import numpy as np print(np.__version__) <\/code>\u5982\u679c\u80fd\u591f\u770b\u5230Numpy\u7684\u7248\u672c\u53f7\uff0c\u8bf4\u660eNumpy\u5df2\u7ecf\u6210\u529f\u5b89\u88c5\u5e76\u53ef\u4ee5\u4f7f\u7528\u3002<\/li>\n<\/ol>\n\n\n\n\u73b0\u5728\uff0c\u60a8\u5df2\u7ecf\u5b8c\u6210\u4e86Numpy\u7684\u5b89\u88c5\u548c\u73af\u5883\u914d\u7f6e\uff0c\u53ef\u4ee5\u5f00\u59cb\u4f7f\u7528Numpy\u5e93\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u548c\u6570\u636e\u5904\u7406\u4efb\u52a1\u3002\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u60a8\u53ef\u80fd\u8fd8\u9700\u8981\u5b89\u88c5\u548c\u914d\u7f6e\u5176\u4ed6Python\u5e93\uff0c\u4f8b\u5982SciPy\u3001Pandas\u548cMatplotlib\u7b49\u3002\u5b89\u88c5\u8fd9\u4e9b\u5e93\u7684\u8fc7\u7a0b\u4e0e\u5b89\u88c5Numpy\u7c7b\u4f3c\uff0c\u53ea\u9700\u4f7f\u7528pip install<\/code>\u547d\u4ee4\u5373\u53ef\u3002<\/p>\n\n\n\n\n\n\u8bf7\u8be6\u7ec6\u89e3\u91caNumpy\u6570\u7ec4\u7684\u521b\u5efa<\/p>\n\n\n\n
Numpy\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u521b\u5efa\u6570\u7ec4\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u521b\u5efaNumpy\u6570\u7ec4\u7684\u65b9\u6cd5\uff1a<\/p>\n\n\n\n
\n\u4ecePython\u5217\u8868\u6216\u5143\u7ec4\u521b\u5efa\uff1a\u4f7f\u7528numpy.array()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5c06Python\u7684\u5217\u8868\uff08list\uff09\u6216\u5143\u7ec4\uff08tuple\uff09\u8f6c\u6362\u4e3aNumpy\u6570\u7ec4\u3002\u4f8b\u5982\uff1apythonCopy 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\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u521b\u5efa\uff1aNumpy\u63d0\u4f9b\u4e86\u4e00\u4e9b\u5185\u7f6e\u51fd\u6570\u6765\u521b\u5efa\u5177\u6709\u7279\u5b9a\u5f62\u72b6\u548c\u503c\u7684\u6570\u7ec4\u3002\u4f8b\u5982\uff1a\u5168\u96f6\u6570\u7ec4\uff1anumpy.zeros(shape)<\/code><\/li>\u5168\u4e00\u6570\u7ec4\uff1anumpy.ones(shape)<\/code><\/li>\u5355\u4f4d\u77e9\u9635\uff1anumpy.eye(N)<\/code><\/li>\u672a\u521d\u59cb\u5316\u7684\u6570\u7ec4\uff1anumpy.empty(shape)<\/code><\/li><\/ul>\u5176\u4e2d\uff0cshape<\/code>\u662f\u4e00\u4e2a\u8868\u793a\u6570\u7ec4\u5f62\u72b6\u7684\u6574\u6570\u5143\u7ec4\uff0c\u4f8b\u5982(3, 3)<\/code>\u8868\u793a\u4e00\u4e2a3×3\u7684\u77e9\u9635\u3002N<\/code>\u8868\u793a\u5355\u4f4d\u77e9\u9635\u7684\u5927\u5c0f\u3002pythonCopy codeimport 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\u4f7f\u7528\u6570\u503c\u8303\u56f4\u521b\u5efa\uff1aNumpy\u63d0\u4f9b\u4e86\u4ee5\u4e0b\u51fd\u6570\uff0c\u53ef\u4ee5\u6839\u636e\u7ed9\u5b9a\u7684\u6570\u503c\u8303\u56f4\u521b\u5efa\u7b49\u95f4\u8ddd\u7684\u6570\u7ec4\uff1anumpy.arange(start, stop, step)<\/code>\uff1a\u4ecestart<\/code>\u5f00\u59cb\uff08\u5305\u542b\uff09\uff0c\u5230stop<\/code>\u7ed3\u675f\uff08\u4e0d\u5305\u542b\uff09\uff0c\u4ee5step<\/code>\u4e3a\u95f4\u9694\u7684\u7b49\u95f4\u8ddd\u6570\u7ec4\u3002<\/li>numpy.linspace(start, stop, num)<\/code>\uff1a\u5728start<\/code>\u548cstop<\/code>\u4e4b\u95f4\uff08\u5305\u542b\uff09\uff0c\u521b\u5efanum<\/code>\u4e2a\u7b49\u95f4\u8ddd\u7684\u6570\u7ec4\u5143\u7d20\u3002<\/li><\/ul>pythonCopy codeimport 