6\u5b50\u6570\u7ec4\u3001\u5e94\u7528NumPy\u5e93\u63d0\u4f9b\u7684\u9ad8\u7ea7\u529f\u80fd<\/strong>\u3002\u5176\u4e2d\uff0cNumPy\u5e93\u662f\u5904\u7406\u591a\u7ef4\u6570\u7ec4\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528NumPy\u6765\u64cd\u4f5c\u6570\u7ec4\u7684\u884c\u548c\u5217\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u7d22\u5f15\u8bbf\u95ee\u884c\u548c\u5217<\/p>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u6570\u7ec4\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u6765\u8bbf\u95ee\u7279\u5b9a\u7684\u884c\u548c\u5217\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\uff1a<\/p>\n<\/p>\n

array = [<\/p>\n
    [1, 2, 3],<\/p>\n
    [4, 5, 6],<\/p>\n
    [7, 8, 9]<\/p>\n
]<\/p>\n
<\/code><\/pre>\n<\/p>\n
    \n
  1. \u8bbf\u95ee\u7279\u5b9a\u884c<\/li>\n<\/ol>\n
    \u8981\u8bbf\u95ee\u7279\u5b9a\u7684\u884c\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u884c\u7d22\u5f15\u3002\u4f8b\u5982\uff0c\u8bbf\u95ee\u7b2c\u4e8c\u884c\uff1a<\/p>\n<\/p>\n
    second_row = array[1]  # \u8f93\u51fa\u4e3a [4, 5, 6]<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u662f\u56e0\u4e3aPython\u7684\u7d22\u5f15\u662f\u4ece0\u5f00\u59cb\u7684\uff0c\u6240\u4ee5\u7b2c\u4e8c\u884c\u7684\u7d22\u5f15\u662f1\u3002<\/strong><\/p>\n<\/p>\n
      \n
    1. \u8bbf\u95ee\u7279\u5b9a\u5217<\/li>\n<\/ol>\n
      \u8bbf\u95ee\u7279\u5b9a\u5217\u7a0d\u5fae\u590d\u6742\u4e00\u70b9\uff0c\u56e0\u4e3a\u6211\u4eec\u9700\u8981\u904d\u5386\u6bcf\u4e00\u884c\uff0c\u63d0\u53d6\u51fa\u76f8\u5e94\u7684\u5217\u5143\u7d20\u3002\u4f8b\u5982\uff0c\u8bbf\u95ee\u7b2c\u4e8c\u5217\uff1a<\/p>\n<\/p>\n
      second_column = [row[1] for row in array]  # \u8f93\u51fa\u4e3a [2, 5, 8]<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u901a\u8fc7\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u7b80\u6d01\u5730\u5b9e\u73b0\u5bf9\u5217\u7684\u8bbf\u95ee\u3002<\/strong><\/p>\n<\/p>\n
      \u4e8c\u3001\u5229\u7528\u5207\u7247\u83b7\u53d6\u5b50\u6570\u7ec4<\/p>\n<\/p>\n
      Python\u7684\u5217\u8868\u5207\u7247\u529f\u80fd\u53ef\u4ee5\u7528\u4e8e\u83b7\u53d6\u6570\u7ec4\u7684\u5b50\u6570\u7ec4\uff1a<\/p>\n<\/p>\n
        \n
      1. \u83b7\u53d6\u884c\u7684\u5207\u7247<\/li>\n<\/ol>\n
        \u5047\u8bbe\u6211\u4eec\u8981\u83b7\u53d6\u524d\u4e24\u884c\uff1a<\/p>\n<\/p>\n
        first_two_rows = array[:2]  # \u8f93\u51fa\u4e3a [[1, 2, 3], [4, 5, 6]]<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5207\u7247[:2]<\/code>\u8868\u793a\u4ece\u7b2c\u4e00\u884c\u5f00\u59cb\uff0c\u83b7\u53d6\u4e24\u884c\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n
          \n
        1. \u83b7\u53d6\u5217\u7684\u5207\u7247<\/li>\n<\/ol>\n
          \u8981\u83b7\u53d6\u67d0\u4e2a\u8303\u56f4\u5185\u7684\u5217\uff0c\u53ef\u4ee5\u5148\u5229\u7528\u7d22\u5f15\u8bbf\u95ee\uff0c\u7136\u540e\u518d\u5207\u7247\u3002\u4f8b\u5982\uff0c\u83b7\u53d6\u7b2c\u4e00\u548c\u7b2c\u4e8c\u5217\uff1a<\/p>\n<\/p>\n
          first_two_columns = [row[:2] for row in array]  # \u8f93\u51fa\u4e3a [[1, 2], [4, 5], [7, 8]]<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u79cd\u65b9\u5f0f\u540c\u6837\u662f\u901a\u8fc7\u5217\u8868\u63a8\u5bfc\u5f0f\u6765\u5b9e\u73b0\u7684\u3002<\/strong><\/p>\n<\/p>\n
          \u4e09\u3001\u4f7f\u7528NumPy\u5e93<\/p>\n<\/p>\n
          NumPy\u662fPython\u4e2d\u5904\u7406\u6570\u7ec4\u7684\u6807\u51c6\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u9ad8\u6548\u7684\u65b9\u6cd5\u6765\u8bbf\u95ee\u548c\u64cd\u4f5c\u6570\u7ec4\u7684\u884c\u548c\u5217\u3002<\/p>\n<\/p>\n
            \n
          1. \u521b\u5efaNumPy\u6570\u7ec4<\/li>\n<\/ol>\n
