{"id":1180,"date":"2023-07-27T09:08:03","date_gmt":"2023-07-27T09:08:03","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d1%81%d0%b0%d0%b3%d0%b0%d0%b8%d0%b4%d0%b0%d0%ba-matplotlib\/"},"modified":"2023-07-27T09:08:03","modified_gmt":"2023-07-27T09:08:03","slug":"%d1%81%d0%b0%d0%b3%d0%b0%d0%b8%d0%b4%d0%b0%d0%ba-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d1%81%d0%b0%d0%b3%d0%b0%d0%b8%d0%b4%d0%b0%d0%ba-matplotlib\/","title":{"rendered":"\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0432 matplotlib (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u0413\u0440\u0430\u0444\u0456\u043a \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430<\/strong> \u2014 \u0446\u0435 \u0442\u0438\u043f \u0433\u0440\u0430\u0444\u0456\u043a\u0430, \u044f\u043a\u0438\u0439 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0454 \u0441\u0442\u0440\u0456\u043b\u043a\u0438 \u0437 \u043d\u0430\u043f\u0440\u044f\u043c\u043d\u0438\u043c\u0438 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u0430\u043c\u0438 U \u0456 V \u0443 \u0434\u0435\u043a\u0430\u0440\u0442\u043e\u0432\u0438\u0445 \u043a\u043e\u043e\u0440\u0434\u0438\u043d\u0430\u0442\u0430\u0445, \u0432\u0438\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0445 X \u0456 Y.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u043b\u0435\u0433\u043a\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0432 Matplotlib \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <strong>quiver()<\/strong> , \u044f\u043a\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a (x, y, u, v)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0437\u043e\u043b\u043e\u0442\u043e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x:<\/strong> \u043a\u043e\u043e\u0440\u0434\u0438\u043d\u0430\u0442\u0438 x \u0440\u043e\u0437\u0442\u0430\u0448\u0443\u0432\u0430\u043d\u043d\u044f \u0441\u0442\u0440\u0456\u043b\u043e\u043a<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>y:<\/strong> \u043a\u043e\u043e\u0440\u0434\u0438\u043d\u0430\u0442\u0438 y \u0440\u043e\u0437\u0442\u0430\u0448\u0443\u0432\u0430\u043d\u043d\u044f \u0441\u0442\u0440\u0456\u043b\u043e\u043a<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>u:<\/strong> \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u0438 x \u0432\u0435\u043a\u0442\u043e\u0440\u0456\u0432-\u0441\u0442\u0440\u0456\u043b\u043e\u043a<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>v:<\/strong> \u041a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u0438 y \u0432\u0435\u043a\u0442\u043e\u0440\u0456\u0432-\u0441\u0442\u0440\u0456\u043b\u043e\u043a<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u043a\u0456\u043b\u044c\u043a\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456\u0432 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u043e\u0433\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0446\u0456\u0454\u0457 \u0444\u0443\u043d\u043a\u0446\u0456\u0457.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u043c\u0430\u043b\u044e\u043d\u043e\u043a \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0437 \u043e\u0434\u043d\u0456\u0454\u044e \u0441\u0442\u0440\u0456\u043b\u043e\u044e<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0437\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043e\u0434\u043d\u0456\u0454\u0457 \u0441\u0442\u0440\u0456\u043b\u043a\u0438:<\/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\n<span style=\"color: #008080;\">#define plots<\/span>\nfig, ax = plt. <span style=\"color: #3366ff;\">subplots<\/span> ()\n\n<span style=\"color: #008080;\">#define coordinates and directions\n<\/span>x = 0\ny = 0\nu = 15\nv = 3\n\n<span style=\"color: #008080;\">#create quiver plot\n<\/span>ax. <span style=\"color: #3366ff;\">quiver<\/span> (x, y, u, v)\n\n<span style=\"color: #008080;\">#display quiver plot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11778 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/carquois1.png\" alt=\"\u0413\u0440\u0430\u0444\u0456\u043a \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0432 matplotlib\" width=\"398\" height=\"261\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u043c\u0430\u043a\u0435\u0442 \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0437 \u0434\u0432\u043e\u043c\u0430 \u0441\u0442\u0440\u0456\u043b\u0430\u043c\u0438<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0437\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0437 \u0434\u0432\u043e\u043c\u0430 \u0441\u0442\u0440\u0456\u043b\u043a\u0430\u043c\u0438:<\/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\n<span style=\"color: #008080;\">#define plots<\/span>\nfig, ax = plt. <span style=\"color: #3366ff;\">subplots<\/span> ()\n\n<span style=\"color: #008080;\">#define coordinates and directions\n<\/span>x = [0, 0]\ny = [0, 0]\nu = [0, 1]\nv = [-2, 0]\n<span style=\"color: #008080;\">#create quiver