{"id":15340,"date":"2024-01-11T04:49:35","date_gmt":"2024-01-11T01:19:35","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/plotly-bar-plot-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%85%d8%ab%d8%a7%d9%84\/"},"modified":"2024-01-11T04:49:35","modified_gmt":"2024-01-11T01:19:35","slug":"plotly-bar-plot-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%85%d8%ab%d8%a7%d9%84","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/plotly-bar-plot-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%85%d8%ab%d8%a7%d9%84\/","title":{"rendered":"Plotly Bar Plot &#8211; \u0622\u0645\u0648\u0632\u0634 \u0648 \u0645\u062b\u0627\u0644"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/plotly-bar-plot-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%85%d8%ab%d8%a7%d9%84\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/plotly-bar-plot-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%85%d8%ab%d8%a7%d9%84\/#%d8%a8%d8%a7_%d9%be%d9%84%d8%a7%d8%aa%d9%84%db%8c_%db%8c%da%a9_%d9%be%d9%84%d8%a7%d8%aa_%d9%86%d9%88%d8%a7%d8%b1%db%8c_%d8%b1%d8%a7_%d8%b7%d8%b1%d8%a7%d8%ad%db%8c_%da%a9%d9%86%db%8c%d8%af\" >\u0628\u0627 \u067e\u0644\u0627\u062a\u0644\u06cc \u06cc\u06a9 \u067e\u0644\u0627\u062a \u0646\u0648\u0627\u0631\u06cc \u0631\u0627 \u0637\u0631\u0627\u062d\u06cc \u06a9\u0646\u06cc\u062f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/plotly-bar-plot-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%85%d8%ab%d8%a7%d9%84\/#%d8%aa%d8%ba%db%8c%db%8c%d8%b1_%d8%b1%d9%86%da%af_%d8%b7%d8%b1%d8%ad_%d9%86%d9%88%d8%a7%d8%b1_%d8%a8%d8%a7_plotly\" >\u062a\u063a\u06cc\u06cc\u0631 \u0631\u0646\u06af \u0637\u0631\u062d \u0646\u0648\u0627\u0631 \u0628\u0627 Plotly<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/plotly-bar-plot-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%85%d8%ab%d8%a7%d9%84\/#plot_grouped_bar_plot_with_plotly\" >Plot Grouped Bar Plot with Plotly<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/plotly-bar-plot-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%85%d8%ab%d8%a7%d9%84\/#%db%8c%da%a9_%d9%be%d9%84%d8%a7%d8%aa_%d9%86%d9%88%d8%a7%d8%b1_%d8%a7%d9%81%d9%82%db%8c_%d8%a8%d8%a7_%d9%be%d9%84%d8%a7%d8%aa%d9%84%db%8c_%d8%aa%d8%b1%d8%b3%db%8c%d9%85_%da%a9%d9%86%db%8c%d8%af\" >\u06cc\u06a9 \u067e\u0644\u0627\u062a \u0646\u0648\u0627\u0631 \u0627\u0641\u0642\u06cc \u0628\u0627 \u067e\u0644\u0627\u062a\u0644\u06cc \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u062f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/plotly-bar-plot-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%85%d8%ab%d8%a7%d9%84\/#%d8%b3%d9%81%d8%a7%d8%b1%d8%b4_%d8%b2%d9%85%db%8c%d9%86_%d9%87%d8%a7%db%8c_%d8%a8%d8%a7%d8%b1_%d8%af%d8%b1_%d9%be%d9%84%d8%a7%d8%aa%d9%84%db%8c\" >\u0633\u0641\u0627\u0631\u0634 \u0632\u0645\u06cc\u0646 \u0647\u0627\u06cc \u0628\u0627\u0631 \u062f\u0631 \u067e\u0644\u0627\u062a\u0644\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/plotly-bar-plot-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%85%d8%ab%d8%a7%d9%84\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87\" >\u0646\u062a\u06cc\u062c\u0647<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 6<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><em>\u062a\u0648\u0637\u0626\u0647<\/em> \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062c\u0627\u0648\u0627 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0627\u0633\u062a \u06a9\u0647 \u0645\u062a\u0645\u0631\u06a9\u0632 \u0627\u0633\u062a \u0631\u0648\u06cc <em>\u062f\u0631 \u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u0648\u062f\u0646<\/em> \u0648 <em>\u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0648\u0628<\/em> \u062a\u062c\u0633\u0645 \u0647\u0627  \u0627\u06cc\u0646 \u0633\u0627\u062f\u06af\u06cc Seaborn\u060c \u0628\u0627 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062a\u0639\u0627\u0645\u0644 Bokeh \u0631\u0627 \u062f\u0627\u0631\u062f.<\/p>\n<p>\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0639\u0645\u0644\u06a9\u0631\u062f \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0627\u0635\u0644\u06cc\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0627\u062e\u0644\u06cc <em>Plotly Express<\/em> \u0628\u0627 <em>\u062e\u0637 \u062a\u06cc\u0631\u0647<\/em>\u060c \u0622\u0646 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u06af\u0641\u062a \u0627\u0646\u06af\u06cc\u0632 \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0648\u0628 \u0648 \u062f\u0627\u0634\u0628\u0648\u0631\u062f\u0647\u0627\u06cc \u062a\u0639\u0627\u0645\u0644\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062f\u0627\u062f\u0647\u060c \u06a9\u0647 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0628\u0647 \u0632\u0628\u0627\u0646 \u0646\u0648\u0634\u062a\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f\u060c \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u062f. <em>\u0641\u0644\u0627\u0633\u06a9<\/em>.