import numpy as np print(np.__version__) <\/code>\u3002<\/li>\n<\/ol>\n\n\n\nNumpy \u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3068\u74b0\u5883\u8a2d\u5b9a\u304c\u5b8c\u4e86\u3057\u305f\u306e\u3067\u3001Numpy \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u6570\u5024\u8a08\u7b97\u3068\u30c7\u30fc\u30bf\u51e6\u7406\u30bf\u30b9\u30af\u3092\u958b\u59cb\u3067\u304d\u307e\u3059\u3002\u5b9f\u969b\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u306f\u3001SciPy\u3001Pandas\u3001Matplotlib \u306a\u3069\u306e\u4ed6\u306e Python \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u69cb\u6210\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u5834\u5408\u3082\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u30d7\u30ed\u30bb\u30b9\u306f\u3001Numpy \u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u306e\u3068\u4f3c\u3066\u3044\u307e\u3059\u3002pip install<\/code>\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3059\u308b\u3060\u3051\u3067\u3059\u3002<\/p>\n\n\n\nNumpy \u914d\u5217\u306e\u4f5c\u6210\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
Numpy \u306b\u306f\u3001\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u3055\u307e\u3056\u307e\u306a\u30e1\u30bd\u30c3\u30c9\u304c\u7528\u610f\u3055\u308c\u3066\u3044\u307e\u3059\u3002Numpy \u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u3092\u6b21\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\nPython \u30ea\u30b9\u30c8\u307e\u305f\u306f\u30bf\u30d7\u30eb\u304b\u3089\u306e\u4f5c\u6210:numpy.array()<\/code>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001Python \u30ea\u30b9\u30c8 (\u30ea\u30b9\u30c8) \u307e\u305f\u306f\u30bf\u30d7\u30eb (\u30bf\u30d7\u30eb) \u3092 Numpy \u914d\u5217\u306b\u5909\u63db\u3067\u304d\u307e\u3059\u3002\u4f8b: pythonCopy codeimport numpy as np # \u4ece\u5217\u8868\u521b\u5efa\u4e00\u7ef4\u6570\u7ec4 arr1 = np.array([1, 2, 3, 4]) print(arr1) # \u4ece\u5d4c\u5957\u5217\u8868\u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4 arr2 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) print(arr2)<\/code><\/li>\n\n\n\n\u7d44\u307f\u8fbc\u307f\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u4f5c\u6210: Numpy \u306b\u306f\u3001\u7279\u5b9a\u306e\u5f62\u72b6\u3068\u5024\u3092\u6301\u3064\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u7d44\u307f\u8fbc\u307f\u95a2\u6570\u304c\u3044\u304f\u3064\u304b\u7528\u610f\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u4f8b\u3048\u3070\uff1a\u3059\u3079\u3066\u30bc\u30ed\u306e\u914d\u5217:numpy.zeros(shape)<\/code><\/li>\u3059\u3079\u3066 1 \u306e\u914d\u5217:numpy.ones(shape)<\/code><\/li>\u6052\u7b49\u30de\u30c8\u30ea\u30c3\u30af\u30b9:numpy.eye(N)<\/code><\/li>\u521d\u671f\u5316\u3055\u308c\u3066\u3044\u306a\u3044\u914d\u5217:numpy.empty(shape)<\/code><\/li><\/ul>\u305d\u306e\u4e2d\u306b\u306f\u3001shape<\/code>\u914d\u5217\u306e\u5f62\u72b6\u3092\u8868\u3059\u6574\u6570\u30bf\u30d7\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001(3, 3)<\/code>3\u00d73 \u884c\u5217\u3092\u8868\u3057\u307e\u3059\u3002N<\/code>\u5358\u4f4d\u884c\u5217\u306e\u30b5\u30a4\u30ba\u3092\u793a\u3057\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np zeros_array = np.zeros((2, 3)) print(zeros_array) ones_array = np.ones((3, 3)) print(ones_array) eye_array = np.eye(3) print(eye_array) empty_array = np.empty((2, 2)) print(empty_array)<\/code><\/li>\n\n\n\n\u5024\u306e\u7bc4\u56f2\u3067\u4f5c\u6210: Numpy \u306f\u3001\u6307\u5b9a\u3055\u308c\u305f\u5024\u306e\u7bc4\u56f2\u304b\u3089\u7b49\u9593\u9694\u306e\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u6b21\u306e\u95a2\u6570\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002numpy.arange(start, stop, step)<\/code>:start<\/code>\u958b\u59cb (\u542b\u3080)\u304b\u3089stop<\/code>\u7d42\u4e86 (\u542b\u307e\u306a\u3044) \u307e\u3067step<\/code>\u3001\u7b49\u9593\u9694\u306e\u9593\u9694\u306e\u914d\u5217\u3002<\/li>numpy.linspace(start, stop, num)<\/code>:start<\/code>\u3068stop<\/code>(\u4e21\u7aef\u3092\u542b\u3080) \u306e\u9593\u3067\u3001num<\/code>\u7b49\u9593\u9694\u306e\u914d\u5217\u8981\u7d20\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/li><\/ul>python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arange_array = np.arange(0, 10, 2) print(arange_array) linspace_array = np.linspace(0, 1, 5) print(linspace_array)<\/code><\/li>\n\n\n\n\u30e9\u30f3\u30c0\u30e0\u914d\u5217\u306e\u4f5c\u6210: Numpy \u306erandom<\/code>\u30e2\u30b8\u30e5\u30fc\u30eb\u306f\u3001\u30e9\u30f3\u30c0\u30e0\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u95a2\u6570\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u4f8b\u3048\u3070\uff1a\u4e00\u69d8\u5206\u5e03\u306e\u4e71\u6570\u914d\u5217: numpy.random.rand(shape)<\/code>,numpy.random.uniform(low, high, size)<\/code><\/li>\u6b63\u898f\u5206\u5e03\u306e\u4e71\u6570\u914d\u5217: numpy.random.randn(shape)<\/code>,numpy.random.normal(loc, scale, size)<\/code><\/li><\/ul>\u3053\u306e\u3046\u3061\u3001 \u306fshape<\/code>\u914d\u5217\u306e\u5f62\u72b6\u3092\u8868\u3057\u3001low<\/code>\u4e71\u6570high<\/code>\u306e\u4e0a\u9650\u3068\u4e0b\u9650\u3092\u8868\u3057\u3001size<\/code>\u914d\u5217\u306e\u30b5\u30a4\u30ba\u3092\u8868\u3057\u3001loc<\/code>\u6b63\u898f\u5206\u5e03\u306e\u5e73\u5747\u3092\u8868\u3057\u3001scale<\/code>\u6b63\u898f\u5206\u5e03\u306e\u6a19\u6e96\u504f\u5dee\u3092\u8868\u3057\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np rand_array = np.random.rand(2, 3) print(rand_array) uniform<\/code><\/li>\n<\/ol>\n\n\n\n\u7d9a\u3051\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
