{"id":24,"date":"2023-10-27T18:14:33","date_gmt":"2023-06-01T22:10:22","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/index.php\/2023\/11\/30\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/"},"modified":"2025-07-31T21:02:05","modified_gmt":"2025-07-31T13:02:05","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/","title":{"rendered":"Python\u6570\u7ec4\u5143\u7d20\u6dfb\u52a0\u6307\u5357\uff1a\u5217\u8868\u3001Numpy\u4e0ePandas\u9ad8\u6548\u64cd\u4f5c"},"content":{"rendered":"

\u5f15\u8a00<\/h3>\n

Python\u6ca1\u6709\u5185\u7f6e\u7684\u6570\u7ec4\u6570\u636e\u7c7b\u578b\uff0c\u4f46\u662f\u63d0\u4f9b\u4e86\u4e00\u4e9b\u6a21\u5757\u6765\u5904\u7406\u6570\u7ec4\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528array<\/code>\u6a21\u5757\u548cNumPy<\/code>\u6a21\u5757\u5411\u6570\u7ec4\u6dfb\u52a0\u5143\u7d20\u3002\u5f53\u60a8\u9700\u8981\u521b\u5efa\u6574\u6570\u548c\u6d6e\u70b9\u6570\u6570\u7ec4\u65f6\uff0carray<\/code>\u6a21\u5757\u975e\u5e38\u6709\u7528\uff1b\u800c\u5f53\u60a8\u9700\u8981\u5bf9\u6570\u7ec4\u8fdb\u884c\u590d\u6742\u7684\u6570\u5b66\u8fd0\u7b97\u65f6\uff0cNumPy<\/code>\u6a21\u5757\u5219\u66f4\u4e3a\u5f3a\u5927\u3002<\/p>\n

\u5728\u8bb8\u591a\u60c5\u51b5\u4e0b\uff0c\u60a8\u4e5f\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5217\u8868\uff08list\uff09\u6765\u6a21\u62df\u6570\u7ec4\uff0c\u56e0\u4e3a\u5217\u8868\u63d0\u4f9b\u4e86\u66f4\u5927\u7684\u7075\u6d3b\u6027\uff0c\u4f8b\u5982\u53ef\u4ee5\u5b58\u50a8\u6df7\u5408\u6570\u636e\u7c7b\u578b\uff0c\u5e76\u4e14\u4ecd\u7136\u5177\u5907\u8bb8\u591a\u6570\u7ec4\u7684\u7279\u6027\u3002\u60a8\u53ef\u4ee5\u67e5\u9605\u66f4\u591a\u5173\u4e8ePython\u5217\u8868<\/a>\u7684\u5185\u5bb9\u4ee5\u6df1\u5165\u4e86\u89e3\u3002<\/p>\n

\n

\u6ce8\u610f\uff1a\u53ea\u80fd\u5c06\u76f8\u540c\u6570\u636e\u7c7b\u578b\u7684\u5143\u7d20\u6dfb\u52a0\u5230\u6570\u7ec4\u4e2d\u3002\u540c\u6837\u5730\uff0c\u60a8\u53ea\u80fd\u5c06\u4e24\u4e2a\u76f8\u540c\u6570\u636e\u7c7b\u578b\u7684\u6570\u7ec4\u8fde\u63a5\u8d77\u6765\u3002<\/p>\n<\/div>\n

\u4f7f\u7528array<\/code>\u6a21\u5757\u5411\u6570\u7ec4\u6dfb\u52a0\u5143\u7d20<\/h2>\n

\u4f7f\u7528array<\/code>\u6a21\u5757\u65f6\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7+<\/code>\u8fd0\u7b97\u7b26\u8fde\u63a5\u6216\u5408\u5e76\u6570\u7ec4\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528append()<\/code>\u3001extend()<\/code>\u548cinsert()<\/code>\u65b9\u6cd5\u5411\u6570\u7ec4\u6dfb\u52a0\u5143\u7d20\u3002<\/p>\n

\n
\n\n\n\n\n\n\n\n\n
\u8bed\u6cd5<\/th>\n\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n
+<\/code> \u8fd0\u7b97\u7b26, x + y<\/code><\/td>\n\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u6570\u7ec4\u5143\u7d20\u7684\u65b0\u6570\u7ec4\u3002<\/td>\n<\/tr>\n
append(x)<\/code><\/td>\n\u5411\u6570\u7ec4\u672b\u5c3e\u6dfb\u52a0\u5355\u4e2a\u5143\u7d20\u3002<\/td>\n<\/tr>\n
extend(iterable)<\/code><\/td>\n\u5c06\u4e00\u4e2a\u5217\u8868\u3001\u6570\u7ec4\u6216\u5176\u4ed6\u53ef\u8fed\u4ee3\u5bf9\u8c61\u6dfb\u52a0\u5230\u6570\u7ec4\u672b\u5c3e\u3002<\/td>\n<\/tr>\n
insert(i, x)<\/code><\/td>\n\u5728\u6570\u7ec4\u7684\u6307\u5b9a\u7d22\u5f15i<\/code>\u4e4b\u524d\u63d2\u5165\u4e00\u4e2a\u5143\u7d20x<\/code>\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

\u4ee5\u4e0b\u793a\u4f8b\u6f14\u793a\u4e86\u5982\u4f55\u901a\u8fc7\u8fde\u63a5\u4e24\u4e2a\u6570\u7ec4\u6765\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u6570\u7ec4\u5bf9\u8c61\uff1a<\/p>\n

import<\/span> array\r\n\r\n# \u521b\u5efa\u6574\u578b\u6570\u7ec4\u5bf9\u8c61<\/span>\r\narr1 =<\/span> array.<\/span>array(<\/span>'i'<\/span>,<\/span> [<\/span>1<\/span>,<\/span> 2<\/span>,<\/span> 3<\/span>]<\/span>)<\/span>\r\narr2 =<\/span> array.<\/span>array(<\/span>'i'<\/span>,<\/span> [<\/span>4<\/span>,<\/span> 5<\/span>,<\/span> 6<\/span>]<\/span>)<\/span>\r\n\r\n# \u6253\u5370\u6570\u7ec4<\/span>\r\nprint<\/span>(<\/span>\"arr1 \u662f:\"<\/span>,<\/span> arr1)<\/span> \r\nprint<\/span>(<\/span>\"arr2 \u662f:\"<\/span>,<\/span> arr2)<\/span>\r\n\r\n# \u521b\u5efa\u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u6570\u7ec4\u6240\u6709\u5143\u7d20\u7684\u65b0\u6570\u7ec4\uff0c\u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\narr3 =<\/span> arr1 +<\/span> arr2\r\nprint<\/span>(<\/span>\"\u5728 arr3 = arr1 + arr2 \u4e4b\u540e\uff0carr3 \u662f:\"<\/span>,<\/span> arr3)<\/span>\r\n<\/code><\/pre>\n
