{"id":39,"date":"2022-08-29T14:45:59","date_gmt":"2022-12-23T20:56:05","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/index.php\/2023\/11\/30\/python%e3%81%a7%e9%85%8d%e5%88%97%e3%81%ab%e8%a6%81%e7%b4%a0%e3%82%92%e8%bf%bd%e5%8a%a0%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95\/"},"modified":"2025-07-31T13:35:39","modified_gmt":"2025-07-31T04:35:39","slug":"python%e3%81%a7%e9%85%8d%e5%88%97%e3%81%ab%e8%a6%81%e7%b4%a0%e3%82%92%e8%bf%bd%e5%8a%a0%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/python%e3%81%a7%e9%85%8d%e5%88%97%e3%81%ab%e8%a6%81%e7%b4%a0%e3%82%92%e8%bf%bd%e5%8a%a0%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95\/","title":{"rendered":"Python\u3067\u914d\u5217\u306b\u8981\u7d20\u3092\u8ffd\u52a0\u306e\u65b9\u6cd5"},"content":{"rendered":"

\u4ee5\u4e0b\u306b\u65e5\u672c\u8a9e\u3067\u81ea\u7136\u306a\u8868\u73fe\u3067\u8a00\u3044\u63db\u3048\u3066\u304f\u3060\u3055\u3044\u30021\u3064\u306e\u30aa\u30d7\u30b7\u30e7\u30f3\u3060\u3051\u3067\u304b\u307e\u3044\u307e\u305b\u3093\u3002<\/h3>\n

\u30a4\u30f3\u30c8\u30ed\u30c0\u30af\u30b7\u30e7\u30f3<\/p>\n

Python\u306b\u306f\u7d44\u307f\u8fbc\u307f\u306e\u914d\u5217\u30c7\u30fc\u30bf\u578b\u304c\u3042\u308a\u307e\u305b\u3093\u304c\u3001\u914d\u5217\u3092\u6271\u3046\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u30e2\u30b8\u30e5\u30fc\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u914d\u5217\u3068NumPy\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u306b\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u914d\u5217\u30e2\u30b8\u30e5\u30fc\u30eb\u306f\u3001\u6574\u6570\u3084\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306e\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u5834\u5408\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002NumPy\u30e2\u30b8\u30e5\u30fc\u30eb\u306f\u3001\u914d\u5217\u4e0a\u3067\u6570\u5b66\u7684\u306a\u64cd\u4f5c\u3092\u884c\u3046\u5fc5\u8981\u304c\u3042\u308b\u5834\u5408\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n

\u591a\u304f\u306e\u5834\u5408\u3001List\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002List\u306f\u6df7\u5408\u30c7\u30fc\u30bf\u578b\u306a\u3069\u306e\u67d4\u8edf\u6027\u3092\u63d0\u4f9b\u3057\u3001\u305d\u308c\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u914d\u5217\u306e\u7279\u6027\u3092\u5168\u3066\u3082\u3063\u3066\u3044\u307e\u3059\u3002Python\u3067\u30ea\u30b9\u30c8\u306b\u3064\u3044\u3066\u3082\u3063\u3068\u5b66\u3073\u307e\u3057\u3087\u3046\u3002<\/p>\n

\n

Note<\/p>\n

\u6ce8\u610f\uff1a\u914d\u5217\u306b\u306f\u540c\u3058\u30c7\u30fc\u30bf\u578b\u306e\u8981\u7d20\u3057\u304b\u8ffd\u52a0\u3067\u304d\u307e\u305b\u3093\u3002\u540c\u69d8\u306b\u3001\u540c\u3058\u30c7\u30fc\u30bf\u578b\u306e\u914d\u5217\u540c\u58eb\u3057\u304b\u7d50\u5408\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002<\/div>\n<\/div>\n

\u914d\u5217\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u4f7f\u7528\u3057\u3066\u8981\u7d20\u3092\u8ffd\u52a0\u3059\u308b<\/h2>\n

array\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u4f7f\u3046\u3068\u3001\u914d\u5217\u3092+\u6f14\u7b97\u5b50\u3067\u9023\u7d50\u3057\u305f\u308a\u3001append()\u3001extend()\u3001insert()\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u3063\u3066\u8981\u7d20\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