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627\u060c \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 <em>\u0631\u0648\u0634 \u062a\u0631\u0633\u06cc\u0645 \u06cc\u06a9 \u0646\u0648\u0627\u0631 \u067e\u0644\u0627\u062a \u0628\u0627 Plotly<\/em>.<\/p>\n<blockquote>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u06cc\u0644\u0647 \u0627\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f\u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u0631\u062a\u0641\u0627\u0639 \u0647\u0631 \u0646\u0648\u0627\u0631 \u062a\u0639\u062f\u0627\u062f \u0631\u062e\u062f\u0627\u062f\u0647\u0627\u06cc \u0622\u0646 \u062f\u0633\u062a\u0647 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<\/blockquote>\n<h2 id=\"plotabarplotwithplotly\"><span class=\"ez-toc-section\" id=\"%d8%a8%d8%a7_%d9%be%d9%84%d8%a7%d8%aa%d9%84%db%8c_%db%8c%da%a9_%d9%be%d9%84%d8%a7%d8%aa_%d9%86%d9%88%d8%a7%d8%b1%db%8c_%d8%b1%d8%a7_%d8%b7%d8%b1%d8%a7%d8%ad%db%8c_%da%a9%d9%86%db%8c%d8%af\"><\/span>\u0628\u0627 \u067e\u0644\u0627\u062a\u0644\u06cc \u06cc\u06a9 \u067e\u0644\u0627\u062a \u0646\u0648\u0627\u0631\u06cc \u0631\u0627 \u0637\u0631\u0627\u062d\u06cc \u06a9\u0646\u06cc\u062f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0631\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645 \u06cc\u06a9 Bar Plot \u062f\u0631 Plotly\u060c \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0628\u0627 \u0622\u0646 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f <code>bar()<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f Plotly Express (<code>px<\/code>) \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0627\u0631\u0627\u0626\u0647 <code>x<\/code> \u0648 <code>y<\/code> \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0647\u0627\u06cc\u06cc \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0639\u062a\u0628\u0631:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> plotly.express <span class=\"hljs-keyword\">as<\/span> px\n\nx = (<span class=\"hljs-string\">'Category 1'<\/span>, <span class=\"hljs-string\">'Category 2'<\/span>, <span class=\"hljs-string\">'Category 3'<\/span>)\ny = (<span class=\"hljs-number\">5<\/span>, <span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">6<\/span>)\n\nfig = px.bar(x, y)\nfig.show()\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u0633\u0647 \u062f\u0633\u062a\u0647 \u062f\u0627\u0631\u06cc\u0645\u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0644\u06cc\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0627\u0631\u0627\u0626\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 <code>x<\/code> \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0648 \u0686\u0646\u062f \u0645\u0642\u062f\u0627\u0631 \u0627\u0633\u06a9\u0627\u0644\u0631 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0622\u0646 \u0627\u0631\u0627\u0626\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 <code>y<\/code> \u0628\u062d\u062b \u0648 \u062c\u062f\u0644.  \u0627\u06cc\u0646 \u0645\u0646\u062c\u0631 \u0628\u0647 \u06cc\u06a9 \u0637\u0631\u062d \u0646\u0648\u0627\u0631 \u0633\u0627\u062f\u0647 \u0648 \u0628\u0635\u0631\u06cc \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/plotly-bar-plot-tutorial-and-examples-1.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u0627 \u0628\u0647 \u0646\u062f\u0631\u062a \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u0627\u0646\u062c\u0627\u0645 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0627 \u0644\u06cc\u0633\u062a \u0647\u0627 \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f import \u0631\u0627 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.kaggle.com\/datasets\/blastchar\/telco-customer-churn\">\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u0627\u0646 \u0645\u062e\u0627\u0628\u0631\u0627\u062a<\/a> \u0648 \u062a\u062c\u0633\u0645 \u06a9\u0646\u06cc\u062f <code>InternetService<\/code> \u0648 <code>tenure<\/code> \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0637\u0631\u062d \u0646\u0648\u0627\u0631.<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f<\/strong>: \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u06a9\u0647 \u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u062f \u062d\u0630\u0641 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627 \u067e\u06cc\u0648\u0646\u062f \u0628\u0627\u0644\u0627 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f \u0647\u0645\u0627\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0627\u0634\u062f\u060c \u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u062e\u0631\u0648\u062c\u06cc \u0634\u0645\u0627 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0632 \u0622\u0646\u0686\u0647 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u0628\u0647 \u0646\u0638\u0631 \u0628\u0631\u0633\u062f.