\u8f93\u51fa\u7ed3\u679c\u662f\uff1a<\/p>\n
arr1 \u662f: array('i', [1, 2, 3])\r\narr2 \u662f: array('i', [4, 5, 6])\r\n\u5728 arr3 = arr1 + arr2 \u4e4b\u540e\uff0carr3 \u662f: array('i', [1, 2, 3, 4, 5, 6])\r\n<\/code><\/pre>\n
\u8f93\u51fa<\/div>\n
\u8fd9\u662f\u6587\u7ae0\u300a\u5982\u4f55\u5728Python\u4e2d\u5411\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20\u300b\u7684\u7b2c2\u90e8\u5206\uff08\u51717\u90e8\u5206\uff09\u3002<\/p>\n
arr1 is: array('i', [1, 2, 3]) arr2 is: array('i', [4, 5, 6]) After arr3 = arr1 + arr2, arr3 is: array('i', [1, 2, 3, 4, 5, 6])<\/code><\/pre>\n
\u4e0a\u8ff0\u4f8b\u5b50\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u7ed9\u5b9a\u6570\u7ec4\u4e2d\u6240\u6709\u5143\u7d20\u7684\u65b0\u6570\u7ec4\u3002<\/p>\n
\u4ee5\u4e0b\u793a\u4f8b\u6f14\u793a\u5982\u4f55\u4f7f\u7528 append()<\/code>\u3001extend()<\/code> \u548c insert()<\/code> \u65b9\u6cd5\u5411\u6570\u7ec4\u6dfb\u52a0\u5143\u7d20\u3002<\/p>\n
import<\/span> array\r\n\r\n# \u521b\u5efa\u6574\u578b\u6570\u7ec4\u5bf9\u8c61<\/span>\r\narr1 =<\/span> array.<\/span>array(<\/span>'i'<\/span>,<\/span> [<\/span>1<\/span>,<\/span> 2<\/span>,<\/span> 3<\/span>]<\/span>)<\/span>\r\narr2 =<\/span> array.<\/span>array(<\/span>'i'<\/span>,<\/span> [<\/span>4<\/span>,<\/span> 5<\/span>,<\/span> 6<\/span>]<\/span>)<\/span>\r\n\r\n# \u6253\u5370\u6570\u7ec4<\/span>\r\nprint<\/span>(<\/span>\"arr1 is:\"<\/span>,<\/span> arr1)<\/span> \r\nprint<\/span>(<\/span>\"arr2 is:\"<\/span>,<\/span> arr2)<\/span>\r\n\r\n# \u5411\u6570\u7ec4\u672b\u5c3e\u6dfb\u52a0\u4e00\u4e2a\u6574\u6570\u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\narr1.<\/span>append(<\/span>4<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"\\nAfter arr1.append(4), arr1 is:\"<\/span>,<\/span> arr1)<\/span>\r\n\r\n# \u901a\u8fc7\u8ffd\u52a0\u53e6\u4e00\u4e2a\u76f8\u540c\u7c7b\u578b\u7684\u6570\u7ec4\u6765\u6269\u5c55\u6570\u7ec4\u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\narr1.<\/span>extend(<\/span>arr2)<\/span>\r\nprint<\/span>(<\/span>\"\\nAfter arr1.extend(arr2), arr1 is:\"<\/span>,<\/span> arr1)<\/span>\r\n\r\n# \u5728\u7d22\u5f15\u4f4d\u7f6e0\u4e4b\u524d\u63d2\u5165\u4e00\u4e2a\u6574\u6570\u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\narr1.<\/span>insert(<\/span>0<\/span>,<\/span> 10<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"\\nAfter arr1.insert(0, 10), arr1 is:\"<\/span>,<\/span> arr1)<\/span>\r\n<\/code><\/pre>\n
\u8f93\u51fa\u662f\uff1a<\/p>\n
<\/code><\/pre>\n
\u8f93\u51fa<\/div>\n
arr1 is: array('i', [1, 2, 3]) arr2 is: array('i', [4, 5, 6]) After arr1.append(4), arr1 is: array('i', [1, 2, 3, 4]) After arr1.extend(arr2), arr1 is: array('i', [1, 2, 3, 4, 4, 5, 6]) After arr1.insert(0, 10), arr1 is: array('i', [10, 1, 2, 3, 4, 4, 5, 6])<\/code><\/pre>\n
\u5728\u524d\u9762\u7684\u4f8b\u5b50\u4e2d\uff0c\u6bcf\u4e2a\u65b9\u6cd5\u90fd\u5728 arr1<\/code> \u6570\u7ec4\u5bf9\u8c61\u4e0a\u8c03\u7528\u5e76\u4fee\u6539\u4e86\u539f\u59cb\u5bf9\u8c61\u3002<\/p>\n
\u7ed9NumPy\u6570\u7ec4\u6dfb\u52a0\u5143\u7d20<\/h2>\n
\u4f7f\u7528NumPy\u6a21\u5757\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528NumPy\u7684 append()<\/code> \u548c insert()<\/code> \u51fd\u6570\u5411\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20\u3002<\/p>\n
\n
\n\n\n\n\n\n\n
\u8bed\u6cd5<\/th>\n\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n
numpy.append(arr, values, axis=None)<\/code><\/td>\n\u5c06 values<\/code> \u6216\u6570\u7ec4\u8ffd\u52a0\u5230 arr<\/code> \u7684\u526f\u672c\u672b\u5c3e\u3002\u5982\u679c\u672a\u63d0\u4f9b axis<\/code>\uff0c\u5219\u9ed8\u8ba4\u4e3a None<\/code>\uff0c\u8fd9\u610f\u5473\u7740\u5728\u8ffd\u52a0\u64cd\u4f5c\u4e4b\u524d\uff0carr<\/code> \u548c values<\/code> \u90fd\u4f1a\u88ab\u5c55\u5e73\u3002<\/td>\n<\/tr>\n
numpy.insert(arr, obj, values, axis=None)<\/code><\/td>\n\u6cbf\u6307\u5b9a\u8f74\u5728\u7d22\u5f15 obj<\/code> \u4e4b\u524d\u63d2\u5165 values<\/code> \u6216\u6570\u7ec4\u3002\u5982\u679c\u672a\u63d0\u4f9b axis<\/code>\uff0c\u5219\u9ed8\u8ba4\u4e3a None<\/code>\uff0c\u8fd9\u610f\u5473\u7740\u5728\u63d2\u5165\u64cd\u4f5c\u4e4b\u524d\uff0c\u53ea\u6709 arr<\/code> \u4f1a\u88ab\u5c55\u5e73\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
\u8fd9\u662f\u6587\u7ae0\u300a\u5982\u4f55\u5728Python\u4e2d\u5411\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20\u300b\u7684\u7b2c3\u90e8\u5206\uff08\u51717\u90e8\u5206\uff09\u3002<\/p>\n
