{"id":18217,"date":"2024-10-08T18:45:07","date_gmt":"2024-10-08T15:15:07","guid":{"rendered":"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/"},"modified":"2024-10-08T18:45:07","modified_gmt":"2024-10-08T15:15:07","slug":"%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/","title":{"rendered":"\u0686\u06af\u0648\u0646\u0647 \u0628\u0627 Matplotlib \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645 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href=\"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/#%d8%b1%d9%88%d8%b4_%d8%a8%d9%87%db%8c%d9%86%d9%87_%d8%b3%d8%a7%d8%b2%db%8c_%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1%d9%87%d8%a7_%d8%a8%d8%b1%d8%a7%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%db%8c_%d8%a8%d8%b2%d8%b1%da%af\" >\u0631\u0648\u0634 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/#%d8%aa%da%a9%d9%86%db%8c%da%a9_%d9%87%d8%a7%db%8c_%d8%b1%d8%b3%d9%85_%da%a9%d8%a7%d8%b1%d8%a2%d9%85%d8%af_%d8%a8%d8%b1%d8%a7%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%db%8c_%d8%a8%d8%b2%d8%b1%da%af\" >\u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0631\u0633\u0645 \u06a9\u0627\u0631\u0622\u0645\u062f \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/#%d8%aa%d8%ac%d8%b3%d9%85_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d8%a2%d9%85%d8%a7%d8%b1%db%8c\" >\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/#%d8%aa%d9%84%d9%87%e2%80%8c%d9%87%d8%a7%db%8c_%d9%85%d8%aa%d8%af%d8%a7%d9%88%d9%84_%d8%aa%d8%ac%d8%b3%d9%85_%d9%88_%d8%b1%d9%88%d8%b4_%d8%a7%d8%ac%d8%aa%d9%86%d8%a7%d8%a8_%d8%a7%d8%b2_%d8%a2%d9%86%d9%87%d8%a7\" >\u062a\u0644\u0647\u200c\u0647\u0627\u06cc \u0645\u062a\u062f\u0627\u0648\u0644 \u062a\u062c\u0633\u0645 \u0648 \u0631\u0648\u0634 \u0627\u062c\u062a\u0646\u0627\u0628 \u0627\u0632 \u0622\u0646\u0647\u0627<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/#%d8%a8%db%8c%d8%b4_%d8%a7%d8%b2_%d8%ad%d8%af_%d8%aa%d9%88%d8%b7%d8%a6%d9%87\" >\u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u062a\u0648\u0637\u0626\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/#%d8%aa%d8%b1%d8%a7%d8%b2%d9%88%d9%87%d8%a7_%d9%88_%d9%85%d8%ad%d9%88%d8%b1%d9%87%d8%a7%db%8c_%da%af%d9%85%d8%b1%d8%a7%d9%87_%da%a9%d9%86%d9%86%d8%af%d9%87\" >\u062a\u0631\u0627\u0632\u0648\u0647\u0627 \u0648 \u0645\u062d\u0648\u0631\u0647\u0627\u06cc \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/#%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d9%86%d8%a7%d8%af%d8%b1%d8%b3%d8%aa_%d8%a7%d8%b2_%d8%b1%d9%86%da%af\" >\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u0627\u062f\u0631\u0633\u062a \u0627\u0632 \u0631\u0646\u06af<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/#%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%da%af%d9%85%d8%b1%d8%a7%d9%87_%da%a9%d9%86%d9%86%d8%af%d9%87_%d8%a7%d8%b2_%d9%86%d9%82%d8%b4%d9%87_%d9%87%d8%a7%db%8c_%d8%b3%d9%87_%d8%a8%d8%b9%d8%af%db%8c\" >\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647 \u0627\u0632 \u0646\u0642\u0634\u0647 \u0647\u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/#%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%da%af%d9%85%d8%b1%d8%a7%d9%87_%da%a9%d9%86%d9%86%d8%af%d9%87_%d8%a7%d8%b2_%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1%d9%87%d8%a7%db%8c_%d9%85%d9%86%d8%b7%d9%82%d9%87\" >\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647 \u0627\u0632 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u0646\u0637\u0642\u0647<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/rasanegaar.com\/blog\/%da%86%da%af%d9%88%d9%86%d9%87-%d8%a8%d8%a7-matplotlib-%d8%b4%d8%b1%d9%88%d8%b9-%da%a9%d9%86%db%8c%d9%85-%d8%a8%d8%a7-%d9%85%d8%ab%d8%a7%d9%84-%d9%87%d8%a7%db%8c-%da%a9%d8%af-%d9%88-%d8%aa%d8%ac\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87_%da%af%db%8c%d8%b1%db%8c\" >\u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc<\/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\"> 11<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<section class=\"post-content \" data-test-label=\"post-content\">\n<p>\u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0631\u0627\u062d\u0644 \u06a9\u0644\u06cc\u062f\u06cc \u062f\u0631 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u060c \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0627\u0633\u062a\u060c \u0632\u06cc\u0631\u0627 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u060c \u06af\u0631\u0627\u06cc\u0634\u200c\u0647\u0627 \u0648 \u0627\u0644\u06af\u0648\u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0631 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062e\u0627\u0645 \u0622\u0634\u06a9\u0627\u0631 \u0646\u0628\u0627\u0634\u0646\u062f\u060c \u0645\u062a\u0648\u062c\u0647 \u0634\u0648\u06cc\u062f. Matplotlib \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0648\u062b\u0631\u062a\u0631\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u0648 \u0627\u0645\u06a9\u0627\u0646 \u062a\u0631\u0633\u06cc\u0645 \u06af\u0631\u0627\u0641\u06cc\u06a9 \u0647\u0627\u06cc \u062b\u0627\u0628\u062a\u060c \u0645\u062a\u062d\u0631\u06a9 \u0648 \u062a\u0639\u0627\u0645\u0644\u06cc \u0631\u0627 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627 \u0642\u0627\u0628\u0644\u06cc\u062a \u0647\u0627\u06cc Matplotlib \u0631\u0627 \u0628\u0627 \u062a\u0645\u0631\u06a9\u0632 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u062d\u0644 \u0645\u0634\u06a9\u0644\u0627\u062a \u062e\u0627\u0635 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u0627\u0631\u0627\u0626\u0647 \u0645\u062b\u0627\u0644 \u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0628\u0631\u0627\u06cc \u0627\u0639\u0645\u0627\u0644 \u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0634\u0645\u0627.