plot\n<\/span>ax. <span style=\"color: #3366ff;\">quiver<\/span> (x, y, u, v, scale = <span style=\"color: #008000;\">10<\/span> )\n\n<span style=\"color: #008080;\">#display quiver plot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11779 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/carquois3.png\" alt=\"\u0421\u0430\u0433\u0430\u0439\u0434\u0430\u043a \u043f\u0456\u0442\u043e\u043d\u0430 \u0437 \u0434\u0432\u043e\u043c\u0430 \u0441\u0442\u0440\u0456\u043b\u0430\u043c\u0438\" width=\"409\" height=\"264\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 <strong>\u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0443<\/strong> \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0443\u0454 \u0441\u0442\u0440\u0456\u043b\u043a\u0438 \u0434\u043e \u0431\u0456\u043b\u044c\u0448\u043e\u0457 \u0434\u043e\u0432\u0436\u0438\u043d\u0438, \u0437\u0430\u0432\u0434\u044f\u043a\u0438 \u0447\u043e\u043c\u0443 \u0457\u0445 \u043b\u0435\u0433\u0448\u0435 \u043f\u043e\u0431\u0430\u0447\u0438\u0442\u0438 \u043d\u0430 \u0433\u0440\u0430\u0444\u0456\u043a\u0443.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u0433\u0440\u0430\u0444\u0456\u043a \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0437 \u0441\u0456\u0442\u0447\u0430\u0441\u0442\u043e\u044e \u0441\u0456\u0442\u043a\u043e\u044e<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0437\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0441\u0456\u0442\u043a\u0438:<\/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> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define plots<\/span>\nfig, ax = plt. <span style=\"color: #3366ff;\">subplots<\/span> ()\n\n<span style=\"color: #008080;\">#define coordinates and directions\n<\/span>x,y = np. <span style=\"color: #3366ff;\">meshgrid<\/span> (np. <span style=\"color: #3366ff;\">arange<\/span> (-2, 2, .1), np. <span style=\"color: #3366ff;\">arange<\/span> (-2, 2, .1))\nz = x*np. <span style=\"color: #3366ff;\">exp<\/span> (-x**2 - y**2)\nv, u = np. <span style=\"color: #3366ff;\">gradient<\/span> (z, .1, .1)\n\n<span style=\"color: #008080;\">#create quiver plot\n<\/span>ax. <span style=\"color: #3366ff;\">quiver<\/span> (x, y, u, v)\n\n<span style=\"color: #008080;\">#display quiver plot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11780 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/carquois4.png\" alt=\"\u0421\u0430\u0433\u0430\u0439\u0434\u0430\u043a Matplotlib\" width=\"436\" height=\"283\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u043f\u043e\u0432\u043d\u0443 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0456\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 quiver() <a href=\"https:\/\/matplotlib.org\/3.3.2\/api\/_as_gen\/matplotlib.pyplot.quiver.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u0442\u0443\u0442<\/a> .<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0413\u0440\u0430\u0444\u0456\u043a \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u2014 \u0446\u0435 \u0442\u0438\u043f \u0433\u0440\u0430\u0444\u0456\u043a\u0430, \u044f\u043a\u0438\u0439 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0454 \u0441\u0442\u0440\u0456\u043b\u043a\u0438 \u0437 \u043d\u0430\u043f\u0440\u044f\u043c\u043d\u0438\u043c\u0438 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u0430\u043c\u0438 U \u0456 V \u0443 \u0434\u0435\u043a\u0430\u0440\u0442\u043e\u0432\u0438\u0445 \u043a\u043e\u043e\u0440\u0434\u0438\u043d\u0430\u0442\u0430\u0445, \u0432\u0438\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0445 X \u0456 Y. \u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u043b\u0435\u0433\u043a\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0432 Matplotlib \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 quiver() , \u044f\u043a\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441: \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a (x, y, u, v) \u0437\u043e\u043b\u043e\u0442\u043e: x: \u043a\u043e\u043e\u0440\u0434\u0438\u043d\u0430\u0442\u0438 x \u0440\u043e\u0437\u0442\u0430\u0448\u0443\u0432\u0430\u043d\u043d\u044f \u0441\u0442\u0440\u0456\u043b\u043e\u043a y: \u043a\u043e\u043e\u0440\u0434\u0438\u043d\u0430\u0442\u0438 y \u0440\u043e\u0437\u0442\u0430\u0448\u0443\u0432\u0430\u043d\u043d\u044f \u0441\u0442\u0440\u0456\u043b\u043e\u043a [&hellip;]<\/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":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0433\u0440\u0430\u0444\u0456\u043a \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0432 Matplotlib (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)<\/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 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0441\u0430\u0433\u0430\u0439\u0434\u0430\u043a\u0430 \u0432 Matplotlib, \u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 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