{"id":3305,"date":"2023-07-18T04:22:57","date_gmt":"2023-07-18T04:22:57","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80-%d1%81%d0%b5%d1%80%d0%b8%d0%b8-pandas-%d0%bf%d0%be-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%b8%d1%8e\/"},"modified":"2023-07-18T04:22:57","modified_gmt":"2023-07-18T04:22:57","slug":"%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80-%d1%81%d0%b5%d1%80%d0%b8%d0%b8-pandas-%d0%bf%d0%be-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%b8%d1%8e","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80-%d1%81%d0%b5%d1%80%d0%b8%d0%b8-pandas-%d0%bf%d0%be-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%b8%d1%8e\/","title":{"rendered":"Pandas: \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0435\u0440\u0438\u0438 \u043f\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044e"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0441\u0435\u0440\u0438\u0438 pandas:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 1: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043f\u043e \u043e\u0434\u043d\u043e\u043c\u0443 \u0443\u0441\u043b\u043e\u0432\u0438\u044e<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values equal to 7<\/span>\nmy_series. <span style=\"color: #3366ff;\">loc<\/span> [ <span style=\"color: #008000;\">lambda<\/span> x:x == 7]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 2: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u041b\u0418\u00bb<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values less than 10 <em>or<\/em> greater than 20<\/span>\nmy_series. <span style=\"color: #3366ff;\">loc<\/span> [ <span style=\"color: #008000;\">lambda<\/span> x: (x &lt; 10) | (x &gt; 20)]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 3: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u00bb<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values greater than 10 <i>and<\/i> less than 20<\/span>\nmy_series. <span style=\"color: #3366ff;\">loc<\/span> [ <span style=\"color: #008000;\">lambda<\/span> x: (x &gt; 10) &amp; (x &lt; 20)] \n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 4: \u043e\u0442\u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435\u0441\u044f \u0432 \u0441\u043f\u0438\u0441\u043a\u0435<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values that are equal to 4, 7, or 23<\/span>\nmy_series[my_series. <span style=\"color: #3366ff;\">isin<\/span> ([4, 7, 23])]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435 \u0441\u043e \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c\u0438 \u0441\u0435\u0440\u0438\u044f\u043c\u0438 \u043f\u0430\u043d\u0434:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create pandas Series\n<\/span>data = pd. <span style=\"color: #3366ff;\">Series<\/span> ([4, 7, 7, 12, 19, 23, 25, 30])\n\n<span style=\"color: #008080;\">#view pandas Series\n<\/span><span style=\"color: #008000;\">print<\/span> (data)\n\n0 4\n1 7\n2 7\n3 12\n4 19\n5 23\n6 25\n7 30\ndtype: int64<\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 1. \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043f\u043e \u0443\u0441\u043b\u043e\u0432\u0438\u044e<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0435\u0440\u0438\u044e pandas \u043f\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c, \u0440\u0430\u0432\u043d\u044b\u043c 7:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values equal to 7\n<\/span>data. <span style=\"color: #3366ff;\">loc<\/span> [ <span style=\"color: #008000;\">lambda<\/span> x:x == 7]\n\n1 7\n2 7\ndtype: int64<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0422\u0430\u043a\u0436\u0435 \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f <strong>, \u043d\u0435 \u0440\u0430\u0432\u043d\u044b\u0435<\/strong> 7:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values not equal to 7\n<\/span>data. <span style=\"color: #3366ff;\">loc<\/span> [ <span style=\"color: #008000;\">lambda<\/span> x:x != 7]\n\n0 4\n3 12\n4 19\n5 23\n6 25\n7 30\ndtype: int644<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 2. \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u041b\u0418\u00bb<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0435\u0440\u0438\u044e pandas \u0434\u043b\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043c\u0435\u043d\u044c\u0448\u0435 10 <strong>\u0438\u043b\u0438<\/strong> \u0431\u043e\u043b\u044c\u0448\u0435 20:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values less than 10 <em>or<\/em> greater than 20<\/span>\ndata. <span style=\"color: #3366ff;\">loc<\/span> [ <span style=\"color: #008000;\">lambda<\/span> x: (x &lt; 10) | (x &gt; 20)]\n\n0 4\n1 7\n2 7\n5 23\n6 25\n7 30\ndtype: int64<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 3: \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u00bb<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0435\u0440\u0438\u044e pandas \u043f\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c \u0431\u043e\u043b\u044c\u0448\u0435 10 <strong>\u0438<\/strong> \u043c\u0435\u043d\u044c\u0448\u0435 20:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values greater than 10 <i>and<\/i> less than 20<\/span>\ndata. <span style=\"color: #3366ff;\">loc<\/span> [ <span style=\"color: #008000;\">lambda<\/span> x: (x &gt; 10) &amp; (x &lt; 20)]\n\n3 12\n4 19\ndtype: int64<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 4: \u043e\u0442\u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435\u0441\u044f \u0432 \u0441\u043f\u0438\u0441\u043a\u0435<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0435\u0440\u0438\u044e pandas \u043f\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u043c\u0441\u044f \u0432 \u0441\u043f\u0438\u0441\u043a\u0435:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values that are equal to 4, 7, or 23<\/span>\ndata[data. <span style=\"color: #3366ff;\">isin<\/span> ([4, 7, 23])]\n\n0 4\n1 7\n2 7\n5 23\ndtype: int64\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u0432 Python:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u0441\u0442\u0440\u043e\u043a\u0438-\u0444\u0438\u043b\u044c\u0442\u0440\u0430-pandas,-\u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435-\u0441\u0442\u0440\u043e\u043a\u0443\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 Pandas DataFrame, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/pandas-\u0444\u0438\u043b\u044c\u0442\u0440\u0443\u0435\u0442-\u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e-\u0443\u0441\u043b\u043e\u0432\u0438\u0438\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c DataFrame Pandas \u043f\u043e \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u043c<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435-\u043f\u0430\u043d\u0434\u044b\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0438\u043b\u044c\u0442\u0440 \u00ab\u041d\u0415 \u0412\u00bb \u0432 Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0441\u0435\u0440\u0438\u0438 pandas: \u0421\u043f\u043e\u0441\u043e\u0431 1: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043f\u043e \u043e\u0434\u043d\u043e\u043c\u0443 \u0443\u0441\u043b\u043e\u0432\u0438\u044e #filter for values equal to 7 my_series. loc [ lambda x:x == 7] \u0421\u043f\u043e\u0441\u043e\u0431 2: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u041b\u0418\u00bb #filter for values less than 10 or greater than 20 my_series. loc [ lambda x: (x [&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-3305","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>Pandas: \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0435\u0440\u0438\u0438 \u043f\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044e \u2013 \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a 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content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u043c\u0438\u043d\u0443\u0442\u0430\" \/>\n<script type=\"application\/ld+json\" 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