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0642\u0635\u062f \u062f\u0627\u0631\u06cc\u0645 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0622\u0646 \u0628\u067e\u0631\u062f\u0627\u0632\u06cc\u0645:<\/p>\n<ul>\n<li>\n<p>\u0627\u0647\u0645\u06cc\u062a \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627<\/p>\n<\/li>\n<li>\n<p>\u0645\u0631\u0648\u0631\u06cc \u06a9\u0648\u062a\u0627\u0647 \u0628\u0631 Matplotlib<\/p>\n<\/li>\n<li>\n<p>\u0634\u0631\u0648\u0639 \u06a9\u0627\u0631 \u0628\u0627 Matplotlib<\/p>\n<ul>\n<li>\n<p>\u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<\/p>\n<\/li>\n<li>\n<p>\u0686\u06af\u0648\u0646\u0647 \u0627\u0648\u0644\u06cc\u0646 \u0637\u0631\u062d \u062e\u0648\u062f \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u0645<\/p>\n<\/li>\n<li>\n<p>\u06a9\u0627\u0648\u0634 \u062f\u0631 \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641 \u0642\u0637\u0639\u0647 \u0647\u0627<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u0633\u0641\u0627\u0631\u0634\u06cc \u0633\u0627\u0632\u06cc \u0637\u0631\u062d \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<\/p>\n<ul>\n<li>\n<p>\u0631\u0648\u0634 \u06a9\u0627\u0631 \u0628\u0627 \u067e\u0644\u0627\u062a \u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f<\/p>\n<\/li>\n<li>\n<p>\u0686\u06af\u0648\u0646\u0647 \u0632\u06cc\u0628\u0627\u06cc\u06cc \u0634\u0646\u0627\u0633\u06cc \u0637\u0631\u062d \u0631\u0627 \u062a\u0642\u0648\u06cc\u062a \u06a9\u0646\u06cc\u0645<\/p>\n<\/li>\n<li>\n<p>\u0631\u0648\u0634 \u0630\u062e\u06cc\u0631\u0647 \u0648 \u0635\u0627\u062f\u0631\u0627\u062a \u0642\u0637\u0639\u0647 \u0647\u0627<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u062a\u0648\u0637\u0626\u0647 \u0648 \u0627\u0646\u06cc\u0645\u06cc\u0634\u0646 \u062a\u0639\u0627\u0645\u0644\u06cc<\/p>\n<ul>\n<li>\n<p>\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u0639\u0627\u0645\u0644\u06cc \u062f\u0631 Matplotlib<\/p>\n<\/li>\n<li>\n<p>\u0631\u0648\u0634 \u0627\u06cc\u062c\u0627\u062f \u0627\u0646\u06cc\u0645\u06cc\u0634\u0646<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u0631\u0648\u0634 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af<\/p>\n<ul>\n<li>\n<p>\u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0631\u0633\u0645 \u06a9\u0627\u0631\u0622\u0645\u062f \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af<\/p>\n<\/li>\n<li>\n<p>\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u062a\u0644\u0647\u200c\u0647\u0627\u06cc \u0645\u062a\u062f\u0627\u0648\u0644 \u062a\u062c\u0633\u0645 \u0648 \u0631\u0648\u0634 \u0627\u062c\u062a\u0646\u0627\u0628 \u0627\u0632 \u0622\u0646\u0647\u0627<\/p>\n<ul>\n<li>\n<p>\u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u062a\u0648\u0637\u0626\u0647<\/p>\n<\/li>\n<li>\n<p>\u062a\u0631\u0627\u0632\u0648\u0647\u0627 \u0648 \u0645\u062d\u0648\u0631\u0647\u0627\u06cc \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647<\/p>\n<\/li>\n<li>\n<p>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u0627\u062f\u0631\u0633\u062a \u0627\u0632 \u0631\u0646\u06af<\/p>\n<\/li>\n<li>\n<p>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647 \u0627\u0632 \u0646\u0642\u0634\u0647 \u0647\u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc<\/p>\n<\/li>\n<li>\n<p>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647 \u0627\u0632 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u0646\u0637\u0642\u0647<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc<\/p>\n<\/li>\n<\/ul>\n<h2 id=\"heading-importance-of-data-visualization-in-data-analysis\"><span class=\"ez-toc-section\" id=\"%d8%a7%d9%87%d9%85%db%8c%d8%aa_%d8%aa%d8%ac%d8%b3%d9%85_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7_%d8%af%d8%b1_%d8%aa%d8%ac%d8%b2%db%8c%d9%87_%d9%88_%d8%aa%d8%ad%d9%84%db%8c%d9%84_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\"><\/span>\u0627\u0647\u0645\u06cc\u062a \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0627 \u0641\u0631\u0636 \u0627\u06cc\u0646\u06a9\u0647 \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0641\u0631\u0648\u0634 \u06cc\u06a9 \u0632\u0646\u062c\u06cc\u0631\u0647 \u0628\u0632\u0631\u06af \u0627\u0632 \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0647\u0627 \u0633\u0631 \u0648 \u06a9\u0627\u0631 \u062f\u0627\u0631\u06cc\u062f. \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062e\u0627\u0645 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0634\u0627\u0645\u0644 \u0635\u062f\u0647\u0627 \u06cc\u0627 \u0647\u0632\u0627\u0631\u0627\u0646 \u0631\u062f\u06cc\u0641\u060c \u0628\u0627 \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u0627\u062d\u062a\u0645\u0627\u0644\u06cc \u0645\u0627\u0646\u0646\u062f \u062f\u0633\u062a\u0647\u200c\u0647\u0627\u06cc \u0645\u062d\u0635\u0648\u0644\u060c \u0645\u0646\u0627\u0637\u0642 \u0641\u0631\u0648\u0634 \u0648 \u062f\u0631\u0622\u0645\u062f\u0647\u0627\u06cc \u0645\u0627\u0647\u0627\u0646\u0647 \u0628\u0627\u0634\u062f. \u0627\u06cc\u0646 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0645\u0641\u06cc\u062f \u0648 \u0631\u0648\u06cc\u06a9\u0631\u062f\u0647\u0627\u06cc \u062a\u062d\u0644\u06cc\u0644\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062e\u0627\u0645\u060c \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0634\u06cc\u0648\u0647\u200c\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f \u06a9\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u0647\u0631 \u06a9\u0633\u06cc \u0628\u06cc\u06af\u0627\u0646\u0647 \u0628\u0627\u0634\u062f.<\/p>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0628\u0627 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u06cc\u062f \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u0622\u0646\u0686\u0647 \u0627\u062d\u062a\u0645\u0627\u0644 \u0648\u0642\u0648\u0639 \u062f\u0627\u0631\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f\u060c \u0645\u0627\u0646\u0646\u062f \u0627\u06cc\u0646\u06a9\u0647 \u06a9\u062f\u0627\u0645 \u062f\u0633\u062a\u0647 \u0645\u062d\u0635\u0648\u0644 \u0645\u0648\u0641\u0642 \u0627\u0633\u062a \u06cc\u0627 \u06a9\u062f\u0627\u0645 \u0645\u0646\u0637\u0642\u0647 \u0639\u0642\u0628 \u0645\u0627\u0646\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0644\u0641 \u0627\u0633\u062a process \u062a\u0628\u062f\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0627\u0634\u06a9\u0627\u0644 \u0642\u0627\u0628\u0644 \u062f\u0631\u06a9 \u0648 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0622\u0633\u0627\u0646 \u062a\u0631 \u0628\u0631\u0627\u06cc \u062a\u0635\u0645\u06cc\u0645 \u06af\u06cc\u0631\u06cc. Matplotlib \u0628\u0647 \u062f\u0644\u06cc\u0644 \u062a\u0639\u062f\u0627\u062f \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u0627\u0646\u0648\u0627\u0639 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0648 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u0627\u062d\u062a\u0645\u0627\u0644\u06cc \u06a9\u0647 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0647\u0633\u062a\u0646\u062f\u060c \u0628\u0647 \u0648\u06cc\u0698\u0647 \u062f\u0631 \u067e\u0631\u062f\u0627\u062e\u062a\u0646 \u0628\u0647 \u0627\u06cc\u0646 \u0686\u0627\u0644\u0634 \u0647\u0627 \u0628\u0631\u0627\u06cc \u062f\u0627\u0646\u0634\u0645\u0646\u062f\u0627\u0646 \u0648 \u062a\u062d\u0644\u06cc\u0644\u06af\u0631\u0627\u0646 \u062f\u0627\u062f\u0647 \u0645\u0648\u062b\u0631 \u0627\u0633\u062a.