\n
\n\n\n\n\n\n\n\n\n
Syntax<\/th>\nDescription<\/th>\n<\/tr>\n<\/thead>\n
+<\/code> operator, x + y<\/code><\/td>\nReturns a new array with the elements from two arrays.<\/td>\n<\/tr>\n
append(x)<\/code><\/td>\nAdds a single element to the end of the array.<\/td>\n<\/tr>\n
extend(iterable)<\/code><\/td>\nAdds a list, array, or other iterable to the end of array.<\/td>\n<\/tr>\n
insert(i, x)<\/code><\/td>\nInserts an element before the given index of the array.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

\u4ee5\u4e0b\u306e\u4f8b\u3067\u306f\u30012\u3064\u306e\u914d\u5217\u3092\u7d50\u5408\u3057\u3066\u65b0\u3057\u3044\u914d\u5217\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u304c\u793a\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

import<\/span> array\r\n\r\n# create array objects, of type integer<\/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# print the arrays<\/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# create a new array that contains all of the elements of both arrays <\/span>\r\n# and print the result<\/span>\r\narr3 =<\/span> arr1 +<\/span> arr2\r\nprint<\/span>(<\/span>\"After arr3 = arr1 + arr2, arr3 is:\"<\/span>,<\/span> arr3)<\/span>\r\n<\/code><\/pre>\n
\u51fa\u529b\u306f\u6b21\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n
<\/code><\/pre>\n
Output<\/div>\n
<\/code><\/pre>\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])<\/p>\n
<\/code><\/pre>\n
\u524d\u306e\u4f8b\u3067\u306f\u3001\u4e0e\u3048\u3089\u308c\u305f\u914d\u5217\u306e\u3059\u3079\u3066\u306e\u8981\u7d20\u3092\u542b\u3080\u65b0\u3057\u3044\u914d\u5217\u304c\u4f5c\u6210\u3055\u308c\u307e\u3059\u3002<\/p>\n
\u4ee5\u4e0b\u306e\u4f8b\u306f\u3001append()\u3001extend()\u3001\u305d\u3057\u3066insert()\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u306b\u8981\u7d20\u3092\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
import<\/span> array\r\n\r\n# create array objects, of type integer<\/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# print the arrays<\/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# append an integer to an array and print the result<\/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# extend an array by appending another array of the same type <\/span>\r\n# and print the result<\/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# insert an integer before index position 0 and print the result<\/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
\u51fa\u529b\u306f\uff1a<\/p>\n
<\/code><\/pre>\n
Output<\/div>\n
<\/code><\/pre>\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])<\/p>\n
<\/code><\/pre>\n
\u524d\u306e\u4f8b\u3067\u306f\u3001\u5404\u30e1\u30bd\u30c3\u30c9\u304carr1\u914d\u5217\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u4e0a\u3067\u547c\u3073\u51fa\u3055\u308c\u3001\u5143\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u4fee\u6b63\u3055\u308c\u307e\u3059\u3002<\/p>\n
NumPy\u914d\u5217\u3078\u306e\u8981\u7d20\u306e\u8ffd\u52a0\u3092\u884c\u3046<\/h2>\n
NumPy\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001NumPy\u306eappend()\u304a\u3088\u3073insert()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u914d\u5217\u306b\u8981\u7d20\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
\n\n\n\n\n\n\n
Syntax<\/th>\nDescription<\/th>\n<\/tr>\n<\/thead>\n
numpy.append(arr, values, axis=None)<\/code><\/td>\nAppends the values or array to the end of a copy of arr<\/code>. If the axis is not provided, then default is None<\/code>, which means both arr<\/code> and values<\/code> are flattened before the append operation.<\/td>\n<\/tr>\n
numpy.insert(arr, obj, values, axis=None)<\/code><\/td>\nInserts the values or array before the index (obj<\/code>) along the axis. If the axis is not provided, then the default is None<\/code>, which means that only arr<\/code> is flattened before the insert operation.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