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\u521b\u5efa\u968f\u673a\u6570\u7ec4\uff1aNumpy\u7684random<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u521b\u5efa\u968f\u673a\u6570\u7ec4\u7684\u529f\u80fd\u3002\u4f8b\u5982\uff1a\u5747\u5300\u5206\u5e03\u7684\u968f\u673a\u6570\u7ec4\uff1anumpy.random.rand(shape)<\/code>\u3001numpy.random.uniform(low, high, size)<\/code><\/li>\u6b63\u6001\u5206\u5e03\u7684\u968f\u673a\u6570\u7ec4\uff1anumpy.random.randn(shape)<\/code>\u3001numpy.random.normal(loc, scale, size)<\/code><\/li><\/ul>\u5176\u4e2d\uff0cshape<\/code>\u8868\u793a\u6570\u7ec4\u7684\u5f62\u72b6\uff0clow<\/code>\u548chigh<\/code>\u8868\u793a\u968f\u673a\u6570\u7684\u4e0a\u4e0b\u754c\uff0csize<\/code>\u8868\u793a\u6570\u7ec4\u5927\u5c0f\uff0cloc<\/code>\u8868\u793a\u6b63\u6001\u5206\u5e03\u7684\u5747\u503c\uff0cscale<\/code>\u8868\u793a\u6b63\u6001\u5206\u5e03\u7684\u6807\u51c6\u5dee\u3002pythonCopy codeimport numpy as np rand_array = np.random.rand(2, 3) print(rand_array) uniform<\/code><\/li>\n<\/ol>\n\n\n\n\n\n\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n
\u968f\u673a\u6570\u7ec4\uff08\u7eed\uff09\uff1a<\/p>\n\n\n\n
pythonCopy codeimport 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\u4ee5\u4e0a\u662fNumpy\u521b\u5efa\u6570\u7ec4\u7684\u4e00\u4e9b\u5e38\u7528\u65b9\u6cd5\u3002\u6839\u636e\u5b9e\u9645\u9700\u6c42\uff0c\u60a8\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u521b\u5efa\u6240\u9700\u7684\u6570\u7ec4\u3002\u5728\u521b\u5efa\u6570\u7ec4\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7dtype<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u6570\u7ec4\u5143\u7d20\u7684\u6570\u636e\u7c7b\u578b\uff0c\u4f8b\u5982int32<\/code>\u3001float64<\/code>\u7b49\u3002\u5982\u679c\u4e0d\u6307\u5b9adtype<\/code>\uff0cNumpy\u4f1a\u81ea\u52a8\u6839\u636e\u8f93\u5165\u6570\u636e\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7c7b\u578b\u3002<\/p>\n\n\n\n\u4f8b\u5982\uff1a<\/p>\n\n\n\n
pythonCopy codeimport 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\u4e86\u89e3\u4e86\u8fd9\u4e9b\u521b\u5efaNumpy\u6570\u7ec4\u7684\u65b9\u6cd5\u540e\uff0c\u60a8\u53ef\u4ee5\u7075\u6d3b\u5730\u6839\u636e\u5b9e\u9645\u9700\u6c42\u521b\u5efa\u4e0d\u540c\u5f62\u72b6\u3001\u6570\u636e\u7c7b\u578b\u548c\u521d\u59cb\u503c\u7684\u6570\u7ec4\u3002<\/p>\n\n\n\n\n\n\u8bf7\u8be6\u7ec6\u89e3\u91ca\u6570\u7ec4\u7684\u5c5e\u6027<\/p>\n\n\n\n
Numpy\u6570\u7ec4\uff08ndarray\uff09\u5177\u6709\u4e00\u4e9b\u5c5e\u6027\uff0c\u53ef\u4ee5\u7528\u6765\u63cf\u8ff0\u6570\u7ec4\u7684\u5f62\u72b6\u3001\u5927\u5c0f\u3001\u6570\u636e\u7c7b\u578b\u7b49\u7279\u5f81\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u6570\u7ec4\u5c5e\u6027\uff1a<\/p>\n\n\n\n
\nndim<\/code>\uff1a\u8868\u793a\u6570\u7ec4\u7684\u7ef4\u5ea6\uff08\u8f74\uff09\u6570\u91cf\u3002\u4f8b\u5982\uff0c\u4e00\u7ef4\u6570\u7ec4\u7684ndim<\/code>\u4e3a1\uff0c\u4e8c\u7ef4\u6570\u7ec4\u7684ndim<\/code>\u4e3a2\u3002pythonCopy codeimport 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>\uff1a\u8868\u793a\u6570\u7ec4\u7684\u5f62\u72b6\uff0c\u4ee5\u5143\u7ec4\u5f62\u5f0f\u8fd4\u56de\u6bcf\u4e2a\u8f74\u7684\u5927\u5c0f\u3002\u4f8b\u5982\uff0c\u4e00\u4e2a3×4\u7684\u4e8c\u7ef4\u6570\u7ec4\u7684shape<\/code>\u4e3a(3, 4)\u3002pythonCopy codeimport 