            \u9996\u5148\uff0c\u5bfc\u5165NumPy\u5e76\u521b\u5efa\u4e00\u4e2a\u6570\u7ec4\uff1a<\/p>\n<\/p>\n
            import numpy as np<\/p>\n
            array = np.array([<\/p>\n
                [1, 2, 3],<\/p>\n
                [4, 5, 6],<\/p>\n
                [7, 8, 9]<\/p>\n
            ])<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u8bbf\u95ee\u884c<\/li>\n<\/ol>\n
              \u5728NumPy\u4e2d\uff0c\u8bbf\u95ee\u67d0\u4e00\u884c\u975e\u5e38\u7b80\u5355\uff1a<\/p>\n<\/p>\n
              second_row = array[1, :]  # \u8f93\u51fa\u4e3a [4, 5, 6]<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u8fd9\u91cc\u7684:<\/code>\u8868\u793a\u53d6\u51fa\u8be5\u884c\u7684\u6240\u6709\u5217\u3002<\/strong><\/p>\n<\/p>\n
                \n
              1. \u8bbf\u95ee\u5217<\/li>\n<\/ol>\n
                \u7c7b\u4f3c\u5730\uff0c\u8bbf\u95ee\u67d0\u4e00\u5217\u4e5f\u5f88\u76f4\u89c2\uff1a<\/p>\n<\/p>\n
                second_column = array[:, 1]  # \u8f93\u51fa\u4e3a [2, 5, 8]<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                :<\/code>\u5728\u884c\u7684\u4f4d\u7f6e\u4e0a\uff0c\u8868\u793a\u4ece\u6240\u6709\u884c\u4e2d\u63d0\u53d6\u7b2c\u4e8c\u5217\u3002<\/strong><\/p>\n<\/p>\n
                \u56db\u3001NumPy\u7684\u9ad8\u7ea7\u529f\u80fd<\/p>\n<\/p>\n
                NumPy\u4e0d\u4ec5\u4ec5\u652f\u6301\u57fa\u7840\u7684\u884c\u5217\u8bbf\u95ee\uff0c\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u9ad8\u7ea7\u529f\u80fd\uff1a<\/p>\n<\/p>\n
                  \n
                1. \u5e03\u5c14\u7d22\u5f15<\/li>\n<\/ol>\n
                  \u5e03\u5c14\u7d22\u5f15\u5141\u8bb8\u6839\u636e\u6761\u4ef6\u7b5b\u9009\u5143\u7d20\u3002\u4f8b\u5982\uff0c\u9009\u62e9\u5927\u4e8e5\u7684\u5143\u7d20\uff1a<\/p>\n<\/p>\n
                  greater_than_five = array[array > 5]  # \u8f93\u51fa\u4e3a [6, 7, 8, 9]<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u9ad8\u6548\uff0c\u9002\u7528\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u3002<\/strong><\/p>\n<\/p>\n
                    \n
                  1. \u4f7f\u7528\u6761\u4ef6\u9009\u62e9\u884c\u6216\u5217<\/li>\n<\/ol>\n
                    \u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5e03\u5c14\u6570\u7ec4\u9009\u62e9\u7279\u5b9a\u7684\u884c\u6216\u5217\u3002\u4f8b\u5982\uff0c\u9009\u62e9\u7b2c\u4e8c\u5217\u4e2d\u5927\u4e8e5\u7684\u5143\u7d20\u6240\u5728\u7684\u884c\uff1a<\/p>\n<\/p>\n
                    rows_with_large_elements = array[array[:, 1] > 5]<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                      \n
                    1. \u5207\u7247\u4e0e\u6b65\u957f<\/li>\n<\/ol>\n
                      NumPy\u652f\u6301\u5bf9\u6570\u7ec4\u8fdb\u884c\u5207\u7247\u5e76\u6307\u5b9a\u6b65\u957f\u3002\u4f8b\u5982\uff0c\u83b7\u53d6\u6bcf\u9694\u4e00\u884c\u7684\u5143\u7d20\uff1a<\/p>\n<\/p>\n
                      alternate_rows = array[::2]  # \u8f93\u51fa\u4e3a [[1, 2, 3], [7, 8, 9]]<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                      \u6b65\u957f\u4e3a2\u8868\u793a\u6bcf\u9694\u4e00\u884c\u53d6\u4e00\u6b21\u3002<\/strong><\/p>\n<\/p>\n
                      \u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