<\/p>\n<h2 id=\"heading-brief-overview-of-matplotlib\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b1%d9%88%d8%b1%db%8c_%da%a9%d9%88%d8%aa%d8%a7%d9%87_%d8%a8%d8%b1_matplotlib\"><\/span>\u0645\u0631\u0648\u0631\u06cc \u06a9\u0648\u062a\u0627\u0647 \u0628\u0631 Matplotlib<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Matplotlib \u06a9\u0647 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u062d\u0628\u0648\u0628\u200c\u062a\u0631\u06cc\u0646 \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631\u0647\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u062f\u0631 \u0645\u062d\u06cc\u0637 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u062c\u0631\u0627 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u062a\u0648\u0633\u0637 \u062c\u0627\u0646 \u0647\u0627\u0646\u062a\u0631 \u062f\u0631 \u0633\u0627\u0644 2003 \u0631\u0627\u0647\u200c\u0627\u0646\u062f\u0627\u0632\u06cc \u0634\u062f. \u0628\u0627 \u0622\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646 \u0627\u0634\u06a9\u0627\u0644 \u0645\u062e\u062a\u0644\u0641\u06cc \u0627\u0632 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u062b\u0627\u0628\u062a\u060c \u067e\u0648\u06cc\u0627 \u0648 \u062d\u062a\u06cc \u0645\u062a\u062d\u0631\u06a9 \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f \u06a9\u0647 \u0622\u0646 \u0631\u0627 \u062a\u0628\u062f\u06cc\u0644 \u0628\u0647 \u0627\u0628\u0632\u0627\u0631\u06cc \u0636\u0631\u0648\u0631\u06cc \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0627\u0646\u0634\u0645\u0646\u062f\u060c \u0645\u0647\u0646\u062f\u0633 \u06cc\u0627 \u062a\u062d\u0644\u06cc\u0644\u06af\u0631 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0628\u0631\u062e\u06cc \u0627\u0632 \u0645\u0634\u06a9\u0644\u0627\u062a \u0631\u0627\u06cc\u062c\u06cc \u06a9\u0647 Matplotlib \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u062d\u0644 \u0622\u0646\u0647\u0627 \u06a9\u0645\u06a9 \u06a9\u0646\u062f \u0639\u0628\u0627\u0631\u062a\u0646\u062f \u0627\u0632:<\/p>\n<ul>\n<li>\n<p>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0631\u0627 \u0628\u0631\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0627\u0644\u06af\u0648\u0647\u0627 \u0648 \u0645\u0648\u0627\u0631\u062f \u067e\u0631\u062a \u062a\u062c\u0633\u0645 \u06a9\u0646\u06cc\u062f.<\/p>\n<\/li>\n<li>\n<p>\u0637\u0631\u0627\u062d\u06cc \u06af\u0631\u0627\u0641\u06cc\u06a9 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u0627\u06cc \u0686\u0627\u067e \u0645\u0642\u0627\u0644\u0627\u062a \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc.<\/p>\n<\/li>\n<li>\n<p>\u062a\u0631\u06a9\u06cc\u0628 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u0634\u062f\u0647 \u0627\u0632 \u0645\u0646\u0627\u0628\u0639 \u0645\u062e\u062a\u0644\u0641 \u0628\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062a\u0639\u0627\u0645\u0644\u06cc \u0648 \u0622\u0645\u0648\u0632\u0646\u062f\u0647.<\/p>\n<\/li>\n<li>\n<p>\u0627\u0646\u0637\u0628\u0627\u0642 \u0631\u0648\u0646\u062f\u0647\u0627 \u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0628\u0631\u0627\u06cc \u0634\u0641\u0627\u0641 \u0633\u0627\u0632\u06cc \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u06a9\u0647 \u0628\u0647 \u062a\u0635\u0648\u06cc\u0631 \u06a9\u0634\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<\/li>\n<\/ul>\n<h2 id=\"heading-getting-started-with-matplotlib\"><span class=\"ez-toc-section\" id=\"%d8%b4%d8%b1%d9%88%d8%b9_%da%a9%d8%a7%d8%b1_%d8%a8%d8%a7_matplotlib\"><\/span>\u0634\u0631\u0648\u0639 \u06a9\u0627\u0631 \u0628\u0627 Matplotlib<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"heading-installation-and-setup\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%b5%d8%a8_%d9%88_%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c\"><\/span>\u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0628\u0647 \u0627\u06cc\u062c\u0627\u062f \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0628\u067e\u0631\u062f\u0627\u0632\u06cc\u0645\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f Matplotlib \u0631\u0627 \u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645. \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f Matplotlib \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f <code>pip<\/code> \u06cc\u0627 <code>conda<\/code>:<\/p>\n<pre><code class=\"lang-python\">pip install matplotlib\n<\/code><\/pre>\n<p>\u0627\u0632 \u0637\u0631\u0641 \u062f\u06cc\u06af\u0631\u060c \u0627\u06af\u0631 \u0627\u0632 Anaconda \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"lang-python\">conda install matplotlib\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u062a\u0627\u06cc\u06cc\u062f \u0646\u0635\u0628:<\/p>\n<pre><code class=\"lang-python\"><span class=\"hljs-keyword\">import<\/span> matplotlib\nprint(matplotlib.__version__)\n<\/code><\/pre>\n<h3 id=\"heading-how-to-create-your-first-plot\"><span class=\"ez-toc-section\" id=\"%da%86%da%af%d9%88%d9%86%d9%87_%d8%a7%d9%88%d9%84%db%8c%d9%86_%d8%b7%d8%b1%d8%ad_%d8%ae%d9%88%d8%af_%d8%b1%d8%a7_%d8%a8%d8%b3%d8%a7%d8%b2%db%8c%d9%85\"><\/span>\u0686\u06af\u0648\u0646\u0647 \u0627\u0648\u0644\u06cc\u0646 \u0637\u0631\u062d \u062e\u0648\u062f \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u0645<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0627 \u062d\u0644 \u06cc\u06a9 \u0645\u0634\u06a9\u0644 \u0631\u0627\u06cc\u062c \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645: \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0641\u0631\u0636 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0634\u0645\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0627\u0631\u06cc\u062f \u06a9\u0647 \u062f\u0645\u0627\u06cc \u0631\u0648\u0632\u0627\u0646\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0645\u0627\u0647 \u0645\u0634\u062e\u0635 \u062b\u0628\u062a \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u062f\u0645\u0627 \u0631\u0627 \u0645\u0637\u0627\u0644\u0639\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0631\u0648\u0634 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0637\u0631\u062d \u062e\u0637 \u0633\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0627\u06cc\u0646 \u0631\u0648\u0646\u062f \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"lang-python\"><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\n<span class=\"hljs-comment\"># Simulating daily temperature data<\/span>\ndays = np.arange(<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">20<\/span>)\ntemperature = np.random.normal(loc=<span class=\"hljs-number\">25<\/span>, scale=<span class=\"hljs-number\">5<\/span>, size=len(days))\n\nplt.plot(days, temperature, marker=<span class=\"hljs-string\">'o'<\/span>)\nplt.title(<span class=\"hljs-string\">'Daily Temperatures in August'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'Day'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Temperature (\u00b0C)'<\/span>)\nplt.grid(<span class=\"hljs-literal\">True<\/span>)\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/479efd1e-0324-4c93-b12e-50942b78f183.png\" alt=\"\u06cc\u06a9 \u0637\u0631\u062d \u0633\u0627\u062f\u0647\" width=\"576\" height=\"465\" loading=\"lazy\" title=\"\"><\/p>\n<ul>\n<li>\n<p>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u06cc\u0645 <code>np.arange<\/code> \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u06cc\u06a9 \u0633\u0631\u06cc \u0631\u0648\u0632.