\u30e9\u30f3\u30c0\u30e0\u914d\u5217 (\u7d9a\u304d):<\/p>\n\n\n\n
python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np\n\nuniform_array = np.random.uniform(-1, 1, (2, 3))\nprint(uniform_array)\n\nrandn_array = np.random.randn(2, 3)\nprint(randn_array)\n\nnormal_array = np.random.normal(0, 1, (2, 3))\nprint(normal_array)\n<\/code><\/pre>\n\n\n\n\u4e0a\u8a18\u306f\u3001Numpy \u3067\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u3067\u3059\u3002\u5b9f\u969b\u306e\u30cb\u30fc\u30ba\u306b\u5fdc\u3058\u3066\u3001\u5fc5\u8981\u306a\u30a2\u30ec\u30a4\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u9069\u5207\u306a\u65b9\u6cd5\u3092\u9078\u629e\u3067\u304d\u307e\u3059\u3002\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u3068\u304d\u3001dtype<\/code>\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b\u3092\u6307\u5b9a\u3067\u304d\u307e\u3059 (\u4f8bint32<\/code>: \u3001float64<\/code>\u306a\u3069)\u3002\u6307\u5b9a\u3055\u308c\u3066\u3044\u306a\u3044\u5834\u5408dtype<\/code>\u3001Numpy \u306f\u5165\u529b\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u9069\u5207\u306a\u30c7\u30fc\u30bf\u578b\u3092\u81ea\u52d5\u7684\u306b\u9078\u629e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n\u4f8b\u3048\u3070\uff1a<\/p>\n\n\n\n
python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np\n\narr_int = np.array([1, 2, 3, 4], dtype=np.int32)\nprint(arr_int)\n\narr_float = np.array([1.1, 2.2, 3.3], dtype=np.float64)\nprint(arr_float)\n<\/code><\/pre>\n\n\n\n\u3053\u308c\u3089\u306e Numpy \u914d\u5217\u306e\u4f5c\u6210\u65b9\u6cd5\u3092\u7406\u89e3\u3059\u308b\u3068\u3001\u5b9f\u969b\u306e\u30cb\u30fc\u30ba\u306b\u5fdc\u3058\u3066\u3001\u3055\u307e\u3056\u307e\u306a\u5f62\u72b6\u3001\u30c7\u30fc\u30bf\u578b\u3001\u304a\u3088\u3073\u521d\u671f\u5024\u306e\u914d\u5217\u3092\u67d4\u8edf\u306b\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n\u914d\u5217\u306e\u6027\u8cea\u3092\u8a73\u3057\u304f\u6559\u3048\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
Numpy \u914d\u5217 (ndarray) \u306b\u306f\u3001\u914d\u5217\u306e\u5f62\u72b6\u3001\u30b5\u30a4\u30ba\u3001\u30c7\u30fc\u30bf\u578b\u3001\u304a\u3088\u3073\u305d\u306e\u4ed6\u306e\u7279\u6027\u3092\u8a18\u8ff0\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u3044\u304f\u3064\u304b\u306e\u5c5e\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u4ee5\u4e0b\u306f\u3001\u3088\u304f\u4f7f\u7528\u3055\u308c\u308b\u914d\u5217\u30d7\u30ed\u30d1\u30c6\u30a3\u306e\u4e00\u90e8\u3067\u3059\u3002<\/p>\n\n\n\n
\nndim<\/code>: \u914d\u5217\u306e\u6b21\u5143 (\u8ef8) \u306e\u6570\u3092\u793a\u3057\u307e\u3059\u3002ndim<\/code>\u305f\u3068\u3048\u3070\u3001 1\u6b21\u5143\u914d\u5217\u306e\u5834\u5408\u306fndim<\/code>1\u30012 \u6b21\u5143\u914d\u5217\u306e\u5834\u5408\u306f 2 \u3067\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([1, 2, 3, 4]) print(arr1.ndim) # \u8f93\u51fa\uff1a1 arr2 = np.array([[1, 2, 3], [4, 5, 6]]) print(arr2.ndim) # \u8f93\u51fa\uff1a2<\/code><\/li>\n\n\n\nshape<\/code>: \u914d\u5217\u306e\u5f62\u72b6\u3092\u793a\u3057\u3001\u5404\u8ef8\u306e\u30b5\u30a4\u30ba\u3092\u30bf\u30d7\u30eb\u3068\u3057\u3066\u8fd4\u3057\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u30013\u00d74 \u306e 2 \u6b21\u5143\u914d\u5217shape<\/code>\u306f (3, 4) \u3067\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([1, 2, 3, 4]) print(arr1.shape) # \u8f93\u51fa\uff1a(4,) arr2 = np.array([[1, 2, 3], [4, 5, 6]]) print(arr2.shape) # \u8f93\u51fa\uff1a(2, 3)<\/code><\/li>\n\n\n\nsize<\/code>: \u914d\u5217\u5185\u306e\u8981\u7d20\u306e\u7dcf\u6570\u3092\u793a\u3057\u307e\u3059\u3002shape<\/code>\u30bf\u30d7\u30eb\u5185\u306e\u3059\u3079\u3066\u306e\u8981\u7d20\u306e\u7a4d\u306b\u7b49\u3057\u3044\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([1, 2, 3, 4]) print(arr1.size) # \u8f93\u51fa\uff1a4 arr2 = np.array([[1, 2, 3], [4, 5, 6]]) print(arr2.size) # \u8f93\u51fa\uff1a6<\/code><\/li>\n\n\n\ndtype<\/code>: \u914d\u5217\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b\u3092\u793a\u3057\u307e\u3059\u3002int8<\/code>Numpy \u306f\u3001int32<\/code>\u3001 \u3001float64<\/code>\u306a\u3069\u306e\u3055\u307e\u3056\u307e\u306a\u30c7\u30fc\u30bf\u578b\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u3044\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([1, 2, 3, 4], dtype=np.int32) print(arr1.dtype) # \u8f93\u51fa\uff1aint32 arr2 = np.array([1.1, 2.2, 3.3], dtype=np.float64) print(arr2.dtype) # \u8f93\u51fa\uff1afloat64<\/code><\/li>\n\n\n\nitemsize<\/code>: \u914d\u5217\u5185\u306e\u5404\u8981\u7d20\u306e\u30d0\u30a4\u30c8\u6570\u3092\u793a\u3057\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001int32<\/code>type \u306e\u914d\u5217\u8981\u7d20\u306f 4 \u30d0\u30a4\u30c8\u3001float64<\/code>type \u306e\u914d\u5217\u8981\u7d20\u306f 8 \u30d0\u30a4\u30c8\u3067\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([1, 2, 3, 4], dtype=np.int32) print(arr1.itemsize) # \u8f93\u51fa\uff1a4 arr2 = np.array([1.1, 2.2, 3.3], dtype=np.float64) print(arr2.itemsize) # \u8f93\u51fa\uff1a8<\/code><\/li>\n\n\n\nnbytes<\/code>: \u914d\u5217\u306e\u5408\u8a08\u30d0\u30a4\u30c8\u6570\u3092\u793a\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001 \u3092itemsize<\/code>\u639b\u3051\u305f\u3082\u306e\u3068\u540c\u3058\u3067\u3059size<\/code>\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([1, 2, 3, 4], dtype=np.int32) print(arr1.nbytes) # \u8f93\u51fa\uff1a16 arr2 = np.array([1.1,<\/code><\/li>\n<\/ol>\n\n\n\n\u7d9a\u3051\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
2.2, 3.3], dtype=np.float64) print(arr2.nbytes) # \u51fa\u529b: 24<\/p>\n\n\n\n
go\u30b3\u30d4\u30fc\u30b3\u30fc\u30c9\n\u4e86\u89e3\u8fd9\u4e9b\u6570\u7ec4\u5c5e\u6027\u540e\uff0c\u60a8\u53ef\u4ee5\u66f4\u597d\u5730\u4e86\u89e3Numpy\u6570\u7ec4\u7684\u7279\u5f81\uff0c\u5e76\u636e\u6b64\u5bf9\u6570\u7ec4\u8fdb\u884c\u64cd\u4f5c\u548c\u5904\u7406\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u901a\u5e38\u9700\u8981\u6839\u636e\u6570\u7ec4\u7684`shape`\u3001`dtype`\u7b49\u5c5e\u6027\u6765\u9009\u62e9\u5408\u9002\u7684\u7b97\u6cd5\u548c\u64cd\u4f5c\u3002\n\n\u4f8b\u5982\uff0c\u5f53\u5904\u7406\u56fe\u50cf\u6570\u636e\u65f6\uff0c\u6211\u4eec\u9700\u8981\u6839\u636e\u56fe\u50cf\u7684\u5f62\u72b6\uff08\u5bbd\u5ea6\u3001\u9ad8\u5ea6\u548c\u901a\u9053\u6570\uff09\u6765\u786e\u5b9a\u5982\u4f55\u5904\u7406\u548c\u663e\u793a\u56fe\u50cf\u3002\u53c8\u5982\uff0c\u5728\u6570\u503c\u8ba1\u7b97\u4e2d\uff0c\u6211\u4eec\u9700\u8981\u6839\u636e\u6570\u7ec4\u5143\u7d20\u7684\u6570\u636e\u7c7b\u578b\u6765\u9009\u62e9\u5408\u9002\u7684\u8ba1\u7b97\u65b9\u6cd5\uff0c\u4ee5\u9632\u6b62\u6570\u636e\u6ea2\u51fa\u6216\u7cbe\u5ea6\u635f\u5931\u7b49\u95ee\u9898\u3002\n\n\u638c\u63e1\u4e86\u8fd9\u4e9b\u57fa\u672c\u6982\u5ff5\u540e\uff0c\u60a8\u5c06\u80fd\u66f4\u6709\u6548\u5730\u5229\u7528Numpy\u8fdb\u884c\u6570\u7ec4\u64cd\u4f5c\u548c\u6570\u503c\u8ba1\u7b97\u3002\n<\/code><\/pre>\n\n\n\n\u914d\u5217\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3068\u30b9\u30e9\u30a4\u30b9\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
Numpy \u3067\u306f\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3068\u30b9\u30e9\u30a4\u30b9\u3092\u4f7f\u7528\u3057\u3066\u3001\u914d\u5217\u5185\u306e\u8981\u7d20\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3066\u5909\u66f4\u3067\u304d\u307e\u3059\u3002\u914d\u5217\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4ed8\u3051\u3068\u30b9\u30e9\u30a4\u30b9\u306e\u6982\u5ff5\u306f\u3001Python \u306e\u30ea\u30b9\u30c8\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4ed8\u3051\u3068\u30b9\u30e9\u30a4\u30b9\u306b\u4f3c\u3066\u3044\u307e\u3059\u304c\u3001\u591a\u6b21\u5143\u914d\u5217\u3067\u306f\u3088\u308a\u5f37\u529b\u3067\u3059\u3002<\/p>\n\n\n\n
\n\u914d\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9: \u6574\u6570\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u5185\u306e\u8981\u7d20\u306b\u30a2\u30af\u30bb\u30b9\u3057\u307e\u3059\u30021 \u6b21\u5143\u914d\u5217\u306e\u5834\u5408\u3001\u5fc5\u8981\u306a\u6574\u6570\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f 1 \u3064\u3060\u3051\u3067\u3059\u3002\u591a\u6b21\u5143\u914d\u5217\u306e\u5834\u5408\u3001\u30b3\u30f3\u30de\u3067\u533a\u5207\u3089\u308c\u305f\u5404\u8ef8\u306b 1 \u3064\u306e\u6574\u6570\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u304c\u5fc5\u8981\u3067\u3059\u3002pythonCopy \u30b3\u30fc\u30c9\u306f\u3001import numpy as np arr1 = np.array([1, 2, 3, 4]) print(arr1[0]) # \u8f93\u51fa\uff1a1 print(arr1[2]) # \u8f93\u51fa\uff1a3 arr2 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) print(arr2[0, 1]) # \u8f93\u51fa\uff1a2 print(arr2[2, 2]) # \u8f93\u51fa\uff1a9 <\/code>\u8ca0\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u306e\u6700\u5f8c\u306e\u8981\u7d20\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001-1<\/code>\u6700\u5f8c\u306e\u8981\u7d20\u3092\u793a\u3059\u306b\u306f\u3001-2<\/code>\u6700\u5f8c\u304b\u3089 2 \u756a\u76ee\u306e\u8981\u7d20\u3092\u793a\u3057\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([1, 2, 3, 4]) print(arr1[-1]) # \u8f93\u51fa\uff1a4 print(arr1[-2]) # \u8f93\u51fa\uff1a3<\/code><\/li>\n\n\n\n\u914d\u5217\u306e\u30b9\u30e9\u30a4\u30b9: \u30b9\u30e9\u30a4\u30b9\u3092\u4f7f\u7528\u3057\u3066\u3001\u914d\u5217\u5185\u306e\u8981\u7d20\u306e\u9023\u7d9a\u3057\u305f\u7bc4\u56f2\u306b\u30a2\u30af\u30bb\u30b9\u3057\u307e\u3059\u3002\u30b9\u30e9\u30a4\u30b9\u306e\u69cb\u6587\u306f\u3001start:stop:step<\/code>\u30b9\u30e9\u30a4\u30b9start<\/code>\u306e\u958b\u59cb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9 (\u542b\u3080)\u3001stop<\/code>\u30b9\u30e9\u30a4\u30b9\u306e\u7d42\u4e86\u30a4\u30f3\u30c7\u30c3\u30af\u30b9 (\u542b\u307e\u306a\u3044)\u3001step<\/code>\u304a\u3088\u3073\u30b9\u30e9\u30a4\u30b9\u306e\u30b9\u30c8\u30e9\u30a4\u30c9\u3092\u793a\u3057\u307e\u3059\u3002\u7701\u7565\u3057\u305f\u5834\u5408start<\/code>\u3001\u30c7\u30d5\u30a9\u30eb\u30c8\u306f 0 \u306b\u306a\u308a\u307e\u3059\u3002\u7701\u7565\u3057\u305f\u5834\u5408stop<\/code>\u3001\u30c7\u30d5\u30a9\u30eb\u30c8\u306f\u914d\u5217\u306e\u9577\u3055\u3067\u3059\u3002\u7701\u7565\u3057\u305f\u5834\u5408step<\/code>\u3001\u30c7\u30d5\u30a9\u30eb\u30c8\u306f 1 \u3067\u3059\u30021 \u6b21\u5143\u914d\u5217\u306e\u5834\u5408\u3001\u30b9\u30e9\u30a4\u30b9\u64cd\u4f5c\u306f Python \u306e\u30ea\u30b9\u30c8\u306b\u4f3c\u3066\u3044\u307e\u3059import numpy as np arr1 = np.array([1, 2, 3, 4, 5]) print(arr1[1:4]) # \u8f93\u51fa\uff1a[2 3 4] print(arr1[:3]) # \u8f93\u51fa\uff1a[1 2 3] print(arr1[2:]) # \u8f93\u51fa\uff1a[3 4 5] print(arr1[::2]) # \u8f93\u51fa\uff1a[1 3 5] <\/code>\u3002\u305f\u3068\u3048\u3070\u30012D \u914d\u5217\u306e\u5834\u5408: pythonCopy codeimport numpy as np arr2 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) print(arr2[0:2, 1:3]) # \u8f93\u51fa\uff1a[[2 3] # [5 6]] print(arr2[:, 1]) # \u8f93\u51fa\uff1a[2 5 8] print(arr2[1, :]) # \u8f93\u51fa\uff1a[4 5 6]<\/code><\/li>\n<\/ol>\n\n\n\n\u610f\u8b58\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u306e\u306f<\/p>\n\n\n\n\u7d9a\u3051\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
\u3001Numpy \u914d\u5217\u306e\u30b9\u30e9\u30a4\u30b9\u64cd\u4f5c\u306f\u3001\u65b0\u3057\u3044\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u5143\u306e\u914d\u5217\u306e\u30d3\u30e5\u30fc\u3092\u8fd4\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u30b9\u30e9\u30a4\u30b9\u5185\u306e\u8981\u7d20\u3092\u5909\u66f4\u3059\u308b\u3068\u3001\u5143\u306e\u914d\u5217\u304c\u5f71\u97ff\u3092\u53d7\u3051\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002\u3053\u306e\u8a2d\u8a08\u306b\u3088\u308a\u3001\u3088\u308a\u52b9\u7387\u7684\u306a\u30e1\u30e2\u30ea\u4f7f\u7528\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u304c\u3001\u5834\u5408\u306b\u3088\u3063\u3066\u306f\u610f\u56f3\u3057\u306a\u3044\u526f\u4f5c\u7528\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u30b9\u30e9\u30a4\u30b9\u306e\u30b3\u30d4\u30fc\u3092\u4f5c\u6210\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u5834\u5408\u306f\u3001copy()<\/code>\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\npython\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np\n\narr1 = np.array([1, 2, 3, 4, 5])\nslice1 = arr1[1:4]\nslice2 = arr1[1:4].copy()\n\n# \u4fee\u6539\u5207\u7247\u4e2d\u7684\u5143\u7d20\nslice1[0] = 99\nslice2[1] = 88\n\nprint(arr1) # \u8f93\u51fa\uff1a[ 1 99 3 4 5]\uff0c\u539f\u6570\u7ec4\u53d7\u5207\u7247slice1\u7684\u4fee\u6539\u5f71\u54cd\nprint(slice1) # \u8f93\u51fa\uff1a[99 3 4]\nprint(slice2) # \u8f93\u51fa\uff1a[ 2 88 4]\uff0c\u5207\u7247slice2\u7684\u4fee\u6539\u4e0d\u5f71\u54cd\u539f\u6570\u7ec4\n<\/code><\/pre>\n\n\n\n\u3055\u3089\u306b\u3001Numpy \u306f\u30d6\u30fc\u30eb\u914d\u5217\u306b\u3088\u308b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3082\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u3044\u307e\u3059\u3002\u30d6\u30fc\u30eb\u914d\u5217\u3067\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4f5c\u6210\u3059\u308b\u3068\u3001Numpy \u306f\u30d6\u30fc\u30eb\u914d\u5217\u306e True \u5024\u306b\u5bfe\u5fdc\u3059\u308b\u3059\u3079\u3066\u306e\u8981\u7d20\u3092\u8fd4\u3057\u307e\u3059\u3002\u3053\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u65b9\u6cd5\u306f\u3001\u914d\u5217\u8981\u7d20\u3092\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3059\u308b\u3068\u304d\u306b\u975e\u5e38\u306b\u4fbf\u5229\u3067\u3059\u3002<\/p>\n\n\n\n
python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np\n\narr1 = np.array([1, 2, 3, 4, 5])\nbool_idx = arr1 > 3\n\nprint(bool_idx) # \u8f93\u51fa\uff1a[False False False True True]\nprint(arr1[bool_idx]) # \u8f93\u51fa\uff1a[4 5]\n<\/code><\/pre>\n\n\n\n\u914d\u5217\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4ed8\u3051\u3068\u30b9\u30e9\u30a4\u30b9\u3092\u30de\u30b9\u30bf\u30fc\u3059\u308b\u3053\u3068\u3067\u3001\u914d\u5217\u5185\u306e\u8981\u7d20\u306b\u67d4\u8edf\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3066\u5909\u66f4\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u5b9f\u969b\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u306f\u3001\u914d\u5217\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4ed8\u3051\u3068\u30b9\u30e9\u30a4\u30b9\u306f\u901a\u5e38\u3001\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3001\u7279\u5fb4\u62bd\u51fa\u3001\u30c7\u30fc\u30bf\u306e\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u306a\u3069\u306e\u30bf\u30b9\u30af\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u57fa\u672c\u7684\u306a\u6982\u5ff5\u3092\u7406\u89e3\u3059\u308b\u3068\u3001Numpy \u3092\u3088\u308a\u52b9\u679c\u7684\u306b\u914d\u5217\u64cd\u4f5c\u3068\u6570\u5024\u8a08\u7b97\u306b\u4f7f\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\nNumpy \u914d\u5217\u306e\u30b9\u30d7\u30e9\u30a4\u30b7\u30f3\u30b0\u3068\u5206\u5272\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
