{"id":2574,"date":"2023-07-21T16:28:02","date_gmt":"2023-07-21T16:28:02","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e9%ba%bb%e6%9c%a8%e7%a7%bb%e4%bd%8d\/"},"modified":"2023-07-21T16:28:02","modified_gmt":"2023-07-21T16:28:02","slug":"%e9%ba%bb%e6%9c%a8%e7%a7%bb%e4%bd%8d","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e9%ba%bb%e6%9c%a8%e7%a7%bb%e4%bd%8d\/","title":{"rendered":"\u5982\u4f55\u79fb\u52a8 numpy \u6570\u7ec4\u4e2d\u7684\u5143\u7d20\uff08\u5e26\u6709\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u4e4b\u4e00\u6765\u504f\u79fb NumPy \u6570\u7ec4\u7684\u5143\u7d20\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5\u4e00\uff1a\u79fb\u4f4d\u5143\u7d20\uff08\u4fdd\u7559\u6240\u6709\u539f\u59cb\u5143\u7d20\uff09<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#shift each element two positions to the right<\/span>\ndata_new = np. <span style=\"color: #3366ff;\">roll<\/span> (data, 2)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5\u4e8c\uff1aShift elements\uff08\u5141\u8bb8\u5143\u7d20\u88ab\u66ff\u6362\uff09<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#define shifting function<\/span>\n<span style=\"color: #008000;\">def<\/span> <span style=\"color: #3366ff;\">shift_elements<\/span> (arr, num, fill_value):\n    result = np. <span style=\"color: #3366ff;\">empty_like<\/span> (arr)\n    <span style=\"color: #008000;\">if<\/span> num &gt; 0:\n        result[:num] = fill_value\n        result[num:] = arr[:-num]\n    <span style=\"color: #008000;\">elif<\/span> num &lt; 0:\n        result[num:] = fill_value\n        result[:num] = arr[-num:]\n    <span style=\"color: #008000;\">else<\/span> :\n        result[:] = arr\n    <span style=\"color: #008000;\">return<\/span> result\n\n<span style=\"color: #008080;\">#shift each element two positions to the right (replace shifted elements with zero)\n<\/span>data_new = shift_elements(data, 2, 0)\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6bcf\u79cd\u65b9\u6cd5\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5\u4e00\uff1a\u79fb\u4f4d\u5143\u7d20\uff08\u4fdd\u7559\u6240\u6709\u539f\u59cb\u5143\u7d20\uff09<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u5982\u4f55\u4f7f\u7528<a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.roll.html\" target=\"_blank\" rel=\"noopener\">np.roll()<\/a>\u51fd\u6570\u5c06 NumPy \u6570\u7ec4\u7684\u6bcf\u4e2a\u5143\u7d20\u5411\u53f3\u79fb\u52a8\u4e24\u4e2a\u4f4d\u7f6e\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create NumPy array\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 2, 3, 4, 5, 6])\n\n<span style=\"color: #008080;\">#shift each element two positions to the right\n<\/span>data_new = np. <span style=\"color: #3366ff;\">roll<\/span> (data, 2)\n\n<span style=\"color: #008080;\">#view new NumPy array\n<\/span>data_new\n\narray([5, 6, 1, 2, 3, 4])\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6bcf\u4e2a\u5143\u7d20\u5df2\u5411\u53f3\u79fb\u52a8\u4e24\u4e2a\u4f4d\u7f6e\uff0c\u5e76\u4e14\u6570\u7ec4\u672b\u5c3e\u7684\u5143\u7d20\u53ea\u662f\u5411\u524d\u79fb\u52a8\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u5728<strong>np.roll()<\/strong>\u51fd\u6570\u4e2d\u4f7f\u7528\u8d1f\u6570\u5c06\u5143\u7d20\u5411\u5de6\u79fb\u52a8\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create NumPy array\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 2, 3, 4, 5, 6])\n\n<span style=\"color: #008080;\">#shift each element three positions to the left\n<\/span>data_new = np. <span style=\"color: #3366ff;\">roll<\/span> (data, -3)\n\n<span style=\"color: #008080;\">#view new NumPy array\n<\/span>data_new\n\narray([4, 5, 6, 1, 2, 3])<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5\u4e8c\uff1aShift elements\uff08\u5141\u8bb8\u5143\u7d20\u88ab\u66ff\u6362\uff09<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u5b9a\u4e49\u4e00\u4e2a\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u79fb\u52a8 NumPy \u6570\u7ec4\u7684\u5143\u7d20\uff0c\u5e76\u5141\u8bb8\u79fb\u52a8\u7684\u5143\u7d20\u88ab\u67d0\u4e2a\u503c\u66ff\u6362\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9a\u4e49\u4ee5\u4e0b\u51fd\u6570\u6765\u5bf9\u5143\u7d20\u8fdb\u884c\u79fb\u4f4d\uff0c\u5e76\u5c06\u6240\u6709\u79fb\u4f4d\u540e\u7684\u5143\u7d20\u66ff\u6362\u4e3a\u503c 0\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create NumPy array\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 2, 3, 4, 5, 6])\n\n<span style=\"color: #008080;\">#define custom function to shift elements\n<\/span><span style=\"color: #008000;\">def<\/span> <span style=\"color: #3366ff;\">shift_elements<\/span> (arr, num, fill_value):\n    result = np. <span style=\"color: #3366ff;\">empty_like<\/span> (arr)\n    <span style=\"color: #008000;\">if<\/span> num &gt; 0:\n        result[:num] = fill_value\n        result[num:] = arr[:-num]\n    <span style=\"color: #008000;\">elif<\/span> num &lt; 0:\n        result[num:] = fill_value\n        result[:num] = arr[-num:]\n    <span style=\"color: #008000;\">else<\/span> :\n        result[:] = arr\n    <span style=\"color: #008000;\">return<\/span> result\n\n<span style=\"color: #008080;\">#shift each element two positions to the right and replace shifted values with zero\n<\/span>data_new = shift_elements(data, 2, 0)\n\n<span style=\"color: #008080;\">#view new NumPy array\n<\/span>data_new\n\narray([0, 0, 1, 2, 3, 4])<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u5728\u51fd\u6570\u4e2d\u4f7f\u7528\u8d1f\u6570\u5c06\u5143\u7d20\u5411\u5de6\u79fb\u52a8\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create NumPy array\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 2, 3, 4, 5, 6])\n\n<span style=\"color: #008080;\">#define custom function to shift elements\n<\/span><span style=\"color: #008000;\">def<\/span> <span style=\"color: #3366ff;\">shift_elements<\/span> (arr, num, fill_value):\n    result = np. <span style=\"color: #3366ff;\">empty_like<\/span> (arr)\n    <span style=\"color: #008000;\">if<\/span> num &gt; 0:\n        result[:num] = fill_value\n        result[num:] = arr[:-num]\n    <span style=\"color: #008000;\">elif<\/span> num &lt; 0:\n        result[num:] = fill_value\n        result[:num] = arr[-num:]\n    <span style=\"color: #008000;\">else<\/span> :\n        result[:] = arr\n    <span style=\"color: #008000;\">return<\/span> result\n\n<span style=\"color: #008080;\">#shift each element three positions to the left and replace shifted values with 50\n<\/span>data_new = shift_elements(data, -3, 50)\n\n<span style=\"color: #008080;\">#view new NumPy array\n<\/span>data_new\n\narray([ 4, 5, 6, 50, 50, 50])<\/strong><\/span><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 NumPy \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u6570\u5b57\u8d26\u6237\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8ba1\u7b97 NumPy \u4e2d\u5143\u7d20\u51fa\u73b0\u7684\u6b21\u6570<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/numpy-\u6309\u5217\u5bf9\u6570\u7ec4\u8fdb\u884c\u6392\u5e8f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u6309\u5217\u5bf9 NumPy \u6570\u7ec4\u8fdb\u884c\u6392\u5e8f<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6570\u5b57\u6a21\u5f0f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8ba1\u7b97 NumPy \u6570\u7ec4\u7684\u4f17\u6570<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u4e4b\u4e00\u6765\u504f\u79fb NumPy \u6570\u7ec4\u7684\u5143\u7d20\uff1a \u65b9\u6cd5\u4e00\uff1a\u79fb\u4f4d\u5143\u7d20\uff08\u4fdd\u7559\u6240\u6709\u539f\u59cb\u5143\u7d20\uff09 #shift e [&hellip;]<\/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-2574","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u79fb\u52a8 NumPy \u6570\u7ec4\u4e2d\u7684\u5143\u7d20\uff08\u5e26\u6709\u793a\u4f8b\uff09-Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u4fee\u590d Python \u4e2d\u7684\u4ee5\u4e0b\u9519\u8bef\uff1a\u4ec5\u63a5\u53d7 2 \u4e2a\u975e\u5173\u952e\u5b57\u53c2\u6570\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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