<\/p>\n<\/li>\n<li>\n<p><code>np.random.normal<\/code>  \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062f\u0645\u0627 \u0631\u0627 \u0628\u0627 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 (<code>loc<\/code>) \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 20 \u062f\u0631\u062c\u0647 \u0633\u0627\u0646\u062a\u06cc\u06af\u0631\u0627\u062f \u0648 \u0627\u0646\u062d\u0631\u0627\u0641 \u0645\u0639\u06cc\u0627\u0631 (<code>scale<\/code>) \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 5 \u062f\u0631\u062c\u0647 \u0633\u0627\u0646\u062a\u06cc\u06af\u0631\u0627\u062f.<\/p>\n<\/li>\n<li>\n<p><code>plt.plot<\/code>  \u0628\u0631\u0627\u06cc \u0647\u0631 \u0631\u0648\u0632 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u062e\u0637\u06cc \u0628\u0627 \u0646\u0634\u0627\u0646\u06af\u0631\u0647\u0627 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<\/li>\n<li>\n<p>\u0639\u0646\u0627\u0648\u06cc\u0646 \u0648 \u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0627\u0636\u0627\u0641\u0647 \u0634\u062f\u0646\u062f \u062a\u0627 \u0637\u0631\u062d \u0622\u0645\u0648\u0632\u0646\u062f\u0647 \u0628\u0627\u0634\u062f.<\/p>\n<\/li>\n<\/ul>\n<h3 id=\"heading-exploring-different-types-of-plots\"><span class=\"ez-toc-section\" id=\"%da%a9%d8%a7%d9%88%d8%b4_%d8%af%d8%b1_%d8%a7%d9%86%d9%88%d8%a7%d8%b9_%d9%85%d8%ae%d8%aa%d9%84%d9%81_%d9%82%d8%b7%d8%b9%d9%87_%d9%87%d8%a7\"><\/span>\u06a9\u0627\u0648\u0634 \u062f\u0631 \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641 \u0642\u0637\u0639\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Matplotlib \u0627\u0632 \u0627\u0646\u0648\u0627\u0639 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0647\u0631 \u06a9\u062f\u0627\u0645 \u0628\u0631\u0627\u06cc \u0645\u0634\u06a9\u0644\u0627\u062a \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u062e\u0627\u0635 \u0645\u0646\u0627\u0633\u0628 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<h4 id=\"heading-line-plots\">\u0637\u0631\u062d \u0647\u0627\u06cc \u062e\u0637\u06cc<\/h4>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u062e\u0637\u06cc \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0631\u0648\u0646\u062f\u0647\u0627 \u062f\u0631 \u0637\u0648\u0644 \u0632\u0645\u0627\u0646 \u06cc\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062f\u0627\u0648\u0645 \u0627\u06cc\u062f\u0647 \u0622\u0644 \u0647\u0633\u062a\u0646\u062f. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u067e\u06cc\u06af\u06cc\u0631\u06cc \u0641\u0631\u0648\u0634 \u0645\u0627\u0647\u0627\u0646\u0647 \u06cc\u06a9 \u0645\u062d\u0635\u0648\u0644:<\/p>\n<pre><code class=\"lang-python\">months = np.arange(<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">13<\/span>)\nsales = np.random.randint(<span class=\"hljs-number\">2000<\/span>, <span class=\"hljs-number\">4000<\/span>, size=len(months))\nplt.plot(months, sales, color=<span class=\"hljs-string\">'red'<\/span>, linestyle=<span class=\"hljs-string\">'--'<\/span>, marker=<span class=\"hljs-string\">'o'<\/span>)\nplt.title(<span class=\"hljs-string\">\"Monthly Sales of Product \"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"Month\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Sales (Units)\"<\/span>)\nplt.grid(<span class=\"hljs-literal\">True<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/80917af9-81c1-4adc-aeef-63aac02d6b66.png\" alt=\"\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062e\u0637\u0648\u0637 \u062e\u0637\u06cc \u0628\u0631\u0627\u06cc \u067e\u06cc\u06af\u06cc\u0631\u06cc \u0641\u0631\u0648\u0634 \u0645\u0627\u0647\u0627\u0646\u0647\" width=\"576\" height=\"448\" loading=\"lazy\" title=\"\"><\/p>\n<h4 id=\"heading-scatter-plots\">\u067e\u0644\u0627\u062a \u0647\u0627\u06cc \u067e\u0631\u0627\u06a9\u0646\u062f\u0647<\/h4>\n<p>\u0627\u0632 \u0622\u0646\u0647\u0627 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0631\u0648\u0627\u0628\u0637 \u0633\u0627\u062f\u0647 \u0628\u06cc\u0646 \u062f\u0648 \u0645\u062a\u063a\u06cc\u0631 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0638\u0627\u0647\u0631 \u0646\u0642\u0627\u0637 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u06cc \u0634\u0648\u062f. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u062a\u062c\u0633\u0645 \u0631\u0627\u0628\u0637\u0647 \u0628\u06cc\u0646 \u0647\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u062a\u0628\u0644\u06cc\u063a\u0627\u062a \u0648 \u0641\u0631\u0648\u0634:<\/p>\n<pre><code class=\"lang-python\">ad_spend = np.random.randint(<span class=\"hljs-number\">50<\/span>, <span class=\"hljs-number\">1000<\/span>, size=<span class=\"hljs-number\">50<\/span>)\nsales = ad_spend * np.random.uniform(<span class=\"hljs-number\">0.8<\/span>, <span class=\"hljs-number\">1.2<\/span>, size=<span class=\"hljs-number\">50<\/span>)\n\nplt.scatter(ad_spend, sales, color=<span class=\"hljs-string\">'blue'<\/span>)\nplt.title(<span class=\"hljs-string\">\"Advertisement Spending vs. Sales\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"Ad Spend (USD)\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Sales (Units)\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/0ebd072d-3bd8-498c-9e6f-3917497ba5a9.png\" alt=\"\u0646\u0645\u0627\u06cc\u0634 \u0637\u0631\u062d \u067e\u0631\u0627\u06a9\u0646\u062f\u0647\" width=\"576\" height=\"450\" loading=\"lazy\" title=\"\"><\/p>\n<h4 id=\"heading-bar-charts\">\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u06cc\u0644\u0647 \u0627\u06cc<\/h4>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u06cc\u0644\u0647 \u0627\u06cc \u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u06cc\u0633\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0634\u062f\u0647 \u0645\u0648\u062b\u0631 \u0647\u0633\u062a\u0646\u062f. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u062a\u062c\u0633\u0645 \u06a9\u0644 \u062f\u0631\u0622\u0645\u062f \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 \u0686\u0646\u062f\u06cc\u0646 \u06af\u0631\u0648\u0647 \u0645\u062d\u0635\u0648\u0644:<\/p>\n<pre><code class=\"lang-python\">groupings = [<span class=\"hljs-string\">'Musical Instruments'<\/span>, <span class=\"hljs-string\">'Furniture'<\/span>, <span class=\"hljs-string\">'Clothing'<\/span>, <span class=\"hljs-string\">'Food'<\/span>]\nrevenue = [<span class=\"hljs-number\">50000<\/span>, <span class=\"hljs-number\">30000<\/span>, <span class=\"hljs-number\">20000<\/span>, <span class=\"hljs-number\">40000<\/span>]\n\nplt.bar(groupings, revenue, color=<span class=\"hljs-string\">'green'<\/span>)\nplt.title(<span class=\"hljs-string\">\"Revenue by Product Grouping\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"Group\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Revenue (EURO)\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/a81a751d-2b5f-4c8a-98e9-3170756c440e.png\" alt=\"\u062a\u062c\u0633\u0645 \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u06cc\u0644\u0647 \u0627\u06cc\" width=\"576\" height=\"446\" loading=\"lazy\" title=\"\"><\/p>\n<h4 id=\"heading-histograms\">\u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 \u0647\u0627<\/h4>\n<p>\u0622\u0646\u0647\u0627 \u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u0628\u0631 \u0627\u0633\u0627\u0633 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f \u0631\u0648\u06cc \u0641\u0631\u06a9\u0627\u0646\u0633 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u062a\u062c\u0633\u0645 \u062a\u0648\u0632\u06cc\u0639 \u0633\u0646 \u0645\u0634\u062a\u0631\u06cc \u062f\u0631 \u06cc\u06a9 \u0646\u0638\u0631\u0633\u0646\u062c\u06cc:<\/p>\n<pre><code class=\"lang-python\">ages = np.random.randint(<span class=\"hljs-number\">18<\/span>, <span class=\"hljs-number\">65<\/span>, size=<span class=\"hljs-number\">2000<\/span>)\n\nplt.hist(ages, bins=<span class=\"hljs-number\">10<\/span>, color=<span class=\"hljs-string\">'purple'<\/span>, edgecolor=<span class=\"hljs-string\">'black'<\/span>)\nplt.title(<span class=\"hljs-string\">\"Age Distribution of Survey Participants\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"Age\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Number of Participants\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/19eeae57-97b9-4a29-9773-393627cb0d1c.png\" alt=\"\u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 \u062a\u0648\u0632\u06cc\u0639 \u0633\u0646 \u0645\u0634\u062a\u0631\u06cc \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f\" width=\"576\" height=\"462\" loading=\"lazy\" title=\"\"><\/p>\n<h4 id=\"heading-pie-charts\">\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u067e\u0627\u06cc<\/h4>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0627\u06cc\u0631\u0647 \u0627\u06cc \u0628\u0631\u0627\u06cc \u0646\u0645\u0627\u06cc\u0634 \u062f\u0631\u0635\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u0642\u0627\u0644\u0628 \u06af\u0631\u0627\u0641\u06cc\u06a9\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u062a\u062c\u0633\u0645 \u0633\u0647\u0645 \u0628\u0627\u0632\u0627\u0631 \u0634\u0631\u06a9\u062a \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641:<\/p>\n<pre><code class=\"lang-python\">companies = [<span class=\"hljs-string\">'Company W'<\/span>, <span class=\"hljs-string\">'Company X'<\/span>, <span class=\"hljs-string\">'Company Y'<\/span>, <span class=\"hljs-string\">'Company Z'<\/span>]\nmarket_share = [<span class=\"hljs-number\">40<\/span>, <span class=\"hljs-number\">30<\/span>, <span class=\"hljs-number\">20<\/span>, <span class=\"hljs-number\">10<\/span>]\n\nplt.pie(market_share, labels=companies, autopct=<span class=\"hljs-string\">'%1.1f%%'<\/span>, colors=[<span class=\"hljs-string\">'blue'<\/span>, <span class=\"hljs-string\">'orange'<\/span>, <span class=\"hljs-string\">'green'<\/span>, <span class=\"hljs-string\">'red'<\/span>])\nplt.title(<span class=\"hljs-string\">\"Market Share by Company\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/a626ebb2-f3bc-4fb9-98e1-57d2dfdead8e.png\" alt=\"\u0646\u0645\u0627\u06cc\u0634 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0627\u06cc\u0631\u0647 \u0627\u06cc\" width=\"576\" height=\"484\" loading=\"lazy\" title=\"\"><\/p>\n<h2 id=\"heading-advanced-plot-customizations\"><span class=\"ez-toc-section\" id=\"%d8%b3%d9%81%d8%a7%d8%b1%d8%b4%db%8c_%d8%b3%d8%a7%d8%b2%db%8c_%d8%b7%d8%b1%d8%ad_%d9%87%d8%a7%db%8c_%d9%be%db%8c%d8%b4%d8%b1%d9%81%d8%aa%d9%87\"><\/span>\u0633\u0641\u0627\u0631\u0634\u06cc \u0633\u0627\u0632\u06cc \u0637\u0631\u062d \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"heading-how-to-work-with-multiple-plots\"><span class=\"ez-toc-section\" id=\"%d8%b1%d9%88%d8%b4_%da%a9%d8%a7%d8%b1_%d8%a8%d8%a7_%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>\u0631\u0648\u0634 \u06a9\u0627\u0631 \u0628\u0627 \u067e\u0644\u0627\u062a \u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0628\u0631\u062e\u06cc \u0634\u0631\u0627\u06cc\u0637\u060c \u0627\u0632 \u0634\u0645\u0627 \u062e\u0648\u0627\u0633\u062a\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u06a9\u0647 \u0686\u0646\u062f\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0634\u06a9\u0644 \u0645\u0642\u0627\u06cc\u0633\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0645\u0642\u0627\u06cc\u0633\u0647 \u0631\u0648\u0646\u062f \u0641\u0631\u0648\u0634 \u062f\u0631 \u0645\u0646\u0627\u0637\u0642 \u0645\u062e\u062a\u0644\u0641. \u0627\u06cc\u0646 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0637\u0631\u062d \u0647\u0627\u06cc \u0641\u0631\u0639\u06cc \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f:<\/p>\n<pre><code class=\"lang-python\">regions = [<span class=\"hljs-string\">'North'<\/span>, <span class=\"hljs-string\">'South'<\/span>, <span class=\"hljs-string\">'East'<\/span>, <span class=\"hljs-string\">'West'<\/span>]\nsales_data = np.random.randint(<span class=\"hljs-number\">500<\/span>, <span class=\"hljs-number\">5000<\/span>, size=(<span class=\"hljs-number\">4<\/span>, <span class=\"hljs-number\">12<\/span>))\n\nfig, axs = plt.subplots(<span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">2<\/span>, figsize=(<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">8<\/span>))\nfig.suptitle(<span class=\"hljs-string\">'Monthly Sales by Region'<\/span>)\n\n<span class=\"hljs-keyword\">for<\/span> i, region <span class=\"hljs-keyword\">in<\/span> enumerate(regions):\n    ax = axs[i \/\/ <span class=\"hljs-number\">2<\/span>, i % <span class=\"hljs-number\">2<\/span>]\n    ax.plot(months, sales_data[i], marker=<span class=\"hljs-string\">'o'<\/span>)\n    ax.set_title(region)\n    ax.set_xlabel(<span class=\"hljs-string\">\"Month\"<\/span>)\n    ax.set_ylabel(<span class=\"hljs-string\">\"Sales (Units)\"<\/span>)\n\nplt.tight_layout()\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/336f9425-183a-4035-8f14-6462d0e1c358.png\" alt=\"\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0686\u0646\u062f\u06af\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u06cc\u0633\u0647 \u0631\u0648\u0646\u062f \u0641\u0631\u0648\u0634\" width=\"576\" height=\"456\" loading=\"lazy\" title=\"\"><\/p>\n<h3 id=\"heading-how-to-enhance-plot-aesthetics\"><span class=\"ez-toc-section\" id=\"%da%86%da%af%d9%88%d9%86%d9%87_%d8%b2%db%8c%d8%a8%d8%a7%db%8c%db%8c_%d8%b4%d9%86%d8%a7%d8%b3%db%8c_%d8%b7%d8%b1%d8%ad_%d8%b1%d8%a7_%d8%aa%d9%82%d9%88%db%8c%d8%aa_%da%a9%d9%86%db%8c%d9%85\"><\/span>\u0686\u06af\u0648\u0646\u0647 \u0632\u06cc\u0628\u0627\u06cc\u06cc \u0634\u0646\u0627\u0633\u06cc \u0637\u0631\u062d \u0631\u0627 \u062a\u0642\u0648\u06cc\u062a \u06a9\u0646\u06cc\u0645<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0645\u06cc\u0627\u0646 \u06af\u0632\u06cc\u0646\u0647\u200c\u0647\u0627\u06cc \u0645\u0639\u0645\u0648\u0644\u06cc \u0628\u0631\u0627\u06cc \u0637\u0631\u062d\u200c\u0647\u0627\u06cc \u0645\u062a\u062f\u0627\u0648\u0644\u060c \u0627\u0645\u06a9\u0627\u0646 \u06a9\u0646\u062a\u0631\u0644 \u0638\u0627\u0647\u0631 \u06cc\u06a9 \u0637\u0631\u062d \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0646\u062f\u0647 \u0648 \u0632\u06cc\u0628\u0627\u0634\u0646\u0627\u062e\u062a\u06cc \u06a9\u0631\u062f\u0646 \u0622\u0646 \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"lang-python\">plt.plot(days, temperature, color=<span class=\"hljs-string\">'orange'<\/span>, marker=<span class=\"hljs-string\">'x'<\/span>, linestyle=<span class=\"hljs-string\">'-'<\/span>)\nplt.title(<span class=\"hljs-string\">\"Daily Temperatures in August\"<\/span>, fontsize=<span class=\"hljs-number\">16<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"Day\"<\/span>, fontsize=<span class=\"hljs-number\">12<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Temperature (\u00b0C)\"<\/span>, fontsize=<span class=\"hljs-number\">12<\/span>)\nplt.grid(<span class=\"hljs-literal\">True<\/span>)\nplt.legend([<span class=\"hljs-string\">'Temperature'<\/span>], loc=<span class=\"hljs-string\">'upper right'<\/span>)\nplt.annotate(<span class=\"hljs-string\">'Coldest Day'<\/span>, xy=(<span class=\"hljs-number\">5<\/span>, <span class=\"hljs-number\">10<\/span>), xytext=(<span class=\"hljs-number\">7<\/span>, <span class=\"hljs-number\">5<\/span>),\n             arrowprops=dict(facecolor=<span class=\"hljs-string\">'black'<\/span>, arrowstyle=<span class=\"hljs-string\">'-&gt;'<\/span>))\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/12638dc3-dd99-427f-ba1d-2ec59cadd03a.png\" alt=\"\u062a\u0635\u0648\u06cc\u0631\u06cc \u06a9\u0647 \u0637\u0631\u062d\u06cc \u0632\u06cc\u0628\u0627\u0634\u0646\u0627\u062e\u062a\u06cc \u062f\u0644\u067e\u0630\u06cc\u0631 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f\" width=\"576\" height=\"457\" loading=\"lazy\" title=\"\"><\/p>\n<p>\u06a9\u062f \u0631\u0646\u06af \u0647\u0627 \u0648 \u0646\u0634\u0627\u0646\u06af\u0631\u0647\u0627\u060c \u0633\u0628\u06a9 \u0647\u0627\u06cc \u062e\u0637\u060c \u0639\u0646\u0627\u0648\u06cc\u0646 \u0648 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u0645\u062d\u0648\u0631 \u0631\u0627 \u0628\u0627 \u0627\u0646\u062f\u0627\u0632\u0647 \u0641\u0648\u0646\u062a \u062f\u0644\u062e\u0648\u0627\u0647\u060c \u0634\u0628\u06a9\u0647 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u062f\u0647\u062f. \u0631\u0648\u06cc\u060c \u0627\u0641\u0633\u0627\u0646\u0647 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0633\u0631\u062f\u062a\u0631\u06cc\u0646 \u0631\u0648\u0632 \u0631\u0627 \u0628\u0627 \u06cc\u06a9 \u0641\u0644\u0634 \u062d\u0627\u0634\u06cc\u0647 \u0646\u0648\u06cc\u0633\u06cc \u0645\u06cc \u06a9\u0646\u062f. \u0627\u06cc\u0646 \u067e\u06cc\u0634\u0631\u0641\u062a \u0647\u0627 \u0637\u0631\u062d \u0631\u0627 \u0622\u0645\u0648\u0632\u0646\u062f\u0647 \u0648 \u0645\u0646\u0638\u0645 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u062f\u0631 \u0646\u062a\u06cc\u062c\u0647 \u067e\u06cc\u0627\u0645\u06cc \u062d\u0631\u0641\u0647 \u0627\u06cc \u0648 \u0648\u0627\u0636\u062d \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<h3 id=\"heading-how-to-save-and-export-plots\"><span class=\"ez-toc-section\" id=\"%d8%b1%d9%88%d8%b4_%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%d9%88_%d8%b5%d8%a7%d8%af%d8%b1%d8%a7%d8%aa_%d9%82%d8%b7%d8%b9%d9%87_%d9%87%d8%a7\"><\/span>\u0631\u0648\u0634 \u0630\u062e\u06cc\u0631\u0647 \u0648 \u0635\u0627\u062f\u0631\u0627\u062a \u0642\u0637\u0639\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u06cc\u06a9 \u0637\u0631\u062d \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u06cc\u062f\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0644\u0627\u0632\u0645 \u0628\u0627\u0634\u062f \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0642\u0627\u0644\u0628 \u062e\u0627\u0635\u06cc \u0628\u0631\u0627\u06cc \u06af\u0632\u0627\u0631\u0634 \u06cc\u0627 \u0627\u0631\u0627\u0626\u0647 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f. \u062f\u0631 \u0632\u06cc\u0631 \u06cc\u06a9 \u0646\u0645\u0648\u0646\u0647 \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u0631\u0648\u06cc \u0686\u06af\u0648\u0646\u0647 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0648\u062b\u0631 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"lang-python\">plt.plot(days, temperature)\nplt.title(<span class=\"hljs-string\">\"Daily Temperatures in August\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"Day\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Temperature (\u00b0C)\"<\/span>)\n\n<span class=\"hljs-comment\"># Saving the plot<\/span>\nplt.savefig(<span class=\"hljs-string\">\"daily_temperatures_august.png\"<\/span>, dpi=<span class=\"hljs-number\">300<\/span>, bbox_inches=<span class=\"hljs-string\">'tight'<\/span>)\nplt.savefig(<span class=\"hljs-string\">\"daily_temperatures_august.pdf\"<\/span>, format=<span class=\"hljs-string\">'pdf'<\/span>, bbox_inches=<span class=\"hljs-string\">'tight'<\/span>)\n<\/code><\/pre>\n<p>\u0631\u0627 <code>dpi<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0648\u0636\u0648\u062d \u0646\u0645\u0648\u062f\u0627\u0631 \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647 \u0631\u0627 \u06a9\u0646\u062a\u0631\u0644 \u0645\u06cc \u06a9\u0646\u062f \u0648 <code>bbox_inches=\"tight\"<\/code> \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0637\u0631\u062d \u0628\u062f\u0648\u0646 \u0641\u0636\u0627\u06cc \u062e\u0627\u0644\u06cc \u0627\u0636\u0627\u0641\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<h2 id=\"heading-interactive-plotting-and-animation\"><span class=\"ez-toc-section\" id=\"%d8%aa%d9%88%d8%b7%d8%a6%d9%87_%d9%88_%d8%a7%d9%86%db%8c%d9%85%db%8c%d8%b4%d9%86_%d8%aa%d8%b9%d8%a7%d9%85%d9%84%db%8c\"><\/span>\u062a\u0648\u0637\u0626\u0647 \u0648 \u0627\u0646\u06cc\u0645\u06cc\u0634\u0646 \u062a\u0639\u0627\u0645\u0644\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"heading-interactive-features-in-matplotlib\"><span class=\"ez-toc-section\" id=\"%d9%88%db%8c%da%98%da%af%db%8c_%d9%87%d8%a7%db%8c_%d8%aa%d8%b9%d8%a7%d9%85%d9%84%db%8c_%d8%af%d8%b1_matplotlib\"><\/span>\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u0639\u0627\u0645\u0644\u06cc \u062f\u0631 Matplotlib<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0634\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0637\u0631\u062d \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u062a\u0639\u0627\u0645\u0644\u06cc \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0628\u0647 \u062c\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0644 \u0637\u0631\u062d\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0647 \u0645\u0646\u0637\u0642\u0647 \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u0646\u0632\u062f\u06cc\u06a9\u200c\u062a\u0631 \u0634\u0648\u062f\u060c \u06cc\u0627 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0637\u0631\u062d \u0628\u0627\u06cc\u062f \u0628\u0647 \u0646\u062d\u0648\u06cc \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0648\u0631\u0648\u062f\u06cc \u06a9\u0627\u0631\u0628\u0631 \u062a\u063a\u06cc\u06cc\u0631 \u06a9\u0646\u062f.<\/p>\n<pre><code class=\"lang-python\"><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\">0<\/span>, <span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">100<\/span>)\ny = np.cos(x)\n\nfig, ax = plt.subplots()\nax.plot(x, y)\n\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">on_click<\/span>(<span class=\"hljs-params\">event<\/span>):<\/span>\n    <span class=\"hljs-comment\"># This function is called when the plot is clicked<\/span>\n    print(<span class=\"hljs-string\">f\"The Coordinates were clicked at: (<span class=\"hljs-subst\">{event.xdata}<\/span>, <span class=\"hljs-subst\">{event.ydata}<\/span>)\"<\/span>)\n\nfig.canvas.mpl_connect(<span class=\"hljs-string\">'button_press_event'<\/span>, on_click)\nplt.show()\n<\/code><\/pre>\n<p>\u06a9\u062f \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u0648\u062c \u06a9\u0633\u06cc\u0646\u0648\u0633 \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u062f \u0648 \u06cc\u06a9 \u06a9\u0646\u062a\u0631\u0644 \u06a9\u0646\u0646\u062f\u0647 \u0631\u0648\u06cc\u062f\u0627\u062f \u06a9\u0644\u06cc\u06a9 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u0622\u0646 \u0631\u0627 \u0628\u0627 <code>on_click<\/code> \u0646\u0627\u0645 \u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0634\u0645\u0627 \u062f\u0631 \u0647\u0631 \u0646\u0642\u0637\u0647 \u06a9\u0644\u06cc\u06a9 \u06a9\u0646\u06cc\u062f \u0631\u0648\u06cc \u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631\u060c \u06a9\u0646\u062a\u0631\u0644 \u06a9\u0646\u0646\u062f\u0647 \u0645\u062e\u062a\u0635\u0627\u062a \u06a9\u0644\u06cc\u06a9 \u0631\u0627 \u0686\u0627\u067e \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 console.<\/p>\n<h3 id=\"heading-how-to-create-animations\"><span class=\"ez-toc-section\" id=\"%d8%b1%d9%88%d8%b4_%d8%a7%db%8c%d8%ac%d8%a7%d8%af_%d8%a7%d9%86%db%8c%d9%85%db%8c%d8%b4%d9%86\"><\/span>\u0631\u0648\u0634 \u0627\u06cc\u062c\u0627\u062f \u0627\u0646\u06cc\u0645\u06cc\u0634\u0646<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u0646\u06cc\u0645\u06cc\u0634\u0646\u200c\u0647\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u0646\u062f \u062f\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0686\u06af\u0648\u0646\u06af\u06cc \u062a\u06a9\u0627\u0645\u0644 \u0686\u06cc\u0632\u0647\u0627 \u0645\u0641\u06cc\u062f \u0628\u0627\u0634\u0646\u062f. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0627\u0641\u0632\u0627\u06cc\u0634 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u06cc\u0627 \u062f\u0648\u0631\u0647 \u0646\u0647\u0641\u062a\u06af\u06cc \u06cc\u06a9 \u0628\u06cc\u0645\u0627\u0631\u06cc:<\/p>\n<pre><code class=\"lang-python\"><span class=\"hljs-keyword\">import<\/span> matplotlib.animation <span class=\"hljs-keyword\">as<\/span> animation\n\nfig, ax = plt.subplots()\nline, = ax.plot(x, y)\n\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">update<\/span>(<span class=\"hljs-params\">frame<\/span>):<\/span>\n    line.set_ydata(np.cos(x + frame \/ <span class=\"hljs-number\">10<\/span>))\n    <span class=\"hljs-keyword\">return<\/span> line,\n\nani = animation.FuncAnimation(fig, update, frames=range(<span class=\"hljs-number\">100<\/span>), blit=<span class=\"hljs-literal\">True<\/span>)\nplt.show()\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u06a9\u062f \u06cc\u06a9 \u0645\u0648\u062c \u06a9\u0633\u06cc\u0646\u0648\u0633 \u0645\u062a\u062d\u0631\u06a9 \u0631\u0627 \u062a\u0634\u06a9\u06cc\u0644 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0628\u0627 \u06af\u0630\u0634\u062a \u0632\u0645\u0627\u0646 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f \u06a9\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0627\u0641\u0642\u06cc \u062d\u0631\u06a9\u062a \u0645\u06cc \u06a9\u0646\u062f \u0648 \u062a\u0635\u0648\u0631\u06cc \u0627\u0632 \u062d\u0631\u06a9\u062a \u0645\u0648\u062c \u0627\u0632 \u0686\u067e \u06cc\u0627 \u0631\u0627\u0633\u062a \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f. \u0627\u06af\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0627\u06cc\u062f \u0628\u0631 \u062d\u0633\u0628 \u062a\u063a\u06cc\u06cc\u0631 \u0628\u0627 \u0632\u0645\u0627\u0646 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0634\u0648\u0646\u062f\u060c \u0686\u0646\u06cc\u0646 \u0627\u0646\u06cc\u0645\u06cc\u0634\u0646 \u0647\u0627\u06cc\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0645\u0641\u06cc\u062f \u0628\u0627\u0634\u0646\u062f.