numpy.append()\u95a2\u6570\u306f\u3001\u80cc\u5f8c\u3067numpy.concatenate()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002numpy.concatenate()\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u65e2\u5b58\u306e\u8ef8\u306b\u6cbf\u3063\u3066\u914d\u5217\u306e\u30b7\u30fc\u30b1\u30f3\u30b9\u3092\u7d50\u5408\u3067\u304d\u307e\u3059\u3002NumPy\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3067\u914d\u5217\u64cd\u4f5c\u306e\u30eb\u30fc\u30c1\u30f3\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u5b66\u3073\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
Note<\/p>\n
\u6ce8\u610f\uff1a\u3053\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u306e\u4f8b\u30b3\u30fc\u30c9\u3092\u30c6\u30b9\u30c8\u3059\u308b\u305f\u3081\u306b\u306f\u3001NumPy\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/div>\n<\/div>\n
\u3053\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u306e\u4f8b\u3067\u306f\u30012\u6b21\u5143\uff082D\uff09\u914d\u5217\u3092\u4f7f\u7528\u3057\u3066\u3001\u95a2\u6570\u304c\u63d0\u4f9b\u3055\u308c\u308b\u8ef8\u5024\u306b\u57fa\u3065\u3044\u3066\u914d\u5217\u3092\u64cd\u4f5c\u3059\u308b\u65b9\u6cd5\u3092\u5f37\u8abf\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
numpy.append()\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u306b\u8ffd\u52a0\u3059\u308b\u3002<\/h3>\n
NumPy\u306e\u914d\u5217\u306f\u3001\u6b21\u5143\u3068\u5f62\u72b6\u3067\u8868\u3055\u308c\u307e\u3059\u3002\u591a\u6b21\u5143\u914d\u5217\u306b\u5024\u3084\u914d\u5217\u3092\u8ffd\u52a0\u3059\u308b\u969b\u306b\u306f\u3001\u8ffd\u52a0\u3055\u308c\u308b\u914d\u5217\u3084\u5024\u306f\u540c\u3058\u5f62\u72b6\u3067\u3042\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff08\u6307\u5b9a\u3055\u308c\u305f\u8ef8\u3092\u9664\u304f\uff09\u3002<\/p>\n
2D\u914d\u5217\u306e\u5f62\u3092\u7406\u89e3\u3059\u308b\u306b\u306f\u3001\u884c\u3068\u5217\u3092\u8003\u3048\u3066\u304f\u3060\u3055\u3044\u3002array([[1, 2], [3, 4]])\u306f2\u884c2\u5217\u3068\u7b49\u3057\u30442, 2\u306e\u5f62\u3092\u6301\u3061\u307e\u3059\u3002\u4e00\u65b9\u3001array([[10, 20, 30], [40, 50, 60]])\u306f2\u884c3\u5217\u3068\u7b49\u3057\u30442, 3\u306e\u5f62\u3092\u6301\u3061\u307e\u3059\u3002<\/p>\n
Python\u306e\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u30b3\u30f3\u30bd\u30fc\u30eb\u3092\u4f7f\u7528\u3057\u3066\u3001\u3053\u306e\u30b3\u30f3\u30bb\u30d7\u30c8\u3092\u30c6\u30b9\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\u6700\u521d\u306bNumPy\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u3001\u305d\u306e\u5f8c\u3001\u3044\u304f\u3064\u304b\u306e\u914d\u5217\u3092\u4f5c\u6210\u3057\u3066\u305d\u306e\u5f62\u72b6\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
NumPy\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u305f\u5f8c\u3001np_arr1\u3092\u4f5c\u6210\u3057\u3001\u8868\u793a\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
<\/code><\/pre>\n
    \n
  1. import<\/span> numpy as np<\/li>\n
  2. np_arr1 =<\/span> np.array(<\/span>[<\/span>[<\/span>1<\/span>, 2<\/span>]<\/span>, [<\/span>3<\/span>, 4<\/span>]<\/span>]<\/span>)<\/span><\/li>\n
  3. print(<\/span>np_arr1)<\/span><\/li>\n<\/ol>\n
    <\/code><\/pre>\n
     <\/p>\n
    <\/code><\/pre>\n
    <\/code><\/pre>\n
    Output<\/div>\n
    <\/code><\/pre>\n
    [[1 2] [3 4]]<\/p>\n
    <\/code><\/pre>\n
    np_arr1\u306e\u5f62\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
    <\/code><\/pre>\n
      \n
    1. np_arr1.shape<\/li>\n<\/ol>\n
      <\/code><\/pre>\n
       <\/p>\n
      <\/code><\/pre>\n
      <\/code><\/pre>\n
      Output<\/div>\n
      <\/code><\/pre>\n
      (2, 2)<\/p>\n
      <\/code><\/pre>\n
      \u5225\u306e\u914d\u5217 np_arr2 \u3092\u4f5c\u6210\u3057\u3001\u5370\u5237\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