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u0631\u0627 <code>InternetService<\/code> \u0648\u06cc\u0698\u06af\u06cc \u06cc\u06a9 \u0648\u06cc\u0698\u06af\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u0645\u0634\u062a\u0631\u06cc \u0627\u0632 \u06a9\u062f\u0627\u0645 \u0646\u0648\u0639 \u062e\u062f\u0645\u0627\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 <code>tenure<\/code> \u06cc\u06a9 \u0648\u06cc\u0698\u06af\u06cc \u0639\u062f\u062f\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0646\u0634\u0627\u0646\u200c\u062f\u0647\u0646\u062f\u0647 \u0645\u062f\u062a \u0632\u0645\u0627\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u06cc\u06a9 \u0645\u0634\u062a\u0631\u06cc \u062f\u0631 \u0634\u0631\u06a9\u062a \u0628\u0648\u062f\u0647 \u0627\u0633\u062a\u060c \u062f\u0631 \u0645\u0627\u0647\u200c\u0647\u0627:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> plotly.express <span class=\"hljs-keyword\">as<\/span> px\n\ndf = pd.read_csv(<span class=\"hljs-string\">'telecom_users.csv'<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(df.head())\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u062f\u0631:<\/p>\n<pre><code class=\"hljs\">   gender  SeniorCitizen  tenure InternetService ...\n0    Male              0      72              No ...\n1  Female              0      44     Fiber optic ...\n2  Female              1      38     Fiber optic ...\n3    Male              0       4             DSL ...\n4    Male              0       2             DSL ...\n<\/code><\/pre>\n<p>\u062d\u0627\u0644 \u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u067e\u06cc\u0634 \u0628\u0631\u0648\u06cc\u0645 \u0648 \u0627\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0637\u0631\u062d \u0646\u0648\u0627\u0631 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> plotly.express <span class=\"hljs-keyword\">as<\/span> px\n\ndf = pd.read_csv(<span class=\"hljs-string\">'telecom_users.csv'<\/span>)\n\nfig = px.bar(df, x = <span class=\"hljs-string\">'InternetService'<\/span>, y = <span class=\"hljs-string\">'tenure'<\/span>)\nfig.show()\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u0631\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0632 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u0645\u0646\u0628\u0639 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 (<code>df<\/code>) \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0648\u0644\u06cc\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u060c \u0648 \u0646\u0627\u0645 \u0633\u062a\u0648\u0646 \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0647 \u0622\u0646 \u062a\u062c\u0633\u0645 \u06a9\u0646\u06cc\u0645 <code>x<\/code> \u0648 <code>y<\/code> \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0647\u0627  \u0646\u0642\u0634\u0647 \u0647\u0627 \u0627\u06cc\u0646 \u0645\u0648\u0627\u0631\u062f \u0631\u0627 \u0646\u0642\u0634\u0647 \u0645\u06cc \u06a9\u0646\u062f \u060c \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0648\u0627\u06a9\u0634\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0648 \u06cc\u06a9 \u0637\u0631\u062d \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/plotly-bar-plot-tutorial-and-examples-2.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u060c \u0637\u0631\u062d \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 \u0637\u0631\u062d \u0631\u06cc\u0632\u06cc \u062f\u0631 \u0648\u0627\u0642\u0639 \u0647\u0631 \u0646\u0645\u0648\u0646\u0647 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0627\u0646\u0628\u0627\u0634\u062a\u0647 \u06a9\u0648\u0686\u06a9 \u062c\u062f\u0627 \u0645\u06cc \u06a9\u0646\u062f <em>\u0628\u0627\u0631<\/em> \u0627\u0632 \u062e\u0648\u062f\u0634 \u0631\u0648\u06cc \u0627\u06cc\u0646 \u0646\u0645\u0648\u062f\u0627\u0631\u060c \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0686\u0646\u062f\u06cc\u0646 \u0631\u062f\u06cc\u0641 \u06cc\u06a9\u0633\u0627\u0646 \u0647\u0633\u062a\u0646\u062f <code>x<\/code> \u0627\u0631\u0632\u0634 \u060c \u0628\u0631\u062e\u0644\u0627\u0641 \u0646\u0642\u0634\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0633\u0627\u062f\u0647 1 \u0628\u0647 1 \u0645\u0627\u0646\u0646\u062f \u0645\u062b\u0627\u0644 \u0627\u0648\u0644.<\/p>\n<p>\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0628\u06cc\u0646\u06cc\u0645 <em>\u0627\u0646\u0628\u0627\u0634\u062a\u0647<\/em> \u062a\u0639\u062f\u0627\u062f \u0645\u0627\u0647\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0622\u0646\u0647\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0648\u0627\u0632\u06cc \u0628\u0647 \u0645\u0634\u062a\u0631\u06cc\u0627\u0646 \u062e\u0648\u062f \u062e\u062f\u0645\u062a \u06a9\u0631\u062f\u0647 \u0627\u0646\u062f.  \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 90 \u0647\u0632\u0627\u0631 \u0645\u0627\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0647 \u0646\u0638\u0631 \u0628\u0631\u0633\u062f <em>\u0645\u062c\u0646\u0648\u0646<\/em> \u062a\u0639\u062f\u0627\u062f \u0645\u0627\u0647 \u0647\u0627 (7500 \u0633\u0627\u0644)\u060c \u0645\u06cc\u0627\u0646\u0647 <code>tenure<\/code> \u0627\u0633\u062a <code>29<\/code> \u0645\u0627\u0647 \u0647\u0627:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">print<\/span>(df(<span class=\"hljs-string\">'tenure'<\/span>).median()) \n<\/code><\/pre>\n<h2 id=\"changebarplotcolorswithplotly\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%ba%db%8c%db%8c%d8%b1_%d8%b1%d9%86%da%af_%d8%b7%d8%b1%d8%ad_%d9%86%d9%88%d8%a7%d8%b1_%d8%a8%d8%a7_plotly\"><\/span>\u062a\u063a\u06cc\u06cc\u0631 \u0631\u0646\u06af \u0637\u0631\u062d \u0646\u0648\u0627\u0631 \u0628\u0627 Plotly<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062a\u063a\u06cc\u06cc\u0631 \u0631\u0646\u06af \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u0645\u0648\u0627\u0631\u062f \u0641\u0648\u0642 \u0627\u0644\u0630\u06a9\u0631 \u0622\u0633\u0627\u0646 \u0627\u0633\u062a \u060c \u0628\u0631 \u0627\u0633\u0627\u0633 \u0631\u0648\u06cc \u0647\u0631 \u0645\u062a\u063a\u06cc\u0631 \u062f\u06cc\u06af\u0631\u06cc \u06a9\u0647 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.  \u0627\u06cc\u0646\u0647\u0627 \u0627\u063a\u0644\u0628 \u0627\u0632 \u062f\u06cc\u06af\u0631 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0634\u062f\u0647 \u060c \u0645\u0627\u0646\u0646\u062f <code>gender<\/code> \u06cc\u0627 <code>SeniorCitizen<\/code>.<\/p>\n<p>\u06af\u0631\u0648\u0647\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647\u200c\u0647\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0648\u06cc\u0698\u06af\u06cc \u062f\u06cc\u06af\u0631\u06cc\u060c a \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc\u200c\u06a9\u0646\u062f <em>\u0637\u0631\u062d \u0646\u0648\u0627\u0631 \u06af\u0631\u0648\u0647\u06cc<\/em>\u060c \u06a9\u0647 \u0628\u06cc\u0634\u062a\u0631 \u062a\u0631\u0633\u06cc\u0645 \u0645\u06cc \u0634\u0648\u0646\u062f <em>\u0628\u0639\u062f<\/em> \u0628\u0647 \u062f\u06cc\u06af\u0631\u0627\u0646.  \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0628\u0627 \u0631\u0646\u06af \u0622\u0645\u06cc\u0632\u06cc \u0646\u0645\u0648\u0646\u0647 \u0647\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0631\u0648\u06cc \u06cc\u06a9\u06cc \u062f\u06cc\u06af\u0631 \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc\u060c \u0645\u0627 \u06cc\u06a9 <em>\u0637\u0631\u062d \u0646\u0648\u0627\u0631 \u06af\u0631\u0648\u0647\u06cc \u0627\u0646\u0628\u0627\u0634\u062a\u0647<\/em>\u060c \u0627\u0632 \u0622\u0646\u062c\u0627 \u06a9\u0647 \u0645\u0627 \u062f\u0648 \u06cc\u0627 \u0686\u0646\u062f \u06af\u0631\u0648\u0647 \u0627\u0632 \u0645\u0648\u0627\u0631\u062f \u06cc\u06a9 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a \u0631\u0648\u06cc \u0628\u0627\u0644\u0627\u06cc \u062f\u06cc\u06af\u0631\u06cc<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0628\u0627\u0631 \u062f\u06cc\u06af\u0631 \u0628\u0647 \u0637\u0631\u062d \u0646\u0648\u0627\u0631 \u0646\u06af\u0627\u0647\u06cc \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645 \u060c \u06cc\u06a9 \u0628\u0627\u0631 \u0628\u0633\u062a\u0647 \u0628\u0647 \u0647\u0631 \u0646\u0642\u0634\u0647 \u0631\u0646\u06af \u0622\u0645\u06cc\u0632\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0631\u0627 <code>gender<\/code> \u0648\u06cc\u0698\u06af\u06cc:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> plotly.express <span class=\"hljs-keyword\">as<\/span> px\n\ndf = pd.read_csv(<span class=\"hljs-string\">'telecom_users.csv'<\/span>)\n\nfig = px.bar(df, x = <span class=\"hljs-string\">'InternetService'<\/span>, y = <span class=\"hljs-string\">'tenure'<\/span>, color=<span class=\"hljs-string\">'gender'<\/span>)\nfig.show()\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u060c \u0637\u0631\u062d \u0631\u0646\u06af\u06cc \u0628\u0647 \u0637\u0648\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u0639\u0645\u0627\u0644 \u0645\u06cc \u0634\u0648\u062f \u060c \u0648 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0631\u0646\u06af \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u06cc \u0634\u0648\u0646\u062f \u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u062f\u0631 \u0637\u0648\u0644 \u0637\u0631\u062d \u0628\u0647 \u0647\u0645 \u0646\u0645\u06cc \u0631\u06cc\u0632\u0646\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/plotly-bar-plot-tutorial-and-examples-3.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u0686\u0646\u062f\u06cc\u0646 \u0631\u062f\u06cc\u0641 \u062f\u0627\u0631\u06cc\u0645 \u06a9\u0647 \u06cc\u06a9\u0633\u0627\u0646 \u0631\u0627 \u0628\u0647 \u0627\u0634\u062a\u0631\u0627\u06a9 \u0645\u06cc \u06af\u0630\u0627\u0631\u0646\u062f <code>x<\/code> \u0645\u0642\u0627\u062f\u06cc\u0631 &#8211; \u0627\u06cc\u0646\u0647\u0627 \u0627\u0633\u0627\u0633\u0627\u064b \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u06cc\u0644\u0647 \u0647\u0627\u06cc \u06af\u0631\u0648\u0647\u06cc \u0627\u0646\u0628\u0627\u0634\u062a\u0647 \u062a\u0631\u0633\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0646\u062f.