numpy.append()<\/code>\u51fd\u6570\u5728\u540e\u53f0\u4f7f\u7528numpy.concatenate()<\/code>\u51fd\u6570\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528numpy.concatenate()<\/code>\u51fd\u6570\u6cbf\u7740\u73b0\u6709\u8f74\u8fde\u63a5\u4e00\u4e2a\u6570\u7ec4\u5e8f\u5217\u3002\u5982\u9700\u4e86\u89e3\u66f4\u591a\u6570\u7ec4\u64cd\u4f5c\u4f8b\u7a0b\uff0c\u8bf7\u67e5\u9605NumPy\u6587\u6863\u3002<\/p>\n
\n
\u6ce8\u610f\uff1a<\/strong><\/p>\n
\n
\u60a8\u9700\u8981\u5b89\u88c5NumPy\u624d\u80fd\u6d4b\u8bd5\u672c\u8282\u4e2d\u7684\u793a\u4f8b\u4ee3\u7801\u3002\u672c\u8282\u4e2d\u7684\u793a\u4f8b\u4f7f\u7528\u4e8c\u7ef4\u6570\u7ec4\u6765\u7a81\u51fa\u8bf4\u660e\u51fd\u6570\u5982\u4f55\u6839\u636e\u60a8\u63d0\u4f9b\u7684\u8f74\u503c\u6765\u64cd\u4f5c\u6570\u7ec4\u3002<\/p>\n
\u4f7f\u7528numpy.append()<\/code>\u51fd\u6570\u5411\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20<\/h3>\n
NumPy\u6570\u7ec4\u53ef\u4ee5\u901a\u8fc7\u7ef4\u5ea6\u548c\u5f62\u72b6\u6765\u63cf\u8ff0\u3002\u5f53\u60a8\u5c06\u503c\u6216\u6570\u7ec4\u8ffd\u52a0\u5230\u591a\u7ef4\u6570\u7ec4\u65f6\uff0c\u88ab\u8ffd\u52a0\u7684\u6570\u7ec4\u6216\u503c\u9700\u8981\u5177\u6709\u76f8\u540c\u7684\u5f62\u72b6\uff0c\u9664\u975e\u662f\u6cbf\u7740\u6307\u5b9a\u7684\u8f74\u65b9\u5411\u3002<\/p>\n
\u8981\u7406\u89e3\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u7684\u5f62\u72b6\uff0c\u9700\u8981\u8003\u8651\u884c\u548c\u5217\u3002\u4f8b\u5982\uff0carray([[1, 2], [3, 4]])<\/code>\u7684\u5f62\u72b6\u4e3a2\u884c2\u5217\uff0c\u800carray([[10, 20, 30], [40, 50, 60]])<\/code>\u7684\u5f62\u72b6\u4e3a2\u884c3\u5217\u3002<\/p>\n
\u4f7f\u7528Python\u4ea4\u4e92\u5f0f\u63a7\u5236\u53f0\u6765\u6d4b\u8bd5\u8fd9\u4e2a\u6982\u5ff5\u3002<\/p>\n
\u9996\u5148\uff0c\u5bfc\u5165NumPy\u6a21\u5757\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e9b\u6570\u7ec4\u5e76\u68c0\u67e5\u5b83\u4eec\u7684\u5f62\u72b6\u3002<\/p>\n
\u5bfc\u5165NumPy\uff0c\u7136\u540e\u521b\u5efa\u5e76\u6253\u5370np_arr1<\/code>\u3002<\/p>\n
<\/code><\/pre>\n
    \n
  1. >>><\/span> import<\/span> numpy as np<\/li>\n
  2. >>><\/span> np_arr1 =<\/span> np.array(<\/span>[<\/span>[<\/span>1<\/span>, 2<\/span>]<\/span>, [<\/span>3<\/span>, 4<\/span>]<\/span>]<\/span>)<\/span><\/li>\n
  3. >>><\/span> print(<\/span>np_arr1)<\/span><\/li>\n<\/ol>\n
    <\/code><\/pre>\n
    <\/code><\/pre>\n
    \u8f93\u51fa<\/div>\n
    [[1 2]\r\n [3 4]]<\/code><\/pre>\n
    <\/code><\/pre>\n
    \u67e5\u770bnp_arr1<\/code>\u7684\u5f62\u72b6\u3002<\/p>\n
    <\/code><\/pre>\n
      \n
    1. >>><\/span> np_arr1.shape<\/li>\n<\/ol>\n
      <\/code><\/pre>\n
      <\/code><\/pre>\n
      \u8f93\u51fa<\/div>\n
      (2, 2)<\/code><\/pre>\n
      <\/code><\/pre>\n
      \u521b\u5efa\u5e76\u6253\u5370\u53e6\u4e00\u4e2a\u6570\u7ec4np_arr2<\/code>\u3002<\/p>\n
      <\/code><\/pre>\n
        \n
      1. >>><\/span> np_arr2 =<\/span> np.array(<\/span>[<\/span>[<\/span>10<\/span>, 20<\/span>, 30<\/span>]<\/span>, [<\/span>40<\/span>, 50<\/span>, 60<\/span>]<\/span>]<\/span>)<\/span><\/li>\n
      2. >>><\/span> print(<\/span>np_arr2)<\/span><\/li>\n<\/ol>\n
        <\/code><\/pre>\n
        <\/code><\/pre>\n
        \u8f93\u51fa<\/div>\n
        [[10 20 30]\r\n [40 50 60]]<\/code><\/pre>\n
        <\/code><\/pre>\n
        \u68c0\u67e5np_arr2<\/code>\u7684\u5f62\u72b6\u3002<\/p>\n
        <\/code><\/pre>\n
          \n
        1. >>><\/span> np_arr2.shape<\/li>\n<\/ol>\n
          <\/code><\/pre>\n
          <\/code><\/pre>\n
          \u8f93\u51fa<\/div>\n
          (2, 3)<\/code><\/pre>\n
          <\/code><\/pre>\n
          \u7136\u540e\u5c1d\u8bd5\u5728\u4e0d\u540c\u7684\u8f74\u5411\u4e0a\u6dfb\u52a0\u6570\u7ec4\u3002\u60a8\u53ef\u4ee5\u5c06\u4e00\u4e2a\u5f62\u72b6\u4e3a2×3\u7684\u6570\u7ec4\u6dfb\u52a0\u5230\u4e00\u4e2a\u6cbf\u7740\u8f741\u5177\u6709\u5f62\u72b6\u4e3a2×2\u7684\u6570\u7ec4\u4e0a\uff0c\u4f46\u4e0d\u80fd\u6cbf\u7740\u8f740\u6dfb\u52a0\u3002<\/p>\n
          \u5c06np_arr2<\/code>\u6cbf\u7740\u8f740\uff08\u5373\u6309\u884c\uff09\u6dfb\u52a0\u5230np_arr1<\/code>\u3002<\/p>\n
          <\/code><\/pre>\n
            \n
          1. >>><\/span> np.append(<\/span>np_arr1, np_arr2, axis<\/span>=<\/span>0<\/span>)<\/span><\/li>\n<\/ol>\n
            <\/code><\/pre>\n
            <\/code><\/pre>\n
            \u60a8\u4f1a\u9047\u5230\u4e00\u4e2aValueError<\/code>\u9519\u8bef\uff1a<\/p>\n
