{"id":15545,"date":"2024-01-13T18:41:20","date_gmt":"2024-01-13T15:11:20","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/"},"modified":"2024-01-13T18:41:20","modified_gmt":"2024-01-13T15:11:20","slug":"%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/","title":{"rendered":"\u0637\u0631\u062d \u0648\u06cc\u0648\u0644\u0646 Matplotlib &#8211; \u0622\u0645\u0648\u0632\u0634 \u0648 \u0646\u0645\u0648\u0646\u0647"},"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\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/#%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\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/#%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\" >\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627<\/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\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/#%d8%b7%d8%b1%d8%ad_%db%8c%da%a9_%d9%86%d9%82%d8%b4%d9%87_%d9%88%db%8c%d9%88%d9%84%d9%86_%d8%af%d8%b1_matplotlib\" >\u0637\u0631\u062d \u06cc\u06a9 \u0646\u0642\u0634\u0647 \u0648\u06cc\u0648\u0644\u0646 \u062f\u0631 Matplotlib<\/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\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/#%d8%b3%d9%81%d8%a7%d8%b1%d8%b4%db%8c_%da%a9%d8%b1%d8%af%d9%86_%d9%86%d9%82%d8%b4%d9%87_%d9%87%d8%a7%db%8c_%d9%88%db%8c%d9%88%d9%84%d9%86_%d8%af%d8%b1_matplotlib\" >\u0633\u0641\u0627\u0631\u0634\u06cc \u06a9\u0631\u062f\u0646 \u0646\u0642\u0634\u0647 \u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646 \u062f\u0631 Matplotlib<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/#%d8%a7%d8%b6%d8%a7%d9%81%d9%87_%da%a9%d8%b1%d8%af%d9%86_%d8%aa%db%8c%da%a9_x_%d9%88_y\" >\u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u062a\u06cc\u06a9 X \u0648 Y<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/#%d8%aa%d9%88%d8%b7%d8%a6%d9%87_%d9%88%db%8c%d9%88%d9%84%d9%86_%d8%a7%d9%81%d9%82%db%8c_%d8%af%d8%b1_matplotlib\" >\u062a\u0648\u0637\u0626\u0647 \u0648\u06cc\u0648\u0644\u0646 \u0627\u0641\u0642\u06cc \u062f\u0631 Matplotlib<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/#%d9%86%d9%85%d8%a7%db%8c%d8%b4_%d9%85%d8%b9%d9%86%db%8c_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7_%d8%af%d8%b1_%d8%b7%d8%b1%d8%ad_%d9%87%d8%a7%db%8c_%d9%88%db%8c%d9%88%d9%84%d9%86\" >\u0646\u0645\u0627\u06cc\u0634 \u0645\u0639\u0646\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u0637\u0631\u062d \u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/#%d8%b3%d9%81%d8%a7%d8%b1%d8%b4%db%8c_%da%a9%d8%b1%d8%af%d9%86_%d8%aa%d8%ae%d9%85%db%8c%d9%86_%da%86%da%af%d8%a7%d9%84%db%8c_%d9%87%d8%b3%d8%aa%d9%87_%d8%a8%d8%b1%d8%a7%db%8c_%d9%be%d9%84%d8%a7%d8%aa_%d9%88%db%8c%d9%88%d9%84%d9%86\" >\u0633\u0641\u0627\u0631\u0634\u06cc \u06a9\u0631\u062f\u0646 \u062a\u062e\u0645\u06cc\u0646 \u0686\u06af\u0627\u0644\u06cc \u0647\u0633\u062a\u0647 \u0628\u0631\u0627\u06cc \u067e\u0644\u0627\u062a \u0648\u06cc\u0648\u0644\u0646<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%b1%d8%ad-%d9%88%db%8c%d9%88%d9%84%d9%86-matplotlib-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%88-%d9%86%d9%85%d9%88%d9%86%d9%87\/#%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>\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f\u060c \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 Matplotlib \u0645\u062d\u0628\u0648\u0628 \u062a\u0631\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u062f\u0631 \u0628\u06cc\u0646 \u0647\u0645\u0647 \u0622\u0646\u0647\u0627\u0633\u062a.  \u0645\u062d\u0628\u0648\u0628\u06cc\u062a Matplotlib \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0642\u0627\u0628\u0644\u06cc\u062a \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0628\u0648\u062f\u0646 \u0622\u0646 \u0627\u0633\u062a &#8211; \u0642\u0627\u062f\u0631 \u0627\u0633\u062a \u0647\u0631 \u062f\u0648 \u0637\u0631\u062d \u0633\u0627\u062f\u0647 \u0648 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0631\u0627 \u0628\u0627 \u06a9\u062f \u06a9\u0645\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u062f.  \u0634\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0637\u0631\u062d \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0633\u0641\u0627\u0631\u0634\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0628\u0647 \u0622\u0646 \u062e\u0648\u0627\u0647\u06cc\u0645 \u067e\u0631\u062f\u0627\u062e\u062a <em>\u0631\u0648\u0634 \u062a\u0631\u0633\u06cc\u0645 \u0646\u0642\u0634\u0647 \u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646 \u062f\u0631 Matplotlib<\/em>.<\/p>\n<blockquote>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646 \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0646\u0645\u0627\u06cc\u0634 \u0645\u062d\u062f\u0648\u062f\u0647\u060c \u0645\u06cc\u0627\u0646\u0647 \u0648 \u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<\/blockquote>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646 \u0647\u0645\u0627\u0646 \u0622\u0645\u0627\u0631 \u062e\u0644\u0627\u0635\u0647 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u062c\u0639\u0628\u0647 \u0627\u06cc \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u0622\u0646\u0647\u0627 \u0646\u06cc\u0632 \u0634\u0627\u0645\u0644 \u0645\u06cc \u0634\u0648\u0646\u062f <em>\u062a\u062e\u0645\u06cc\u0646 \u062a\u0631\u0627\u06a9\u0645 \u0647\u0633\u062a\u0647<\/em> \u06a9\u0647 \u0634\u06a9\u0644\/\u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<h2 id=\"importingdata\"><span class=\"ez-toc-section\" id=\"%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\"><\/span>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u06cc\u06a9 \u0637\u0631\u062d \u0648\u06cc\u0648\u0644\u0646 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645\u060c \u0628\u0631\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645 \u0628\u0647 \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645.  \u0645\u0627 \u0627\u0632 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.kaggle.com\/tklimonova\/gapminder-datacamp-2007?select=gapminder_full.csv\">\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 Gapminder<\/a>.<\/p>\n<p>\u0645\u0627 \u0628\u0627 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u062e\u0648\u062f\u060c \u06a9\u0647 \u0634\u0627\u0645\u0644 Pandas \u0648 Matplotlib \u0627\u0633\u062a\u060c \u0634\u0631\u0648\u0639 \u0645\u06cc \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> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<\/code><\/pre>\n<p>\u0645\u0627 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0645\u0637\u0645\u0626\u0646 \u0634\u0648\u06cc\u0645 \u06a9\u0647 \u0647\u06cc\u0686 \u0648\u0631\u0648\u062f\u06cc \u062f\u0627\u062f\u0647 \u06af\u0645 \u0646\u0634\u062f\u0647 \u0627\u06cc \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f \u0648 print \u0633\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u06cc\u0631\u0648\u0646 \u0628\u06cc\u0627\u0648\u0631\u06cc\u062f \u062a\u0627 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u0634\u0648\u062f \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u062f\u0631\u0633\u062a\u06cc \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0627\u0646\u062f.  \u062d\u062a\u0645\u0627 \u0646\u0648\u0639 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0631\u0627 \u0631\u0648\u06cc \u0622\u0646 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f <code>ISO-8859-1<\/code>:<\/p>\n<pre><code class=\"hljs\">dataframe = pd.read_csv(<span class=\"hljs-string\">\"gapminder_full.csv\"<\/span>, error_bad_lines=<span class=\"hljs-literal\">False<\/span>, encoding=<span class=\"hljs-string\">\"ISO-8859-1\"<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(dataframe.head())\n<span class=\"hljs-built_in\">print<\/span>(dataframe.isnull().values.<span class=\"hljs-built_in\">any<\/span>())\n<\/code><\/pre>\n<pre><code class=\"hljs\">       country  year  population continent  life_exp     gdp_cap\n0  Afghanistan  1952     8425333      Asia    28.801  779.445314\n1  Afghanistan  1957     9240934      Asia    30.332  820.853030\n2  Afghanistan  1962    10267083      Asia    31.997  853.100710\n3  Afghanistan  1967    11537966      Asia    34.020  836.197138\n4  Afghanistan  1972    13079460      Asia    36.088  739.981106\n<\/code><\/pre>\n<h2 id=\"plottingaviolinplotinmatplotlib\"><span class=\"ez-toc-section\" id=\"%d8%b7%d8%b1%d8%ad_%db%8c%da%a9_%d9%86%d9%82%d8%b4%d9%87_%d9%88%db%8c%d9%88%d9%84%d9%86_%d8%af%d8%b1_matplotlib\"><\/span>\u0637\u0631\u062d \u06cc\u06a9 \u0646\u0642\u0634\u0647 \u0648\u06cc\u0648\u0644\u0646 \u062f\u0631 Matplotlib<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u067e\u0644\u0627\u062a \u0648\u06cc\u0648\u0644\u0646 \u062f\u0631 Matplotlib\u060c \u0645\u0627 \u0622\u0646 \u0631\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>violinplot()<\/code> \u062a\u0627\u0628\u0639 \u0631\u0648\u06cc \u06cc\u0627 <code>Axes<\/code> \u0646\u0645\u0648\u0646\u0647 \u06cc\u0627 \u062e\u0648\u062f \u0646\u0645\u0648\u0646\u0647 PyPlot:<\/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> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n\ndataframe = pd.read_csv(<span class=\"hljs-string\">\"gapminder_full.csv\"<\/span>, error_bad_lines=<span class=\"hljs-literal\">False<\/span>, encoding=<span class=\"hljs-string\">\"ISO-8859-1\"<\/span>)\n\npopulation = dataframe.population\nlife_exp = dataframe.life_exp\ngdp_cap = dataframe.gdp_cap\n\n\nfig, ax = plt.subplots()\n\n\nax.violinplot((population, life_exp, gdp_cap))\n\n\nax.set_title(<span class=\"hljs-string\">'Violin Plot'<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/matplotlib-violin-plot-tutorial-and-examples-1.png\" alt=\"\u0637\u0631\u062d \u0648\u06cc\u0648\u0644\u0646 matplotlib\" title=\"\"><\/p>\n<p>\u0648\u0642\u062a\u06cc \u0627\u0648\u0644\u06cc\u0646 \u0646\u0645\u0648\u062f\u0627\u0631 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645\u060c \u0627\u0645\u0627 \u0645\u062a\u0648\u062c\u0647 \u0628\u0631\u062e\u06cc \u0645\u0634\u06a9\u0644\u0627\u062a \u0646\u06cc\u0632 \u062e\u0648\u0627\u0647\u06cc\u0645 \u0634\u062f.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0642\u06cc\u0627\u0633 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a\u060c \u062a\u0648\u0632\u06cc\u0639 \u0622\u0646\u0647\u0627 \u0639\u0645\u0644\u0627 \u063a\u06cc\u0631\u0645\u0645\u06a9\u0646 \u0627\u0633\u062a <em>\u0627\u0645\u06cc\u062f \u0628\u0647 \u0632\u0646\u062f\u06af\u06cc<\/em> \u0648 <em>\u062a\u0648\u0644\u06cc\u062f \u0646\u0627\u062e\u0627\u0644\u0635 \u0645\u0644\u06cc<\/em> \u0633\u062a\u0648\u0646 \u0647\u0627.<\/p>\n<p>\u0628\u0647 \u0647\u0645\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0647\u0631 \u0633\u062a\u0648\u0646 \u0631\u0627 \u0631\u0633\u0645 \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0637\u0631\u062d \u0641\u0631\u0639\u06cc \u062e\u0648\u062f\u0634<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0622\u0633\u0627\u0646\u200c\u062a\u0631 \u06a9\u0631\u062f\u0646 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u06a9\u0645\u06cc \u0645\u0631\u062a\u0628\u200c\u0633\u0627\u0632\u06cc \u0648 \u0628\u0631\u0634 \u0642\u0627\u0628 \u062f\u0627\u062f\u0647 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645.  \u0645\u0627 \u062f\u06cc\u062a\u0627\u0641\u0631\u06cc\u0645 \u0631\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u06af\u0631\u0648\u0647 \u0628\u0646\u062f\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 <em>&#8220;\u06a9\u0634\u0648\u0631&#8221;<\/em>\u0648 \u0641\u0642\u0637 \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc\u0646\/\u0622\u062e\u0631\u06cc\u0646 \u0648\u0631\u0648\u062f\u06cc \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u06a9\u0634\u0648\u0631\u0647\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0633\u067e\u0633 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062c\u0645\u0639\u06cc\u062a \u0645\u0631\u062a\u0628\u200c\u0633\u0627\u0632\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u0648 \u0648\u0631\u0648\u062f\u06cc\u200c\u0647\u0627\u06cc \u062f\u0627\u0631\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631\u06cc\u0646 \u062c\u0645\u0639\u06cc\u062a (\u0641\u0631\u0648\u062a \u062c\u0645\u0639\u06cc\u062a \u0628\u0632\u0631\u06af) \u0631\u0627 \u062d\u0630\u0641 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0628\u0642\u06cc\u0647 \u0686\u0627\u0631\u0686\u0648\u0628 \u062f\u0627\u062f\u0647 \u062f\u0631 \u0645\u062d\u062f\u0648\u062f\u0647 \u0645\u0634\u0627\u0628\u0647\u200c\u062a\u0631\u06cc \u0642\u0631\u0627\u0631 \u0628\u06af\u06cc\u0631\u0646\u062f \u0648 \u0645\u0642\u0627\u06cc\u0633\u0647\u200c\u0647\u0627 \u0622\u0633\u0627\u0646\u200c\u062a\u0631 \u0628\u0627\u0634\u062f:<\/p>\n<pre><code class=\"hljs\">dataframe = dataframe.groupby(<span class=\"hljs-string\">\"country\"<\/span>).last()\ndataframe = dataframe.sort_values(by=(<span class=\"hljs-string\">\"population\"<\/span>), ascending=<span class=\"hljs-literal\">False<\/span>)\ndataframe = dataframe.iloc(<span class=\"hljs-number\">10<\/span>:)\n<span class=\"hljs-built_in\">print<\/span>(dataframe)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646\u060c \u062f\u06cc\u062a\u0627\u0641\u0631\u06cc\u0645 \u0686\u06cc\u0632\u06cc \u0634\u0628\u06cc\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">                       year  population continent  life_exp       gdp_cap\ncountry\nPhilippines            2007    91077287      Asia    71.688   3190.481016\nVietnam                2007    85262356      Asia    74.249   2441.576404\nGermany                2007    82400996    Europe    79.406  32170.374420\nEgypt                  2007    80264543    Africa    71.338   5581.180998\nEthiopia               2007    76511887    Africa    52.947    690.805576\n...                     ...         ...       ...       ...           ...\nMontenegro             2007      684736    Europe    74.543   9253.896111\nEquatorial Guinea      2007      551201    Africa    51.579  12154.089750\nDjibouti               2007      496374    Africa    54.791   2082.481567\nIceland                2007      301931    Europe    81.757  36180.789190\nSao Tome and Principe  2007      199579    Africa    65.528   1598.435089\n<\/code><\/pre>\n<p>\u0639\u0627\u0644\u06cc!  \u062d\u0627\u0644\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u06cc\u06a9 \u0634\u06a9\u0644 \u0648 \u0627\u0634\u06cc\u0627\u0621 \u0633\u0647 \u0645\u062d\u0648\u0631 \u0631\u0627 \u0628\u0627 \u0622\u0646 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 <code>subplots()<\/code> \u062a\u0627\u0628\u0639.  \u0647\u0631 \u06a9\u062f\u0627\u0645 \u0627\u0632 \u0627\u06cc\u0646 \u0645\u062d\u0648\u0631\u0647\u0627 \u06cc\u06a9 \u0637\u0631\u062d \u0648\u06cc\u0648\u0644\u0646 \u062e\u0648\u0627\u0647\u0646\u062f \u062f\u0627\u0634\u062a.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0627\u06a9\u0646\u0648\u0646 \u06cc\u06a9 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0633\u06cc\u0627\u0631 \u0642\u0627\u0628\u0644 \u06a9\u0646\u062a\u0631\u0644 \u062a\u0631\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0628\u0647 \u0622\u0646 \u0646\u06cc\u0632 \u0628\u067e\u0631\u062f\u0627\u0632\u06cc\u0645 \u0631\u0648\u06cc \u0631\u0627 <code>showmedians<\/code> \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0628\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0622\u0646 \u062f\u0631 <code>True<\/code>.<\/p>\n<p>\u0627\u06cc\u0646 \u06cc\u06a9 \u062e\u0637 \u0627\u0641\u0642\u06cc \u062f\u0631 \u0645\u06cc\u0627\u0646\u0647 \u0637\u0631\u062d \u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646 \u0645\u0627 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">\nfig, (ax1, ax2, ax3) = plt.subplots(nrows=<span class=\"hljs-number\">1<\/span>, ncols=<span class=\"hljs-number\">3<\/span>)\n\n\nax1.violinplot(dataframe.population, showmedians=<span class=\"hljs-literal\">True<\/span>)\nax1.set_title(<span class=\"hljs-string\">'Population'<\/span>)\n\n\nax2.violinplot(life_exp, showmedians=<span class=\"hljs-literal\">True<\/span>)\nax2.set_title(<span class=\"hljs-string\">'Life Expectancy'<\/span>)\n\n\nax3.violinplot(gdp_cap, showmedians=<span class=\"hljs-literal\">True<\/span>)\nax3.set_title(<span class=\"hljs-string\">'GDP Per Cap'<\/span>)\n\nplt.show()\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0627\u062c\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u062f \u0628\u0647 \u0645\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/matplotlib-violin-plot-tutorial-and-examples-2.png\" alt=\"matplotlib \u0646\u0645\u0648\u062f\u0627\u0631 \u0648\u06cc\u0648\u0644\u0646 \u0646\u0634\u0627\u0646 \u0645\u06cc\u0627\u0646\u0647 \u0645\u06cc\u0627\u0646\u0647\" title=\"\"><\/p>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u06cc\u062f\u0647 \u062e\u0648\u0628\u06cc \u0627\u0632 \u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645.  \u062e\u0637 \u0627\u0641\u0642\u06cc \u0645\u0631\u06a9\u0632\u06cc \u062f\u0631 \u0648\u06cc\u0648\u0644\u0646 \u0647\u0627 \u062c\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc\u0627\u0646\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627 \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u062f \u0648 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062d\u062f\u0627\u0642\u0644 \u0648 \u062d\u062f\u0627\u06a9\u062b\u0631 \u0628\u0627 \u0645\u0648\u0642\u0639\u06cc\u062a \u0647\u0627\u06cc \u062e\u0637 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f. \u0631\u0648\u06cc \u0645\u062d\u0648\u0631 Y<\/p>\n<h2 id=\"customizingviolinplotsinmatplotlib\"><span class=\"ez-toc-section\" id=\"%d8%b3%d9%81%d8%a7%d8%b1%d8%b4%db%8c_%da%a9%d8%b1%d8%af%d9%86_%d9%86%d9%82%d8%b4%d9%87_%d9%87%d8%a7%db%8c_%d9%88%db%8c%d9%88%d9%84%d9%86_%d8%af%d8%b1_matplotlib\"><\/span>\u0633\u0641\u0627\u0631\u0634\u06cc \u06a9\u0631\u062f\u0646 \u0646\u0642\u0634\u0647 \u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646 \u062f\u0631 Matplotlib<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u06a9\u0646\u0648\u0646\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0631\u0648\u0634 \u0633\u0641\u0627\u0631\u0634\u06cc \u0633\u0627\u0632\u06cc \u0648\u06cc\u0648\u0644\u0646 \u067e\u0644\u0627\u062a \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645.<\/p>\n<h3 id=\"addingxandyticks\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b6%d8%a7%d9%81%d9%87_%da%a9%d8%b1%d8%af%d9%86_%d8%aa%db%8c%da%a9_x_%d9%88_y\"><\/span>\u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u062a\u06cc\u06a9 X \u0648 Y<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0628\u0627 \u0645\u0648\u0641\u0642\u06cc\u062a \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u0627\u0646\u062f\u060c \u0628\u062f\u0648\u0646 \u0628\u0631\u0686\u0633\u0628 \u062a\u06cc\u06a9 \u0631\u0648\u06cc \u062f\u0631 \u0645\u062d\u0648\u0631 X \u0648 Y \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062a\u0641\u0633\u06cc\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0634\u0648\u0627\u0631 \u0628\u0627\u0634\u062f.  \u0627\u0646\u0633\u0627\u0646 \u0647\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0642\u0648\u0644\u0647 \u0627\u06cc \u0631\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0631\u0627\u062d\u062a \u062a\u0631 \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0639\u062f\u062f\u06cc \u062a\u0641\u0633\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u0646\u062f.<\/p>\n<p>\u0645\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0637\u0631\u062d \u0631\u0627 \u0633\u0641\u0627\u0631\u0634\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646\u060c \u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627\u06cc\u06cc \u0631\u0627 \u0628\u0647 \u0645\u062d\u0648\u0631 X \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645 <code>set_xticks()<\/code> \u062a\u0627\u0628\u0639:<\/p>\n<pre><code class=\"hljs\">fig, ax = plt.subplots()\nax.violinplot(gdp_cap, showmedians=<span class=\"hljs-literal\">True<\/span>)\nax.set_title(<span class=\"hljs-string\">'violin plot'<\/span>)\nax.set_xticks((<span class=\"hljs-number\">1<\/span>))\nax.set_xticklabels((<span class=\"hljs-string\">\"Country GDP\"<\/span>,))\nplt.show()\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0645\u0646\u062c\u0631 \u0628\u0647:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/matplotlib-violin-plot-tutorial-and-examples-3.png\" alt=\"\u062a\u06cc\u06a9 \u0647\u0627\u06cc x \u0648 y \u0631\u0627 \u0628\u0647 \u0637\u0631\u062d \u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646 \u062f\u0631 matplotlib \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f\" title=\"\"><\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u062a\u06cc\u06a9\u200c\u0647\u0627\u06cc X \u0631\u0627 \u0627\u0632 \u06cc\u06a9 \u0645\u062d\u062f\u0648\u062f\u0647 \u0628\u0647 \u06cc\u06a9 \u062a\u06a9\u060c \u062f\u0631 \u0648\u0633\u0637 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 \u0648 \u0628\u0631\u0686\u0633\u0628\u06cc \u0631\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 \u06a9\u0647 \u062a\u0641\u0633\u06cc\u0631 \u0622\u0646 \u0622\u0633\u0627\u0646 \u0627\u0633\u062a.