<\/p>\n<p>\u0627\u06af\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u06cc\u06a9 \u0648\u06cc\u0698\u06af\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0631\u0627 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645 \u060c \u0627\u06cc\u0646 \u067e\u0634\u062a\u0647 \u0646\u0645\u06cc \u0634\u0648\u062f (\u0627\u0646\u062a\u062e\u0627\u0628 \u0628\u0627\u06cc\u0646\u0631\u06cc \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc \u062f\u06cc\u06af\u0631\u06cc \u0646\u06cc\u0633\u062a) \u060c \u0627\u06cc\u0646 \u0637\u0631\u062d \u0646\u0633\u0628\u062a\u0627\u064b \u0645\u062a\u0641\u0627\u0648\u062a \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> plotly.express <span class=\"hljs-keyword\">as<\/span> px\n\ndf = pd.read_csv(<span class=\"hljs-string\">'telecom_users.csv'<\/span>)\n\nfig = px.bar(df, x=<span class=\"hljs-string\">'tenure'<\/span>, y=<span class=\"hljs-string\">'MonthlyCharges'<\/span>, color=<span class=\"hljs-string\">'tenure'<\/span>)\n\nfig.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/plotly-bar-plot-tutorial-and-examples-3-1.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0647\u0646\u06af\u0627\u0645 \u0627\u0631\u0627\u0626\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0631\u0646\u06af\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0645\u0627\u0646\u0646\u062f <code>0..70<\/code> \u0627\u0632 \u0637\u0631\u06cc\u0642 <code>tenure<\/code> \u0648\u06cc\u0698\u06af\u06cc &#8211; \u0634\u06cc\u0628 \u0647\u0627\u06cc \u0632\u06cc\u0628\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0647 \u062f\u0631 \u062a\u0648\u0637\u0626\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0634\u06a9\u0644 \u06af\u0631\u0641\u062a\u0647 \u0627\u0633\u062a \u060c \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u06cc\u062f.<\/p>\n<h2 id=\"plotgroupedbarplotwithplotly\"><span class=\"ez-toc-section\" id=\"plot_grouped_bar_plot_with_plotly\"><\/span>Plot Grouped Bar Plot with Plotly<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0639\u0636\u06cc \u0627\u0648\u0642\u0627\u062a \u060c \u0627\u06af\u0631 \u0628\u0647 \u062c\u0627\u06cc \u0627\u0646\u0628\u0627\u0634\u062a \u0622\u0646\u0647\u0627 \u060c \u0645\u06cc\u0644\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0631 \u06a9\u0646\u0627\u0631 \u062f\u06cc\u06af\u0631\u06cc \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645 \u060c \u062a\u0645\u0627\u06cc\u0632 \u0633\u0627\u062f\u0647 \u062a\u0631 \u0627\u0633\u062a \u0631\u0648\u06cc \u0631\u0648\u06cc \u0647\u0645  \u0627\u06cc\u0646 \u0628\u0647 \u0648\u06cc\u0698\u0647 \u0632\u0645\u0627\u0646\u06cc \u0645\u0641\u06cc\u062f \u0627\u0633\u062a \u06a9\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0628\u0627\u06cc\u0646\u0631\u06cc \u062f\u0627\u0631\u06cc\u0645\u060c \u0645\u0627\u0646\u0646\u062f <code>SeniorCitizen<\/code> \u06a9\u0647 \u0641\u0642\u0637 \u062f\u0648 \u0645\u0642\u062f\u0627\u0631 \u062f\u0627\u0631\u062f  \u0634\u0645\u0627 \u0648\u0627\u0642\u0639\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f <code>n<\/code> \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0634\u0645\u0627 \u062f\u0631 \u06af\u0631\u0648\u0647 \u060c \u0628\u06cc\u0634\u062a\u0631 \u06af\u0631\u0648\u0647 \u0647\u0627 \u0627\u06af\u0631 \u062e\u06cc\u0644\u06cc \u0628\u0632\u0631\u06af \u0628\u0627\u0634\u0646\u062f \u060c \u0648\u0627\u0642\u0639\u0627\u064b \u0627\u0632 \u0645\u0627 \u0633\u0648\u062f \u0646\u0645\u06cc \u0628\u0631\u0646\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0637\u0631\u062d \u0628\u0646\u062f\u06cc \u0631\u0627 \u0628\u0647 \u0631\u0648\u0632 \u06a9\u0646\u06cc\u0645 <code>Figure<\/code>\u0648 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f <code>barmode<\/code> \u0628\u0647 <code>'group'<\/code>:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> plotly.express <span class=\"hljs-keyword\">as<\/span> px\n\ndf = pd.read_csv(<span class=\"hljs-string\">'telecom_users.csv'<\/span>)\n\nfig = px.bar(df, x = <span class=\"hljs-string\">'InternetService'<\/span>, y = <span class=\"hljs-string\">'tenure'<\/span>, color=<span class=\"hljs-string\">'gender'<\/span>)\nfig.update_layout(barmode=<span class=\"hljs-string\">'group'<\/span>)\nfig.show()\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646\u060c \u0645\u0642\u0627\u06cc\u0633\u0647 \u062a\u0639\u062f\u0627\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u062a\u0631 \u0627\u0633\u062a:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/plotly-bar-plot-tutorial-and-examples-4.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"plotahorizontalbarplotwithplotly\"><span class=\"ez-toc-section\" id=\"%db%8c%da%a9_%d9%be%d9%84%d8%a7%d8%aa_%d9%86%d9%88%d8%a7%d8%b1_%d8%a7%d9%81%d9%82%db%8c_%d8%a8%d8%a7_%d9%be%d9%84%d8%a7%d8%aa%d9%84%db%8c_%d8%aa%d8%b1%d8%b3%db%8c%d9%85_%da%a9%d9%86%db%8c%d8%af\"><\/span>\u06cc\u06a9 \u067e\u0644\u0627\u062a \u0646\u0648\u0627\u0631 \u0627\u0641\u0642\u06cc \u0628\u0627 \u067e\u0644\u0627\u062a\u0644\u06cc \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u062f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0631\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645 \u06cc\u06a9 \u0646\u0648\u0627\u0631 \u0645\u06cc\u0644\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0627\u0641\u0642\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Plotly\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u0645 <code>orientation<\/code> \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0647 <code>h<\/code> (\u0628\u0631 \u062e\u0644\u0627\u0641 \u062d\u0627\u0644\u062a \u067e\u06cc\u0634 \u0641\u0631\u0636 <code>v<\/code>) \u0647\u0646\u06af\u0627\u0645 \u062a\u0631\u0633\u06cc\u0645 \u0646\u0645\u0648\u062f\u0627\u0631 \u0646\u0648\u0627\u0631:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> plotly.express <span class=\"hljs-keyword\">as<\/span> px\n\ndf = pd.read_csv(<span class=\"hljs-string\">'telecom_users.csv'<\/span>)\n\nfig = px.bar(df, x=<span class=\"hljs-string\">'MonthlyCharges'<\/span>, y=<span class=\"hljs-string\">'tenure'<\/span>, color=<span class=\"hljs-string\">'tenure'<\/span>, orientation=<span class=\"hljs-string\">'h'<\/span>)\n\nfig.show()\n<\/code><\/pre>\n<p>\u0628\u0647 \u062e\u0627\u0637\u0631 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0627\u06af\u0631 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0631\u0627\u0628\u0637\u0647 XY \u0631\u0627 \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0628\u0648\u062f \u062d\u0641\u0638 \u06a9\u0646\u06cc\u062f\u060c \u0622\u0646 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u062f\u0647\u06cc\u062f <code>x<\/code> \u0648 <code>y<\/code> \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0647\u0627  \u0627\u062c\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u062f \u0646\u062a\u06cc\u062c\u0647 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/plotly-bar-plot-tutorial-and-examples-5.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"orderingbarplotsinplotly\"><span class=\"ez-toc-section\" id=\"%d8%b3%d9%81%d8%a7%d8%b1%d8%b4_%d8%b2%d9%85%db%8c%d9%86_%d9%87%d8%a7%db%8c_%d8%a8%d8%a7%d8%b1_%d8%af%d8%b1_%d9%be%d9%84%d8%a7%d8%aa%d9%84%db%8c\"><\/span>\u0633\u0641\u0627\u0631\u0634 \u0632\u0645\u06cc\u0646 \u0647\u0627\u06cc \u0628\u0627\u0631 \u062f\u0631 \u067e\u0644\u0627\u062a\u0644\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Plotly \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0645\u06cc\u0644\u0647 \u0647\u0627 \u0631\u0627 \u0633\u0641\u0627\u0631\u0634 \u0645\u06cc \u062f\u0647\u062f.  \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0627\u06cc\u0646 \u062a\u0646\u0638\u06cc\u0645 \u0631\u0627 \u0628\u0627 \u0628\u0647 \u0631\u0648\u0632 \u0631\u0633\u0627\u0646\u06cc \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f <code>Figure<\/code> \u0645\u0648\u0644\u0641\u0647 \u0647\u0627\u06cc.<\/p>\n<p>\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0633\u0641\u0627\u0631\u0634 \u062f\u0633\u062a\u06cc \u06cc\u0627 \u0633\u0641\u0627\u0631\u0634 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f.  \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u062f\u0633\u062a\u06cc\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u06cc\u06a9 \u0641\u0631\u0647\u0646\u06af \u0644\u063a\u062a \u062d\u0627\u0648\u06cc \u0646\u0627\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0648 \u062a\u0631\u062a\u06cc\u0628 \u0622\u0646\u0647\u0627 \u0631\u0627 \u06a9\u0647 \u0645\u0646\u062c\u0631 \u0628\u0647 \u06cc\u06a9 \u062a\u0631\u062a\u06cc\u0628 \u062b\u0627\u0628\u062a \u0645\u06cc \u0634\u0648\u062f\u060c \u0628\u0647 <code>category_orders<\/code> \u0628\u062d\u062b \u0648 \u062c\u062f\u0644:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> plotly.express <span class=\"hljs-keyword\">as<\/span> px\n\ndf = pd.read_csv(<span class=\"hljs-string\">'telecom_users.csv'<\/span>)\n\nfig = px.bar(df, x=<span class=\"hljs-string\">'InternetService'<\/span>, y=<span class=\"hljs-string\">'tenure'<\/span>, color=<span class=\"hljs-string\">'gender'<\/span>,\n             category_orders={<span class=\"hljs-string\">\"InternetService\"<\/span>: (<span class=\"hljs-string\">\"DSL\"<\/span>, <span class=\"hljs-string\">\"Fiber optic\"<\/span>, <span class=\"hljs-string\">\"No\"<\/span>),\n                              <span class=\"hljs-string\">\"gender\"<\/span>: (<span class=\"hljs-string\">\"Female\"<\/span>, <span class=\"hljs-string\">\"Male\"<\/span>)})\nfig.show()\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u0633\u0641\u0627\u0631\u0634 \u062f\u0627\u062f\u06cc\u0645 <code>InternetService<\/code> \u0648\u06cc\u0698\u06af\u06cc \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u062e\u0627\u0635\u06cc \u06a9\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u062f\u0633\u062a\u06cc \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 <code>gender<\/code> \u0648\u06cc\u0698\u06af\u06cc.<\/p>\n<p>\u062a\u0631\u0633\u06cc\u0645 \u0637\u0631\u062d \u0646\u0648\u0627\u0631 \u0627\u06a9\u0646\u0648\u0646 \u0645\u0646\u062c\u0631 \u0628\u0647 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/plotly-bar-plot-tutorial-and-examples-7.