            <\/code><\/pre>\n
            \u8f93\u51fa<\/div>\n<\/div>\n<\/div>\n
            \u8fd9\u662f\u6587\u7ae0\u300a\u5982\u4f55\u5728Python\u4e2d\u5411\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20\u300b\u7684\u7b2c4\u90e8\u5206\uff08\u51717\u90e8\u5206\uff09\u3002<\/p>\n
            <\/code><\/pre>\n
            Traceback (most recent call last):<\/p>\n
              File “<stdin>”, line 1, in <module><\/p>\n
              File “<__array_function__ internals>”, line 5, in append<\/p>\n
              File “\/Users\/digitalocean\/opt\/anaconda3\/lib\/python3.9\/site-packages\/numpy\/lib\/function_base.py”, line 4817, in append<\/p>\n
                return concatenate((arr, values), axis=axis)<\/p>\n
              File “<__array_function__ internals>”, line 5, in concatenate<\/p>\n
            ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 2 and the array at index 1 has size 3<\/p>\n
            <\/code><\/pre>\n
            \u60a8\u4e0d\u80fd\u5c06\u7531\u4e09\u5217\u7ec4\u6210\u7684\u884c\u9644\u52a0\u5230\u53ea\u6709\u4e24\u5217\u7ec4\u6210\u7684\u884c\u7684\u6570\u7ec4\u4e2d\u3002<\/p>\n
            \u5c06np_arr2<\/code>\u6cbf\u7740\u8f741\uff08\u5373\u6309\u5217\uff09\u9644\u52a0\u5230np_arr1<\/code>\u4e0a\u3002<\/p>\n
            <\/code><\/pre>\n
              \n
            1. >>> np.append(np_arr1, np_arr2, axis=1)<\/li>\n<\/ol>\n
              <\/code><\/pre>\n
               <\/p>\n
              <\/code><\/pre>\n
              \u8f93\u51fa\u4e3a\uff1a<\/p>\n
              <\/code><\/pre>\n
              \u8f93\u51fa<\/div>\n
              \u8fd9\u662f\u6587\u7ae0\u300a\u5982\u4f55\u5728Python\u4e2d\u5411\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20\u300b\u7684\u7b2c5\u90e8\u5206\uff08\u51717\u90e8\u5206\uff09\u3002<\/p>\n
              array([[ 1, 2, 10, 20, 30],\r\n       [ 3, 4, 40, 50, 60]])<\/code><\/pre>\n
              \u4f60\u53ef\u4ee5\u5c06\u4e00\u4e2a\u5177\u6709\u4e24\u884c\u9ad8\u5ea6\u7684\u5217\u6570\u7ec4\u9644\u52a0\u5230\u53e6\u4e00\u4e2a\u5177\u6709\u4e24\u884c\u9ad8\u5ea6\u7684\u5217\u6570\u7ec4\u4e2d\u3002<\/p>\n
              \u4e0b\u9762\u7684\u793a\u4f8b\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528numpy.append()<\/code>\u51fd\u6570\u5411NumPy\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20\u3002<\/p>\n
              import<\/span> numpy as<\/span> np\r\n\r\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\u5bf9\u8c61\uff08\u6574\u6570\uff09<\/span>\r\nnp_arr1 =<\/span> np.<\/span>array(<\/span>[<\/span>[<\/span>1<\/span>,<\/span> 2<\/span>]<\/span>,<\/span> [<\/span>3<\/span>,<\/span> 4<\/span>]<\/span>]<\/span>)<\/span>\r\nnp_arr2 =<\/span> np.<\/span>array(<\/span>[<\/span>[<\/span>10<\/span>,<\/span> 20<\/span>]<\/span>,<\/span> [<\/span>30<\/span>,<\/span> 40<\/span>]<\/span>]<\/span>)<\/span>\r\n\r\n# \u6253\u5370\u6570\u7ec4<\/span>\r\nprint<\/span>(<\/span>\"np_arr1 \u662f\uff1a\\n\"<\/span>,<\/span> np_arr1)<\/span>\r\nprint<\/span>(<\/span>\"np_arr2 \u662f\uff1a\\n\"<\/span>,<\/span> np_arr2)<\/span>\r\n\r\n# \u5c06\u4e00\u4e2a\u6570\u7ec4\u9644\u52a0\u5230\u53e6\u4e00\u4e2a\u6570\u7ec4\u7684\u672b\u5c3e\u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\n# \u5728\u9644\u52a0\u4e4b\u524d\uff0c\u4e24\u4e2a\u6570\u7ec4\u90fd\u4f1a\u88ab\u5c55\u5e73<\/span>\r\nappend_axis_none =<\/span> np.<\/span>append(<\/span>np_arr1,<\/span> np_arr2,<\/span> axis=<\/span>None<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"append_axis_none \u662f\uff1a\\n\"<\/span>,<\/span> append_axis_none)<\/span>\r\n\r\n# \u6cbf\u8f74 0\uff08\u6309\u884c\uff09\u5c06\u4e00\u4e2a\u6570\u7ec4\u9644\u52a0\u5230\u53e6\u4e00\u4e2a\u6570\u7ec4\u7684\u672b\u5c3e\u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\nappend_axis_0 =<\/span> np.<\/span>append(<\/span>np_arr1,<\/span> np_arr2,<\/span> axis=<\/span>0<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"append_axis_0 \u662f\uff1a\\n\"<\/span>,<\/span> append_axis_0)<\/span>\r\n\r\n# \u6cbf\u8f74 1\uff08\u6309\u5217\uff09\u5c06\u4e00\u4e2a\u6570\u7ec4\u9644\u52a0\u5230\u53e6\u4e00\u4e2a\u6570\u7ec4\u7684\u672b\u5c3e\u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\nappend_axis_1 =<\/span> np.<\/span>append(<\/span>np_arr1,<\/span> np_arr2,<\/span> axis=<\/span>1<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"append_axis_1 \u662f\uff1a\\n\"<\/span>,<\/span> append_axis_1)<\/span><\/code><\/pre>\n
