{"id":16502,"date":"2024-01-26T01:10:43","date_gmt":"2024-01-25T21:40:43","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/"},"modified":"2024-01-26T01:10:43","modified_gmt":"2024-01-25T21:40:43","slug":"%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/","title":{"rendered":"\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 Matplotlib"},"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%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%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%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%d8%aa%d8%ba%db%8c%db%8c%d8%b1_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%d9%87_%d8%b7%d8%b1%d8%ad_%d9%be%db%8c%d8%b4_%d9%81%d8%b1%d8%b6\" >\u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u0637\u0631\u062d \u067e\u06cc\u0634 \u0641\u0631\u0636<\/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%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%d8%b7%d8%b1%d8%ad_%d8%ae%d8%b7\" >\u0637\u0631\u062d \u062e\u0637<\/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%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%d8%a7%db%8c%d8%ac%d8%a7%d8%af_%d9%be%d9%84%d8%a7%d8%aa_%d9%87%d8%a7%db%8c_%d9%85%d8%aa%d8%b9%d8%af%d8%af\" >\u0627\u06cc\u062c\u0627\u062f \u067e\u0644\u0627\u062a \u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f<\/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\/%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%d8%aa%d8%b1%d8%b3%db%8c%d9%85_%d8%a8%d9%87_%d8%b1%d9%88%d8%b4_%d8%b4%db%8c_%da%af%d8%b1%d8%a7\" >\u062a\u0631\u0633\u06cc\u0645 \u0628\u0647 \u0631\u0648\u0634 \u0634\u06cc \u06af\u0631\u0627<\/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\/%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%d8%b7%d8%b1%d8%ad_%d9%87%d8%a7%db%8c_%d9%81%d8%b1%d8%b9%db%8c\" >\u0637\u0631\u062d \u0647\u0627\u06cc \u0641\u0631\u0639\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\/%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%d8%aa%d8%ba%db%8c%db%8c%d8%b1_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%d9%87_%d8%b4%da%a9%d9%84_%d8%a8%d8%b1%d8%a7%db%8c_%db%8c%da%a9_%d9%be%d9%84%d8%a7%d8%aa\" >\u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u0634\u06a9\u0644 \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u067e\u0644\u0627\u062a<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%d8%a7%d9%81%d8%b2%d9%88%d8%af%d9%86_%d8%a7%d9%81%d8%b3%d8%a7%d9%86%d9%87_%d9%87%d8%a7\" >\u0627\u0641\u0632\u0648\u062f\u0646 \u0627\u0641\u0633\u0627\u0646\u0647 \u0647\u0627<\/a><\/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%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%da%af%d8%b2%db%8c%d9%86%d9%87_%d9%87%d8%a7%db%8c_%d8%b1%d9%86%da%af\" >\u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0631\u0646\u06af<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%d9%be%d9%84%d8%a7%d8%aa_%d9%be%d8%b4%d8%aa%d9%87\" >\u067e\u0644\u0627\u062a \u067e\u0634\u062a\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1_%d8%af%d8%a7%db%8c%d8%b1%d9%87_%d8%a7%db%8c\" >\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0627\u06cc\u0631\u0647 \u0627\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%db%8c%da%a9_%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1\" >\u0630\u062e\u06cc\u0631\u0647 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-matplotlib\/#%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\"> 10<\/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>\u062a\u062c\u0633\u0645 \u0631\u0648\u0646\u062f\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0647\u0645\u062a\u0631\u06cc\u0646 \u0648\u0638\u0627\u06cc\u0641 \u062f\u0631 \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a.  \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u06a9\u0627\u0648\u06cc \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0647 \u0634\u062f\u062a \u0628\u0633\u062a\u06af\u06cc \u062f\u0627\u0631\u062f \u0631\u0648\u06cc \u0627\u0644\u06af\u0648\u0647\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u062f\u0647 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645.  \u0645\u0627 \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/matplotlib.org\/\">\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Matplotlib<\/a> \u06a9\u0647 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0648\u0627\u0642\u0639\u06cc \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a.<\/p>\n<p>\u0645\u0642\u0627\u0644\u0647 \u0622\u0634\u0646\u0627\u06cc\u06cc \u0645\u062e\u062a\u0635\u0631 \u0628\u0627 Matplotlib \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0645\u0642\u062f\u0645\u0647 \u0633\u0637\u062d \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627\u06cc\u06cc \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Matplot \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f \u0648 \u0631\u0648\u0634 \u062a\u0631\u0633\u06cc\u0645 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u067e\u0631\u0627\u06a9\u0646\u062f\u06af\u06cc\u060c \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0646\u0648\u0627\u0631\u06cc\u060c \u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 \u0648 \u063a\u06cc\u0631\u0647 \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc \u062f\u0647\u062f. \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647\u060c \u0639\u0645\u0644\u06a9\u0631\u062f\u0647\u0627\u06cc Matplotlib \u0628\u06cc\u0634\u062a\u0631\u06cc \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<h2 id=\"changingdefaultplotsize\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%ba%db%8c%db%8c%d8%b1_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%d9%87_%d8%b7%d8%b1%d8%ad_%d9%be%db%8c%d8%b4_%d9%81%d8%b1%d8%b6\"><\/span>\u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u0637\u0631\u062d \u067e\u06cc\u0634 \u0641\u0631\u0636<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0648\u0644\u06cc\u0646 \u06a9\u0627\u0631\u06cc \u06a9\u0647 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u0637\u0631\u062d \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u0645.  \u0628\u0647 \u0637\u0648\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636\u060c \u0627\u0646\u062f\u0627\u0632\u0647 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc Matplotlib 6 \u062f\u0631 4 \u0627\u06cc\u0646\u0686 \u0627\u0633\u062a.  \u0627\u0646\u062f\u0627\u0632\u0647 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u062f\u0633\u062a\u0648\u0631 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0631\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n\n<span class=\"hljs-built_in\">print<\/span>(plt.rcParams.get(<span class=\"hljs-string\">'figure.figsize'<\/span>))\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u0628\u0647\u062a\u0631\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0646\u06cc\u0627\u0632 \u0628\u0647 \u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0646\u0645\u0648\u062f\u0627\u0631 Matplotlib \u0628\u0627\u0634\u062f.