Numpy \u306f\u3001\u914d\u5217\u3092\u9023\u7d50\u304a\u3088\u3073\u5206\u5272\u3059\u308b\u305f\u3081\u306e\u3055\u307e\u3056\u307e\u306a\u30e1\u30bd\u30c3\u30c9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u5b9f\u969b\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u306f\u3001\u3053\u308c\u3089\u306e\u64cd\u4f5c\u306f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u7d71\u5408\u3068\u5206\u5272\u306b\u3088\u304f\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
\n\u914d\u5217\u306e\u9023\u7d50: Numpy \u306fconcatenate<\/code>\u3001 \u3001 \u3001vstack<\/code>\u306a\u3069\u306e\u95a2\u6570\u3092\u63d0\u4f9b\u3057\u3066\u3001hstack<\/code>\u914d\u5217\u3092\u9023\u7d50\u3057\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u6307\u5b9a\u3057\u305f\u8ef8\u306b\u6cbf\u3063\u3066\u8907\u6570\u306e\u914d\u5217\u3092\u7d50\u5408\u3067\u304d\u307e\u3059\u3002concatenate<\/code>: \u6307\u5b9a\u3055\u308c\u305f\u8ef8\u306b\u6cbf\u3063\u3066\u914d\u5217\u3092\u9023\u7d50\u3057\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([[1, 2], [3, 4]]) arr2 = np.array([[5, 6]]) # \u6cbf\u7b2c0\u8f74\uff08\u884c\uff09\u62fc\u63a5\u6570\u7ec4 result1 = np.concatenate((arr1, arr2), axis=0) print(result1) # \u8f93\u51fa\uff1a[[1 2] # [3 4] # [5 6]] # \u6cbf\u7b2c1\u8f74\uff08\u5217\uff09\u62fc\u63a5\u6570\u7ec4 result2 = np.concatenate((arr1, arr2.T), axis=1) print(result2) # \u8f93\u51fa\uff1a[[1 2 5] # [3 4 6]]<\/code><\/li>vstack<\/code>: 0 \u756a\u76ee\u306e\u8ef8 (\u884c) \u306b\u6cbf\u3063\u3066\u914d\u5217\u3092\u9023\u7d50\u3057\u307e\u3059\u3002\u3053\u308c\u306f \u306econcatenate<\/code>\u64cd\u4f5c\u3068\u540c\u3058\u3067\u3059axis=0<\/code>\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([[1, 2], [3, 4]]) arr2 = np.array([[5, 6]]) result = np.vstack((arr1, arr2)) print(result) # \u8f93\u51fa\uff1a[[1 2] # [3 4] # [5 6]]<\/code><\/li>hstack<\/code>: \u6700\u521d\u306e\u8ef8 (\u5217) \u306b\u6cbf\u3063\u3066\u914d\u5217\u3092\u9023\u7d50\u3057\u307e\u3059\u3002\u3053\u308c\u306f \u306econcatenate<\/code>\u64cd\u4f5c\u3068\u540c\u3058\u3067\u3059axis=1<\/code>\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([[1, 2], [3, 4]]) arr2 = np.array([[5], [6]]) result = np.hstack((arr1, arr2)) print(result) # \u8f93\u51fa\uff1a[[1 2 5] # [3 4 6]]<\/code><\/li><\/ul>\u914d\u5217\u3092\u9023\u7d50\u3059\u308b\u3068\u304d\u306f\u3001\u914d\u5217\u306e\u5f62\u72b6\u304c\u4e00\u81f4\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u305f\u3068\u3048\u3070\u30010 \u8ef8\u306b\u6cbf\u3063\u3066\u914d\u5217\u3092\u9023\u7d50\u3059\u308b\u5834\u5408\u3001\u3059\u3079\u3066\u306e\u5165\u529b\u914d\u5217\u306f\u540c\u3058\u6570\u306e\u5217\u3092\u6301\u3064\u5fc5\u8981\u304c\u3042\u308a\u30011 \u8ef8\u306b\u6cbf\u3063\u3066\u914d\u5217\u3092\u9023\u7d50\u3059\u308b\u5834\u5408\u3001\u3059\u3079\u3066\u306e\u5165\u529b\u914d\u5217\u306f\u540c\u3058\u6570\u306e\u884c\u3092\u6301\u3064\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n\n\n\n\u914d\u5217\u5206\u5272: Numpy \u306fsplit<\/code>\u3001 \u3001 \u3001vsplit<\/code>\u306a\u3069\u306e\u95a2\u6570\u3092\u63d0\u4f9b\u3057\u3066\u3001hsplit<\/code>\u914d\u5217\u3092\u5206\u5272\u3057\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u6307\u5b9a\u3057\u305f\u8ef8\u306b\u6cbf\u3063\u3066\u914d\u5217\u3092\u30b5\u30d6\u914d\u5217\u306b\u5206\u5272\u3067\u304d\u307e\u3059\u3002\n\nsplit<\/code>: \u6307\u5b9a\u3057\u305f\u8ef8\u306b\u6cbf\u3063\u3066\u914d\u5217\u3092\u5206\u5272\u3057\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]) # \u6cbf\u7b2c0\u8f74\uff08\u884c\uff09\u5206\u5272\u6570\u7ec4 result1 = np.split(arr, 2, axis=0) print(result1) # \u8f93\u51fa\uff1a[array([[1, 2, 3], #<\/code><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n\u7d9a\u3051\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
lua\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc [4, 5, 6]]),\n array([[ 7, 8, 9],\n [10, 11, 12]])]\n\n # \u6cbf\u7b2c1\u8f74\uff08\u5217\uff09\u5206\u5272\u6570\u7ec4\n result2 = np.split(arr, 3, axis=1)\n print(result2)\n # \u8f93\u51fa\uff1a[array([[ 1],\n # [ 4],\n # [ 7],\n # [10]]),\n array([[ 2],\n [ 5],\n [ 8],\n [11]]),\n array([[ 3],\n [ 6],\n [ 9],\n [12]])]\n ```\n<\/code><\/pre>\n\n\n\n\nvsplit<\/code>: \u914d\u5217\u3092 0 \u756a\u76ee\u306e\u8ef8 (\u884c) \u306b\u6cbf\u3063\u3066\u5206\u5272\u3057\u307e\u3059\u3002\u3053\u308c\u306f \u306esplit<\/code>\u64cd\u4f5c\u3068\u540c\u3058\u3067\u3059axis=0<\/code>\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]) result = np.vsplit(arr, 2) print(result) # \u8f93\u51fa\uff1a[array([[1, 2, 3], # [4, 5, 6]]), array([[ 7, 8, 9], [10, 11, 12]])]<\/code><\/li>\n\n\n\nhsplit<\/code>: \u6700\u521d\u306e\u8ef8 (\u5217) \u306b\u6cbf\u3063\u3066\u914d\u5217\u3092\u5206\u5272\u3057\u307e\u3059\u3002\u3053\u308c\u306f \u306e\u64cd\u4f5c\u3068\u540c\u3058split<\/code>\u3067\u3059axis=1<\/code>\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]) result = np.hsplit(arr, 3) print(result) # \u8f93\u51fa\uff1a[array([[ 1], # [ 4], # [ 7], # [10]]), array([[ 2], [ 5], [ 8], [11]]), array([[ 3], [ 6], [ 9], [12]])]<\/code><\/li>\n<\/ul>\n\n\n\n\u914d\u5217\u3092\u5206\u5272\u3059\u308b\u3068\u304d\u306f\u3001\u914d\u5217\u304c\u5747\u7b49\u306b\u5206\u5272\u3067\u304d\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u305f\u3068\u3048\u3070\u3001\u914d\u5217\u3092 0 \u756a\u76ee\u306e\u8ef8\u306b\u6cbf\u3063\u3066\u5206\u5272\u3059\u308b\u5834\u5408\u3001\u5165\u529b\u914d\u5217\u306e\u884c\u6570\u306f\u5206\u5272\u6570\u3067\u5272\u308a\u5207\u308c\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\u914d\u5217\u3092 1 \u756a\u76ee\u306e\u8ef8\u306b\u6cbf\u3063\u3066\u5206\u5272\u3059\u308b\u5834\u5408\u3001\u5165\u529b\u914d\u5217\u306e\u5217\u6570\u306f \u3067\u5272\u308a\u5207\u308c\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u5206\u5272\u6570\u3002<\/p>\n\n\n\n
\u7d50\u5408\u64cd\u4f5c\u3068\u5206\u5272\u64cd\u4f5c\u306b\u3088\u308a\u3001\u914d\u5217\u3092\u7d50\u5408\u304a\u3088\u3073\u5206\u96e2\u3059\u308b\u67d4\u8edf\u6027\u304c\u5f97\u3089\u308c\u307e\u3059\u3002\u5b9f\u969b\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u306f\u3001\u914d\u5217\u306e\u9023\u7d50\u3068\u5206\u5272\u306f\u3001\u8907\u6570\u306e\u30c7\u30fc\u30bf \u30d5\u30a1\u30a4\u30eb\u3092 1 \u3064\u306e\u5927\u304d\u306a\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306b\u7d71\u5408\u3057\u305f\u308a\u3001\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30bb\u30c3\u30c8\u3068\u30c6\u30b9\u30c8 \u30bb\u30c3\u30c8\u306b\u5206\u5272\u3057\u305f\u308a\u3059\u308b\u306a\u3069\u3001\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306e\u30de\u30fc\u30b8\u3068\u5206\u5272\u306b\u3088\u304f\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u57fa\u672c\u7684\u306a\u6982\u5ff5\u3092\u7fd2\u5f97\u3059\u308b\u3068\u3001Numpy \u3092\u914d\u5217\u64cd\u4f5c\u3068\u6570\u5024\u8a08\u7b97\u306b\u3088\u308a\u52b9\u679c\u7684\u306b\u4f7f\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\nNumpy \u914d\u5217\u306e\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
Numpy \u914d\u5217\u306e\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u5f62\u72b6\u306e\u914d\u5217\u306b\u5bfe\u3059\u308b\u7b97\u8853\u6f14\u7b97\u3092\u81ea\u52d5\u7684\u306b\u51e6\u7406\u3059\u308b\u305f\u3081\u306e\u5f37\u529b\u306a\u30e1\u30ab\u30cb\u30ba\u30e0\u3067\u3059\u3002\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u5b9f\u969b\u306b\u30c7\u30fc\u30bf\u3092\u30b3\u30d4\u30fc\u3059\u308b\u3053\u3068\u306a\u304f\u3001\u3055\u307e\u3056\u307e\u306a\u5f62\u72b6\u306e\u914d\u5217\u306b\u5bfe\u3057\u3066\u8981\u7d20\u5358\u4f4d\u306e\u64cd\u4f5c\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8 \u30e1\u30ab\u30cb\u30ba\u30e0\u304c\u9069\u5207\u306b\u6a5f\u80fd\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u7279\u5b9a\u306e\u30eb\u30fc\u30eb\u306b\u5f93\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u30022 \u3064\u306e\u914d\u5217\u306b\u5bfe\u3057\u3066\u8981\u7d20\u5358\u4f4d\u306e\u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u5834\u5408\u3001Numpy \u306f\u305d\u308c\u3089\u306e\u5f62\u72b6\u3092\u6bd4\u8f03\u3057\u307e\u3059\u3002\u6700\u5f8c\u306e\u6b21\u5143 (\u8ef8) \u304b\u3089\u958b\u59cb\u3057\u3001\u5404\u8ef8\u306b\u6cbf\u3063\u3066\u9806\u65b9\u5411\u306b\u6bd4\u8f03\u3059\u308b\u3068\u3001\u5f62\u72b6\u306f\u6b21\u306e\u6761\u4ef6\u306e\u3044\u305a\u308c\u304b\u3092\u6e80\u305f\u3059\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\n\u4e21\u65b9\u306e\u914d\u5217\u306f\u3001\u3053\u306e\u8ef8\u306b\u6cbf\u3063\u3066\u540c\u3058\u30b5\u30a4\u30ba\u3067\u3059\u3002<\/li>\n\n\n\n \u914d\u5217\u306e 1 \u3064\u306f\u3001\u305d\u306e\u8ef8\u306e\u30b5\u30a4\u30ba\u304c 1 \u3067\u3059\u3002<\/li>\n<\/ol>\n\n\n\n2 \u3064\u306e\u914d\u5217\u306e\u5f62\u72b6\u304c\u4e0a\u8a18\u306e\u6761\u4ef6\u3092\u6e80\u305f\u3057\u3066\u3044\u308c\u3070\u3001\u305d\u308c\u3089\u3092\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u3067\u304d\u307e\u3059\u3002\u305d\u3046\u3057\u306a\u3044\u3068\u3001Numpy \u306f\u4e92\u63db\u6027\u306e\u306a\u3044\u5f62\u72b6\u3092\u793a\u3059\u4f8b\u5916\u3092\u767a\u751f\u3055\u305b\u307e\u3059\u3002<\/p>\n\n\n\n
\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u306e\u4f8b\u3092\u6b21\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\n\u30b9\u30ab\u30e9\u30fc\u306e\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8: \u30b9\u30ab\u30e9\u30fc\u306f\u3001\u7a7a\u306e\u5f62\u72b6\u3092\u6301\u3064\u914d\u5217\u3068\u8003\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u305d\u308c\u3089\u306f\u3059\u3079\u3066\u306e\u8ef8\u3067\u30b5\u30a4\u30ba 1 \u3092\u6301\u3061\u3001\u4efb\u610f\u306e\u914d\u5217\u3067\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u3067\u304d\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr = np.array([1, 2, 3]) result = arr * 2 print(result) # \u8f93\u51fa\uff1a[2 4 6]<\/code><\/li>\n\n\n\n1D \u914d\u5217\u306e\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8: 1D \u914d\u5217\u306f\u3001\u540c\u3058\u5f62\u72b6\u306e\u914d\u5217\u307e\u305f\u306f\u4e00\u90e8\u306e\u8ef8\u306e\u30b5\u30a4\u30ba\u304c 1 \u306e\u914d\u5217\u3067\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u3067\u304d\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) arr2 = np.array([1, 0, 1]) result = arr1 + arr2 print(result) # \u8f93\u51fa\uff1a[[ 2 2 4] # [ 5 5 7] # [ 8 8 10]]<\/code><\/li>\n\n\n\n\u591a\u6b21\u5143\u914d\u5217\u306e\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8: 2 \u3064\u306e\u591a\u6b21\u5143\u914d\u5217\u306e\u5f62\u72b6\u304c\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8 \u30eb\u30fc\u30eb\u3092\u6e80\u305f\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr1 = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]]) arr2 = np.array([[1], [2]]) result = arr1 + arr2 print(result) # \u8f93\u51fa\uff1a[[[ 2 3] # [ 5 6]] # # [[ 7 8] # [ 9 10]]]<\/code><\/li>\n<\/ol>\n\n\n\n\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u306f\u3001\u6b21\u306e\u70b9\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n
\n\u914d\u5217\u306e\u5f62\u72b6\u304c\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8 \u30eb\u30fc\u30eb\u3092\u6e80\u305f\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u5f62\u72b6\u306b\u4e92\u63db\u6027\u304c\u306a\u3044\u5834\u5408\u306f\u3001reshape<\/code>\u307e\u305f\u306f \u306a\u3069np.newaxis<\/code>\u306e\u65b9\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u3092\u518d\u5f62\u6210\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n\n\n\n\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u64cd\u4f5c\u306f\u3001\u30c7\u30fc\u30bf\u306e\u5b9f\u969b\u306e\u30b3\u30d4\u30fc\u3092\u56de\u907f\u3057\u306a\u304c\u3089\u3082\u3001\u8a08\u7b97\u3092\u5fc5\u8981\u3068\u3057\u307e\u3059\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u3092\u6271\u3046\u5834\u5408\u306f\u3001<\/li>\n<\/ol>\n\n\n\n\u7d9a\u3051\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
\u5341\u5206\u306a\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u3092\u4fdd\u6301\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\n\u5834\u5408\u306b\u3088\u3063\u3066\u306f\u3001\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u306b\u3088\u3063\u3066\u4e88\u671f\u3057\u306a\u3044\u7d50\u679c\u304c\u751f\u3058\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u3092\u4f7f\u7528\u3059\u308b\u3068\u304d\u306f\u3001\u914d\u5217\u306e\u5f62\u72b6\u3092\u5e38\u306b\u30c1\u30a7\u30c3\u30af\u3057\u3066\u3001\u6b63\u3057\u304f\u5b9f\u884c\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n<\/ol>\n\n\n\n\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8 \u30e1\u30ab\u30cb\u30ba\u30e0\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30c7\u30fc\u30bf\u3092\u30b3\u30d4\u30fc\u3057\u305f\u308a\u660e\u793a\u7684\u306b\u30eb\u30fc\u30d7\u3057\u305f\u308a\u3059\u308b\u3053\u3068\u306a\u304f\u3001\u7570\u306a\u308b\u5f62\u72b6\u306e\u914d\u5217\u9593\u3067\u8981\u7d20\u5358\u4f4d\u306e\u64cd\u4f5c\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30b3\u30fc\u30c9\u306e\u7c21\u6f54\u3055\u304c\u5411\u4e0a\u3059\u308b\u3060\u3051\u3067\u306a\u304f\u3001\u8a08\u7b97\u52b9\u7387\u3082\u5411\u4e0a\u3057\u307e\u3059\u3002\u5b9f\u969b\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u306f\u3001\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u306f\u3001\u914d\u5217\u64cd\u4f5c\u3001\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3001\u7279\u5fb4\u306e\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u306a\u3069\u306e\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u305f\u3081\u306b\u3088\u304f\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u306e\u57fa\u672c\u7684\u306a\u6982\u5ff5\u3092\u7406\u89e3\u3059\u308b\u3068\u3001\u914d\u5217\u64cd\u4f5c\u3084\u6570\u5024\u8a08\u7b97\u306b Numpy \u3092\u3088\u308a\u52b9\u679c\u7684\u306b\u4f7f\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\nNumpy\u914d\u5217\u306e\u7e70\u308a\u8fd4\u3057\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
Numpy \u914d\u5217\u306f\u3001\u30eb\u30fc\u30d7\u306e\u3088\u3046\u306afor<\/code>\u30eb\u30fc\u30d7\u3092\u4f7f\u7528\u3057\u305f\u53cd\u5fa9\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002\u30ea\u30b9\u30c8\u3084\u30bf\u30d7\u30eb\u306a\u3069\u306e Python \u306e\u4ed6\u306e\u30b7\u30fc\u30b1\u30f3\u30b9 \u30bf\u30a4\u30d7\u3068\u540c\u69d8\u306b\u3001Numpy \u914d\u5217\u306f\u8981\u7d20\u3054\u3068\u306b\u53cd\u5fa9\u3055\u308c\u307e\u3059\u3002\u305f\u3060\u3057\u3001Numpy \u914d\u5217\u306e\u53cd\u5fa9\u9806\u5e8f\u306f\u914d\u5217\u306e\u5f62\u72b6\u306b\u95a2\u9023\u3057\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n1 \u6b21\u5143\u914d\u5217\u306e\u5834\u5408\u3001\u53cd\u5fa9\u9806\u5e8f\u306f\u30ea\u30b9\u30c8\u306e\u5834\u5408\u3068\u540c\u3058\u3067\u3059\u3002<\/p>\n\n\n\n