              \u8f93\u51fa\u7ed3\u679c\u662f\uff1a<\/p>\n
              <\/code><\/pre>\n
              \u8f93\u51fa<\/div>\n
              <\/code><\/pre>\n
              np_arr1 \u4e3a: [[1 2] [3 4]]<\/p>\n
              np_arr2 \u4e3a: [[10 20] [30 40]]<\/p>\n
              append_axis_none \u4e3a: [ 1 2 3 4 10 20 30 40]<\/p>\n
              append_axis_0 \u4e3a: [[ 1 2] [ 3 4] [10 20] [30 40]]<\/p>\n
              append_axis_1 \u4e3a: [[ 1 2 10 20] [ 3 4 30 40]]<\/p>\n
              <\/code><\/pre>\n
              \u4e0a\u8ff0\u4f8b\u5b50\u5c55\u793a\u4e86 numpy.append()<\/code> \u51fd\u6570\u5728\u4e8c\u7ef4\u6570\u7ec4\uff082D \u6570\u7ec4\uff09\u7684\u6bcf\u4e2a\u8f74\u4e0a\u7684\u5de5\u4f5c\u65b9\u5f0f\u4ee5\u53ca\u7ed3\u679c\u6570\u7ec4\u5f62\u72b6\u7684\u53d8\u5316\u3002\u5f53\u8f74\u4e3a 0 \u65f6\uff0c\u6570\u7ec4\u6309\u884c\u8ffd\u52a0\u3002\u5f53\u8f74\u4e3a 1 \u65f6\uff0c\u6570\u7ec4\u6309\u5217\u8ffd\u52a0\u3002<\/p>\n
              \u4f7f\u7528 numpy.insert()<\/code> \u5c06\u5143\u7d20\u6dfb\u52a0\u5230\u6570\u7ec4\u4e2d<\/h3>\n
              numpy.insert()<\/code> \u51fd\u6570\u5728\u7ed9\u5b9a\u7684\u7d22\u5f15\u4f4d\u7f6e\u3001\u6cbf\u6307\u5b9a\u7684\u8f74\u5411\u5c06\u4e00\u4e2a\u6570\u7ec4\u6216\u6570\u503c\u63d2\u5165\u53e6\u4e00\u4e2a\u6570\u7ec4\u4e2d\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u6570\u7ec4\u3002<\/p>\n
              \u4e0e numpy.append()<\/code> \u51fd\u6570\u4e0d\u540c\uff0c\u5982\u679c\u672a\u63d0\u4f9b\u8f74\u6216\u6307\u5b9a\u4e3a None<\/code>\uff0c\u5219 numpy.insert()<\/code> \u51fd\u6570\u4ec5\u5c06\u7b2c\u4e00\u4e2a\u6570\u7ec4\u5c55\u5e73\uff0c\u5e76\u4e14\u4e0d\u4f1a\u5c55\u5e73\u8981\u63d2\u5165\u7684\u503c\u6216\u6570\u7ec4\u3002\u5982\u679c\u5c1d\u8bd5\u5c06\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u63d2\u5165\u5230\u672a\u6307\u5b9a\u8f74\u7684\u4e8c\u7ef4\u6570\u7ec4\u4e2d\uff0c\u5c06\u4f1a\u5f15\u53d1 ValueError<\/code> \u9519\u8bef\u3002<\/p>\n
              \u4ee5\u4e0b\u793a\u4f8b\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528 numpy.insert()<\/code> \u51fd\u6570\u5c06\u5143\u7d20\u63d2\u5165\u6570\u7ec4\u4e2d\u3002<\/p>\n
              import<\/span> numpy as<\/span> np\r\n\r\n# \u521b\u5efa\u6570\u7ec4\u5bf9\u8c61\uff08\u6574\u6570\uff09<\/span>\r\nnp_arr1 =<\/span> np.<\/span>array(<\/span>[<\/span>[<\/span>1<\/span>,<\/span> 2<\/span>]<\/span>,<\/span> [<\/span>4<\/span>,<\/span> 5<\/span>]<\/span>]<\/span>)<\/span>\r\nnp_arr2 =<\/span> np.<\/span>array(<\/span>[<\/span>[<\/span>10<\/span>,<\/span> 20<\/span>]<\/span>,<\/span> 30<\/span>,<\/span> 40<\/span>]<\/span>]<\/span>)<\/span>\r\nnp_arr3 =<\/span> np.<\/span>array(<\/span>[<\/span>100<\/span>,<\/span> 200<\/span>,<\/span> 300<\/span>]<\/span>)<\/span>\r\n\r\n# \u6253\u5370\u6570\u7ec4<\/span>\r\nprint<\/span>(<\/span>\"np_arr1 \u4e3a:\\n\"<\/span>,<\/span> np_arr1)<\/span>\r\nprint<\/span>(<\/span>\"np_arr2 \u4e3a:\\n\"<\/span>,<\/span> np_arr2)<\/span>\r\nprint<\/span>(<\/span>\"np_arr3 \u4e3a:\\n\"<\/span>,<\/span> np_arr3)<\/span>\r\n\r\n# \u5c06\u4e00\u7ef4\u6570\u7ec4\u63d2\u5165\u4e8c\u7ef4\u6570\u7ec4\uff0c\u7136\u540e\u6253\u5370\u7ed3\u679c<\/span>\r\n# \u539f\u59cb\u6570\u7ec4\u5728\u63d2\u5165\u524d\u88ab\u5c55\u5e73<\/span>\r\ninsert_axis_none =<\/span> np.<\/span>insert(<\/span>np_arr1,<\/span> 1<\/span>,<\/span> np_arr3,<\/span> axis=<\/span>None<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"insert_axis_none \u4e3a:\\n\"<\/span>,<\/span> insert_axis_none)<\/span>\r\n\r\n# \u6309\u884c\u5c06\u4e00\u4e2a\u6570\u7ec4\u63d2\u5165\u53e6\u4e00\u4e2a\u6570\u7ec4<\/span>\r\n# \u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\ninsert_axis_0 =<\/span> np.<\/span>insert(<\/span>np_arr1,<\/span> 1<\/span>,<\/span> np_arr2,<\/span> axis=<\/span>0<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"insert_axis_0 \u4e3a:\\n\"<\/span>,<\/span> insert_axis_0)<\/span>\r\n\r\n# \u6309\u5217\u5c06\u4e00\u4e2a\u6570\u7ec4\u63d2\u5165\u53e6\u4e00\u4e2a\u6570\u7ec4<\/span>\r\n# \u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\ninsert_axis_1 =<\/span> np.<\/span>insert(<\/span>np_arr1,<\/span> 1<\/span>,<\/span> np_arr2,<\/span> axis=<\/span>1<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"insert_axis_1 \u4e3a:\\n\"<\/span>,<\/span> insert_axis_1)<\/span>\r\n<\/code><\/pre>\n