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>\uff1a\u8868\u793a\u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u603b\u6570\u3002\u7b49\u4e8eshape<\/code>\u5143\u7ec4\u4e2d\u6240\u6709\u5143\u7d20\u7684\u4e58\u79ef\u3002pythonCopy codeimport 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>\uff1a\u8868\u793a\u6570\u7ec4\u5143\u7d20\u7684\u6570\u636e\u7c7b\u578b\u3002Numpy\u652f\u6301\u591a\u79cd\u6570\u636e\u7c7b\u578b\uff0c\u5982int8<\/code>\u3001int32<\/code>\u3001float64<\/code>\u7b49\u3002pythonCopy codeimport 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>\uff1a\u8868\u793a\u6570\u7ec4\u4e2d\u6bcf\u4e2a\u5143\u7d20\u7684\u5b57\u8282\u6570\u3002\u4f8b\u5982\uff0cint32<\/code>\u7c7b\u578b\u7684\u6570\u7ec4\u5143\u7d20\u5360\u75284\u4e2a\u5b57\u8282\uff0cfloat64<\/code>\u7c7b\u578b\u7684\u6570\u7ec4\u5143\u7d20\u5360\u75288\u4e2a\u5b57\u8282\u3002pythonCopy codeimport 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>\uff1a\u8868\u793a\u6570\u7ec4\u7684\u603b\u5b57\u8282\u6570\uff0c\u7b49\u4e8eitemsize<\/code>\u4e58\u4ee5size<\/code>\u3002pythonCopy codeimport 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\n\n\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n
2.2, 3.3], dtype=np.float64) print(arr2.nbytes) # \u8f93\u51fa\uff1a24<\/p>\n\n\n\n
goCopy code\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\n\n\u8bf7\u8be6\u7ec6\u89e3\u91ca\u6570\u7ec4\u7684\u7d22\u5f15\u4e0e\u5207\u7247<\/p>\n\n\n\n
\u5728Numpy\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u7d22\u5f15\u548c\u5207\u7247\u6765\u8bbf\u95ee\u548c\u4fee\u6539\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u3002\u6570\u7ec4\u7d22\u5f15\u548c\u5207\u7247\u7684\u6982\u5ff5\u4e0ePython\u7684\u5217\u8868\u7d22\u5f15\u548c\u5207\u7247\u7c7b\u4f3c\uff0c\u4f46\u5728\u591a\u7ef4\u6570\u7ec4\u4e2d\u66f4\u4e3a\u5f3a\u5927\u3002<\/p>\n\n\n\n
\n\u6570\u7ec4\u7d22\u5f15\uff1a\u4f7f\u7528\u6574\u6570\u7d22\u5f15\u8bbf\u95ee\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u3002\u5bf9\u4e8e\u4e00\u7ef4\u6570\u7ec4\uff0c\u53ea\u9700\u8981\u4e00\u4e2a\u6574\u6570\u7d22\u5f15\uff1b\u5bf9\u4e8e\u591a\u7ef4\u6570\u7ec4\uff0c\u9700\u8981\u4e3a\u6bcf\u4e2a\u8f74\u63d0\u4f9b\u4e00\u4e2a\u6574\u6570\u7d22\u5f15\uff0c\u7528\u9017\u53f7\u5206\u9694\u3002pythonCopy codeimport 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>\u53ef\u4ee5\u4f7f\u7528\u8d1f\u6570\u7d22\u5f15\u8bbf\u95ee\u6570\u7ec4\u7684\u672b\u5c3e\u5143\u7d20\u3002\u4f8b\u5982\uff0c-1<\/code>\u8868\u793a\u6700\u540e\u4e00\u4e2a\u5143\u7d20\uff0c-2<\/code>\u8868\u793a\u5012\u6570\u7b2c\u4e8c\u4e2a\u5143\u7d20\u3002pythonCopy codeimport 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\u6570\u7ec4\u5207\u7247\uff1a\u4f7f\u7528\u5207\u7247\u8bbf\u95ee\u6570\u7ec4\u4e2d\u7684\u4e00\u6bb5\u8fde\u7eed\u5143\u7d20\u3002\u5207\u7247\u7684\u8bed\u6cd5\u4e3astart:stop:step<\/code>\uff0c\u5176\u4e2dstart<\/code>\u8868\u793a\u5207\u7247\u7684\u8d77\u59cb\u7d22\u5f15\uff08\u5305\u542b\uff09\uff0cstop<\/code>\u8868\u793a\u5207\u7247\u7684\u7ed3\u675f\u7d22\u5f15\uff08\u4e0d\u5305\u542b\uff09\uff0cstep<\/code>\u8868\u793a\u5207\u7247\u7684\u6b65\u957f\u3002\u5982\u679c\u7701\u7565start<\/code>\uff0c\u9ed8\u8ba4\u4e3a0\uff1b\u5982\u679c\u7701\u7565stop<\/code>\uff0c\u9ed8\u8ba4\u4e3a\u6570\u7ec4\u957f\u5ea6\uff1b\u5982\u679c\u7701\u7565step<\/code>\uff0c\u9ed8\u8ba4\u4e3a1\u3002\u5bf9\u4e8e\u4e00\u7ef4\u6570\u7ec4\uff0c\u5207\u7247\u64cd\u4f5c\u7c7b\u4f3c\u4e8ePython\u5217\u8868\uff1apythonCopy