{"id":1936,"date":"2023-07-24T09:15:31","date_gmt":"2023-07-24T09:15:31","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bf%d1%80%d0%b8%d1%85%d0%be%d0%b2%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d0%be%d1%81%d1%96-matplotlib\/"},"modified":"2023-07-24T09:15:31","modified_gmt":"2023-07-24T09:15:31","slug":"%d0%bf%d1%80%d0%b8%d1%85%d0%be%d0%b2%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d0%be%d1%81%d1%96-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bf%d1%80%d0%b8%d1%85%d0%be%d0%b2%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d0%be%d1%81%d1%96-matplotlib\/","title":{"rendered":"\u042f\u043a \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u043e\u0441\u0456 \u0432 matplotlib (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)"},"content":{"rendered":"

<\/p>\n

\n

\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u043e\u0441\u0456 \u0432 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430\u0445 Matplotlib:<\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#get current axes<\/span>\nax = plt. gca<\/span> ()\n\n#hide x-axis\n<\/span>ax. get_xaxis<\/span> (). set_visible<\/span> ( False<\/span> )\n\n#hide y-axis \n<\/span>ax. get_yaxis<\/span> (). set_visible<\/span> ( False<\/span> )\n<\/strong><\/pre>\n
 \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u043f\u043e\u043a\u0430\u0437\u0443\u044e\u0442\u044c, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u0432\u0456\u0441\u044c X<\/strong><\/span><\/h3>\n
 \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0440\u043e\u0437\u0441\u0456\u044e\u0432\u0430\u043d\u043d\u044f \u0442\u0430 \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u0432\u0456\u0441\u044c x:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define data<\/span>\nx = [3, 4, 4, 6, 7, 8, 8, 12]\ny = [11, 12, 12, 14, 17, 15, 14, 19]\n\n#create scatterplot<\/span>\nplt. scatter<\/span> (x,y)\n\n#get current axes<\/span>\nax = plt. gca<\/span> ()\n\n#hide x-axis\n<\/span>ax. get_xaxis<\/span> (). set_visible<\/span> ( False<\/span> )\n<\/strong><\/pre>\n
\"\u0421\u0445\u043e\u0432\u0430\u0442\u0438<\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u0432\u0456\u0441\u044c Y<\/strong><\/span><\/h3>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043a\u043e\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0440\u043e\u0437\u0441\u0456\u044e\u0432\u0430\u043d\u043d\u044f \u0442\u0430 \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u0432\u0456\u0441\u044c Y:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define data<\/span>\nx = [3, 4, 4, 6, 7, 8, 8, 12]\ny = [11, 12, 12, 14, 17, 15, 14, 19]\n\n#create scatterplot<\/span>\nplt. scatter<\/span> (x,y)\n\n#get current axes<\/span>\nax = plt. gca<\/span> ()\n\n#hide y-axis\n<\/span>ax. get_yaxis<\/span> (). set_visible<\/span> ( False<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u043e\u0431\u0438\u0434\u0432\u0456 \u043e\u0441\u0456<\/strong><\/span><\/h3>\n
 \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0440\u043e\u0437\u0441\u0456\u044e\u0432\u0430\u043d\u043d\u044f \u0442\u0430 \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u043e\u0441\u0456:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define data<\/span>\nx = [3, 4, 4, 6, 7, 8, 8, 12]\ny = [11, 12, 12, 14, 17, 15, 14, 19]\n\n#create scatterplot<\/span>\nplt. scatter<\/span> (x,y)\n\n#get current axes<\/span>\nax = plt. gca<\/span> ()\n\n#hide x-axis\n<\/span>ax. get_xaxis<\/span> (). set_visible<\/span> ( False<\/span> )\n\n#hide y-axis\n<\/span>ax. get_yaxis<\/span> (). set_visible<\/span> ( False<\/span> )\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 4: \u043f\u043e\u0432\u043d\u0456\u0441\u0442\u044e \u0432\u0438\u0434\u0430\u043b\u0456\u0442\u044c \u043e\u0441\u0456 \u0442\u0430 \u043c\u0435\u0436\u0456<\/strong><\/span><\/h3>\n
 \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u043f\u043e\u0432\u043d\u0456\u0441\u0442\u044e \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u043e\u0441\u0456 \u0442\u0430 \u043c\u0435\u0436\u0456 \u0437 \u0434\u0456\u043b\u044f\u043d\u043a\u0438:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define data<\/span>\nx = [3, 4, 4, 6, 7, 8, 8, 12]\ny = [11, 12, 12, 14, 17, 15, 14, 19]\n\n#create scatterplot<\/span>\nplt. scatter<\/span> (x,y)\n\n#get current axes<\/span>\nax = plt. gca<\/span> ()\n\n#hide axes and borders\nplt. axis<\/span> (' off<\/span> ')<\/span>\n<\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h3>\n
 \u042f\u043a \u0437\u043c\u0456\u043d\u0438\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0433\u0430\u043b\u043e\u0447\u043e\u043a \u0443 Matplotlib<\/a>
 \u042f\u043a \u043e\u0431\u0435\u0440\u0442\u0430\u0442\u0438 \u043f\u043e\u0437\u043d\u0430\u0447\u043a\u0438 \u0433\u0430\u043b\u043e\u0447\u043e\u043a \u0443 Matplotlib<\/a>
 \u042f\u043a \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0438 \u0434\u0456\u0430\u043f\u0430\u0437\u043e\u043d\u0438 \u043e\u0441\u0435\u0439 \u0443 Matplotlib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u043e\u0441\u0456 \u0432 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430\u0445 Matplotlib: import matplotlib. pyplot as plt #get current axes ax = plt. gca () #hide x-axis ax. get_xaxis (). set_visible ( False ) #hide y-axis ax. get_yaxis (). set_visible ( False ) \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u043f\u043e\u043a\u0430\u0437\u0443\u044e\u0442\u044c, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456. \u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u0432\u0456\u0441\u044c […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\n\u042f\u043a \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u043e\u0441\u0456 \u0432 Matplotlib (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u043e\u0441\u0456 \u0432 Matplotlib, \u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\" \/>\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\/uk\/\u043f\u0440\u0438\u0445\u043e\u0432\u0443\u0432\u0430\u043d\u043d\u044f-\u043e\u0441\u0456-matplotlib\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u042f\u043a \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u043e\u0441\u0456 \u0432 Matplotlib (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u043f\u0440\u0438\u0445\u043e\u0432\u0430\u0442\u0438 \u043e\u0441\u0456 \u0432 Matplotlib, \u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/uk\/\u043f\u0440\u0438\u0445\u043e\u0432\u0443\u0432\u0430\u043d\u043d\u044f-\u043e\u0441\u0456-matplotlib\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T09:15:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/cacher0.png\" \/>\n<meta name=\"author\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u0431\u043b. \u0447\u0430\u0441 \u0447\u0438\u0442\u0430\u043d\u043d\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u0445\u0432\u0438\u043b\u0438\u043d\u0430\" \/>\n<script 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