      <\/code><\/pre>\n
        \n
      1. 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. print(<\/span>np_arr2)<\/span><\/li>\n<\/ol>\n
        <\/code><\/pre>\n
         <\/p>\n
        <\/code><\/pre>\n
        <\/code><\/pre>\n
        Output<\/div>\n
        <\/code><\/pre>\n
        [[10 20 30] [40 50 60]]<\/p>\n
        <\/code><\/pre>\n
        np_arr2\u306e\u5f62\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
        <\/code><\/pre>\n
          \n
        1. np_arr2.shape<\/li>\n<\/ol>\n
          <\/code><\/pre>\n
           <\/p>\n
          <\/code><\/pre>\n
          <\/code><\/pre>\n
          Output<\/div>\n
          <\/code><\/pre>\n
          (2, 3)<\/p>\n
          <\/code><\/pre>\n
          \u7570\u306a\u308b\u8ef8\u306b\u6cbf\u3063\u3066\u914d\u5217\u3092\u8ffd\u52a0\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002 2\u884c3\u5217\u306e\u5f62\u72b6\u3092\u6301\u3064\u914d\u5217\u3092\u30011\u8ef8\u76ee\u306b\u6cbf\u3063\u30662\u884c2\u5217\u306e\u5f62\u72b6\u3092\u6301\u3064\u914d\u5217\u306b\u8ffd\u52a0\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u3059\u304c\u30010\u8ef8\u76ee\u306b\u306f\u8ffd\u52a0\u3067\u304d\u307e\u305b\u3093\u3002<\/p>\n
          np_arr1\u3068np_arr2\u3092\u8ef80\u306b\u6cbf\u3063\u3066\u9023\u7d50\u3057\u3001\u884c\u65b9\u5411\u306b\u8ffd\u52a0\u3059\u308b\u3002<\/p>\n
          <\/code><\/pre>\n
            \n
          1. np.append(<\/span>np_arr1, np_arr2, axis<\/span>=<\/span>0<\/span>)<\/span><\/li>\n<\/ol>\n
            <\/code><\/pre>\n
             <\/p>\n
            <\/code><\/pre>\n
            \u5024\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3059\u3002<\/p>\n
            <\/code><\/pre>\n
            Output<\/div>\n
            <\/code><\/pre>\n
            Traceback (most recent call last): File “<stdin>”, line 1, in <module> File “<__array_function__ internals>”, line 5, in append File “\/Users\/digitalocean\/opt\/anaconda3\/lib\/python3.9\/site-packages\/numpy\/lib\/function_base.py”, line 4817, in append return concatenate((arr, values), axis=axis) File “<__array_function__ internals>”, line 5, in concatenate 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
            3\u5217\u5e45\u306e\u884c\u3092\u6301\u3064\u914d\u5217\u3092\u30012\u5217\u5e45\u306e\u884c\u3092\u6301\u3064\u914d\u5217\u306b\u8ffd\u52a0\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002<\/p>\n
            np_arr1\u3068np_arr2\u3092\u8ef81\u306b\u6cbf\u3063\u3066\u8ffd\u52a0\u3059\u308b\u304b\u3001\u5217\u306b\u3088\u3063\u3066\u8ffd\u52a0\u3059\u308b\u3002<\/p>\n
            <\/code><\/pre>\n
              \n
            1. np.append(<\/span>np_arr1, np_arr2, axis<\/span>=<\/span>1<\/span>)<\/span><\/li>\n<\/ol>\n
              <\/code><\/pre>\n
               <\/p>\n
              <\/code><\/pre>\n
              \u51fa\u529b\u306f\u6b21\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\uff1a<\/p>\n
              <\/code><\/pre>\n
              Output<\/div>\n
              <\/code><\/pre>\n
              array([[ 1, 2, 10, 20, 30], [ 3, 4, 40, 50, 60]])<\/p>\n
              <\/code><\/pre>\n
              2\u884c\u306e\u9ad8\u3055\u3092\u6301\u3064\u5217\u3092\u6301\u3064\u914d\u5217\u306b\u30012\u884c\u306e\u9ad8\u3055\u3092\u6301\u3064\u5217\u3092\u3082\u30461\u3064\u8ffd\u52a0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
              \u4ee5\u4e0b\u306e\u4f8b\u306f\u3001numpy.append()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066NumPy\u914d\u5217\u306b\u8981\u7d20\u3092\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