              \u8f93\u51fa\u662f:<\/p>\n
              <\/code><\/pre>\n
              \u8f93\u51fa<\/div>\n
              <\/code><\/pre>\n
              np_arr1 is: [[1 2] [4 5]]<\/p>\n
              np_arr2 is: [[10 20] [30 40]]<\/p>\n
              insert_axis_none is: [ 1 100 200 300 2 4 5]<\/p>\n
              insert_axis_0 is: [[ 1 2] [10 20] [30 40] [ 4 5]]<\/p>\n
              insert_axis_1 is: [[ 1 10 30 2] [ 4 20 40 5]]<\/p>\n
              <\/code><\/pre>\n
              \u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0c\u5f53\u4f60\u5728\u8f741\u4e0a\u5c06\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u63d2\u5165\u5230\u53e6\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u65f6\uff0cnp_arr2<\/code>\u4e2d\u7684\u6bcf\u4e2a\u6570\u7ec4\u90fd\u88ab\u4f5c\u4e3a\u5355\u72ec\u7684\u5217\u63d2\u5165\u5230np_arr1<\/code>\u4e2d\u3002\u5982\u679c\u4f60\u60f3\u8981\u5c06\u6574\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u63d2\u5165\u5230\u53e6\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u4e2d\uff0c\u9700\u8981\u5728obj<\/code>\u53c2\u6570\u7d22\u5f15\u503c\u5468\u56f4\u52a0\u4e0a\u65b9\u62ec\u53f7\uff0c\u8868\u793a\u6574\u4e2a\u6570\u7ec4\u5e94\u8be5\u5728\u8be5\u4f4d\u7f6e\u4e4b\u524d\u63d2\u5165\u3002\u5982\u679c\u6ca1\u6709\u65b9\u62ec\u53f7\uff0cnumpy.insert()<\/code>\u4f1a\u5c06\u6570\u7ec4\u6309\u987a\u5e8f\u5806\u53e0\u4e3a\u5217\uff0c\u63d2\u5165\u5230\u7ed9\u5b9a\u7684\u7d22\u5f15\u4e4b\u524d\u3002<\/p>\n
              \u4ee5\u4e0b\u793a\u4f8b\u663e\u793a\u4e86\u5e26\u6709\u548c\u4e0d\u5e26\u6709\u65b9\u62ec\u53f7\u7684\u5bf9\u8c61\uff08\u7d22\u5f15\uff09\u53c2\u6570\u7684\u8f93\u51fa\u60c5\u51b5\uff1a<\/p>\n
              import<\/span> numpy as<\/span> np\r\n\r\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\u5bf9\u8c61\uff08\u6574\u6570\uff09<\/span>\r\nnp_arr1 =<\/span> np.<\/span>array(<\/span>[<\/span>[<\/span>1<\/span>,<\/span> 2<\/span>]<\/span>,<\/span> [<\/span>3<\/span>,<\/span> 4<\/span>]<\/span>]<\/span>)<\/span>\r\nnp_arr2 =<\/span> np.<\/span>array(<\/span>[<\/span>[<\/span>10<\/span>,<\/span> 20<\/span>]<\/span>,<\/span> [<\/span>30<\/span>,<\/span> 40<\/span>]<\/span>]<\/span>)<\/span>\r\n\r\n# \u6253\u5370\u6570\u7ec4<\/span>\r\nprint<\/span>(<\/span>\"np_arr1 is:\\n\"<\/span>,<\/span> np_arr1)<\/span>\r\nprint<\/span>(<\/span>\"np_arr2 is:\\n\"<\/span>,<\/span> np_arr2)<\/span>\r\n\r\n# \u5c06\u4e00\u4e2a\u6570\u7ec4\u6309\u5217\u63d2\u5165\u5230\u53e6\u4e00\u4e2a\u6570\u7ec4\u4e2d\uff0c\u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\ninsert_axis_1 =<\/span> np.<\/span>insert(<\/span>np_arr1,<\/span> 1<\/span><\/mark>,<\/span> np_arr2,<\/span> axis=<\/span>1<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"insert_axis_1 is:\\n\"<\/span>,<\/span> insert_axis_1)<\/span>\r\n\r\n# \u5c06\u6574\u4e2a\u6570\u7ec4\u6309\u5217\u63d2\u5165\u5230\u53e6\u4e00\u4e2a\u6570\u7ec4\u4e2d\uff0c\u5e76\u6253\u5370\u7ed3\u679c<\/span>\r\ninsert_index_axis_1 =<\/span> np.<\/span>insert(<\/span>np_arr1,<\/span> [<\/span>1<\/span>]<\/span><\/mark>,<\/span> np_arr2,<\/span> axis=<\/span>1<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"insert_index_axis_1 is:\\n\"<\/span>,<\/span> insert_index_axis_1)<\/span>\r\n<\/code><\/pre>\n
              \u8f93\u51fa\u4e3a:<\/p>\n
              <\/code><\/pre>\n
              \u8f93\u51fa<\/div>\n
              <\/code><\/pre>\n
              np_arr1 is: [[1 2] [3 4]]<\/p>\n
              np_arr2 is: [[10 20] [30 40]]<\/p>\n
              insert_axis_1 is: [[ 1 10 30 2] [ 3 20 40 4]]<\/p>\n
              insert_index_axis_1 is: [[ 1 10 20 2] [ 3 30 40 4]]<\/p>\n
              <\/code><\/pre>\n
              \u4e0a\u9762\u7684\u4f8b\u5b50\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528numpy.insert()<\/code>\u6839\u636e\u7d22\u5f15\u7b26\u53f7\u5c06\u5217\u63d2\u5165\u6570\u7ec4\u4e2d\u3002<\/p>\n
              \u7ed3\u8bba<\/h2>\n
              \u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u4f60\u4f7f\u7528\u4e86array<\/code>\u548cNumPy<\/code>\u6a21\u5757\u5411\u6570\u7ec4\u6dfb\u52a0\u5143\u7d20\u3002\u8bf7\u7ee7\u7eed\u5b66\u4e60\u66f4\u591a\u5173\u4e8eNumPy<\/code>\u548cPython<\/code>\u7684\u6559\u7a0b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
