{"id":903,"date":"2023-07-28T09:10:08","date_gmt":"2023-07-28T09:10:08","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%95%b0%e5%ad%97%e5%8c%96-numpy\/"},"modified":"2023-07-28T09:10:08","modified_gmt":"2023-07-28T09:10:08","slug":"%e6%95%b0%e5%ad%97%e5%8c%96-numpy","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%95%b0%e5%ad%97%e5%8c%96-numpy\/","title":{"rendered":"\u5982\u4f55\u4f7f\u7528 numpy.digitize() \u5728 python \u4e2d\u5bf9\u53d8\u91cf\u8fdb\u884c\u5206\u7ec4"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u6709\u5174\u8da3\u5c06\u53d8\u91cf\u7684\u503c\u653e\u5165 Python \u4e2d\u7684\u201cbins\u201d\u4e2d\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528<a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.digitize.html\" target=\"_blank\" rel=\"noopener\">numpy.digitize()<\/a>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u505a\u5230\u8fd9\u4e00\u70b9\uff0c\u8be5\u51fd\u6570\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff1a<br \/><\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">numpy.digitize(x, bins, right=False)<\/span><\/strong><\/p>\n<p><span style=\"color: #000000;\">\u91d1\u5b50\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x\uff1a<\/strong>\u6570\u7ec4\u5230\u7ec4\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>bins\uff1a<\/strong> bins \u6570\u7ec4\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>right\uff1a<\/strong>\u6307\u793a\u95f4\u9694\u662f\u5426\u5305\u62ec bin \u7684\u53f3\u8fb9\u7f18\u6216\u5de6\u8fb9\u7f18\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u8be5\u533a\u95f4\u4e0d\u5305\u62ec\u53f3\u8fb9\u7f18\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u5c55\u793a\u4e86\u6b64\u529f\u80fd\u5b9e\u9645\u4f7f\u7528\u7684\u51e0\u4e2a\u793a\u4f8b\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b1\uff1a\u5c06\u6240\u6709\u503c\u653e\u5165\u4e24\u4e2abin\u4e2d<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u6570\u7ec4\u7684\u503c\u653e\u5165\u4e24\u4e2a\u5bb9\u5668\u4e2d\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5982\u679c x &lt; 20\uff0c\u5219\u4e3a<strong>0<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u5982\u679c x \u2265 20\uff0c\u5219\u4e3a<strong>1<\/strong><\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create data<\/span>\ndata = [2, 4, 4, 7, 12, 14, 19, 20, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[20])\n\narray([0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1])\n<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b2\uff1a\u5c06\u6240\u6709\u503c\u653e\u5165\u4e09\u4e2abin\u4e2d<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u6570\u7ec4\u7684\u503c\u653e\u5165\u4e09\u4e2a\u5bb9\u5668\u4e2d\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5982\u679c x &lt; 10\uff0c\u5219\u4e3a<strong>0<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u5982\u679c 10 \u2264 x &lt; 20\uff0c\u5219\u4e3a<strong>1<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u5982\u679c x \u2265 20\uff0c\u5219\u4e3a<strong>2<\/strong><\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create data<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20])\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 2, 2])<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u5982\u679c\u6211\u4eec\u6307\u5b9a right= <strong>True<\/strong>\u90a3\u4e48\u8fd9\u4e9b\u503c\u5c06\u88ab\u653e\u7f6e\u5728\u4ee5\u4e0b\u5bb9\u5668\u4e2d\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5982\u679c x \u2264 10\uff0c\u5219\u4e3a<strong>0<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u5982\u679c 10 &lt; x \u2264 20\uff0c\u5219\u4e3a<strong>1<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u5982\u679c x &gt; 20\uff0c\u5219\u4e3a<strong>2<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6bcf\u4e2a\u95f4\u9694\u5c06\u5305\u62ec\u7bb1\u7684\u53f3\u8fb9\u7f18\u3002\u5b83\u770b\u8d77\u6765\u662f\u8fd9\u6837\u7684\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20], right= <span style=\"color: #008000;\">True<\/span> )\n\narray([0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 2])<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b3\uff1a\u5c06\u6240\u6709\u503c\u653e\u5165\u56db\u4e2abin\u4e2d<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u6570\u7ec4\u7684\u503c\u653e\u5165\u4e09\u4e2a\u5bb9\u5668\u4e2d\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5982\u679c x &lt; 10\uff0c\u5219\u4e3a<strong>0<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u5982\u679c 10 \u2264 x &lt; 20\uff0c\u5219\u4e3a<strong>1<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u5982\u679c 20 \u2264 x &lt; 30\uff0c\u5219\u4e3a<strong>2<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>3<\/strong>\u5982\u679c x \u2265 30<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20, 30])\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 3, 3])\n<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b4\uff1a\u7edf\u8ba1\u6bcf\u4e2abin\u7684\u9891\u7387<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u53e6\u4e00\u4e2a\u6709\u7528\u7684 NumPy \u51fd\u6570\u662f numpy.digitize() \u51fd\u6570\u7684\u8865\u5145\uff0c\u5b83\u662f<a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.bincount.html#numpy.bincount\" target=\"_blank\" rel=\"noopener\">numpy.bincount()<\/a>\u51fd\u6570\uff0c\u5b83\u8ba1\u7b97\u6bcf\u4e2a bin \u7684\u9891\u7387\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u6570\u7ec4\u7684\u503c\u5206\u4e3a\u4e09\u7ec4\uff0c\u7136\u540e\u7edf\u8ba1\u6bcf\u7ec4\u7684\u9891\u7387\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">bin_data = np. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20])\n\n<span style=\"color: #008080;\">#view binned data<\/span>\nbin_data\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 2, 2])\n\n<span style=\"color: #008080;\">#count frequency of each bin\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">bincount<\/span> (bin_data)\n\narray([4, 2, 5])\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8f93\u51fa\u544a\u8bc9\u6211\u4eec\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Bin\u201c0\u201d\u5305\u542b<strong>4 \u4e2a<\/strong>\u6570\u636e\u503c\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u4ed3\u201c1\u201d\u5305\u542b<strong>2 \u4e2a<\/strong>\u6570\u636e\u503c\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u4ed3\u201c2\u201d\u5305\u542b<strong>5 \u4e2a<\/strong>\u6570\u636e\u503c\u3002<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><em><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/cn\/\u7edf\u8ba1\u5b66\u4ee5\u7b80\u5355\u76f4\u63a5\u7684\u65b9\u5f0f\u89e3\u91ca\u6982\u5ff5\uff0c\u6211\u4eec\u4f7f\u5b66\u4e60\u7edf\u8ba1\u53d8\u5f97\u66f4\u5bb9\u6613\/\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u67e5\u627e\u66f4\u591a Python \u6559\u7a0b\u3002<\/span><\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u6709\u5174\u8da3\u5c06\u53d8\u91cf\u7684\u503c\u653e\u5165 Python \u4e2d\u7684\u201cbins\u201d\u4e2d\u3002 \u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528numpy.digitiz [&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-903","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\u4f7f\u7528 numpy.digitize() \u5728 Python \u4e2d\u5bf9\u53d8\u91cf\u8fdb\u884c\u5206\u7ec4 - Statorials<\/title>\n<meta name=\"description\" content=\"\u5173\u4e8e\u5982\u4f55\u4f7f\u7528 numpy.digitize() \u51fd\u6570\u5bf9 Python \u4e2d\u7684\u53d8\u91cf\u8fdb\u884c\u5206\u7ec4\u7684\u7b80\u5355\u8bf4\u660e\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\/\u6570\u5b57\u5316-numpy\/\" 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