<\/p>\n<h3 id=\"plottinghorizontalviolinplotinmatplotlib\"><span class=\"ez-toc-section\" id=\"%d8%aa%d9%88%d8%b7%d8%a6%d9%87_%d9%88%db%8c%d9%88%d9%84%d9%86_%d8%a7%d9%81%d9%82%db%8c_%d8%af%d8%b1_matplotlib\"><\/span>\u062a\u0648\u0637\u0626\u0647 \u0648\u06cc\u0648\u0644\u0646 \u0627\u0641\u0642\u06cc \u062f\u0631 Matplotlib<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u06af\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u062c\u0647\u062a \u0637\u0631\u062d \u0631\u0627 \u0628\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0627\u062f\u0646 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u0645 <code>vert<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631. <code>vert<\/code> \u06a9\u0646\u062a\u0631\u0644 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0622\u06cc\u0627 \u0637\u0631\u062d \u0628\u0647 \u0635\u0648\u0631\u062a \u0639\u0645\u0648\u062f\u06cc \u0631\u0646\u062f\u0631 \u0634\u0648\u062f \u06cc\u0627 \u0646\u0647 \u0648 \u0622\u0646 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f <code>True<\/code> \u0628\u0647 \u0635\u0648\u0631\u062a \u067e\u06cc\u0634 \u0641\u0631\u0636:<\/p>\n<pre><code class=\"hljs\">fig, ax = plt.subplots()\nax.violinplot(gdp_cap, showmedians=<span class=\"hljs-literal\">True<\/span>, vert=<span class=\"hljs-literal\">False<\/span>)\nax.set_title(<span class=\"hljs-string\">'violin plot'<\/span>)\nax.set_yticks((<span class=\"hljs-number\">1<\/span>))\nax.set_yticklabels((<span class=\"hljs-string\">\"Country GDP\"<\/span>,))\nax.tick_params(axis=<span class=\"hljs-string\">'y'<\/span>, labelrotation = <span class=\"hljs-number\">90<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/matplotlib-violin-plot-tutorial-and-examples-4.png\" alt=\"\u0637\u0631\u062d \u0627\u0641\u0642\u06cc \u0648\u06cc\u0648\u0644\u0646 \u062f\u0631 matplotlib\" title=\"\"><\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u062a\u06cc\u06a9 \u0645\u062d\u0648\u0631 Y \u0648 \u0641\u0631\u06a9\u0627\u0646\u0633 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u062c\u0627\u06cc \u0645\u062d\u0648\u0631 X \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645.  \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627 \u0631\u0627 90 \u062f\u0631\u062c\u0647 \u0686\u0631\u062e\u0627\u0646\u062f\u0647 \u0627\u06cc\u0645<\/p>\n<h3 id=\"showingdatasetmeansinviolinplots\"><span class=\"ez-toc-section\" id=\"%d9%86%d9%85%d8%a7%db%8c%d8%b4_%d9%85%d8%b9%d9%86%db%8c_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7_%d8%af%d8%b1_%d8%b7%d8%b1%d8%ad_%d9%87%d8%a7%db%8c_%d9%88%db%8c%d9%88%d9%84%d9%86\"><\/span>\u0646\u0645\u0627\u06cc\u0634 \u0645\u0639\u0646\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u0637\u0631\u062d \u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u0627 \u0628\u0631\u062e\u06cc \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0633\u0641\u0627\u0631\u0634\u06cc \u0633\u0627\u0632\u06cc \u062f\u06cc\u06af\u0631 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u062f\u0627\u0631\u06cc\u0645.  \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0645\u06cc\u0627\u0646\u0647\u200c\u0647\u0627\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0646\u0634\u0627\u0646\u200c\u062f\u0647\u0646\u062f\u0647 \u0646\u0634\u0627\u0646 \u062f\u0647\u06cc\u0645 <code>showmean<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0633\u0639\u06cc \u06a9\u0646\u06cc\u0645 \u0627\u0628\u0632\u0627\u0631\u0647\u0627 \u0631\u0627 \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0645\u06cc\u0627\u0646\u0647 \u0647\u0627 \u062a\u062c\u0633\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">fig, (ax1, ax2, ax3) = plt.subplots(nrows=<span class=\"hljs-number\">1<\/span>, ncols=<span class=\"hljs-number\">3<\/span>)\nax1.violinplot(population, showmedians=<span class=\"hljs-literal\">True<\/span>, showmeans=<span class=\"hljs-literal\">True<\/span>, vert=<span class=\"hljs-literal\">False<\/span>)\nax1.set_title(<span class=\"hljs-string\">'Population'<\/span>)\n\nax2.violinplot(life_exp, showmedians=<span class=\"hljs-literal\">True<\/span>, showmeans=<span class=\"hljs-literal\">True<\/span>, vert=<span class=\"hljs-literal\">False<\/span>)\nax2.set_title(<span