codeimport 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>\u5bf9\u4e8e\u591a\u7ef4\u6570\u7ec4\uff0c\u53ef\u4ee5\u4e3a\u6bcf\u4e2a\u8f74\u63d0\u4f9b\u4e00\u4e2a\u5207\u7247\uff0c\u7528\u9017\u53f7\u5206\u9694\u3002\u4f8b\u5982\uff0c\u5bf9\u4e8e\u4e8c\u7ef4\u6570\u7ec4\uff1apythonCopy 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\u9700\u8981\u6ce8\u610f\u7684\u662f<\/p>\n\n\n\n\n\n\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n
\uff0cNumpy\u6570\u7ec4\u7684\u5207\u7247\u64cd\u4f5c\u8fd4\u56de\u7684\u662f\u539f\u6570\u7ec4\u7684\u89c6\u56fe\uff0c\u800c\u4e0d\u662f\u521b\u5efa\u65b0\u7684\u6570\u7ec4\u3002\u8fd9\u610f\u5473\u7740\uff0c\u4fee\u6539\u5207\u7247\u4e2d\u7684\u5143\u7d20\u5c06\u5f71\u54cd\u539f\u6570\u7ec4\u3002\u8fd9\u79cd\u8bbe\u8ba1\u53ef\u4ee5\u63d0\u9ad8\u5185\u5b58\u4f7f\u7528\u6548\u7387\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u53ef\u80fd\u4f1a\u5bfc\u81f4\u610f\u5916\u7684\u526f\u4f5c\u7528\u3002\u5982\u679c\u9700\u8981\u521b\u5efa\u5207\u7247\u7684\u526f\u672c\uff0c\u53ef\u4ee5\u4f7f\u7528copy()<\/code>\u65b9\u6cd5\u3002<\/p>\n\n\n\npythonCopy codeimport 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\u6b64\u5916\uff0cNumpy\u8fd8\u652f\u6301\u4f7f\u7528\u5e03\u5c14\u6570\u7ec4\u8fdb\u884c\u7d22\u5f15\u3002\u5f53\u4f7f\u7528\u5e03\u5c14\u6570\u7ec4\u8fdb\u884c\u7d22\u5f15\u65f6\uff0cNumpy\u5c06\u8fd4\u56de\u6240\u6709\u4e0e\u5e03\u5c14\u6570\u7ec4\u4e2dTrue\u503c\u5bf9\u5e94\u7684\u5143\u7d20\u3002\u8fd9\u79cd\u7d22\u5f15\u65b9\u5f0f\u5728\u8fc7\u6ee4\u6570\u7ec4\u5143\u7d20\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n\n\n\n
pythonCopy codeimport 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\u901a\u8fc7\u638c\u63e1\u6570\u7ec4\u7d22\u5f15\u548c\u5207\u7247\uff0c\u60a8\u53ef\u4ee5\u7075\u6d3b\u5730\u8bbf\u95ee\u548c\u4fee\u6539\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6570\u7ec4\u7d22\u5f15\u548c\u5207\u7247\u901a\u5e38\u7528\u4e8e\u6570\u636e\u9884\u5904\u7406\u3001\u7279\u5f81\u63d0\u53d6\u3001\u6570\u636e\u8fc7\u6ee4\u7b49\u4efb\u52a1\u3002\u4e86\u89e3\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<\/p>\n\n\n\n\n\n\u8bf7\u8be6\u7ec6\u89e3\u91caNumpy\u6570\u7ec4\u7684\u62fc\u63a5\u4e0e\u5206\u5272<\/p>\n\n\n\n
Numpy\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u62fc\u63a5\u548c\u5206\u5272\u6570\u7ec4\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u8fd9\u4e9b\u64cd\u4f5c\u901a\u5e38\u7528\u4e8e\u6574\u5408\u548c\u62c6\u5206\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n