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0631\u0648\u0634 \u062f\u06cc\u06af\u0631\u060c \u0628\u0647 \u062e\u0635\u0648\u0635 \u0627\u06af\u0631 \u062a\u0639\u062f\u0627\u062f \u0632\u06cc\u0627\u062f\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0645\u06a9\u0646 \u0648\u062c\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f &#8211; \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0647 Plotly \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u0645 \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0631\u0627 \u0645\u0631\u062a\u0628 \u0648 \u0645\u0631\u062a\u0628 \u06a9\u0646\u062f.  \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0645\u0631\u062a\u0628 \u06a9\u0646\u06cc\u0645 <em>\u0628\u0647 \u0637\u0648\u0631 \u0642\u0637\u0639\u06cc<\/em> \u06cc\u0627 <em>\u0628\u0647 \u0635\u0648\u0631\u062a \u0639\u062f\u062f\u06cc<\/em>.<\/p>\n<p>\u0648 \u0647\u0631 \u062f\u0648\u06cc \u0627\u06cc\u0646\u0647\u0627 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u062f\u0631 \u0627\u062f\u0627\u0645\u0647 \u0633\u0641\u0627\u0631\u0634 \u062f\u0627\u062f <code>ascending<\/code> \u06cc\u0627 <code>descending<\/code> \u0633\u0641\u0627\u0631\u0634.  \u0628\u0631\u0627\u06cc \u062a\u0631\u062a\u06cc\u0628 \u0639\u062f\u062f\u06cc\u060c \u0645\u0627 \u0631\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>total<\/code> \u06a9\u0644\u0645\u0647 \u06a9\u0644\u06cc\u062f\u06cc\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0645\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>category<\/code> \u06a9\u0644\u0645\u0647 \u06a9\u0644\u06cc\u062f\u06cc \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc.<\/p>\n<p>\u0628\u0647\u200c\u0637\u0648\u0631 \u067e\u06cc\u0634\u200c\u0641\u0631\u0636\u060c Plotly \u062a\u0631\u062a\u06cc\u0628 \u0631\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 &#8211; \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0627\u060c \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062f\u0633\u062a\u0648\u0631 \u062f\u0627\u062f <code>total ascending<\/code>.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0622\u0646 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u0645 <code>total descending<\/code>:<\/p>\n<pre><code class=\"hljs\">fig.update_layout(xaxis={<span class=\"hljs-string\">'categoryorder'<\/span>:<span class=\"hljs-string\">'total descending'<\/span>})\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u062f\u0631:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/plotly-bar-plot-tutorial-and-examples-8.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0647\u0646\u06af\u0627\u0645 \u0645\u0631\u062a\u0628 \u06a9\u0631\u062f\u0646 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc\u060c \u0627\u0632 \u0646\u0638\u0631 \u0648\u0627\u0698\u06af\u0627\u0646\u06cc \u0645\u0631\u062a\u0628 \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<pre><code class=\"hljs\">fig.update_layout(xaxis={<span class=\"hljs-string\">'categoryorder'<\/span>:<span class=\"hljs-string\">'category ascending'<\/span>})\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u062f\u0631:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/plotly-bar-plot-tutorial-and-examples-9.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634\u060c \u0646\u06af\u0627\u0647\u06cc \u06af\u0630\u0631\u0627 \u0628\u0647 \u0631\u0648\u0634 \u062a\u0631\u0633\u06cc\u0645 \u0648 \u0633\u0641\u0627\u0631\u0634\u06cc \u0633\u0627\u0632\u06cc \u0646\u0648\u0627\u0631 \u067e\u0644\u0627\u062a \u0628\u0627 Plotly \u0627\u0646\u062f\u0627\u062e\u062a\u0647 \u0627\u06cc\u0645.<\/p>\n<p>\u0627\u06af\u0631 \u0628\u0647 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0639\u0644\u0627\u0642\u0647 \u062f\u0627\u0631\u06cc\u062f \u0648 \u0646\u0645\u06cc\u200c\u062f\u0627\u0646\u06cc\u062f \u0627\u0632 \u06a9\u062c\u0627 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u062f\u060c \u062d\u062a\u0645\u0627\u064b \u0645\u0627 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f <em>\u0628\u0633\u062a\u0647 \u06a9\u062a\u0627\u0628<\/em> \u0631\u0648\u06cc <a class=\"ebook-link\" href=\"https:\/\/gum.co\/data-visualization-in-python-book-bundle\" target=\"_blank\" rel=\"noopener\"><em>\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646<\/em><\/a>:<\/p>\n<p><em><strong>\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 Matplotlib \u0648 Pandas<\/strong><\/em>  \u06a9\u062a\u0627\u0628\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u062a\u0627 \u0645\u0628\u062a\u062f\u06cc\u0627\u0646 \u0645\u0637\u0644\u0642 \u0631\u0627 \u0628\u0627 \u062f\u0627\u0646\u0634 \u067e\u0627\u06cc\u0647 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0647 Pandas \u0648 Matplotlib \u0628\u0628\u0631\u062f \u0648 \u0628\u0647 \u0622\u0646\u0647\u0627 \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u062f \u067e\u0627\u06cc\u0647 \u0627\u06cc \u0642\u0648\u06cc \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0628\u0627 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0628\u0633\u0627\u0632\u0646\u062f &#8211; \u0627\u0632 \u0637\u0631\u062d \u0647\u0627\u06cc \u0633\u0627\u062f\u0647 \u06af\u0631\u0641\u062a\u0647 \u062a\u0627 \u0637\u0631\u062d \u0647\u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc \u0645\u062a\u062d\u0631\u06a9 \u0628\u0627 \u062f\u06a9\u0645\u0647 \u0647\u0627\u06cc \u062a\u0639\u0627\u0645\u0644\u06cc.