class=\"hljs-string\">'Life Expectancy'<\/span>)\n\nax3.violinplot(gdp_cap, showmedians=<span class=\"hljs-literal\">True<\/span>, showmeans=<span class=\"hljs-literal\">True<\/span>, vert=<span class=\"hljs-literal\">False<\/span>)\nax3.set_title(<span class=\"hljs-string\">'GDP Per Cap'<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/matplotlib-violin-plot-tutorial-and-examples-5.png\" alt=\"\u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0645\u0639\u0646\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u0648\u06cc\u0648\u0644\u0646 \u062f\u0631 matplotlib\" title=\"\"><\/p>\n<p>\u0627\u06af\u0631\u0686\u0647\u060c \u0644\u0637\u0641\u0627\u064b \u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u06cc\u0627\u0646\u0647\u200c\u0647\u0627 \u0648 \u0645\u0639\u0646\u06cc\u200c\u0647\u0627 \u0627\u0633\u0627\u0633\u0627\u064b \u06cc\u06a9\u0633\u0627\u0646 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc\u200c\u0631\u0633\u0646\u062f\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0645\u0634\u062e\u0635 \u0646\u0628\u0627\u0634\u062f \u06a9\u0647 \u06a9\u062f\u0627\u0645 \u062e\u0637 \u0639\u0645\u0648\u062f\u06cc \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0628\u0647 \u06cc\u06a9 \u0645\u06cc\u0627\u0646\u0647 \u0648 \u06a9\u062f\u0627\u0645 \u0628\u0647 \u06cc\u06a9 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0627\u0634\u0627\u0631\u0647 \u062f\u0627\u0631\u062f.<\/p>\n<h3 id=\"customizingkerneldensityestimationforviolinplots\"><span class=\"ez-toc-section\" id=\"%d8%b3%d9%81%d8%a7%d8%b1%d8%b4%db%8c_%da%a9%d8%b1%d8%af%d9%86_%d8%aa%d8%ae%d9%85%db%8c%d9%86_%da%86%da%af%d8%a7%d9%84%db%8c_%d9%87%d8%b3%d8%aa%d9%87_%d8%a8%d8%b1%d8%a7%db%8c_%d9%be%d9%84%d8%a7%d8%aa_%d9%88%db%8c%d9%88%d9%84%d9%86\"><\/span>\u0633\u0641\u0627\u0631\u0634\u06cc \u06a9\u0631\u062f\u0646 \u062a\u062e\u0645\u06cc\u0646 \u0686\u06af\u0627\u0644\u06cc \u0647\u0633\u062a\u0647 \u0628\u0631\u0627\u06cc \u067e\u0644\u0627\u062a \u0648\u06cc\u0648\u0644\u0646<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u062a\u0639\u062f\u0627\u062f \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647\u200c\u0627\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u062f\u0644 \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u0627\u06cc\u062c\u0627\u062f \u062a\u062e\u0645\u06cc\u0646\u200c\u0647\u0627\u06cc \u0686\u06af\u0627\u0644\u06cc \u0647\u0633\u062a\u0647 \u06af\u0627\u0648\u0633\u06cc \u062f\u0631 \u0646\u0638\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f\u060c \u0628\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0627\u062f\u0646 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u0645. <code>points<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631.<\/p>\n<p>\u062a\u0639\u062f\u0627\u062f \u0627\u0645\u062a\u06cc\u0627\u0632 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u0628\u0647 \u0637\u0648\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 100 \u0627\u0633\u062a.  \u0628\u0627 \u0627\u0631\u0627\u0626\u0647 \u062a\u0627\u0628\u0639 \u0628\u0627 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u06a9\u0645\u062a\u0631\u06cc \u0628\u0631\u0627\u06cc \u062a\u062e\u0645\u06cc\u0646 \u0632\u062f\u0646\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u062f\u0647 \u06a9\u0645\u062a\u0631 \u0646\u0645\u0627\u06cc\u0646\u062f\u0647\u200c\u0627\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u06cc\u0646 \u0639\u062f\u062f \u0631\u0627 \u0628\u0647 \u0645\u062b\u0644\u0627\u064b 10 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">fig, ax = plt.subplots()\nax.violinplot(gdp_cap, showmedians=<span class=\"hljs-literal\">True<\/span>, points=<span class=\"hljs-number\">10<\/span>)\nax.set_title(<span class=\"hljs-string\">'violin plot'<\/span>)\nax.set_xticks((<span class=\"hljs-number\">1<\/span>))\nax.set_xticklabels((<span class=\"hljs-string\">\"Country GDP\"<\/span>,))\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/matplotlib-violin-plot-tutorial-and-examples-6.png\" alt=\"\u0633\u0641\u0627\u0631\u0634\u06cc \u06a9\u0631\u062f\u0646 \u062a\u062e\u0645\u06cc\u0646 \u0686\u06af\u0627\u0644\u06cc \u0647\u0633\u062a\u0647 \u0628\u0631\u0627\u06cc \u0637\u0631\u062d \u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646 \u062f\u0631 matplotlib\" title=\"\"><\/p>\n<p>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0634\u06a9\u0644 \u0648\u06cc\u0648\u0644\u0646 \u06a9\u0645\u062a\u0631 \u0635\u0627\u0641 \u0627\u0633\u062a \u0632\u06cc\u0631\u0627 \u0646\u0642\u0627\u0637 \u06a9\u0645\u062a\u0631\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0628\u0647 \u0637\u0648\u0631 \u0645\u0639\u0645\u0648\u0644\u060c \u0634\u0645\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u062a\u0639\u062f\u0627\u062f \u0646\u0642\u0627\u0637 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u062f\u0647 \u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0647\u06cc\u062f \u062a\u0627 \u062f\u0631\u06a9 \u0628\u0647\u062a\u0631\u06cc \u0627\u0632 \u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.  \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0647\u0645\u06cc\u0634\u0647 \u0627\u06cc\u0646\u0637\u0648\u0631 \u0646\u0628\u0627\u0634\u062f\u060c \u0627\u06af\u0631 100 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u06a9\u0627\u0641\u06cc \u0628\u0627\u0634\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0637\u0631\u062d \u0648\u06cc\u0648\u0644\u0646 10\u060c 100 \u0648 500 \u0646\u0642\u0637\u0647 \u0627\u06cc \u0631\u0627 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">fig, (ax1, ax2, ax3) = plt.subplots(nrows=<span class=\"hljs-number\">1<\/span>, ncols=<span class=\"hljs-number\">3<\/span>)\nax1.violinplot(gdp_cap, showmedians=<span class=\"hljs-literal\">True<\/span>, points=<span class=\"hljs-number\">10<\/span>)\nax1.set_title(<span class=\"hljs-string\">'GDP Per Cap, 10p'<\/span>)\n\nax2.violinplot(gdp_cap, showmedians=<span class=\"hljs-literal\">True<\/span>, points=<span class=\"hljs-number\">100<\/span>)\nax2.set_title(<span class=\"hljs-string\">'GDP Per Cap, 100p'<\/span>)\n\nax3.violinplot(gdp_cap, showmedians=<span class=\"hljs-literal\">True<\/span>, points=<span class=\"hljs-number\">500<\/span>)\nax3.set_title(<span class=\"hljs-string\">'GDP Per Cap, 500p'<\/span>)\nplt.show()\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0645\u0646\u062c\u0631 \u0628\u0647:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/matplotlib-violin-plot-tutorial-and-examples-7.png\" alt=\"\u0627\u0646\u062f\u0627\u0632\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0646\u0645\u0648\u0646\u0647 KDE \u0628\u0631\u0627\u06cc \u0637\u0631\u062d \u0648\u06cc\u0648\u0644\u0646\" title=\"\"><\/p>\n<p>\u0647\u06cc\u0686 \u062a\u0641\u0627\u0648\u062a \u0622\u0634\u06a9\u0627\u0631\u06cc \u0628\u06cc\u0646 \u0637\u0631\u062d \u062f\u0648\u0645 \u0648 \u0633\u0648\u0645 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f\u060c \u0647\u0631 \u0686\u0646\u062f\u060c \u06cc\u06a9 \u062a\u0641\u0627\u0648\u062a \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647 \u0628\u06cc\u0646 \u0627\u0648\u0644 \u0648 \u062f\u0648\u0645 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.<\/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 \u0645\u0627 \u0686\u0646\u062f\u06cc\u0646 \u0631\u0648\u0634 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645 \u0637\u0631\u062d \u0648\u06cc\u0648\u0644\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Matplotlib \u0648 Python \u0628\u0631\u0631\u0633\u06cc \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645.  \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0631\u0648\u0634 \u0633\u0641\u0627\u0631\u0634\u06cc \u06a9\u0631\u062f\u0646 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0627 \u0627\u0641\u0632\u0648\u062f\u0646 \u062a\u06cc\u06a9 \u0647\u0627\u06cc X \u0648 Y\u060c \u062a\u0631\u0633\u06cc\u0645 \u0627\u0641\u0642\u06cc\u060c \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062a\u063a\u06cc\u06cc\u0631 \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0627\u0632 \u0646\u0642\u0637\u0647 KDE \u067e\u0648\u0634\u0634 \u062f\u0627\u062f\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>\u060c \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 \u062f\u0631 \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                        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