                      \u5728Python\u4e2d\uff0c\u8bbf\u95ee\u6570\u7ec4\u7684\u884c\u548c\u5217\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u3001\u5207\u7247\u4ee5\u53caNumPy\u5e93\u5b9e\u73b0\u3002\u7d22\u5f15\u548c\u5207\u7247\u662f\u57fa\u672c\u65b9\u6cd5\uff0c\u9002\u5408\u4e8e\u7b80\u5355\u7684\u4e8c\u7ef4\u5217\u8868\u64cd\u4f5c\uff0c\u800cNumPy\u63d0\u4f9b\u4e86\u66f4\u4e3a\u5f3a\u5927\u7684\u529f\u80fd\uff0c\u9002\u5408\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u4efb\u52a1<\/strong>\u3002\u901a\u8fc7NumPy\uff0c\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u5bf9\u591a\u7ef4\u6570\u7ec4\u7684\u64cd\u4f5c\uff0c\u5982\u5e03\u5c14\u7d22\u5f15\u3001\u6761\u4ef6\u9009\u62e9\u4ee5\u53ca\u5207\u7247\u6b65\u957f\u7b49\u9ad8\u7ea7\u529f\u80fd\uff0c\u4e3a\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60<\/a>\u7b49\u9886\u57df\u63d0\u4f9b\u4e86\u6781\u5927\u7684\u4fbf\u5229\u3002<\/p>\n<\/p>\n
                      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                       \u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u548c\u8bbf\u95ee\u6570\u7ec4\uff1f<\/strong>
                      \u5728Python\u4e2d\uff0c\u6570\u7ec4\u901a\u5e38\u4f7f\u7528NumPy\u5e93\u521b\u5efa\u3002\u53ef\u4ee5\u901a\u8fc7\u5bfc\u5165NumPy\u5e76\u4f7f\u7528numpy.array()<\/code>\u51fd\u6570\u6765\u521b\u5efa\u6570\u7ec4\u3002\u4f8b\u5982\uff1a  <\/p>\n
                      import numpy as np\narray = np.array([[1, 2, 3], [4, 5, 6]])\n<\/code><\/pre>\n
                      \u8bbf\u95ee\u6570\u7ec4\u5143\u7d20\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u6570\u7ec4\u7d22\u5f15\uff0c\u4f8b\u5982array[0, 1]<\/code>\u5c06\u8fd4\u56de\u7b2c1\u884c\u7b2c2\u5217\u7684\u5143\u7d20\uff0c\u53732\u3002<\/p>\n
                      \u6570\u7ec4\u884c\u5217\u7684\u7d22\u5f15\u4ece\u54ea\u91cc\u5f00\u59cb\uff1f<\/strong>
                      Python\u4e2d\u7684\u6570\u7ec4\u7d22\u5f15\u662f\u4ece0\u5f00\u59cb\u7684\uff0c\u8fd9\u610f\u5473\u7740\u7b2c\u4e00\u884c\u548c\u7b2c\u4e00\u5217\u7684\u7d22\u5f15\u662f0\u3002\u82e5\u8981\u8bbf\u95ee\u7b2c\u4e8c\u884c\u548c\u7b2c\u4e09\u5217\u7684\u5143\u7d20\uff0c\u53ef\u4ee5\u4f7f\u7528array[1, 2]<\/code>\uff0c\u8fd4\u56de\u7684\u7ed3\u679c\u662f6\u3002<\/p>\n
                      \u5982\u4f55\u5728Python\u4e2d\u4fee\u6539\u6570\u7ec4\u4e2d\u7684\u7279\u5b9a\u5143\u7d20\uff1f<\/strong>
                      \u8981\u4fee\u6539\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\uff0c\u53ef\u4ee5\u76f4\u63a5\u901a\u8fc7\u7d22\u5f15\u8fdb\u884c\u8d4b\u503c\u3002\u4f8b\u5982\uff0c\u82e5\u8981\u5c06\u7b2c\u4e00\u884c\u7b2c\u4e8c\u5217\u7684\u5143\u7d20\u66f4\u6539\u4e3a10\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a  <\/p>\n
                      array[0, 1] = 10\n<\/code><\/pre>\n
                      \u8fd9\u6837\uff0c\u6570\u7ec4\u7684\u7b2c\u4e00\u884c\u7b2c\u4e8c\u5217\u5143\u7d20\u5c31\u4f1a\u66f4\u65b0\u4e3a10\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8bbf\u95eePython\u6570\u7ec4\u7684\u884c\u5217\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u51e0\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff1a\u4f7f\u7528\u7d22\u5f15\u8bbf\u95ee\u7279\u5b9a\u884c\u5217\u3001\u5229\u7528\u5207\u7247\u83b7\u53d6\u5b50\u6570\u7ec4\u3001\u5e94\u7528NumPy\u5e93 […]","protected":false},"author":3,"featured_media":988621,"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\/988603"}],"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=988603"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/988603\/revisions"}],"predecessor-version":[{"id":988622,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/988603\/revisions\/988622"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/988621"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=988603"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=988603"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=988603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}