\n\u6570\u7ec4\u62fc\u63a5\uff1aNumpy\u63d0\u4f9b\u4e86concatenate<\/code>\u3001vstack<\/code>\u548chstack<\/code>\u7b49\u51fd\u6570\u6765\u62fc\u63a5\u6570\u7ec4\u3002\u8fd9\u4e9b\u51fd\u6570\u5141\u8bb8\u6cbf\u6307\u5b9a\u8f74\u5c06\u591a\u4e2a\u6570\u7ec4\u8fde\u63a5\u5728\u4e00\u8d77\u3002concatenate<\/code>\uff1a\u6cbf\u6307\u5b9a\u8f74\u62fc\u63a5\u6570\u7ec4\u3002pythonCopy codeimport 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>\uff1a\u6cbf\u7b2c0\u8f74\uff08\u884c\uff09\u62fc\u63a5\u6570\u7ec4\uff0c\u7b49\u540c\u4e8econcatenate<\/code>\u7684axis=0<\/code>\u64cd\u4f5c\u3002pythonCopy codeimport 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>\uff1a\u6cbf\u7b2c1\u8f74\uff08\u5217\uff09\u62fc\u63a5\u6570\u7ec4\uff0c\u7b49\u540c\u4e8econcatenate<\/code>\u7684axis=1<\/code>\u64cd\u4f5c\u3002pythonCopy codeimport 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>\u5728\u62fc\u63a5\u6570\u7ec4\u65f6\uff0c\u8bf7\u786e\u4fdd\u6570\u7ec4\u7684\u5f62\u72b6\u76f8\u7b26\u3002\u4f8b\u5982\uff0c\u6cbf\u7b2c0\u8f74\u62fc\u63a5\u6570\u7ec4\u65f6\uff0c\u6240\u6709\u8f93\u5165\u6570\u7ec4\u7684\u5217\u6570\u5e94\u76f8\u7b49\uff1b\u6cbf\u7b2c1\u8f74\u62fc\u63a5\u6570\u7ec4\u65f6\uff0c\u6240\u6709\u8f93\u5165\u6570\u7ec4\u7684\u884c\u6570\u5e94\u76f8\u7b49\u3002<\/li>\n\n\n\n\u6570\u7ec4\u5206\u5272\uff1aNumpy\u63d0\u4f9b\u4e86split<\/code>\u3001vsplit<\/code>\u548chsplit<\/code>\u7b49\u51fd\u6570\u6765\u5206\u5272\u6570\u7ec4\u3002\u8fd9\u4e9b\u51fd\u6570\u5141\u8bb8\u6cbf\u6307\u5b9a\u8f74\u5c06\u6570\u7ec4\u5206\u5272\u4e3a\u591a\u4e2a\u5b50\u6570\u7ec4\u3002\n\nsplit<\/code>\uff1a\u6cbf\u6307\u5b9a\u8f74\u5206\u5272\u6570\u7ec4\u3002pythonCopy codeimport 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\n\n\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n
luaCopy code [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>\uff1a\u6cbf\u7b2c0\u8f74\uff08\u884c\uff09\u5206\u5272\u6570\u7ec4\uff0c\u7b49\u540c\u4e8esplit<\/code>\u7684axis=0<\/code>\u64cd\u4f5c\u3002pythonCopy codeimport 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>\uff1a\u6cbf\u7b2c1\u8f74\uff08\u5217\uff09\u5206\u5272\u6570\u7ec4\uff0c\u7b49\u540c\u4e8esplit<\/code>\u7684axis=1<\/code>\u64cd\u4f5c\u3002pythonCopy codeimport 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\u5728\u5206\u5272\u6570\u7ec4\u65f6\uff0c\u8bf7\u786e\u4fdd\u53ef\u4ee5\u5c06\u6570\u7ec4\u7b49\u5206\u3002\u4f8b\u5982\uff0c\u6cbf\u7b2c0\u8f74\u5206\u5272\u6570\u7ec4\u65f6\uff0c\u8f93\u5165\u6570\u7ec4\u7684\u884c\u6570\u5e94\u80fd\u88ab\u5206\u5272\u4efd\u6570\u6574\u9664\uff1b\u6cbf\u7b2c1\u8f74\u5206\u5272\u6570\u7ec4\u65f6\uff0c\u8f93\u5165\u6570\u7ec4\u7684\u5217\u6570\u5e94\u80fd\u88ab\u5206\u5272\u4efd\u6570\u6574\u9664\u3002<\/p>\n\n\n\n
\u901a\u8fc7\u62fc\u63a5\u548c\u5206\u5272\u64cd\u4f5c\uff0c\u60a8\u53ef\u4ee5\u7075\u6d3b\u5730\u7ec4\u5408\u548c\u5206\u79bb\u6570\u7ec4\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6570\u7ec4\u62fc\u63a5\u548c\u5206\u5272\u901a\u5e38\u7528\u4e8e\u5408\u5e76\u548c\u62c6\u5206\u6570\u636e\u96c6\uff0c\u4f8b\u5982\u5c06\u591a\u4e2a\u6570\u636e\u6587\u4ef6\u6574\u5408\u4e3a\u4e00\u4e2a\u5927\u6570\u636e\u96c6\uff0c\u6216\u5c06\u4e00\u4e2a\u6570\u636e\u96c6\u62c6\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u7b49\u3002\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<\/p>\n\n\n\n\n\n\u8bf7\u8be6\u7ec6\u89e3\u91caNumpy\u6570\u7ec4\u7684\u5e7f\u64ad<\/p>\n\n\n\n