python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np\n\narr = np.array([1, 2, 3, 4, 5])\n\nfor element in arr:\n print(element)\n\n# \u8f93\u51fa\uff1a\n# 1\n# 2\n# 3\n# 4\n# 5\n<\/code><\/pre>\n\n\n\n\u591a\u6b21\u5143\u914d\u5217\u306e\u5834\u5408\u3001\u53cd\u5fa9\u306f 0 \u756a\u76ee\u306e\u8ef8 (\u884c) \u306b\u6cbf\u3063\u3066\u5b9f\u884c\u3055\u308c\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u53cd\u5fa9\u4e2d\u306b\u3001\u914d\u5217\u306e\u5404\u884c\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np\n\narr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n\nfor row in arr:\n print(row)\n\n# \u8f93\u51fa\uff1a\n# [1 2 3]\n# [4 5 6]\n# [7 8 9]\n<\/code><\/pre>\n\n\n\n\u591a\u6b21\u5143\u914d\u5217\u3092\u8981\u7d20\u3054\u3068\u306b\u53cd\u5fa9\u51e6\u7406\u3059\u308b\u5834\u5408\u306f\u3001numpy.nditer<\/code>\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002nditer<\/code>\u4efb\u610f\u306e\u6b21\u5143\u306e\u914d\u5217\u3092\u8981\u7d20\u5358\u4f4d\u3067\u53cd\u5fa9\u51e6\u7406\u3059\u308b\u52b9\u7387\u7684\u306a\u65b9\u6cd5\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n\n\n\npython\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np\n\narr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n\nfor element in np.nditer(arr):\n print(element)\n\n# \u8f93\u51fa\uff1a\n# 1\n# 2\n# 3\n# 4\n# 5\n# 6\n# 7\n# 8\n# 9\n<\/code><\/pre>\n\n\n\nsum<\/code>\u7d44\u307f\u8fbc\u307f\u95a2\u6570 ( \u3001\u306a\u3069) \u3068 Numpy \u306b\u3088\u3063\u3066\u63d0\u4f9b\u3055\u308c\u308b\u30d9\u30af\u30c8\u30eb\u5316\u3055\u308c\u305f\u64cd\u4f5c\u306f\u3001min<\/code>\u901a\u5e38\u3001\u914d\u5217\u3092\u53cd\u5fa9\u51e6\u7406\u3059\u308b\u5834\u5408\u3001\u660e\u793a\u7684\u306a\u30eb\u30fc\u30d7\u3088\u308a\u3082\u52b9\u7387\u7684\u3067\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002max<\/code>\u3057\u305f\u304c\u3063\u3066\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u3092\u6271\u3046\u5834\u5408\u306f\u3001Numpy \u306e\u7d44\u307f\u8fbc\u307f\u95a2\u6570\u3068\u30d9\u30af\u30c8\u30eb\u5316\u3055\u308c\u305f\u64cd\u4f5c\u3092\u4f7f\u7528\u3057\u3066\u3001\u8a08\u7b97\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n\u8981\u7d04\u3059\u308b\u3068\u3001Numpy \u914d\u5217\u306f\u30eb\u30fc\u30d7\u3092\u4f7f\u7528\u3057\u305f\u53cd\u5fa9\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066 1D \u304a\u3088\u3073\u591a\u6b21\u5143\u914d\u5217\u306b\u5bfe\u3057\u3066\u884c\u5358\u4f4d\u307e\u305f\u306f\u8981\u7d20\u5358\u4f4d\u306e\u53cd\u5fa9\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002\u5b9f\u969b\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u306f\u3001\u914d\u5217\u306e\u53cd\u5fa9\u306f\u901a\u5e38\u3001\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3001\u7279\u5fb4\u62bd\u51fa\u3001\u304a\u3088\u3073\u305d\u306e\u4ed6\u306e\u30bf\u30b9\u30af\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002\u914d\u5217\u53cd\u5fa9\u306e\u57fa\u672c\u7684\u306a\u6982\u5ff5\u3092\u7406\u89e3\u3059\u308b\u3068\u3001Numpy \u3092\u3088\u308a\u52b9\u679c\u7684\u306b\u914d\u5217\u64cd\u4f5c\u3084\u6570\u5024\u8a08\u7b97\u306b\u4f7f\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n\u914d\u5217\u306e\u4e26\u3079\u66ff\u3048\u3001\u691c\u7d22\u3001\u30ab\u30a6\u30f3\u30c8\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u3066\u304f\u3060\u3055\u3044<\/p>\n\n\n\n
Numpy \u306f\u3001\u914d\u5217\u306e\u4e26\u3079\u66ff\u3048\u3001\u691c\u7d22\u3001\u304a\u3088\u3073\u30ab\u30a6\u30f3\u30c8\u306e\u305f\u3081\u306e\u3055\u307e\u3056\u307e\u306a\u95a2\u6570\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u4ee5\u4e0b\u306f\u3001\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u95a2\u6570\u306e\u8a73\u7d30\u306a\u8aac\u660e\u3067\u3059\u3002<\/p>\n\n\n\n
\n\u4e26\u3073\u66ff\u3048\uff1a\n\nnumpy.sort()<\/code>: \u5165\u529b\u914d\u5217\u306e\u30bd\u30fc\u30c8\u3055\u308c\u305f\u30b3\u30d4\u30fc\u3092\u8fd4\u3057\u307e\u3059\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u3001\u30bd\u30fc\u30c8\u306f\u6607\u9806\u3067\u884c\u308f\u308c\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr = np.array([3, 1, 2, 5, 4]) sorted_arr = np.sort(arr) print(sorted_arr) # \u8f93\u51fa\uff1a[1 2 3 4 5]<\/code><\/li>\n\n\n\n\u591a\u6b21\u5143\u914d\u5217\u306e\u5834\u5408\u3001axis<\/code>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u30bd\u30fc\u30c8\u3059\u308b\u8ef8\u3092\u6307\u5b9a\u3067\u304d\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr = np.array([[3, 1, 2], [6, 5, 4]]) sorted_arr = np.sort(arr, axis=0) print(sorted_arr) # \u8f93\u51fa\uff1a[[3 1 2] # [6 5 4]]<\/code><\/li>\n\n\n\nnumpy.argsort()<\/code>: \u5165\u529b\u914d\u5217\u306e\u30bd\u30fc\u30c8\u6e08\u307f\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u8fd4\u3057\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4f7f\u7528\u3057\u3066\u3001\u4ed6\u306e\u914d\u5217\u3092\u9593\u63a5\u7684\u306b\u4e26\u3079\u66ff\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002python\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3059\u308bimport numpy as np arr = np.array([3, 1, 2, 5, 4]) sorted_indices = np.argsort(arr) print(sorted_indices) # \u8f93\u51fa\uff1a[1 2 0 4 3]<\/code><\/li>\n<\/ul>\n<\/li>\n\n\n\n\u691c\u7d22\uff1a\n
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