              import<\/span> numpy as<\/span> np\r\n\r\n# create 2D array objects (integers)<\/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# print the arrays<\/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# append an array to the end of another array and print the result<\/span>\r\n# both arrays are flattened before appending<\/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 is:\\n\"<\/span>,<\/span> append_axis_none)<\/span>\r\n\r\n# append an array to the end of another array along axis 0 (append rows)<\/span>\r\n# and print the result<\/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 is:\\n\"<\/span>,<\/span> append_axis_0)<\/span>\r\n\r\n# append an array to the end of another array along axis 1 (append columns)<\/span>\r\n# and print the result<\/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 is:\\n\"<\/span>,<\/span> append_axis_1)<\/span>\r\n<\/code><\/pre>\n
              \u51fa\u529b\u306f\uff1a<\/p>\n
              <\/code><\/pre>\n
              Output<\/div>\n
              <\/code><\/pre>\n
              np_arr1 is: [[1 2] [3 4]] np_arr2 is: [[10 20] [30 40]] append_axis_none is: [ 1 2 3 4 10 20 30 40] append_axis_0 is: [[ 1 2] [ 3 4] [10 20] [30 40]] append_axis_1 is: [[ 1 2 10 20] [ 3 4 30 40]]<\/p>\n
              <\/code><\/pre>\n
              \u524d\u306e\u4f8b\u306f\u3001numpy.append()\u95a2\u6570\u304c2\u6b21\u5143\u914d\u5217\u306e\u5404\u8ef8\u306b\u5bfe\u3057\u3066\u3069\u306e\u3088\u3046\u306b\u6a5f\u80fd\u3057\u3001\u7d50\u679c\u306e\u914d\u5217\u306e\u5f62\u304c\u3069\u306e\u3088\u3046\u306b\u5909\u5316\u3059\u308b\u304b\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u8ef8\u304c0\u306e\u5834\u5408\u3001\u914d\u5217\u306f\u884c\u3054\u3068\u306b\u8ffd\u52a0\u3055\u308c\u307e\u3059\u3002\u8ef8\u304c1\u306e\u5834\u5408\u3001\u914d\u5217\u306f\u5217\u3054\u3068\u306b\u8ffd\u52a0\u3055\u308c\u307e\u3059\u3002<\/p>\n
              numpy.insert\uff08\uff09\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u306b\u8ffd\u52a0\u3059\u308b<\/h3>\n
              numpy.insert()\u95a2\u6570\u306f\u3001\u4e0e\u3048\u3089\u308c\u305f\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u524d\u306b\u3001\u5225\u306e\u914d\u5217\u307e\u305f\u306f\u5024\u3092\u6307\u5b9a\u3055\u308c\u305f\u8ef8\u306b\u6cbf\u3063\u3066\u633f\u5165\u3057\u3001\u65b0\u3057\u3044\u914d\u5217\u3092\u8fd4\u3057\u307e\u3059\u3002<\/p>\n
              numpy.append()\u95a2\u6570\u3068\u306f\u7570\u306a\u308a\u3001axis\u304c\u6307\u5b9a\u3055\u308c\u3066\u3044\u306a\u3044\u5834\u5408\u3084None\u3067\u6307\u5b9a\u3055\u308c\u305f\u5834\u5408\u3001numpy.insert()\u95a2\u6570\u306f\u6700\u521d\u306e\u914d\u5217\u306e\u307f\u3092\u30d5\u30e9\u30c3\u30c8\u5316\u3057\u3001\u633f\u5165\u3059\u308b\u5024\u3084\u914d\u5217\u81ea\u4f53\u3092\u30d5\u30e9\u30c3\u30c8\u5316\u3057\u307e\u305b\u3093\u3002axis\u3092\u6307\u5b9a\u305b\u305a\u306b2\u6b21\u5143\u914d\u5217\u30922\u6b21\u5143\u914d\u5217\u306b\u633f\u5165\u3057\u3088\u3046\u3068\u3059\u308b\u3068\u3001ValueError\u304c\u767a\u751f\u3057\u307e\u3059\u3002<\/p>\n
              \u6b21\u306e\u4f8b\u306f\u3001numpy.insert()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u8981\u7d20\u3092\u914d\u5217\u306b\u633f\u5165\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
              import<\/span> numpy as<\/span> np\r\n\r\n# create array objects (integers)<\/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> [<\/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# print the arrays<\/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\nprint<\/span>(<\/span>\"np_arr3 is:\\n\"<\/span>,<\/span> np_arr3)<\/span>\r\n\r\n# insert a 1D array into a 2D array and then print the result<\/span>\r\n# the original array is flattened before insertion<\/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 is:\\n\"<\/span>,<\/span> insert_axis_none)<\/span>\r\n\r\n# insert an array into another array by row<\/span>\r\n# and print the result<\/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 is:\\n\"<\/span>,<\/span> insert_axis_0)<\/span>\r\n\r\n# insert an array into another array by column<\/span>\r\n# and print the result<\/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 is:\\n\"<\/span>,<\/span> insert_axis_1)<\/span>\r\n<\/code><\/pre>\n