<\/p>\n<blockquote>\n<p>\u0627\u06cc\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u0639\u0645\u06cc\u0642 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0647\u0645\u0647 \u0686\u06cc\u0632\u0647\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0647 \u0628\u0627\u06cc\u062f \u062f\u0631 \u0645\u0648\u0631\u062f \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0648 Matplotlib \u0628\u062f\u0627\u0646\u06cc\u062f\u060c \u0627\u0632 \u062c\u0645\u0644\u0647 \u0631\u0648\u0634 \u0633\u0627\u062e\u062a \u0627\u0646\u0648\u0627\u0639 \u0637\u0631\u062d \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0631 \u062e\u0648\u062f \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u062a\u0639\u0628\u06cc\u0647 \u0646\u0634\u062f\u0647 \u0627\u0646\u062f \u0631\u0627 \u0628\u0647 \u0634\u0645\u0627 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<\/blockquote>\n<p><em><strong>\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646<\/strong><\/em>\u06a9\u062a\u0627\u0628\u06cc \u0628\u0631\u0627\u06cc \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0628\u062a\u062f\u06cc \u062a\u0627 \u0645\u062a\u0648\u0633\u0637\u060c \u0634\u0645\u0627 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u0633\u0627\u062f\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0627 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc \u0645\u06cc \u06a9\u0646\u062f\u060c \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645 \u0647\u0633\u062a\u0647 \u0627\u06cc \u0645\u0627\u0646\u0646\u062f Matplotlib \u0648 Seaborn \u0631\u0627 \u067e\u0648\u0634\u0634 \u0645\u06cc \u062f\u0647\u062f \u0648 \u0628\u0647 \u0634\u0645\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0627\u0639\u0644\u0627\u0645\u06cc \u0648 \u062a\u062c\u0631\u0628\u06cc \u0645\u0627\u0646\u0646\u062f Altair \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.  \u0628\u0647 \u0637\u0648\u0631 \u062e\u0627\u0635\u060c \u062f\u0631 \u0637\u0648\u0644 \u06f1\u06f1 \u0641\u0635\u0644\u060c \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u06f9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0631\u0627 \u067e\u0648\u0634\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f: Pandas\u060c Matplotlib\u060c Seaborn\u060c Bokeh\u060c Altair\u060c Plotly\u060c GGPlot\u060c GeoPandas \u0648 VisPy.<\/p>\n<blockquote>\n<p>\u0627\u06cc\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u0639\u0645\u0644\u06cc \u0648 \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0631 \u062d\u0631\u0641\u0647 \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<\/blockquote>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-11 04:49:05<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;15340&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628&quot;,&quot;legend&quot;:&quot;0\\\/5 (0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;Plotly Bar Plot - \u0622\u0645\u0648\u0632\u0634 \u0648 \u0645\u062b\u0627\u0644&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} ({count} \u0631\u0627\u06cc)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 6<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u062a\u0648\u0637\u0626\u0647 \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062c\u0627\u0648\u0627 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0627\u0633\u062a \u06a9\u0647 \u0645\u062a\u0645\u0631\u06a9\u0632 \u0627\u0633\u062a \u0631\u0648\u06cc \u062f\u0631 \u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u0648\u062f\u0646 \u0648 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0648\u0628 \u062a\u062c\u0633\u0645 \u0647\u0627 \u0627\u06cc\u0646 \u0633\u0627\u062f\u06af\u06cc Seaborn\u060c \u0628\u0627 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062a\u0639\u0627\u0645\u0644 Bokeh \u0631\u0627 \u062f\u0627\u0631\u062f. \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0639\u0645\u0644\u06a9\u0631\u062f \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0627\u0635\u0644\u06cc\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0627\u062e\u0644\u06cc Plotly Express \u0628\u0627 \u062e\u0637 \u062a\u06cc\u0631\u0647\u060c \u0622\u0646 \u0631\u0627 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":15341,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-15340","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/15340","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=15340"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/15340\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/15341"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=15340"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=15340"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=15340"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}