              \u5f15\u8a00 Python\u6ca1\u6709\u5185\u7f6e\u7684\u6570\u7ec4\u6570\u636e\u7c7b\u578b\uff0c\u4f46\u662f\u63d0\u4f9b\u4e86\u4e00\u4e9b\u6a21\u5757\u6765\u5904\u7406\u6570\u7ec4\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528array\u6a21\u5757\u548c […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[272,273,32,271,270],"class_list":["post-24","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-numpy","tag-pandas","tag-python","tag-271","tag-270"],"yoast_head":"\nPython\u6570\u7ec4\u5143\u7d20\u6dfb\u52a0\u6307\u5357\uff1a\u5217\u8868\u3001Numpy\u4e0ePandas\u9ad8\u6548\u64cd\u4f5c - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"\u672c\u6307\u5357\u8be6\u7ec6\u8bb2\u89e3Python\u4e2d\u5411\u6570\u7ec4\uff08\u5217\u8868\u3001Numpy\u6570\u7ec4\u3001Pandas Series\/DataFrame\uff09\u6dfb\u52a0\u5143\u7d20\u7684\u591a\u79cd\u9ad8\u6548\u65b9\u6cd5\uff0c\u5305\u62ecappend\u3001insert\u3001extend\u3001concatenate\u7b49\uff0c\u52a9\u60a8\u8f7b\u677e\u638c\u63e1\u6570\u636e\u64cd\u4f5c\u6280\u5de7\uff0c\u63d0\u5347\u7f16\u7a0b\u6548\u7387\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/\u5982\u4f55\u5728python\u4e2d\u5411\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\u6570\u7ec4\u5143\u7d20\u6dfb\u52a0\u6307\u5357\uff1a\u5217\u8868\u3001Numpy\u4e0ePandas\u9ad8\u6548\u64cd\u4f5c\" \/>\n<meta property=\"og:description\" content=\"\u672c\u6307\u5357\u8be6\u7ec6\u8bb2\u89e3Python\u4e2d\u5411\u6570\u7ec4\uff08\u5217\u8868\u3001Numpy\u6570\u7ec4\u3001Pandas Series\/DataFrame\uff09\u6dfb\u52a0\u5143\u7d20\u7684\u591a\u79cd\u9ad8\u6548\u65b9\u6cd5\uff0c\u5305\u62ecappend\u3001insert\u3001extend\u3001concatenate\u7b49\uff0c\u52a9\u60a8\u8f7b\u677e\u638c\u63e1\u6570\u636e\u64cd\u4f5c\u6280\u5de7\uff0c\u63d0\u5347\u7f16\u7a0b\u6548\u7387\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/\u5982\u4f55\u5728python\u4e2d\u5411\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - Silicon Cloud\" \/>\n<meta property=\"article:published_time\" content=\"2023-06-01T22:10:22+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-07-31T13:02:05+00:00\" \/>\n<meta name=\"author\" content=\"\u97f5, \u79d1\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u97f5, \u79d1\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/\",\"url\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/\",\"name\":\"Python\u6570\u7ec4\u5143\u7d20\u6dfb\u52a0\u6307\u5357\uff1a\u5217\u8868\u3001Numpy\u4e0ePandas\u9ad8\u6548\u64cd\u4f5c - Blog - Silicon Cloud\",\"isPartOf\":{\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#website\"},\"datePublished\":\"2023-06-01T22:10:22+00:00\",\"dateModified\":\"2025-07-31T13:02:05+00:00\",\"author\":{\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/6530331a63adef3b3443a1fab53a0e6e\"},\"description\":\"\u672c\u6307\u5357\u8be6\u7ec6\u8bb2\u89e3Python\u4e2d\u5411\u6570\u7ec4\uff08\u5217\u8868\u3001Numpy\u6570\u7ec4\u3001Pandas Series\/DataFrame\uff09\u6dfb\u52a0\u5143\u7d20\u7684\u591a\u79cd\u9ad8\u6548\u65b9\u6cd5\uff0c\u5305\u62ecappend\u3001insert\u3001extend\u3001concatenate\u7b49\uff0c\u52a9\u60a8\u8f7b\u677e\u638c\u63e1\u6570\u636e\u64cd\u4f5c\u6280\u5de7\uff0c\u63d0\u5347\u7f16\u7a0b\u6548\u7387\u3002\",\"breadcrumb\":{\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/www.silicloud.com\/zh\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Python\u6570\u7ec4\u5143\u7d20\u6dfb\u52a0\u6307\u5357\uff1a\u5217\u8868\u3001Numpy\u4e0ePandas\u9ad8\u6548\u64cd\u4f5c\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#website\",\"url\":\"https:\/\/www.silicloud.com\/zh\/blog\/\",\"name\":\"Blog - Silicon Cloud\",\"description\":\"\",\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/6530331a63adef3b3443a1fab53a0e6e\",\"name\":\"\u97f5, \u79d1\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/429ccb39b3fff5188bc17986222cfb0936cbadb8cc933cff04ab5ca01bd30a08?