              \u51fa\u529b\u306f\u6b21\u306e\u901a\u308a\u3067\u3059:<\/p>\n
              <\/code><\/pre>\n
              Output<\/div>\n
              <\/code><\/pre>\n
              np_arr1 is: [[1 2] [4 5]] np_arr2 is: [[10 20] [30 40]] insert_axis_none is: [ 1 100 200 300 2 4 5] insert_axis_0 is: [[ 1 2] [10 20] [30 40] [ 4 5]] insert_axis_1 is: [[ 1 10 30 2] [ 4 20 40 5]]<\/p>\n
              <\/code><\/pre>\n
              \u524d\u306e\u4f8b\u3067\u306f\u30012D\u914d\u5217\u3092\u5225\u306e2D\u914d\u5217\u306b\u8ef81\u306b\u6cbf\u3063\u3066\u633f\u5165\u3059\u308b\u5834\u5408\u3001np_arr2\u5185\u306e\u5404\u914d\u5217\u306f\u500b\u5225\u306e\u5217\u3068\u3057\u3066np_arr1\u306b\u633f\u5165\u3055\u308c\u307e\u3059\u3002\u3082\u3057\u3001\u5168\u4f53\u306e2D\u914d\u5217\u3092\u5225\u306e2D\u914d\u5217\u306b\u633f\u5165\u3057\u305f\u3044\u5834\u5408\u306f\u3001obj\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5024\u306e\u5468\u308a\u306b\u89d2\u62ec\u5f27\u3092\u542b\u3081\u3066\u3001\u305d\u306e\u4f4d\u7f6e\u306e\u524d\u306b\u5168\u4f53\u306e\u914d\u5217\u304c\u633f\u5165\u3055\u308c\u308b\u3088\u3046\u306b\u793a\u3059\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u89d2\u62ec\u5f27\u3092\u4f7f\u7528\u305b\u305a\u306bnumpy.insert()\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u4e0e\u3048\u3089\u308c\u305f\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u524d\u306b\u5217\u3068\u3057\u3066\u914d\u5217\u304c\u9806\u756a\u306b\u7a4d\u307f\u91cd\u306d\u3089\u308c\u307e\u3059\u3002<\/p>\n
              \u4ee5\u4e0b\u306e\u4f8b\u3067\u306f\u3001obj\uff08index\uff09\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u5468\u308a\u306b\u89d2\u62ec\u5f27\u304c\u3042\u308b\u5834\u5408\u3068\u306a\u3044\u5834\u5408\u306e\u51fa\u529b\u304c\u793a\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
              import<\/span> numpy as<\/span> np\r\n\r\n# create 2D array objects (integers)<\/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# print the arrays<\/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# insert an array, column by column, into another array<\/span>\r\n# and print the result<\/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# insert a whole array into another array by column<\/span>\r\n# and print the result<\/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
              \u51fa\u529b\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059:<\/p>\n
              <\/code><\/pre>\n
              Output<\/div>\n
              <\/code><\/pre>\n
              np_arr1 is: [[1 2] [3 4]] np_arr2 is: [[10 20] [30 40]] insert_axis_1 is: [[ 1 10 30 2] [ 3 20 40 4]] insert_index_axis_1 is: [[ 1 10 20 2] [ 3 30 40 4]]<\/p>\n
              <\/code><\/pre>\n
              \u524d\u306e\u4f8b\u306f\u3001numpy.insert()\u304c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u8868\u8a18\u306b\u57fa\u3065\u3044\u3066\u914d\u5217\u306b\u5217\u3092\u633f\u5165\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
              \u7d50\u8ad6<\/h2>\n
              \u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u914d\u5217\u3068NumPy\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u4f7f\u7528\u3057\u3066\u8981\u7d20\u3092\u914d\u5217\u306b\u8ffd\u52a0\u3057\u307e\u3057\u305f\u3002NumPy\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3084Python\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u3055\u3089\u306b\u5b66\u7fd2\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
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