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">fig_size = plt.rcParams(<span class=\"hljs-string\">\"figure.figsize\"<\/span>)\nfig_size(<span class=\"hljs-number\">0<\/span>) = <span class=\"hljs-number\">10<\/span>\nfig_size(<span class=\"hljs-number\">1<\/span>) = <span class=\"hljs-number\">8<\/span>\nplt.rcParams(<span class=\"hljs-string\">\"figure.figsize\"<\/span>) = fig_size\n<\/code><\/pre>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0627\u0646\u062f\u0627\u0632\u0647 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc Matplotlib \u0631\u0627 \u0628\u0647 10 \u062f\u0631 8 \u0627\u06cc\u0646\u0686 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u062d\u062b \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u06cc\u06a9 \u0637\u0631\u062d \u062e\u0637 \u0633\u0627\u062f\u0647 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645.<\/p>\n<h2 id=\"lineplot\"><span class=\"ez-toc-section\" id=\"%d8%b7%d8%b1%d8%ad_%d8%ae%d8%b7\"><\/span>\u0637\u0631\u062d \u062e\u0637<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062e\u0637 \u062e\u0637\u06cc \u0627\u0633\u0627\u0633\u06cc \u062a\u0631\u06cc\u0646 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0631 Matplotlib \u0627\u0633\u062a.  \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u0631\u0633\u0645 \u0647\u0631 \u062a\u0627\u0628\u0639\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u0645\u0648\u062f\u0627\u0631 \u062e\u0637\u06cc \u0628\u0631\u0627\u06cc \u062a\u0627\u0628\u0639 \u0645\u06a9\u0639\u0628 \u0631\u0633\u0645 \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nplt.plot(x, y, <span class=\"hljs-string\">'b'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'X axis'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Y axis'<\/span>)\nplt.title(<span class=\"hljs-string\">'Cube Function'<\/span>)\nplt.show()\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0645\u0627 \u0627\u0628\u062a\u062f\u0627 import \u0631\u0627 <code>pyplot<\/code> \u06a9\u0644\u0627\u0633 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Matplotlib.  \u0645\u0627 \u062f\u0648 \u062a\u0627 \u062f\u0627\u0631\u06cc\u0645 <code>numpy<\/code> \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627 <code>x<\/code> \u0648 <code>y<\/code> \u062f\u0631 \u0641\u06cc\u0644\u0645\u0646\u0627\u0645\u0647 \u0645\u0627  \u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u06cc\u0645 <code>linspace<\/code> \u0631\u0648\u0634 \u0627\u0632 <code>numpy<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0627\u06cc \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0644\u06cc\u0633\u062a 20 \u0639\u062f\u062f\u06cc \u0628\u06cc\u0646 10- \u062a\u0627 \u0645\u062b\u0628\u062a 9. \u0633\u067e\u0633 \u0645\u06a9\u0639\u0628 \u0645\u06cc \u06af\u06cc\u0631\u06cc\u0645 root \u0627\u0632 \u062a\u0645\u0627\u0645 \u0627\u0639\u062f\u0627\u062f \u0648 \u0646\u062a\u06cc\u062c\u0647 \u0631\u0627 \u0628\u0647 \u0645\u062a\u063a\u06cc\u0631 \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0647\u06cc\u062f <code>y<\/code>.  \u0628\u0631\u0627\u06cc \u0637\u0631\u062d \u062f\u0648 <code>numpy<\/code> \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627\u060c \u0634\u0645\u0627 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 <code>plot<\/code> \u0631\u0648\u0634 \u0627\u0632 <code>pyplot<\/code> \u06a9\u0644\u0627\u0633 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Matplotlib.  \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f <code>xlabel<\/code>\u060c <code>ylabel<\/code> \u0648 <code>title<\/code> \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc <code>pyplot<\/code> \u06a9\u0644\u0627\u0633 \u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u0628\u0631\u0686\u0633\u0628 \u0632\u062f\u0646 \u0645\u062d\u0648\u0631 x\u060c \u0645\u062d\u0648\u0631 y \u0648 \u0639\u0646\u0648\u0627\u0646 \u0637\u0631\u062d.  \u062e\u0631\u0648\u062c\u06cc \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-1.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"creatingmultipleplots\"><span class=\"ez-toc-section\" id=\"%d8%a7%db%8c%d8%ac%d8%a7%d8%af_%d9%be%d9%84%d8%a7%d8%aa_%d9%87%d8%a7%db%8c_%d9%85%d8%aa%d8%b9%d8%af%d8%af\"><\/span>\u0627\u06cc\u062c\u0627\u062f \u067e\u0644\u0627\u062a \u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0634\u0645\u0627 \u062f\u0631 \u0648\u0627\u0642\u0639 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u06cc\u0634 \u0627\u0632 \u06cc\u06a9 \u0637\u0631\u062d \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f \u0631\u0648\u06cc \u06cc\u06a9 \u0628\u0648\u0645 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Matplotlib.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0628\u0627\u06cc\u062f \u0627\u0632 <code>subplot<\/code> \u062a\u0627\u0628\u0639\u06cc \u06a9\u0647 \u0645\u06a9\u0627\u0646 \u0648 \u0634\u0645\u0627\u0631\u0647 \u0637\u0631\u062d \u0631\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f.  \u0628\u0647 \u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nplt.subplot(<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">1<\/span>)\nplt.plot(x, y, <span class=\"hljs-string\">'b*-'<\/span>)\nplt.subplot(<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">2<\/span>)\nplt.plot(x, y, <span class=\"hljs-string\">'y--'<\/span>)\nplt.subplot(<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">3<\/span>)\nplt.plot(x, y, <span class=\"hljs-string\">'b*-'<\/span>)\nplt.subplot(<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">4<\/span>)\nplt.plot(x, y, <span class=\"hljs-string\">'y--'<\/span>)\n<\/code><\/pre>\n<p>\u0627\u0648\u0644\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0628\u0647 <code>subplot<\/code> \u062a\u0627\u0628\u0639 \u0631\u062f\u06cc\u0641\u200c\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0641\u0631\u0639\u06cc \u062e\u0648\u0627\u0647\u0646\u062f \u062f\u0627\u0634\u062a \u0648 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u062f\u0648\u0645 \u062a\u0639\u062f\u0627\u062f \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u0622\u0646 \u0631\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc\u200c\u06a9\u0646\u062f.  \u0645\u0642\u062f\u0627\u0631 2\u060c2 \u06af\u0648\u0646\u0647 \u06a9\u0647 \u0686\u0647\u0627\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u0648\u062c\u0648\u062f \u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a.  \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0633\u0648\u0645 \u0645\u0648\u0642\u0639\u06cc\u062a\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0631 \u0622\u0646 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0645\u0648\u0642\u0639\u06cc\u062a \u0647\u0627 \u0627\u0632 \u0628\u0627\u0644\u0627 \u0628\u0647 \u0686\u067e \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u0646\u062f.  \u0646\u0645\u0648\u062f\u0627\u0631 \u0628\u0627 \u0645\u0648\u0642\u0639\u06cc\u062a 1 \u062f\u0631 \u0633\u0637\u0631 \u0627\u0648\u0644 \u0648 \u0633\u062a\u0648\u0646 \u0627\u0648\u0644 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0628\u0647 \u0637\u0648\u0631 \u0645\u0634\u0627\u0628\u0647\u060c \u0646\u0645\u0648\u062f\u0627\u0631 \u0628\u0627 \u0645\u0648\u0642\u0639\u06cc\u062a 2 \u062f\u0631 \u0633\u0637\u0631 \u0627\u0648\u0644 \u0648 \u0633\u062a\u0648\u0646 \u062f\u0648\u0645 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u0628\u0647 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0633\u0648\u0645 \u0622\u0646 \u0646\u06af\u0627\u0647\u06cc \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u062f <code>plot<\/code> \u062a\u0627\u0628\u0639.  \u0627\u06cc\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0634\u06a9\u0644 \u0648 \u0631\u0646\u06af \u0646\u0634\u0627\u0646\u06af\u0631 \u0631\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u0646\u0645\u0648\u062f\u0627\u0631<\/p>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-2.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"plottinginobjectorientedway\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%b1%d8%b3%db%8c%d9%85_%d8%a8%d9%87_%d8%b1%d9%88%d8%b4_%d8%b4%db%8c_%da%af%d8%b1%d8%a7\"><\/span>\u062a\u0631\u0633\u06cc\u0645 \u0628\u0647 \u0631\u0648\u0634 \u0634\u06cc \u06af\u0631\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0642\u0633\u0645\u062a \u0642\u0628\u0644 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u06cc\u0645 <code>plot<\/code> \u0631\u0648\u0634 \u0627\u0632 <code>pyplot<\/code> \u06a9\u0644\u0627\u0633 \u0648 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u062e\u062a\u0635\u0627\u062a x \u0648 y \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0647\u0645\u06cc\u0646 \u0637\u0631\u062d \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0631\u0648\u0634 \u0634\u06cc \u06af\u0631\u0627 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0631\u062f.  \u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nfigure = plt.figure()\n\naxes = figure.add_axes((<span class=\"hljs-number\">0.2<\/span>, <span class=\"hljs-number\">0.2<\/span>, <span class=\"hljs-number\">0.8<\/span>, <span class=\"hljs-number\">0.8<\/span>))\n<\/code><\/pre>\n<p>\u0631\u0627 <code>figure<\/code> \u0631\u0648\u0634\u06cc \u0628\u0647 \u0646\u0627\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 <code>pyplot<\/code> \u06a9\u0644\u0627\u0633 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u062f <code>figure<\/code> \u0647\u062f\u0641 &#8211; \u0634\u06cc.  \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f <code>add_axes<\/code> \u0631\u0648\u0634 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u0634\u06cc  \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0628\u0647 <code>add_axes<\/code> \u0631\u0648\u0634 \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u0641\u0627\u0635\u0644\u0647 \u0627\u0632 \u0633\u0645\u062a \u0686\u067e \u0648 \u067e\u0627\u06cc\u06cc\u0646 \u0645\u062d\u0648\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0648 \u0639\u0631\u0636 \u0648 \u0627\u0631\u062a\u0641\u0627\u0639 \u0645\u062d\u0648\u0631 \u0627\u0633\u062a.  \u0645\u0642\u062f\u0627\u0631 \u0627\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06a9\u0633\u0631\u06cc \u0627\u0632 \u0627\u0646\u062f\u0627\u0632\u0647 \u0634\u06a9\u0644 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0630\u06a9\u0631 \u0634\u0648\u062f.  \u0628\u0627 \u0627\u062c\u0631\u0627\u06cc \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u06cc\u06a9 \u0645\u062d\u0648\u0631 \u062e\u0627\u0644\u06cc \u0645\u0627\u0646\u0646\u062f \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-3.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0645\u0627 \u0645\u062d\u0648\u0631 \u062e\u0648\u062f \u0631\u0627 \u062f\u0627\u0631\u06cc\u0645\u060c \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0648\u0631 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0628\u0627\u06cc\u062f \u0628\u0627 \u0622\u0646 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u0645 <code>plot<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627 \u0631\u0627 \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0637\u0648\u0631 \u0645\u0634\u0627\u0628\u0647\u060c \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0628\u0631\u0686\u0633\u0628 \u0628\u0631\u0627\u06cc \u0645\u062d\u0648\u0631 x\u060c \u0645\u062d\u0648\u0631 y \u0648 \u0628\u0631\u0627\u06cc \u0639\u0646\u0648\u0627\u0646\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 <code>set_xlabel<\/code>\u060c <code>set_ylabel<\/code> \u0648 <code>set_title<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nfigure = plt.figure()\n\naxes = figure.add_axes((<span class=\"hljs-number\">0.2<\/span>, <span class=\"hljs-number\">0.2<\/span>, <span class=\"hljs-number\">0.8<\/span>, <span class=\"hljs-number\">0.8<\/span>))\n\naxes.plot(x, y, <span class=\"hljs-string\">'b'<\/span>)\naxes.set_xlabel(<span class=\"hljs-string\">'X Axis'<\/span>)\naxes.set_ylabel(<span class=\"hljs-string\">'Y Axis'<\/span>)\naxes.set_title(<span class=\"hljs-string\">'Cube function'<\/span>)\n<\/code><\/pre>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-4.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u062e\u0631\u0648\u062c\u06cc \u0645\u0634\u0627\u0628\u0647 \u0647\u0645\u0627\u0646 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0628\u062e\u0634 \u06af\u0630\u0634\u062a\u0647 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0631\u062f\u06cc\u0645 \u0627\u0645\u0627 \u0627\u06cc\u0646 \u0628\u0627\u0631 \u0627\u0632 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0634\u06cc \u06af\u0631\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u06cc\u0645.<\/p>\n<p>\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0647\u0631 \u062a\u0639\u062f\u0627\u062f \u0645\u062d\u0648\u0631 \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f \u0631\u0648\u06cc \u06cc\u06a9 \u0637\u0631\u062d \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>add_axes<\/code> \u0631\u0648\u0634.  \u0628\u0647 \u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nz = x ** <span class=\"hljs-number\">2<\/span>\n\nfigure = plt.figure()\n\naxes = figure.add_axes((<span class=\"hljs-number\">0.0<\/span>, <span class=\"hljs-number\">0.0<\/span>, <span class=\"hljs-number\">0.9<\/span>, <span class=\"hljs-number\">0.9<\/span>))\naxes2 = figure.add_axes((<span class=\"hljs-number\">0.07<\/span>, <span class=\"hljs-number\">0.55<\/span>, <span class=\"hljs-number\">0.35<\/span>, <span class=\"hljs-number\">0.3<\/span>)) \n\naxes.plot(x, y, <span class=\"hljs-string\">'b'<\/span>)\naxes.set_xlabel(<span class=\"hljs-string\">'X Axis'<\/span>)\naxes.set_ylabel(<span class=\"hljs-string\">'Y Axis'<\/span>)\naxes.set_title(<span class=\"hljs-string\">'Cube function'<\/span>)\n\naxes2.plot(x, z, <span class=\"hljs-string\">'r'<\/span>)\naxes2.set_xlabel(<span class=\"hljs-string\">'X Axis'<\/span>)\naxes2.set_ylabel(<span class=\"hljs-string\">'Y Axis'<\/span>)\naxes2.set_title(<span class=\"hljs-string\">'Square function'<\/span>)\n<\/code><\/pre>\n<p>\u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0628\u0627 \u062f\u0642\u062a \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u062f.  \u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u062f\u0648 \u0645\u062d\u0648\u0631 \u062f\u0627\u0631\u06cc\u0645.  \u0645\u062d\u0648\u0631 \u0627\u0648\u0644 \u0634\u0627\u0645\u0644 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u06a9\u0639\u0628 \u0627\u0633\u062a root \u0627\u0632 \u0648\u0631\u0648\u062f\u06cc \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0645\u062d\u0648\u0631 \u062f\u0648\u0645 \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u0631\u0628\u0639 \u0631\u0627 \u062a\u0631\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f root \u0627\u0632 \u0647\u0645\u0627\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u06cc\u06af\u0631 \u0628\u0631\u0627\u06cc \u0645\u062d\u0648\u0631 \u0645\u06a9\u0639\u0628.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644\u060c \u0646\u0642\u0634 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0686\u067e\u060c \u067e\u0627\u06cc\u06cc\u0646\u060c \u0639\u0631\u0636 \u0648 \u0627\u0631\u062a\u0641\u0627\u0639 \u0631\u0627 \u0628\u0647\u062a\u0631 \u062f\u0631\u06a9 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.  \u062f\u0631 \u0645\u062d\u0648\u0631 \u0627\u0648\u0644\u060c \u0645\u0642\u0627\u062f\u06cc\u0631 \u0686\u067e \u0648 \u067e\u0627\u06cc\u06cc\u0646 \u0635\u0641\u0631 \u0648 \u0645\u0642\u062f\u0627\u0631 \u0639\u0631\u0636 \u0648 \u0627\u0631\u062a\u0641\u0627\u0639 \u0631\u0648\u06cc 0.9 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u062d\u0648\u0631 \u0628\u06cc\u0631\u0648\u0646\u06cc \u0645\u0627 90 \u062f\u0631\u0635\u062f \u0639\u0631\u0636 \u0648 \u0627\u0631\u062a\u0641\u0627\u0639 \u0645\u062d\u0648\u0631 \u067e\u06cc\u0634\u200c\u0641\u0631\u0636 \u0631\u0627 \u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0645\u062d\u0648\u0631 \u062f\u0648\u0645\u060c \u0645\u0642\u062f\u0627\u0631 \u0633\u0645\u062a \u0686\u067e \u0631\u0648\u06cc 0.07\u060c \u0628\u0631\u0627\u06cc \u067e\u0627\u06cc\u06cc\u0646 \u0631\u0648\u06cc 0.55 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0639\u0631\u0636 \u0648 \u0627\u0631\u062a\u0641\u0627\u0639 \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 0.35 \u0648 0.3 \u0627\u0633\u062a.  \u0627\u06af\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f\u060c \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u0628\u0632\u0631\u06af \u0628\u0631\u0627\u06cc \u062a\u0627\u0628\u0639 \u0645\u06a9\u0639\u0628 \u0648 \u06cc\u06a9 \u06af\u0631\u0627\u0641 \u06a9\u0648\u0686\u06a9 \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0645\u0631\u0628\u0639 \u06a9\u0647 \u062f\u0631 \u062f\u0627\u062e\u0644 \u0646\u0645\u0648\u062f\u0627\u0631 \u0628\u0631\u0627\u06cc \u0645\u06a9\u0639\u0628 \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u062f\u060c \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u06cc\u062f.  \u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-5.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"subplots\"><span class=\"ez-toc-section\" id=\"%d8%b7%d8%b1%d8%ad_%d9%87%d8%a7%db%8c_%d9%81%d8%b1%d8%b9%db%8c\"><\/span>\u0637\u0631\u062d \u0647\u0627\u06cc \u0641\u0631\u0639\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0631\u0627\u0647 \u062f\u06cc\u06af\u0631 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0628\u06cc\u0634 \u0627\u0632 \u06cc\u06a9 \u0637\u0631\u062d \u062f\u0631 \u06cc\u06a9 \u0632\u0645\u0627\u0646\u060c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a <code>subplot<\/code> \u0631\u0648\u0634.  \u0634\u0645\u0627 \u0628\u0627\u06cc\u062f \u0645\u0642\u0627\u062f\u06cc\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc the \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u062f <code>nrow<\/code> \u0648 <code>ncols<\/code> \u0645\u0648\u0644\u0641\u0647 \u0647\u0627\u06cc.  \u062a\u0639\u062f\u0627\u062f \u06a9\u0644 \u0642\u0637\u0639\u0647 \u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f <code>nrow x ncols<\/code>.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0647 \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u0633\u0627\u062f\u0647 \u0646\u06af\u0627\u0647\u06cc \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nz = x ** <span class=\"hljs-number\">2<\/span>\n\nfig, axes = plt.subplots(nrows=<span class=\"hljs-number\">2<\/span>, ncols=<span class=\"hljs-number\">3<\/span>)\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc 6 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0631 2 \u0633\u0637\u0631 \u0648 3 \u0633\u062a\u0648\u0646 \u0645\u0627\u0646\u0646\u062f \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0645\u0634\u0627\u0647\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f:<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-6.png\" alt=\"\" title=\"\"><\/p>\n<p>\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u060c \u0627\u0632 \u06cc\u06a9 \u062d\u0644\u0642\u0647 \u0628\u0631\u0627\u06cc \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u062e\u0631\u0648\u062c\u06cc \u062a\u0627\u0628\u0639 \u0645\u0631\u0628\u0639 \u0628\u0647 \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u0627\u06cc\u0646 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\nz = x ** <span class=\"hljs-number\">2<\/span>\n\nfigure, axes = plt.subplots(nrows=<span class=\"hljs-number\">2<\/span>, ncols=<span class=\"hljs-number\">3<\/span>)\n\n<span class=\"hljs-keyword\">for<\/span> rows <span class=\"hljs-keyword\">in<\/span> axes:\n    <span class=\"hljs-keyword\">for<\/span> ax1 <span class=\"hljs-keyword\">in<\/span> rows:\n        ax1.plot(x, z, <span class=\"hljs-string\">'b'<\/span>)\n        ax1.set_xlabel(<span class=\"hljs-string\">'X - axis'<\/span>)\n        ax1.set_ylabel(<span class=\"hljs-string\">'Y - axis'<\/span>)\n        ax1.set_title(<span class=\"hljs-string\">'Square Function'<\/span>)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627\u060c \u0631\u0648\u06cc \u0645\u062d\u0648\u0631\u0647\u0627\u06cc \u0628\u0631\u06af\u0631\u062f\u0627\u0646\u062f\u0647 \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 the \u062a\u06a9\u0631\u0627\u0631 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 <code>subplots<\/code> \u062a\u0627\u0628\u0639 \u0648 \u0646\u0645\u0627\u06cc\u0634 \u062e\u0631\u0648\u062c\u06cc \u062a\u0627\u0628\u0639 \u0645\u0631\u0628\u0639 \u0631\u0648\u06cc \u0647\u0631 \u0645\u062d\u0648\u0631  \u0628\u0647 \u06cc\u0627\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f\u060c \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u0645\u062d\u0648\u0631\u0647\u0627\u06cc\u06cc \u062f\u0631 2 \u0633\u0637\u0631 \u0648 \u0633\u0647 \u0633\u062a\u0648\u0646 \u062f\u0627\u0631\u06cc\u0645\u060c \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u062d\u0644\u0642\u0647 \u062a\u0648\u062f\u0631\u062a\u0648 \u0628\u0631\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631 \u062f\u0631 \u062a\u0645\u0627\u0645 \u0645\u062d\u0648\u0631\u0647\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u0645.  \u062d\u0644\u0642\u0647 for \u062e\u0627\u0631\u062c\u06cc \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0645\u062d\u0648\u0631\u0647\u0627 \u062f\u0631 \u0631\u062f\u06cc\u0641 \u0647\u0627 \u062a\u06a9\u0631\u0627\u0631 \u0645\u06cc \u0634\u0648\u062f \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u062d\u0644\u0642\u0647 for \u062f\u0627\u062e\u0644\u06cc \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0645\u062d\u0648\u0631 \u062f\u0631 \u0633\u062a\u0648\u0646 \u0647\u0627 \u062a\u06a9\u0631\u0627\u0631 \u0645\u06cc \u0634\u0648\u062f.  \u062e\u0631\u0648\u062c\u06cc \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-7.png\" alt=\"\" title=\"\"><\/p>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0647\u0631 \u0634\u0634 \u0646\u0645\u0648\u062f\u0627\u0631 \u0631\u0627 \u0628\u0627 \u062a\u0648\u0627\u0628\u0639 \u0645\u0631\u0628\u0639 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 id=\"changingfiguresizeforaplot\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%ba%db%8c%db%8c%d8%b1_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%d9%87_%d8%b4%da%a9%d9%84_%d8%a8%d8%b1%d8%a7%db%8c_%db%8c%da%a9_%d9%be%d9%84%d8%a7%d8%aa\"><\/span>\u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u0634\u06a9\u0644 \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u067e\u0644\u0627\u062a<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0646\u0645\u0648\u062f\u0627\u0631\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0646\u062f\u0627\u0632\u0647 \u0634\u06a9\u0644 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u062e\u0627\u0635 \u0646\u06cc\u0632 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0628\u0631\u0627\u06cc the \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u062f <code>figsize<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u0632 <code>subplots<\/code> \u062a\u0627\u0628\u0639.  \u0627\u0631\u0632\u0634 \u0628\u0631\u0627\u06cc <code>figsize<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0634\u06a9\u0644 \u06cc\u06a9 \u062a\u0627\u067e\u0644\u06cc \u0627\u0631\u0633\u0627\u0644 \u0634\u0648\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0645\u0642\u062f\u0627\u0631 \u0627\u0648\u0644 \u0628\u0627 \u0639\u0631\u0636 \u0648 \u0645\u0642\u062f\u0627\u0631 \u062f\u0648\u0645 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0627\u0631\u062a\u0641\u0627\u0639 \u0646\u0645\u0648\u062f\u0627\u0631 \u0628\u0627\u0634\u062f.  \u0628\u0647 \u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0631\u0648\u0634 \u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u062e\u0627\u0635 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nz = x ** <span class=\"hljs-number\">2<\/span>\n\nfigure, axes = plt.subplots(figsize = (<span class=\"hljs-number\">6<\/span>,<span class=\"hljs-number\">8<\/span>))\n\naxes.plot(x, z, <span class=\"hljs-string\">'r'<\/span>)\naxes.set_xlabel(<span class=\"hljs-string\">'X-Axis'<\/span>)\naxes.set_ylabel(<span class=\"hljs-string\">'Y-Axis'<\/span>)\naxes.set_title(<span class=\"hljs-string\">'Square Function'<\/span>)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u0628\u0631\u0627\u06cc \u062a\u0627\u0628\u0639 \u0645\u0631\u0628\u0639 \u0631\u0633\u0645 \u06a9\u0646\u06cc\u062f \u06a9\u0647 6 \u0627\u06cc\u0646\u0686 \u0639\u0631\u0636 \u0648 8 \u0627\u06cc\u0646\u0686 \u0627\u0631\u062a\u0641\u0627\u0639 \u062f\u0627\u0631\u062f.  \u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-8.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"addinglegends\"><span class=\"ez-toc-section\" id=\"%d8%a7%d9%81%d8%b2%d9%88%d8%af%d9%86_%d8%a7%d9%81%d8%b3%d8%a7%d9%86%d9%87_%d9%87%d8%a7\"><\/span>\u0627\u0641\u0632\u0648\u062f\u0646 \u0627\u0641\u0633\u0627\u0646\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0641\u0632\u0648\u062f\u0646 \u0627\u0641\u0633\u0627\u0646\u0647 \u0647\u0627 \u0628\u0647 \u06cc\u06a9 \u0637\u0631\u062d \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Matplotlib \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0627\u0633\u062a.  \u062a\u0646\u0647\u0627 \u06a9\u0627\u0631\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0646 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u062f <code>label<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u0632 <code>plot<\/code> \u062a\u0627\u0628\u0639.  \u0633\u067e\u0633 \u067e\u0633 \u0627\u0632 \u062a\u0645\u0627\u0633 \u0628\u0627 <code>plot<\/code> \u062a\u0627\u0628\u0639\u060c \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u0628\u0627 \u0622\u0646 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f <code>legend<\/code> \u062a\u0627\u0628\u0639.  \u0628\u0647 \u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nz = x ** <span class=\"hljs-number\">2<\/span>\n\nfigure = plt.figure()\n\naxes = figure.add_axes((<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">1<\/span>))\n\naxes.plot(x, z, label=<span class=\"hljs-string\">\"Square Function\"<\/span>)\naxes.plot(x, y, label=<span class=\"hljs-string\">\"Cube Function\"<\/span>)\naxes.legend()\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u062f\u0648 \u062a\u0627\u0628\u0639 \u0645\u0631\u0628\u0639 \u0648 \u0645\u06a9\u0639\u0628 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc x\u060c y \u0648 z \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0633\u067e\u0633 \u0627\u0628\u062a\u062f\u0627 \u062a\u0627\u0628\u0639 \u0645\u0631\u0628\u0639 \u0631\u0627 \u0631\u0633\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0628\u0631\u0627\u06cc <code>label<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u060c \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u067e\u0627\u0633 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>Square Function<\/code>.  \u0627\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631\u06cc \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f \u06a9\u0647 \u062f\u0631 \u0628\u0631\u0686\u0633\u0628 \u0628\u0631\u0627\u06cc \u062a\u0627\u0628\u0639 \u0645\u0631\u0628\u0639 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0628\u0639\u062f \u062a\u0627\u0628\u0639 \u0645\u06a9\u0639\u0628 \u0631\u0627 \u0631\u0633\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u067e\u0627\u0633 \u0645\u06cc \u062f\u0647\u06cc\u0645 <code>Cube Function<\/code> \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0631\u0632\u0634 \u0628\u0631\u0627\u06cc <code>label<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631.  \u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-9.png\" alt=\"\" title=\"\"><\/p>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u06cc\u06a9 \u0627\u0641\u0633\u0627\u0646\u0647 \u0631\u0627 \u062f\u0631 \u06af\u0648\u0634\u0647 \u0628\u0627\u0644\u0627 \u0633\u0645\u062a \u0686\u067e \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0645\u0648\u0642\u0639\u06cc\u062a \u0627\u0641\u0633\u0627\u0646\u0647 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0627\u0631\u0633\u0627\u0644 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0628\u0631\u0627\u06cc \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0627\u062f <code>loc<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u0632 <code>legend<\/code> \u062a\u0627\u0628\u0639.  \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0645\u06a9\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f 1 (\u0628\u0631\u0627\u06cc \u06af\u0648\u0634\u0647 \u0633\u0645\u062a \u0631\u0627\u0633\u062a \u0628\u0627\u0644\u0627)\u060c 2 (\u0628\u0631\u0627\u06cc \u06af\u0648\u0634\u0647 \u0633\u0645\u062a \u0686\u067e \u0628\u0627\u0644\u0627)\u060c 3 (\u0628\u0631\u0627\u06cc \u06af\u0648\u0634\u0647 \u067e\u0627\u06cc\u06cc\u0646 \u0633\u0645\u062a \u0686\u067e) \u0648 4 (\u0628\u0631\u0627\u06cc \u06af\u0648\u0634\u0647 \u067e\u0627\u06cc\u06cc\u0646 \u0633\u0645\u062a \u0631\u0627\u0633\u062a) \u0628\u0627\u0634\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0627\u0641\u0633\u0627\u0646\u0647 \u062f\u0631 \u06af\u0648\u0634\u0647 \u0633\u0645\u062a \u0631\u0627\u0633\u062a \u067e\u0627\u06cc\u06cc\u0646 \u0637\u0631\u062d \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nz = x ** <span class=\"hljs-number\">2<\/span>\n\nfigure = plt.figure()\n\naxes = figure.add_axes((<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">1<\/span>))\n\naxes.plot(x, z, label=<span class=\"hljs-string\">\"Square Function\"<\/span>)\naxes.plot(x, y, label=<span class=\"hljs-string\">\"Cube Function\"<\/span>)\naxes.legend(loc=<span class=\"hljs-number\">4<\/span>)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-10.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"coloroptions\"><span class=\"ez-toc-section\" id=\"%da%af%d8%b2%db%8c%d9%86%d9%87_%d9%87%d8%a7%db%8c_%d8%b1%d9%86%da%af\"><\/span>\u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0631\u0646\u06af<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0628\u0631\u0627\u06cc \u062a\u063a\u06cc\u06cc\u0631 \u0631\u0646\u06af \u0648 \u0633\u0628\u06a9 \u0637\u0631\u062d \u0647\u0627 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.  \u0633\u0627\u062f\u0647 \u062a\u0631\u06cc\u0646 \u0631\u0627\u0647 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u062d\u0631\u0641 \u0627\u0648\u0644 \u0631\u0646\u06af \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0633\u0648\u0645 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u062f\u060c \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nz = x ** <span class=\"hljs-number\">2<\/span>\n\nfigure = plt.figure()\n\naxes = figure.add_axes((<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">1<\/span>))\n\naxes.plot(x, z, <span class=\"hljs-string\">\"r\"<\/span> ,label=<span class=\"hljs-string\">\"Square Function\"<\/span>)\naxes.plot(x, y, <span class=\"hljs-string\">\"g\"<\/span>, label=<span class=\"hljs-string\">\"Cube Function\"<\/span>)\naxes.legend(loc=<span class=\"hljs-number\">4<\/span>)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627\u060c \u06cc\u06a9 \u0631\u0634\u062a\u0647 &#8220;r&#8221; \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0633\u0648\u0645 \u0628\u0631\u0627\u06cc \u0637\u0631\u062d \u0627\u0648\u0644 \u0627\u0631\u0633\u0627\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0628\u0631\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0648\u0645\u060c \u0631\u0634\u062a\u0647 &#8220;g&#8221; \u062f\u0631 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0633\u0648\u0645 \u0627\u0631\u0633\u0627\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u062f\u0631 \u062e\u0631\u0648\u062c\u06cc\u060c \u0637\u0631\u062d \u0627\u0648\u0644 \u0628\u0627 \u06cc\u06a9 \u062e\u0637 \u0642\u0631\u0645\u0632 \u0642\u0631\u0645\u0632 \u0686\u0627\u067e \u0645\u06cc \u0634\u0648\u062f\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0648\u0645 \u0628\u0627 \u06cc\u06a9 \u062e\u0637 \u062c\u0627\u0645\u062f \u0633\u0628\u0632 \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0686\u0627\u067e \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-11.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0631\u0627\u0647 \u062f\u06cc\u06af\u0631 \u0628\u0631\u0627\u06cc \u062a\u063a\u06cc\u06cc\u0631 \u0631\u0646\u06af \u0637\u0631\u062d \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a <code>color<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631.  \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u0627\u0645 \u0631\u0646\u06af \u06cc\u0627 \u0645\u0642\u062f\u0627\u0631 \u0647\u06af\u0632\u0627\u062f\u0633\u06cc\u0645\u0627\u0644 \u0631\u0646\u06af \u0631\u0627 \u0628\u0647 \u0622\u0646 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u062f <code>color<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631.  \u0628\u0647 \u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nz = x ** <span class=\"hljs-number\">2<\/span>\n\nfigure = plt.figure()\n\naxes = figure.add_axes((<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">1<\/span>))\n\naxes.plot(x, z, color = <span class=\"hljs-string\">\"purple\"<\/span> ,label=<span class=\"hljs-string\">\"Square Function\"<\/span>)\naxes.plot(x, y, color = <span class=\"hljs-string\">\"#FF0000\"<\/span>, label=<span class=\"hljs-string\">\"Cube Function\"<\/span>)\naxes.legend(loc=<span class=\"hljs-number\">4<\/span>)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-12.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"stackplot\"><span class=\"ez-toc-section\" id=\"%d9%be%d9%84%d8%a7%d8%aa_%d9%be%d8%b4%d8%aa%d9%87\"><\/span>\u067e\u0644\u0627\u062a \u067e\u0634\u062a\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631 \u067e\u0634\u062a\u0647 \u0627\u06cc \u062a\u0648\u0633\u0639\u0647 \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u06cc\u0644\u0647 \u0627\u06cc \u06cc\u0627 \u0646\u0645\u0648\u062f\u0627\u0631 \u062e\u0637\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u062f\u0633\u062a\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062a\u062c\u0632\u06cc\u0647 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631 \u06a9\u0646\u0627\u0631 \u0647\u0645 \u0642\u0631\u0627\u0631 \u0645\u06cc \u062f\u0647\u062f \u062a\u0627 \u0628\u062a\u0648\u0627\u0646 \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u0628\u06cc\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0633\u062a\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u0642\u0627\u06cc\u0633\u0647 \u06a9\u0631\u062f.