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/429ccb39b3fff5188bc17986222cfb0936cbadb8cc933cff04ab5ca01bd30a08?s=96&d=mm&r=g\",\"caption\":\"\u97f5, \u79d1\"},\"url\":\"https:\/\/www.silicloud.com\/zh\/blog\/author\/yunke\/\"},{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/#local-main-organization-logo\",\"url\":\"\",\"contentUrl\":\"\",\"caption\":\"Blog - Silicon Cloud\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Python\u6570\u7ec4\u5143\u7d20\u6dfb\u52a0\u6307\u5357\uff1a\u5217\u8868\u3001Numpy\u4e0ePandas\u9ad8\u6548\u64cd\u4f5c - Blog - Silicon Cloud","description":"\u672c\u6307\u5357\u8be6\u7ec6\u8bb2\u89e3Python\u4e2d\u5411\u6570\u7ec4\uff08\u5217\u8868\u3001Numpy\u6570\u7ec4\u3001Pandas Series\/DataFrame\uff09\u6dfb\u52a0\u5143\u7d20\u7684\u591a\u79cd\u9ad8\u6548\u65b9\u6cd5\uff0c\u5305\u62ecappend\u3001insert\u3001extend\u3001concatenate\u7b49\uff0c\u52a9\u60a8\u8f7b\u677e\u638c\u63e1\u6570\u636e\u64cd\u4f5c\u6280\u5de7\uff0c\u63d0\u5347\u7f16\u7a0b\u6548\u7387\u3002","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.silicloud.com\/zh\/blog\/\u5982\u4f55\u5728python\u4e2d\u5411\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20\/","og_locale":"zh_CN","og_type":"article","og_title":"Python\u6570\u7ec4\u5143\u7d20\u6dfb\u52a0\u6307\u5357\uff1a\u5217\u8868\u3001Numpy\u4e0ePandas\u9ad8\u6548\u64cd\u4f5c","og_description":"\u672c\u6307\u5357\u8be6\u7ec6\u8bb2\u89e3Python\u4e2d\u5411\u6570\u7ec4\uff08\u5217\u8868\u3001Numpy\u6570\u7ec4\u3001Pandas Series\/DataFrame\uff09\u6dfb\u52a0\u5143\u7d20\u7684\u591a\u79cd\u9ad8\u6548\u65b9\u6cd5\uff0c\u5305\u62ecappend\u3001insert\u3001extend\u3001concatenate\u7b49\uff0c\u52a9\u60a8\u8f7b\u677e\u638c\u63e1\u6570\u636e\u64cd\u4f5c\u6280\u5de7\uff0c\u63d0\u5347\u7f16\u7a0b\u6548\u7387\u3002","og_url":"https:\/\/www.silicloud.com\/zh\/blog\/\u5982\u4f55\u5728python\u4e2d\u5411\u6570\u7ec4\u4e2d\u6dfb\u52a0\u5143\u7d20\/","og_site_name":"Blog - Silicon Cloud","article_published_time":"2023-06-01T22:10:22+00:00","article_modified_time":"2025-07-31T13:02:05+00:00","author":"\u97f5, \u79d1","twitter_card":"summary_large_image","twitter_misc":{"\u4f5c\u8005":"\u97f5, \u79d1","\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4":"3 \u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/","url":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/","name":"Python\u6570\u7ec4\u5143\u7d20\u6dfb\u52a0\u6307\u5357\uff1a\u5217\u8868\u3001Numpy\u4e0ePandas\u9ad8\u6548\u64cd\u4f5c - Blog - Silicon Cloud","isPartOf":{"@id":"https:\/\/www.silicloud.com\/zh\/blog\/#website"},"datePublished":"2023-06-01T22:10:22+00:00","dateModified":"2025-07-31T13:02:05+00:00","author":{"@id":"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/6530331a63adef3b3443a1fab53a0e6e"},"description":"\u672c\u6307\u5357\u8be6\u7ec6\u8bb2\u89e3Python\u4e2d\u5411\u6570\u7ec4\uff08\u5217\u8868\u3001Numpy\u6570\u7ec4\u3001Pandas Series\/DataFrame\uff09\u6dfb\u52a0\u5143\u7d20\u7684\u591a\u79cd\u9ad8\u6548\u65b9\u6cd5\uff0c\u5305\u62ecappend\u3001insert\u3001extend\u3001concatenate\u7b49\uff0c\u52a9\u60a8\u8f7b\u677e\u638c\u63e1\u6570\u636e\u64cd\u4f5c\u6280\u5de7\uff0c\u63d0\u5347\u7f16\u7a0b\u6548\u7387\u3002","breadcrumb":{"@id":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/www.silicloud.com\/zh\/blog\/"},{"@type":"ListItem","position":2,"name":"Python\u6570\u7ec4\u5143\u7d20\u6dfb\u52a0\u6307\u5357\uff1a\u5217\u8868\u3001Numpy\u4e0ePandas\u9ad8\u6548\u64cd\u4f5c"}]},{"@type":"WebSite","@id":"https:\/\/www.silicloud.com\/zh\/blog\/#website","url":"https:\/\/www.silicloud.com\/zh\/blog\/","name":"Blog - Silicon Cloud","description":"","inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/6530331a63adef3b3443a1fab53a0e6e","name":"\u97f5, \u79d1","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/429ccb39b3fff5188bc17986222cfb0936cbadb8cc933cff04ab5ca01bd30a08?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/429ccb39b3fff5188bc17986222cfb0936cbadb8cc933cff04ab5ca01bd30a08?s=96&d=mm&r=g","caption":"\u97f5, \u79d1"},"url":"https:\/\/www.silicloud.com\/zh\/blog\/author\/yunke\/"},{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e5%90%91%e6%95%b0%e7%bb%84%e4%b8%ad%e6%b7%bb%e5%8a%a0%e5%85%83%e7%b4%a0\/#local-main-organization-logo","url":"","contentUrl":"","caption":"Blog - Silicon Cloud"}]}},"_links":{"self":[{"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/posts\/24","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/comments?post=24"}],"version-history":[{"count":4,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/posts\/24\/revisions"}],"predecessor-version":[{"id":109475,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/posts\/24\/revisions\/109475"}],"wp:attachment":[{"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/media?parent=24"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/categories?post=24"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/tags?post=24"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}