{"id":4007,"date":"2023-07-14T05:03:41","date_gmt":"2023-07-14T05:03:41","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%bc%d0%be%d1%80%d1%81%d0%ba%d0%b0%d1%8f-%d0%bb%d0%be%d0%b3%d0%b0%d1%80%d0%b8%d1%84%d0%bc%d0%b8%d1%87%d0%b5%d1%81%d0%ba%d0%b0%d1%8f-%d1%88%d0%ba%d0%b0%d0%bb%d0%b0\/"},"modified":"2023-07-14T05:03:41","modified_gmt":"2023-07-14T05:03:41","slug":"%d0%bc%d0%be%d1%80%d1%81%d0%ba%d0%b0%d1%8f-%d0%bb%d0%be%d0%b3%d0%b0%d1%80%d0%b8%d1%84%d0%bc%d0%b8%d1%87%d0%b5%d1%81%d0%ba%d0%b0%d1%8f-%d1%88%d0%ba%d0%b0%d0%bb%d0%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%bc%d0%be%d1%80%d1%81%d0%ba%d0%b0%d1%8f-%d0%bb%d0%be%d0%b3%d0%b0%d1%80%d0%b8%d1%84%d0%bc%d0%b8%d1%87%d0%b5%d1%81%d0%ba%d0%b0%d1%8f-%d1%88%d0%ba%d0%b0%d0%bb%d0%b0\/","title":{"rendered":"\u041a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u0443\u044e \u0448\u043a\u0430\u043b\u0443 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0430\u0445 \u0441\u0438\u0431\u043e\u0440\u043d\u0430"},"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 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 <b>plt.xscale()<\/b> \u0438 <strong>plt.yscale()<\/strong> \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0430 \u0434\u043b\u044f \u043e\u0441\u0435\u0439 X \u0438 Y \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u043e \u043d\u0430 \u043c\u043e\u0440\u0441\u043a\u043e\u043c \u0433\u0440\u0430\u0444\u0438\u043a\u0435:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with log scale on both axes\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\nplt. <span style=\"color: #3366ff;\">xscale<\/span> ('log')\nplt. <span style=\"color: #3366ff;\">yscale<\/span> ('log')<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440. \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0430 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0435 \u0421\u0438\u0431\u043e\u0440\u043d\u0430.<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 DataFrame pandas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">x<\/span> ': [2, 5, 6, 7, 9, 13, 14, 16, 18],\n                   ' <span style=\"color: #ff0000;\">y<\/span> ': [200, 1700, 2300, 2500, 2800, 2900, 3400, 3900, 11000]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n    xy\n0 2 200\n1 5 1700\n2 6 2300\n3 7 2500\n4 9 2800\n5 13 2900\n6 14 3400\n7 16 3900\n8 18 11000<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e <strong>scatterplot()<\/strong> \u0432 seaborn \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u0440\u0430\u0441\u0441\u0435\u044f\u043d\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u043b\u0438\u043d\u0435\u0439\u043d\u044b\u0439 \u043c\u0430\u0441\u0448\u0442\u0430\u0431 \u043a\u0430\u043a \u043f\u043e \u043e\u0441\u0438 X, \u0442\u0430\u043a \u0438 \u043f\u043e \u043e\u0441\u0438 Y:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with default axis scales\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-32053 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/journaux1.jpg\" alt=\"\" width=\"554\" height=\"404\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u0427\u0442\u043e\u0431\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u0443\u044e \u0448\u043a\u0430\u043b\u0443 \u0442\u043e\u043b\u044c\u043a\u043e \u0434\u043b\u044f \u043e\u0441\u0438 Y, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with log scale on y-axis\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\nplt. <span style=\"color: #3366ff;\">yscale<\/span> ('log')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-32054\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/journaux2.jpg\" alt=\"\u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u0448\u043a\u0430\u043b\u0430\" width=\"546\" height=\"414\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043e\u0441\u044c Y \u0442\u0435\u043f\u0435\u0440\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043c\u0430\u0441\u0448\u0442\u0430\u0431.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u0443\u044e \u0448\u043a\u0430\u043b\u0443 \u043f\u043e \u043e\u0441\u0438 X, \u0435\u0441\u043b\u0438 \u0445\u043e\u0442\u0438\u043c:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with log scale on both axes\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\nplt. <span style=\"color: #3366ff;\">yscale<\/span> (' <span style=\"color: #ff0000;\">log<\/span> ')\nplt. <span style=\"color: #3366ff;\">xscale<\/span> (' <span style=\"color: #ff0000;\">log<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-32055 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/journaux3.jpg\" alt=\"\" width=\"545\" height=\"418\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043e\u0431\u0435 \u043e\u0441\u0438 \u0442\u0435\u043f\u0435\u0440\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 \u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043c\u0430\u0441\u0448\u0442\u0430\u0431.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0439 \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b:<\/strong> <a href=\"https:\/\/statorials.org\/ru\/\u043a\u043e\u0433\u0434\u0430-\u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c-\u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u0443\u044e-\u0448\u043a\u0430\u043b\u0443\/\" target=\"_blank\" rel=\"noopener\">\u041a\u043e\u0433\u0434\u0430 \u0441\u043b\u0435\u0434\u0443\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u0443\u044e \u0448\u043a\u0430\u043b\u0443 \u043d\u0430 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0430\u0445?<\/a><\/span><\/p>\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 \u0437\u0430\u0434\u0430\u0447\u0438 \u0432 Seaborn:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u043c\u043e\u0440\u0441\u043a\u043e\u0438-\u0442\u0438\u0442\u0443\u043b\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0434\u043e\u0431\u0430\u0432\u0438\u0442\u044c \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a \u043a \u0443\u0447\u0430\u0441\u0442\u043a\u0430\u043c Seaborn<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043c\u0435\u0442\u043a\u0438-\u043e\u0441\u0438-\u0432\u0440\u0430\u0449\u0435\u043d\u0438\u044f-seaborn\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u043f\u043e\u0432\u0435\u0440\u043d\u0443\u0442\u044c \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0435\u0439 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0430\u0445 \u0421\u0438\u0431\u043e\u0440\u043d\u0430<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u044d\u0442\u0438\u043a\u0435\u0442\u043a\u0438-\u043c\u043e\u0440\u0441\u043a\u0438\u0445-\u043e\u0441\u0435\u0438\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0435\u0439 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0435 \u0421\u0438\u0431\u043e\u0440\u043d\u0430<\/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 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 plt.xscale() \u0438 plt.yscale() \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0430 \u0434\u043b\u044f \u043e\u0441\u0435\u0439 X \u0438 Y \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u043e \u043d\u0430 \u043c\u043e\u0440\u0441\u043a\u043e\u043c \u0433\u0440\u0430\u0444\u0438\u043a\u0435: import matplotlib. pyplot as plt import seaborn as sns #create scatterplot with log scale on both axes sns. scatterplot (data=df, x=&#8217; x &#8216;, y=&#8217; y &#8216;) plt. xscale (&#8216;log&#8217;) plt. yscale (&#8216;log&#8217;) \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 [&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-4007","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>\u041a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043b\u043e\u0433\u0430\u0440\u0438\u0444\u043c\u0438\u0447\u0435\u0441\u043a\u0443\u044e \u0448\u043a\u0430\u043b\u0443 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0430\u0445 \u0421\u0438\u0431\u043e\u0440\u043d\u0430 - Statorials<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 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