Numpy\u6570\u7ec4\u7684\u5e7f\u64ad\uff08broadcasting\uff09\u662f\u4e00\u79cd\u81ea\u52a8\u5904\u7406\u4e0d\u540c\u5f62\u72b6\u7684\u6570\u7ec4\u8fdb\u884c\u7b97\u672f\u8fd0\u7b97\u7684\u5f3a\u5927\u673a\u5236\u3002\u5e7f\u64ad\u5141\u8bb8\u60a8\u5728\u4e0d\u5b9e\u9645\u590d\u5236\u6570\u636e\u7684\u60c5\u51b5\u4e0b\uff0c\u5bf9\u4e0d\u540c\u5f62\u72b6\u7684\u6570\u7ec4\u6267\u884c\u5143\u7d20\u7ea7\u8fd0\u7b97\u3002<\/p>\n\n\n\n
\u4e3a\u4e86\u4f7f\u5e7f\u64ad\u673a\u5236\u6b63\u5e38\u5de5\u4f5c\uff0c\u9700\u8981\u9075\u5faa\u4e00\u5b9a\u7684\u89c4\u5219\u3002\u5728\u5bf9\u4e24\u4e2a\u6570\u7ec4\u8fdb\u884c\u5143\u7d20\u7ea7\u8fd0\u7b97\u65f6\uff0cNumpy\u4f1a\u5bf9\u5b83\u4eec\u7684\u5f62\u72b6\u8fdb\u884c\u6bd4\u8f83\u3002\u4ece\u6700\u540e\u4e00\u4e2a\u7ef4\u5ea6\uff08\u8f74\uff09\u5f00\u59cb\uff0c\u6cbf\u7740\u6bcf\u4e2a\u8f74\u5411\u524d\u6bd4\u8f83\uff0c\u5f62\u72b6\u9700\u8981\u6ee1\u8db3\u4ee5\u4e0b\u6761\u4ef6\u4e4b\u4e00\uff1a<\/p>\n\n\n\n
\n\u4e24\u4e2a\u6570\u7ec4\u5728\u8be5\u8f74\u4e0a\u5177\u6709\u76f8\u540c\u7684\u5927\u5c0f\u3002<\/li>\n\n\n\n \u5176\u4e2d\u4e00\u4e2a\u6570\u7ec4\u5728\u8be5\u8f74\u4e0a\u7684\u5927\u5c0f\u4e3a1\u3002<\/li>\n<\/ol>\n\n\n\n\u5982\u679c\u4e24\u4e2a\u6570\u7ec4\u7684\u5f62\u72b6\u6ee1\u8db3\u4ee5\u4e0a\u6761\u4ef6\uff0c\u90a3\u4e48\u5b83\u4eec\u5c31\u53ef\u4ee5\u8fdb\u884c\u5e7f\u64ad\u3002\u5426\u5219\uff0cNumpy\u5c06\u5f15\u53d1\u4e00\u4e2a\u5f02\u5e38\uff0c\u8868\u793a\u5f62\u72b6\u4e0d\u517c\u5bb9\u3002<\/p>\n\n\n\n
\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e7f\u64ad\u7684\u793a\u4f8b\uff1a<\/p>\n\n\n\n
\n\u5bf9\u6807\u91cf\u8fdb\u884c\u5e7f\u64ad\uff1a\u6807\u91cf\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u4e2a\u5f62\u72b6\u4e3a\u7a7a\u7684\u6570\u7ec4\u3002\u56e0\u6b64\uff0c\u5b83\u4eec\u5728\u6240\u6709\u8f74\u4e0a\u7684\u5927\u5c0f\u90fd\u4e3a1\uff0c\u53ef\u4ee5\u4e0e\u4efb\u4f55\u6570\u7ec4\u8fdb\u884c\u5e7f\u64ad\u3002pythonCopy codeimport 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\n\u5bf9\u4e00\u7ef4\u6570\u7ec4\u8fdb\u884c\u5e7f\u64ad\uff1a\u4e00\u7ef4\u6570\u7ec4\u53ef\u4ee5\u4e0e\u5f62\u72b6\u76f8\u540c\u7684\u6570\u7ec4\u6216\u5728\u67d0\u4e2a\u8f74\u4e0a\u5927\u5c0f\u4e3a1\u7684\u6570\u7ec4\u8fdb\u884c\u5e7f\u64ad\u3002pythonCopy codeimport 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\u5bf9\u591a\u7ef4\u6570\u7ec4\u8fdb\u884c\u5e7f\u64ad\uff1a\u5f53\u4e24\u4e2a\u591a\u7ef4\u6570\u7ec4\u7684\u5f62\u72b6\u6ee1\u8db3\u5e7f\u64ad\u89c4\u5219\u65f6\uff0c\u53ef\u4ee5\u8fdb\u884c\u5e7f\u64ad\u3002pythonCopy codeimport 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\u5728\u4f7f\u7528\u5e7f\u64ad\u65f6\uff0c\u8bf7\u6ce8\u610f\u4ee5\u4e0b\u4e8b\u9879\uff1a<\/p>\n\n\n\n
\n\u786e\u4fdd\u6570\u7ec4\u7684\u5f62\u72b6\u6ee1\u8db3\u5e7f\u64ad\u89c4\u5219\u3002\u5982\u679c\u5f62\u72b6\u4e0d\u517c\u5bb9\uff0c\u60a8\u9700\u8981\u4f7f\u7528reshape<\/code>\u6216np.newaxis<\/code>\u7b49\u65b9\u6cd5\u8c03\u6574\u6570\u7ec4\u5f62\u72b6\u3002<\/li>\n\n\n\n\u5e7f\u64ad\u64cd\u4f5c\u867d\u7136\u907f\u514d\u4e86\u6570\u636e\u7684\u5b9e\u9645\u590d\u5236\uff0c\u4f46\u4ecd\u7136\u9700\u8981\u8fdb\u884c\u8ba1\u7b97\u3002\u56e0\u6b64\uff0c\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u8bf7\u786e<\/li>\n<\/ol>\n\n\n\n\n\n\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n
\u4fdd\u6709\u8db3\u591f\u7684\u8ba1\u7b97\u8d44\u6e90\u3002<\/p>\n\n\n\n
