{"id":1187,"date":"2023-07-27T08:34:43","date_gmt":"2023-07-27T08:34:43","guid":{"rendered":"https:\/\/statorials.org\/uk\/matplotlib-%d1%82%d0%be%d0%b2%d1%89%d0%b8%d0%bd%d0%b0-%d0%bb%d1%96%d0%bd%d1%96%d1%96\/"},"modified":"2023-07-27T08:34:43","modified_gmt":"2023-07-27T08:34:43","slug":"matplotlib-%d1%82%d0%be%d0%b2%d1%89%d0%b8%d0%bd%d0%b0-%d0%bb%d1%96%d0%bd%d1%96%d1%96","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/matplotlib-%d1%82%d0%be%d0%b2%d1%89%d0%b8%d0%bd%d0%b0-%d0%bb%d1%96%d0%bd%d1%96%d1%96\/","title":{"rendered":"\u042f\u043a \u043d\u0430\u043b\u0430\u0448\u0442\u0443\u0432\u0430\u0442\u0438 \u0442\u043e\u0432\u0449\u0438\u043d\u0443 \u043b\u0456\u043d\u0456\u0457 \u0432 matplotlib"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u043b\u0435\u0433\u043a\u043e \u043d\u0430\u043b\u0430\u0448\u0442\u0443\u0432\u0430\u0442\u0438 \u0442\u043e\u0432\u0449\u0438\u043d\u0443 \u043b\u0456\u043d\u0456\u0439 \u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430\u0445 Matplotlib \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u0443 <b>linewidth<\/b> , \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>matplotlib.pyplot.plot(x, y, linewidth=1,5)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0430 \u0437\u0430\u043c\u043e\u0432\u0447\u0443\u0432\u0430\u043d\u043d\u044f\u043c \u0448\u0438\u0440\u0438\u043d\u0430 \u043b\u0456\u043d\u0456\u0457 \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c 1,5, \u0430\u043b\u0435 \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u043d\u0430\u043b\u0430\u0448\u0442\u0443\u0432\u0430\u0442\u0438 \u0457\u0457 \u043d\u0430 \u0431\u0443\u0434\u044c-\u044f\u043a\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u0431\u0456\u043b\u044c\u0448\u0435 0.<\/span><\/p>\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: \u041d\u0430\u043b\u0430\u0448\u0442\u0443\u0439\u0442\u0435 \u0442\u043e\u0432\u0449\u0438\u043d\u0443 \u043b\u0456\u043d\u0456\u0457<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\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 \u043f\u0440\u043e\u0441\u0442\u0443 \u043b\u0456\u043d\u0456\u0439\u043d\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0442\u0430 \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0438 \u0448\u0438\u0440\u0438\u043d\u0443 \u043b\u0456\u043d\u0456\u0457 \u043d\u0430 3:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt<\/span>\nimport <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span><span style=\"color: #000000;\">x = np. <span style=\"color: #3366ff;\">linspace<\/span> (0, 10, 100)\ny1 = np. <span style=\"color: #3366ff;\">sin<\/span> (x)*np. <span style=\"color: #3366ff;\">exp<\/span> (-x\/3)\n\n<span style=\"color: #008080;\">#create line plot with line width set to 3\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x, y1, linewidth= <span style=\"color: #008000;\">3<\/span> )\n\n<span style=\"color: #008080;\">#displayplot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11835 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/largeur-de-ligne1-1.png\" alt=\"\u041d\u0430\u043b\u0430\u0448\u0442\u0443\u0439\u0442\u0435 \u0448\u0438\u0440\u0438\u043d\u0443 \u043b\u0456\u043d\u0456\u0457 \u0432 matplotlib\" width=\"418\" height=\"277\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2:<\/strong><\/span> <span style=\"color: #000000;\"><strong>\u041d\u0430\u043b\u0430\u0448\u0442\u0443\u0439\u0442\u0435 \u0442\u043e\u0432\u0449\u0438\u043d\u0443 \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u043b\u0456\u043d\u0456\u0439<\/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 \u043d\u0430\u043b\u0430\u0448\u0442\u0443\u0432\u0430\u0442\u0438 \u0442\u043e\u0432\u0449\u0438\u043d\u0443 \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u043b\u0456\u043d\u0456\u0439 \u043e\u0434\u043d\u043e\u0447\u0430\u0441\u043d\u043e:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> as plt<\/span>\nimport <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span><span style=\"color: #000000;\">x = np. <span style=\"color: #3366ff;\">linspace<\/span> (0, 10, 100)\ny1 = np. <span style=\"color: #3366ff;\">sin<\/span> (x)*np. <span style=\"color: #3366ff;\">exp<\/span> (-x\/3)\ny2 = np. <span style=\"color: #3366ff;\">cos<\/span> (x)*np. <span style=\"color: #3366ff;\">exp<\/span> (-x\/5)\n\n<span style=\"color: #008080;\">#create line plot with multiple lines\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x, y1, linewidth= <span style=\"color: #008000;\">3<\/span> )\nplt. <span style=\"color: #3366ff;\">plot<\/span> (x, y2, linewidth= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#displayplot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11836 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/largeur-de-ligne2.png\" alt=\"\u041d\u0430\u043b\u0430\u0448\u0442\u0443\u0439\u0442\u0435 \u043a\u0456\u043b\u044c\u043a\u0430 \u0442\u043e\u0432\u0449\u0438\u043d \u043b\u0456\u043d\u0456\u0439 \u0443 matplotlib \u0443 Python\" width=\"425\" height=\"273\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u041d\u0430\u043b\u0430\u0448\u0442\u0443\u0439\u0442\u0435 \u0442\u043e\u0432\u0449\u0438\u043d\u0443 \u043b\u0456\u043d\u0456\u0439 \u0443 \u043f\u0456\u0434\u043f\u0438\u0441\u0430\u0445<\/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 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0435\u043a\u0456\u043b\u044c\u043a\u0430 \u043b\u0456\u043d\u0456\u0439 \u0440\u0456\u0437\u043d\u043e\u0457 \u0442\u043e\u0432\u0449\u0438\u043d\u0438 \u0442\u0430 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043b\u0435\u0433\u0435\u043d\u0434\u0443, \u044f\u043a\u0430 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u043d\u043e \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0454 \u0442\u043e\u0432\u0449\u0438\u043d\u0443 \u043a\u043e\u0436\u043d\u043e\u0457 \u043b\u0456\u043d\u0456\u0457:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> as plt<\/span>\nimport <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span><span style=\"color: #000000;\">x = np. <span style=\"color: #3366ff;\">linspace<\/span> (0, 10, 100)\ny1 = np. <span style=\"color: #3366ff;\">sin<\/span> (x)*np. <span style=\"color: #3366ff;\">exp<\/span> (-x\/3)\ny2 = np. <span style=\"color: #3366ff;\">cos<\/span> (x)*np. <span style=\"color: #3366ff;\">exp<\/span> (-x\/5)\n\n<span style=\"color: #008080;\">#create line plot with multiple lines\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x,y1,linewidth=3,label=' <span style=\"color: #008000;\">y1<\/span> ')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (x, y2, linewidth=1, label=' <span style=\"color: #008000;\">y2<\/span> ')\n\n<span style=\"color: #008080;\">#add legend\n<\/span>plt. <span style=\"color: #3366ff;\">legend<\/span> ()\n\n<span style=\"color: #008080;\">#displayplot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11837 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/largeur-de-ligne3.png\" alt=\"\u041d\u0430\u043b\u0430\u0448\u0442\u0443\u0439\u0442\u0435 \u0448\u0438\u0440\u0438\u043d\u0443 \u043b\u0456\u043d\u0456\u0457 \u0432 \u043b\u0435\u0433\u0435\u043d\u0434\u0456 matplotlib\" width=\"385\" height=\"254\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/uk\/matplotlib-\u0437\u0430\u043f\u043e\u0432\u043d\u0438\u0442\u0438-\u043c\u0456\u0436\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u042f\u043a \u0437\u0430\u043f\u043e\u0432\u043d\u0438\u0442\u0438 \u043e\u0431\u043b\u0430\u0441\u0442\u0456 \u043c\u0456\u0436 \u043b\u0456\u043d\u0456\u044f\u043c\u0438 \u0432 Matplotlib<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/matplotlib-\u0432\u0438\u0434\u0430\u043b\u044f\u0454-\u0433\u0430\u043b\u043e\u0447\u043a\u0438\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u042f\u043a \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0433\u0430\u043b\u043e\u0447\u043a\u0438 \u0437 \u0433\u0440\u0430\u0444\u0456\u043a\u0456\u0432 Matplotlib<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/matplotlib-\u043b\u0435\u0433\u0435\u043d\u0434\u0430-\u043f\u043e\u0437\u0430-\u0433\u0440\u0430\u0444\u0456\u043a\u043e\u043c\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u042f\u043a \u0440\u043e\u0437\u043c\u0456\u0441\u0442\u0438\u0442\u0438 \u043b\u0435\u0433\u0435\u043d\u0434\u0443 \u0437\u0430 \u043c\u0435\u0436\u0430\u043c\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 Matplotlib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u043b\u0435\u0433\u043a\u043e \u043d\u0430\u043b\u0430\u0448\u0442\u0443\u0432\u0430\u0442\u0438 \u0442\u043e\u0432\u0449\u0438\u043d\u0443 \u043b\u0456\u043d\u0456\u0439 \u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430\u0445 Matplotlib \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u0443 linewidth , \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: matplotlib.pyplot.plot(x, y, linewidth=1,5) \u0417\u0430 \u0437\u0430\u043c\u043e\u0432\u0447\u0443\u0432\u0430\u043d\u043d\u044f\u043c \u0448\u0438\u0440\u0438\u043d\u0430 \u043b\u0456\u043d\u0456\u0457 \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c 1,5, \u0430\u043b\u0435 \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u043d\u0430\u043b\u0430\u0448\u0442\u0443\u0432\u0430\u0442\u0438 \u0457\u0457 \u043d\u0430 \u0431\u0443\u0434\u044c-\u044f\u043a\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u0431\u0456\u043b\u044c\u0448\u0435 0. \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. \u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u041d\u0430\u043b\u0430\u0448\u0442\u0443\u0439\u0442\u0435 \u0442\u043e\u0432\u0449\u0438\u043d\u0443 \u043b\u0456\u043d\u0456\u0457 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043a\u043e\u0434\u0456 [&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 \u043d\u0430\u043b\u0430\u0448\u0442\u0443\u0432\u0430\u0442\u0438 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