<\/p>\n<p>\u0641\u0631\u0636 \u06a9\u0646\u06cc\u062f \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0644\u200c\u0647\u0627\u06cc \u0633\u0647 \u0628\u0627\u0632\u06cc\u06a9\u0646 \u0645\u062e\u062a\u0644\u0641 \u0641\u0648\u062a\u0628\u0627\u0644 \u062f\u0631 \u0633\u0627\u0644 \u0631\u0627 \u062f\u0631 \u0637\u0648\u0644 8 \u0633\u0627\u0644 \u06af\u0630\u0634\u062a\u0647 \u0645\u0642\u0627\u06cc\u0633\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Matplot \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u067e\u0634\u062a\u0647 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n\nyear = (<span class=\"hljs-number\">2011<\/span>, <span class=\"hljs-number\">2012<\/span>, <span class=\"hljs-number\">2013<\/span>, <span class=\"hljs-number\">2014<\/span>, <span class=\"hljs-number\">2015<\/span>, <span class=\"hljs-number\">2016<\/span>, <span class=\"hljs-number\">2017<\/span>, <span class=\"hljs-number\">2018<\/span>)\n\nplayer1 = (<span class=\"hljs-number\">8<\/span>,<span class=\"hljs-number\">10<\/span>,<span class=\"hljs-number\">17<\/span>,<span class=\"hljs-number\">15<\/span>,<span class=\"hljs-number\">23<\/span>,<span class=\"hljs-number\">18<\/span>,<span class=\"hljs-number\">24<\/span>,<span class=\"hljs-number\">29<\/span>)\nplayer2 = (<span class=\"hljs-number\">10<\/span>,<span class=\"hljs-number\">14<\/span>,<span class=\"hljs-number\">19<\/span>,<span class=\"hljs-number\">16<\/span>,<span class=\"hljs-number\">25<\/span>,<span class=\"hljs-number\">20<\/span>,<span class=\"hljs-number\">26<\/span>,<span class=\"hljs-number\">32<\/span>)\nplayer3 = (<span class=\"hljs-number\">12<\/span>,<span class=\"hljs-number\">17<\/span>,<span class=\"hljs-number\">21<\/span>,<span class=\"hljs-number\">19<\/span>,<span class=\"hljs-number\">26<\/span>,<span class=\"hljs-number\">22<\/span>,<span class=\"hljs-number\">28<\/span>,<span class=\"hljs-number\">35<\/span>)\n\nplt.plot((),(), color=<span class=\"hljs-string\">'y'<\/span>, label = <span class=\"hljs-string\">'player1'<\/span>)\nplt.plot((),(), color=<span class=\"hljs-string\">'r'<\/span>, label = <span class=\"hljs-string\">'player2'<\/span>)\nplt.plot((),(), color=<span class=\"hljs-string\">'b'<\/span>, label = <span class=\"hljs-string\">'player3 '<\/span>)\n\nplt.stackplot(year, player1, player2, player3, colors = (<span class=\"hljs-string\">'y'<\/span>,<span class=\"hljs-string\">'r'<\/span>,<span class=\"hljs-string\">'b'<\/span>))\nplt.legend()\nplt.title(<span class=\"hljs-string\">'Goals by three players'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'year'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Goals'<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-13.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u067e\u0634\u062a\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646\u060c \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f <code>stackplot<\/code> \u06a9\u0644\u0627\u0633 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Matplotlib.  \u0645\u0642\u0627\u062f\u06cc\u0631\u06cc \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0646\u0645\u0627\u06cc\u0634 \u062f\u0647\u06cc\u062f \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0648\u0644\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u0647 \u06a9\u0644\u0627\u0633 \u0648 \u0645\u0642\u0627\u062f\u06cc\u0631\u06cc \u06a9\u0647 \u0642\u0631\u0627\u0631 \u0627\u0633\u062a \u0627\u0646\u0628\u0627\u0634\u062a\u0647 \u0634\u0648\u0646\u062f \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc \u0634\u0648\u062f \u0631\u0648\u06cc \u0645\u062d\u0648\u0631 \u0627\u0641\u0642\u06cc \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u062f\u0648\u0645\u060c \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0633\u0648\u0645 \u0648 \u063a\u06cc\u0631\u0647 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u0631\u0648\u06cc.  \u0634\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0631\u0646\u06af \u0631\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0633\u062a\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>colors<\/code> \u0635\u0641\u062a.<\/p>\n<h2 id=\"piechart\"><span class=\"ez-toc-section\" id=\"%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1_%d8%af%d8%a7%db%8c%d8%b1%d9%87_%d8%a7%db%8c\"><\/span>\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0627\u06cc\u0631\u0647 \u0627\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0646\u0648\u0639 \u067e\u0627\u06cc \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0627\u06cc\u0631\u0647\u200c\u0627\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u062f\u0633\u062a\u0647\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0628\u062e\u0634\u06cc \u0627\u0632 \u062f\u0627\u06cc\u0631\u0647 \u0645\u0634\u062e\u0635 \u0634\u062f\u0647\u200c\u0627\u0646\u062f.  \u0647\u0631 \u0686\u0647 \u0633\u0647\u0645 \u062f\u0633\u062a\u0647 \u0628\u0632\u0631\u06af\u062a\u0631 \u0628\u0627\u0634\u062f\u060c \u0633\u0647\u0645 \u0628\u06cc\u0634\u062a\u0631\u06cc \u0631\u0627 \u0627\u0634\u063a\u0627\u0644 \u062e\u0648\u0627\u0647\u062f \u06a9\u0631\u062f \u0631\u0648\u06cc \u0646\u0645\u0648\u062f\u0627\u0631.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0627\u06cc\u0631\u0647 \u0627\u06cc \u0633\u0627\u062f\u0647 \u0627\u0632 \u06af\u0644 \u0647\u0627\u06cc \u06cc\u06a9 \u062a\u06cc\u0645 \u0641\u0648\u062a\u0628\u0627\u0644 \u0627\u0632 \u0636\u0631\u0628\u0627\u062a \u0622\u0632\u0627\u062f\u060c \u067e\u0646\u0627\u0644\u062a\u06cc \u0648 \u06af\u0644 \u0647\u0627\u06cc \u0632\u0645\u06cc\u0646\u06cc \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n\ngoal_types = <span class=\"hljs-string\">'Penalties'<\/span>, <span class=\"hljs-string\">'Field Goals'<\/span>, <span class=\"hljs-string\">'Free Kicks'<\/span>\n\ngoals = (<span class=\"hljs-number\">12<\/span>,<span class=\"hljs-number\">38<\/span>,<span class=\"hljs-number\">7<\/span>)\ncolors = (<span class=\"hljs-string\">'y'<\/span>,<span class=\"hljs-string\">'r'<\/span>,<span class=\"hljs-string\">'b'<\/span>)\n\nplt.pie(goals, labels = goal_types, colors=colors ,shadow = <span class=\"hljs-literal\">True<\/span>, explode = (<span class=\"hljs-number\">0.05<\/span>, <span class=\"hljs-number\">0.05<\/span>, <span class=\"hljs-number\">0.05<\/span>), autopct = <span class=\"hljs-string\">'%1.1f%%'<\/span>)\nplt.axis(<span class=\"hljs-string\">'equal'<\/span>)\n\nplt.show()\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/data-visualization-python-matplotlib-library-14.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0627\u06cc\u0631\u0647 \u0627\u06cc \u062f\u0631 Matplot lib\u060c <code>pie<\/code> \u06a9\u0644\u0627\u0633 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0627\u0648\u0644\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0633\u0627\u0632\u0646\u062f\u0647 \u06a9\u0644\u0627\u0633\u060c \u0644\u06cc\u0633\u062a \u0627\u0639\u062f\u0627\u062f \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0633\u062a\u0647 \u0627\u0633\u062a.  \u0641\u0647\u0631\u0633\u062a \u062f\u0633\u062a\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u0647\u0627\u06cc \u062c\u062f\u0627 \u0634\u062f\u0647 \u0628\u0627 \u06a9\u0627\u0645\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc\u200c\u0634\u0648\u062f <code>labels<\/code> \u0635\u0641\u062a.  \u0644\u06cc\u0633\u062a \u0631\u0646\u06af \u0647\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0633\u062a\u0647 \u0628\u0647 \u062f\u0633\u062a\u0647 \u0645\u0646\u062a\u0642\u0644 \u0645\u06cc \u0634\u0648\u062f <code>colors<\/code> \u0635\u0641\u062a.  \u0627\u06af\u0631 \u0631\u0648\u06cc true \u062a\u0646\u0638\u06cc\u0645 \u0634\u0648\u062f\u060c <code>shadow<\/code> \u0648\u06cc\u0698\u06af\u06cc \u0633\u0627\u06cc\u0647 \u0647\u0627\u06cc\u06cc \u0631\u0627 \u062f\u0631 \u0627\u0637\u0631\u0627\u0641 \u062f\u0633\u062a\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0627\u06cc\u0631\u0647 \u0627\u06cc  \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c <code>explode<\/code> \u0648\u06cc\u0698\u06af\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0627\u06cc\u0631\u0647 \u0627\u06cc \u0631\u0627 \u0628\u0647 \u0628\u062e\u0634 \u0647\u0627\u06cc \u062c\u062f\u0627\u06af\u0627\u0646\u0647 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0630\u06a9\u0631 \u0627\u06cc\u0646 \u0646\u06a9\u062a\u0647 \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0634\u0645\u0627 \u0645\u062c\u0628\u0648\u0631 \u0646\u06cc\u0633\u062a\u06cc\u062f \u062f\u0631\u0635\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0633\u062a\u0647 \u0628\u06af\u0630\u0631\u0627\u0646\u06cc\u062f.  \u0628\u0644\u06a9\u0647 \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u0645\u0642\u0627\u062f\u06cc\u0631 \u0631\u0627 \u067e\u0627\u0633 \u06a9\u0646\u06cc\u062f \u0648 \u062f\u0631\u0635\u062f \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u062f\u0627\u06cc\u0631\u0647 \u0627\u06cc \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<h2 id=\"savingagraph\"><span class=\"ez-toc-section\" id=\"%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%db%8c%da%a9_%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1\"><\/span>\u0630\u062e\u06cc\u0631\u0647 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0630\u062e\u06cc\u0631\u0647 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0631 Matplotlib \u0628\u0633\u06cc\u0627\u0631 \u0622\u0633\u0627\u0646 \u0627\u0633\u062a.  \u062a\u0646\u0647\u0627 \u06a9\u0627\u0631\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627 \u0627\u06cc\u0646 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f <code>savefig<\/code> \u0631\u0648\u0634 \u0627\u0632 <code>figure<\/code> \u0634\u06cc\u0621 \u06a9\u0646\u06cc\u062f \u0648 \u0645\u0633\u06cc\u0631 \u0641\u0627\u06cc\u0644\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0646\u0645\u0648\u062f\u0627\u0631 \u0634\u0645\u0627 \u0628\u0627 \u0622\u0646 \u0630\u062e\u06cc\u0631\u0647 \u0634\u0648\u062f\u060c \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u062f.  \u0628\u0647 \u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\nx = np.linspace(-<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">20<\/span>)\n\ny = x ** <span class=\"hljs-number\">3<\/span>\n\nz = x ** <span class=\"hljs-number\">2<\/span>\n\nfigure, axes = plt.subplots(figsize = (<span class=\"hljs-number\">6<\/span>,<span class=\"hljs-number\">8<\/span>))\n\naxes.plot(x, z, <span class=\"hljs-string\">'r'<\/span>)\naxes.set_xlabel(<span class=\"hljs-string\">'X-Axis'<\/span>)\naxes.set_ylabel(<span class=\"hljs-string\">'Y-Axis'<\/span>)\naxes.set_title(<span class=\"hljs-string\">'Square Function'<\/span>)\n\nfigure.savefig(<span class=\"hljs-string\">r'E:\/fig1.jpg'<\/span>)\n<\/code><\/pre>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0641\u0627\u06cc\u0644 \u0634\u0645\u0627 \u0631\u0627 \u0628\u0627 \u0646\u0627\u0645 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u062f <code>fig1.jpg<\/code> \u062f\u0631 root \u0627\u0632 <code>E<\/code> \u0641\u0647\u0631\u0633\u062a \u0631\u0627\u0647\u0646\u0645\u0627.<\/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 \u06a9\u062a\u0627\u0628 \u0645\u0627 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f \u0631\u0648\u06cc <a class=\"ebook-link\" href=\"https:\/\/gumroad.com\/l\/data-visualization-in-python\" 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>\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646<\/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 \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.<\/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>Matplotlib \u06cc\u06a9\u06cc \u0627\u0632 \u0631\u0627\u06cc\u062c \u062a\u0631\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0648 \u062a\u0631\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0631\u062e\u06cc \u0627\u0632 \u067e\u0631\u06a9\u0627\u0631\u0628\u0631\u062f\u062a\u0631\u06cc\u0646 \u062a\u0648\u0627\u0628\u0639 Matplotlib \u0631\u0627 \u0628\u0627 \u06a9\u0645\u06a9 \u0645\u062b\u0627\u0644\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc\u200c\u062f\u0647\u062f.  \u0627\u06af\u0631\u0686\u0647 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u06cc\u0634\u062a\u0631 \u0645\u0648\u0627\u0631\u062f \u0627\u0633\u0627\u0633\u06cc \u0631\u0627 \u067e\u0648\u0634\u0634 \u0645\u06cc \u062f\u0647\u062f\u060c \u0627\u0645\u0627 \u0627\u06cc\u0646 \u0641\u0642\u0637 \u0646\u0648\u06a9 \u06a9\u0648\u0647 \u06cc\u062e \u0627\u0633\u062a.  \u0645\u0646 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc \u06a9\u0646\u0645 \u06a9\u0647 \u0627\u0633\u0646\u0627\u062f \u0631\u0633\u0645\u06cc \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/matplotlib.org\/\">\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Matplotlib<\/a> \u0648 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0686\u0647 \u06a9\u0627\u0631\u0647\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0634\u06af\u0641\u062a \u0627\u0646\u06af\u06cc\u0632 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f.<\/p>\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 1403-01-26 01:10:04<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;16502&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;\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 Matplotlib&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\"> 10<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u062a\u062c\u0633\u0645 \u0631\u0648\u0646\u062f\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0647\u0645\u062a\u0631\u06cc\u0646 \u0648\u0638\u0627\u06cc\u0641 \u062f\u0631 \u0639\u0644\u0645 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[&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[2414,1749,1754,1779,1753,1744,2421,1796,1755,1752,1745,1785],"class_list":["post-16502","post","type-post","status-publish","format-standard","hentry","category-python","category-programming","tag-matplotlib","tag-python","tag-1754","tag-1779","tag-1753","tag-1744","tag-2421","tag-1796","tag-1755","tag-1752","tag-1745","tag-1785"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16502","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=16502"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16502\/revisions"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16502"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16502"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16502"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}