\n\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u5e7f\u64ad\u53ef\u80fd\u4f1a\u5bfc\u81f4\u610f\u5916\u7684\u7ed3\u679c\u3002\u56e0\u6b64\uff0c\u5728\u4f7f\u7528\u5e7f\u64ad\u65f6\uff0c\u8bf7\u52a1\u5fc5\u68c0\u67e5\u6570\u7ec4\u5f62\u72b6\u4ee5\u786e\u4fdd\u64cd\u4f5c\u6b63\u786e\u3002<\/li>\n<\/ol>\n\n\n\n\u5e7f\u64ad\u673a\u5236\u4f7f\u60a8\u80fd\u591f\u5728\u4e0d\u540c\u5f62\u72b6\u7684\u6570\u7ec4\u4e4b\u95f4\u6267\u884c\u5143\u7d20\u7ea7\u8fd0\u7b97\uff0c\u800c\u65e0\u9700\u590d\u5236\u6570\u636e\u6216\u663e\u5f0f\u5faa\u73af\u3002\u8fd9\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u4ee3\u7801\u7684\u7b80\u6d01\u6027\uff0c\u8fd8\u63d0\u9ad8\u4e86\u8ba1\u7b97\u6548\u7387\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5e7f\u64ad\u901a\u5e38\u7528\u4e8e\u6267\u884c\u6570\u7ec4\u8fd0\u7b97\u3001\u6570\u636e\u9884\u5904\u7406\u3001\u7279\u5f81\u7f29\u653e\u7b49\u4efb\u52a1\u3002\u638c\u63e1\u4e86\u5e7f\u64ad\u8fd9\u4e00\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<\/p>\n\n\n\n\n\n\u8bf7\u8be6\u7ec6\u89e3\u91caNumpy\u6570\u7ec4\u7684\u8fed\u4ee3<\/p>\n\n\n\n
Numpy\u6570\u7ec4\u652f\u6301\u4f7f\u7528\u5faa\u73af\uff08\u5982for<\/code>\u5faa\u73af\uff09\u8fdb\u884c\u8fed\u4ee3\u3002\u4e0ePython\u4e2d\u7684\u5176\u4ed6\u5e8f\u5217\u7c7b\u578b\uff08\u5982\u5217\u8868\u548c\u5143\u7ec4\uff09\u7c7b\u4f3c\uff0cNumpy\u6570\u7ec4\u7684\u8fed\u4ee3\u662f\u6309\u7167\u5143\u7d20\u8fdb\u884c\u7684\u3002\u4f46\u662f\uff0c\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cNumpy\u6570\u7ec4\u7684\u8fed\u4ee3\u987a\u5e8f\u548c\u6570\u7ec4\u7684\u5f62\u72b6\u6709\u5173\u3002<\/p>\n\n\n\n\u5bf9\u4e8e\u4e00\u7ef4\u6570\u7ec4\uff0c\u8fed\u4ee3\u987a\u5e8f\u4e0e\u5217\u8868\u76f8\u540c\uff1a<\/p>\n\n\n\n
pythonCopy codeimport 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\u5bf9\u4e8e\u591a\u7ef4\u6570\u7ec4\uff0c\u8fed\u4ee3\u6309\u7167\u7b2c0\u8f74\uff08\u884c\uff09\u8fdb\u884c\u3002\u8fd9\u610f\u5473\u7740\uff0c\u5728\u8fed\u4ee3\u8fc7\u7a0b\u4e2d\uff0c\u60a8\u5c06\u83b7\u5f97\u6570\u7ec4\u7684\u6bcf\u4e00\u884c\uff1a<\/p>\n\n\n\n
pythonCopy codeimport 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\u5982\u679c\u60a8\u60f3\u8981\u9010\u5143\u7d20\u5730\u8fed\u4ee3\u591a\u7ef4\u6570\u7ec4\uff0c\u53ef\u4ee5\u4f7f\u7528numpy.nditer<\/code>\u51fd\u6570\u3002nditer<\/code>\u63d0\u4f9b\u4e86\u4e00\u79cd\u9ad8\u6548\u7684\u8fed\u4ee3\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5728\u4efb\u610f\u7ef4\u5ea6\u7684\u6570\u7ec4\u4e0a\u8fdb\u884c\u5143\u7d20\u7ea7\u8fed\u4ee3\uff1a<\/p>\n\n\n\npythonCopy codeimport 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\n\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5728\u8fdb\u884c\u6570\u7ec4\u8fed\u4ee3\u65f6\uff0cNumpy\u63d0\u4f9b\u7684\u5185\u7f6e\u51fd\u6570\uff08\u5982sum<\/code>\u3001min<\/code>\u3001max<\/code>\u7b49\uff09\u548c\u5411\u91cf\u5316\u64cd\u4f5c\u901a\u5e38\u6bd4\u663e\u5f0f\u5faa\u73af\u66f4\u9ad8\u6548\u3002\u56e0\u6b64\uff0c\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u8bf7\u5c3d\u91cf\u4f7f\u7528Numpy\u5185\u7f6e\u51fd\u6570\u548c\u5411\u91cf\u5316\u64cd\u4f5c\uff0c\u4ee5\u63d0\u9ad8\u8ba1\u7b97\u6027\u80fd\u3002<\/p>\n\n\n\n\u603