{"id":4374,"date":"2023-07-11T15:16:21","date_gmt":"2023-07-11T15:16:21","guid":{"rendered":"https:\/\/statorials.org\/cn\/numpy-arange-%e5%8c%85%e6%8b%ac%e7%ab%af%e7%82%b9\/"},"modified":"2023-07-11T15:16:21","modified_gmt":"2023-07-11T15:16:21","slug":"numpy-arange-%e5%8c%85%e6%8b%ac%e7%ab%af%e7%82%b9","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/numpy-arange-%e5%8c%85%e6%8b%ac%e7%ab%af%e7%82%b9\/","title":{"rendered":"Numpy\uff1a\u5982\u4f55\u4f7f\u7528\u6392\u5217\u548c\u5305\u542b\u7aef\u70b9"},"content":{"rendered":"

<\/p>\n

\n

NumPy arange<\/strong>\u51fd\u6570\u53ef\u7528\u4e8e\u521b\u5efa\u503c\u5e8f\u5217\u3002<\/span><\/p>\n

\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u6b64\u51fd\u6570\u4e0d\u5305\u62ec\u503c\u5e8f\u5217\u4e2d\u7684\u7aef\u70b9\u3002<\/span><\/p>\n

\u6709\u4e24\u79cd\u65b9\u6cd5\u53ef\u4ee5\u89e3\u51b3\u6b64\u95ee\u9898\uff1a<\/span><\/p>\n

\u65b9\u6cd5\u4e00\uff1a\u7ed9\u7aef\u70b9\u6dfb\u52a0\u6b65\u957f<\/strong><\/span><\/p>\n

 n.p. arange<\/span> (start, stop + step, step)<\/span><\/span><\/strong><\/pre>\n
\u65b9\u6cd52\uff1a\u4f7f\u7528linspace\u51fd\u6570\u4ee3\u66ff<\/strong><\/span><\/p>\n
 n.p. linspace<\/span> (start, stop, num)<\/span><\/span><\/strong><\/pre>\n
\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6bcf\u79cd\u65b9\u6cd5\u3002<\/span><\/p>\n
\u793a\u4f8b 1\uff1a\u4e3a\u7aef\u70b9\u6dfb\u52a0\u6b65\u957f<\/strong><\/span><\/h2>\n
\u5047\u8bbe\u6211\u4eec\u8981\u521b\u5efa\u4e00\u4e2a\u4ece 0 \u5230 50 \u7684\u503c\u5e8f\u5217\uff0c\u6b65\u957f\u4e3a 5\u3002<\/span><\/p>\n
\u5982\u679c\u6211\u4eec\u4f7f\u7528 NumPy arange<\/strong>\u51fd\u6570\uff0c\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u7aef\u70b9 50 \u5c06\u4e0d\u4f1a\u5305\u542b\u5728\u5e8f\u5217\u4e2d\uff1a<\/span><\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#specify start, stop, and step size\n<\/span>start = 0\nstop = 50\nstep = 5\n\n#create array\n<\/span>n.p. arange<\/span> (start, stop, step)\n\narray([ 0, 5, 10, 15, 20, 25, 30, 35, 40, 45])\n<\/span><\/span><\/strong><\/pre>\n
\u8981\u5305\u542b\u7ec8\u70b9 50\uff0c\u6211\u4eec\u53ef\u4ee5\u7b80\u5355\u5730\u5c06\u6b65\u957f\u6dfb\u52a0\u5230stop<\/strong>\u53c2\u6570\uff1a<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#specify start, stop, and step size\n<\/span>start = 0\nstop = 50\nstep = 5\n\n#create array\n<\/span>n.p. arange<\/span> (start, stop + step, step)\n\narray([ 0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50])\n<\/span><\/span><\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c\u7aef\u70b9 50 \u73b0\u5728\u5305\u542b\u5728\u503c\u5e8f\u5217\u4e2d\u3002<\/span><\/p>\n
\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5\u5728\u6b64\u5904<\/a>\u627e\u5230 NumPy arange()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n
\u793a\u4f8b 2\uff1a\u6539\u7528 linspace \u51fd\u6570<\/strong><\/span><\/h2>\n
\u521b\u5efa\u503c\u5e8f\u5217\u5e76\u5305\u542b\u7aef\u70b9\u7684\u53e6\u4e00\u79cd\u65b9\u6cd5\u662f\u4f7f\u7528 NumPy linspace<\/strong>\u51fd\u6570\uff0c\u8be5\u51fd\u6570\u9ed8\u8ba4\u5305\u542b\u7aef\u70b9\u3002<\/span><\/p>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u8be5\u51fd\u6570\u521b\u5efa\u4ece 0 \u5230 50 \u7684\u503c\u5e8f\u5217\uff1a<\/p>\n
 import<\/span> numpy as<\/span> np\n\n#specify start, stop, and number of total values in sequence\n<\/span>start = 0\nstop = 50\nnum = 11\n\n#create array\n<\/span>n.p. linspace<\/span> (start, stop, num)\n\narray([ 0., 5., 10., 15., 20., 25., 30., 35., 40., 45., 50.])\n<\/span><\/span><\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c\u7aef\u70b9 50 \u5305\u542b\u5728\u9ed8\u8ba4\u503c\u5e8f\u5217\u4e2d\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 NumPy \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n
\u5982\u4f55\u7528\u503c\u586b\u5145 NumPy \u6570\u7ec4<\/a>
\u5982\u4f55\u66ff\u6362 NumPy \u6570\u7ec4\u4e2d\u7684\u5143\u7d20<\/a>
\u5982\u4f55\u8ba1\u7b97 NumPy \u6570\u7ec4\u4e2d\u7684\u552f\u4e00\u503c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
NumPy arange\u51fd\u6570\u53ef\u7528\u4e8e\u521b\u5efa\u503c\u5e8f\u5217\u3002 \u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u6b64\u51fd\u6570\u4e0d\u5305\u62ec\u503c\u5e8f\u5217\u4e2d\u7684\u7aef\u70b9\u3002 \u6709\u4e24\u79cd\u65b9\u6cd5\u53ef\u4ee5\u89e3\u51b3\u6b64 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-4374","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\nNumPy\uff1a\u5982\u4f55\u4f7f\u7528\u8303\u56f4\u5e76\u5305\u542b\u7aef\u70b9 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u793a\u4f8b\u8bf4\u660e\u5982\u4f55\u4f7f\u7528 NumPy arange \u51fd\u6570\u5e76\u5c06\u7aef\u70b9\u4f5c\u4e3a\u503c\u5305\u542b\u5728\u6570\u7ec4\u4e2d\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/numpy-arange-\u5305\u62ec\u7aef\u70b9\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NumPy\uff1a\u5982\u4f55\u4f7f\u7528\u8303\u56f4\u5e76\u5305\u542b\u7aef\u70b9 - 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\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5\u5728\u6b64\u5904<\/a>\u627e\u5230 NumPy arange()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n