b\u4e4b\uff0cNumpy\u6570\u7ec4\u652f\u6301\u4f7f\u7528\u5faa\u73af\u8fdb\u884c\u8fed\u4ee3\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u9700\u8981\u5728\u4e00\u7ef4\u548c\u591a\u7ef4\u6570\u7ec4\u4e0a\u8fdb\u884c\u884c\u8fed\u4ee3\u6216\u5143\u7d20\u8fed\u4ee3\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6570\u7ec4\u8fed\u4ee3\u901a\u5e38\u7528\u4e8e\u6570\u636e\u9884\u5904\u7406\u3001\u7279\u5f81\u63d0\u53d6\u7b49\u4efb\u52a1\u3002\u638c\u63e1\u4e86\u6570\u7ec4\u8fed\u4ee3\u8fd9\u4e00\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<\/p>\n\n\n\n\n\n\u8bf7\u8be6\u7ec6\u89e3\u91ca\u6570\u7ec4\u7684\u6392\u5e8f\u3001\u641c\u7d22\u548c\u8ba1\u6570<\/p>\n\n\n\n
Numpy\u63d0\u4f9b\u4e86\u591a\u79cd\u51fd\u6570\uff0c\u7528\u4e8e\u5bf9\u6570\u7ec4\u8fdb\u884c\u6392\u5e8f\u3001\u641c\u7d22\u548c\u8ba1\u6570\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u51fd\u6570\u7684\u8be6\u7ec6\u8bf4\u660e\uff1a<\/p>\n\n\n\n
\n\u6392\u5e8f\uff1a\n\nnumpy.sort()<\/code>\uff1a\u8fd4\u56de\u8f93\u5165\u6570\u7ec4\u7684\u6392\u5e8f\u526f\u672c\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u6392\u5e8f\u662f\u6309\u7167\u5347\u5e8f\u8fdb\u884c\u7684\u3002pythonCopy codeimport 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\u5bf9\u4e8e\u591a\u7ef4\u6570\u7ec4\uff0c\u53ef\u4ee5\u4f7f\u7528axis<\/code>\u53c2\u6570\u6307\u5b9a\u6cbf\u54ea\u4e2a\u8f74\u8fdb\u884c\u6392\u5e8f\u3002pythonCopy codeimport 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>\uff1a\u8fd4\u56de\u8f93\u5165\u6570\u7ec4\u7684\u6392\u5e8f\u7d22\u5f15\u3002\u8fd9\u4e9b\u7d22\u5f15\u53ef\u4ee5\u7528\u4e8e\u5bf9\u5176\u4ed6\u6570\u7ec4\u8fdb\u884c\u95f4\u63a5\u6392\u5e8f\u3002pythonCopy codeimport 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\u641c\u7d22\uff1a\n\nnumpy.argmax()<\/code>\uff1a\u8fd4\u56de\u6cbf\u7ed9\u5b9a\u8f74\u7684\u6700\u5927\u503c\u7684\u7d22\u5f15\u3002pythonCopy codeimport numpy as np arr = np.array([3, 1, 2, 5, 4]) max_index = np.argmax(arr) print(max_index) # \u8f93\u51fa\uff1a3<\/code><\/li>\n\n\n\nnumpy.argmin()<\/code>\uff1a\u8fd4\u56de\u6cbf\u7ed9\u5b9a\u8f74\u7684\u6700\u5c0f\u503c\u7684\u7d22\u5f15\u3002pythonCopy codeimport numpy as np arr = np.array([3, 1, 2, 5, 4]) min_index = np.argmin(arr) print(min_index) # \u8f93\u51fa\uff1a1<\/code><\/li>\n\n\n\nnumpy.where()<\/code>\uff1a\u8fd4\u56de\u6ee1\u8db3\u7ed9\u5b9a\u6761\u4ef6\u7684\u5143\u7d20\u7684\u7d22\u5f15\u3002\u53ef\u4ee5\u7528\u4e8e\u641c\u7d22\u5177\u6709\u7279\u5b9a\u5c5e\u6027\u7684\u6570\u7ec4\u5143\u7d20\u3002pythonCopy codeimport numpy as np arr = np.array([3, 1, 2, 5, 4]) even_indices = np.where(arr % 2 == 0) print(even_indices) # \u8f93\u51fa\uff1a(array([2, 4]),)<\/code><\/li>\n<\/ul>\n<\/li>\n\n\n\n\u8ba1\u6570\uff1a\n\nnumpy.count_nonzero()<\/code>\uff1a\u8ba1\u7b97\u6570\u7ec4\u4e2d\u975e\u96f6\u5143\u7d20\u7684\u6570\u91cf\u3002\u53ef\u4ee5\u7528\u4e8e\u8ba1\u7b97\u6ee1\u8db3\u7279\u5b9a\u6761\u4ef6\u7684\u5143\u7d20\u4e2a\u6570\u3002pythonCopy codeimport numpy as np arr = np.array([3, 1, 2, 5, 4]) even_count = np.count_nonzero(arr % 2 == 0) print(even_count) # \u8f93\u51fa\uff1a2<\/code><\/li>\n\n\n\n
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