<\/p>\n<h2 id=\"heading-how-to-optimize-plots-for-large-datasets\"><span class=\"ez-toc-section\" id=\"%d8%b1%d9%88%d8%b4_%d8%a8%d9%87%db%8c%d9%86%d9%87_%d8%b3%d8%a7%d8%b2%db%8c_%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1%d9%87%d8%a7_%d8%a8%d8%b1%d8%a7%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%db%8c_%d8%a8%d8%b2%d8%b1%da%af\"><\/span>\u0631\u0648\u0634 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0627\u06cc \u06a9\u0647 \u0647\u0646\u06af\u0627\u0645 \u0628\u0631\u062e\u0648\u0631\u062f \u0628\u0627 \u06a9\u0644\u0627\u0646 \u062f\u0627\u062f\u0647 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u0628\u0627 \u0645\u0642\u062f\u0627\u0631 \u062f\u0627\u062f\u0647 \u0645\u0634\u062e\u0635 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0627\u0647\u0645\u06cc\u062a \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0627\u06cc\u062f \u0628\u06cc\u0627\u0646 \u0634\u0648\u062f. \u0627\u063a\u0644\u0628 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0646\u062f \u0627\u0633\u062a \u0648 \u0628\u0631\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062d\u0627\u0641\u0638\u0647 \u0632\u06cc\u0627\u062f\u06cc \u0644\u0627\u0632\u0645 \u0627\u0633\u062a. \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0646\u06a9\u0627\u062a\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u0632 \u0622\u0646\u0647\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062d\u062f\u0627\u06a9\u062b\u0631\u06cc \u0627\u0632 \u0646\u0642\u0634\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<h3 id=\"heading-efficient-plotting-techniques-for-large-datasets\"><span class=\"ez-toc-section\" id=\"%d8%aa%da%a9%d9%86%db%8c%da%a9_%d9%87%d8%a7%db%8c_%d8%b1%d8%b3%d9%85_%da%a9%d8%a7%d8%b1%d8%a2%d9%85%d8%af_%d8%a8%d8%b1%d8%a7%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%db%8c_%d8%a8%d8%b2%d8%b1%da%af\"><\/span>\u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0631\u0633\u0645 \u06a9\u0627\u0631\u0622\u0645\u062f \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4 id=\"heading-downsampling\">\u06a9\u0627\u0647\u0634 \u0646\u0645\u0648\u0646\u0647<\/h4>\n<p>\u062f\u0631 \u0627\u06cc\u0646 process\u060c \u0627\u0645\u062a\u06cc\u0627\u0632\u0627\u062a \u06a9\u0645\u062a\u0631\u06cc \u0631\u0627 \u0646\u0633\u0628\u062a \u0628\u0647 \u0622\u0646\u0686\u0647 \u06a9\u0647 \u0637\u0631\u062d \u0627\u0635\u0644\u06cc \u062f\u0627\u0631\u062f \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<pre><code class=\"lang-python\"><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\n<span class=\"hljs-comment\"># Generate large dataset<\/span>\nx_huge = np.linspace(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">100<\/span>, <span class=\"hljs-number\">10000<\/span>)\ny_huge = np.sin(x_huge) + np.random.normal(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">0.1<\/span>, size=x_huge.shape)\n\n<span class=\"hljs-comment\"># Downsample the data<\/span>\nx_downsampled = x_huge[::<span class=\"hljs-number\">10<\/span>]\ny_downsampled = y_huge[::<span class=\"hljs-number\">10<\/span>]\n\nplt.plot(x_downsampled, y_downsampled)\nplt.title(<span class=\"hljs-string\">\"Downsampled Plot\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Y\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/041f79ce-0519-4d6c-830f-099b0be2ac4f.png\" alt=\"\u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0637\u0631\u062d \u067e\u0627\u06cc\u06cc\u0646 \u0646\u0645\u0648\u0646\u0647\" width=\"576\" height=\"456\" loading=\"lazy\" title=\"\"><\/p>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u062a\u0639\u062f\u0627\u062f \u0646\u0642\u0627\u0637 \u0631\u0633\u0645 \u0646\u0645\u0648\u062f\u0627\u0631 \u0631\u0627 \u06a9\u0627\u0647\u0634 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0631\u0648\u06cc \u0648 \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u0631\u0627 \u0628\u0639\u062f \u0627\u0632 \u0641\u0627\u0635\u0644\u0647 10 \u0646\u0642\u0637\u0647 \u0631\u0633\u0645 \u06a9\u0646\u06cc\u062f. \u0628\u0627\u0631\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u0631\u0627\u0626\u0647 \u0634\u0648\u062f \u0631\u0627 \u06a9\u0627\u0647\u0634 \u0645\u06cc \u062f\u0647\u062f \u0627\u0645\u0627 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0628\u062f\u0648\u0646 \u062a\u062d\u0631\u06cc\u0641 \u0633\u0627\u062e\u062a\u0627\u0631 \u06a9\u0644\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<h4 id=\"heading-data-aggregation\">\u062a\u062c\u0645\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627<\/h4>\n<p>\u062a\u062c\u0645\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627 \u06cc\u06a9 \u0627\u0633\u062a process \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062c\u0645\u0639\u200c\u0622\u0648\u0631\u06cc\u200c\u0634\u062f\u0647 \u0628\u0647 \u0634\u06a9\u0644 \u0639\u062f\u062f\u06cc \u062f\u0631 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627\u06cc\u06cc \u06af\u0631\u0648\u0647\u200c\u0628\u0646\u062f\u06cc \u0645\u06cc\u200c\u0634\u0648\u0646\u062f \u062a\u0627 \u0628\u0647 \u062c\u062f\u0648\u0644\u200c\u0647\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0627\u062a \u0632\u06cc\u0631 \u06cc\u06a9 \u06a9\u0644\u0627\u0633 \u0645\u0639\u06cc\u0646 \u0628\u0631\u0633\u0646\u062f.<\/p>\n<pre><code class=\"lang-python\"><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\n<span class=\"hljs-comment\"># Generate large dataset<\/span>\nx_huge = np.linspace(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">100<\/span>, <span class=\"hljs-number\">10000<\/span>)\ny_huge = np.sin(x_huge) + np.random.normal(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">0.1<\/span>, size=x_huge.shape)\n\n<span class=\"hljs-comment\"># Aggregate the data into bins<\/span>\nbins = np.linspace(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">100<\/span>, <span class=\"hljs-number\">100<\/span>)\ny_aggregated = [np.mean(y_huge[(x_huge &gt;= bins[i]) &amp; (x_huge &lt; bins[i+<span class=\"hljs-number\">1<\/span>])]) <span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> range(len(bins)<span class=\"hljs-number\">-1<\/span>)]\n\nplt.plot(bins[:<span class=\"hljs-number\">-1<\/span>], y_aggregated)\nplt.title(<span class=\"hljs-string\">\"Aggregated Plot\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Average Y\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/696c2a72-64d8-4dd1-97ad-217979f91707.png\" alt=\"\u062a\u0635\u0648\u06cc\u0631 \u0637\u0631\u062d \u062a\u062c\u0645\u06cc\u0639 \u0634\u062f\u0647\" width=\"576\" height=\"446\" loading=\"lazy\" title=\"\"><\/p>\n<p>\u0627\u06cc\u0646 process \u062a\u0639\u062f\u0627\u062f \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0631\u0627 \u06a9\u0627\u0647\u0634 \u0645\u06cc \u062f\u0647\u062f \u0648 \u062e\u0648\u0627\u0646\u062f\u0646 \u0648 \u062a\u0641\u0633\u06cc\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u0631\u0627 \u0622\u0633\u0627\u0646 \u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u062f\u0631 \u0639\u06cc\u0646 \u062d\u0627\u0644 \u0631\u0648\u0646\u062f \u06a9\u0644\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0631\u0627 \u062b\u0628\u062a \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<h3 id=\"heading-statistical-data-visualization\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%ac%d8%b3%d9%85_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d8%a2%d9%85%d8%a7%d8%b1%db%8c\"><\/span>\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u0628\u0631\u0627\u06cc \u062e\u0644\u0627\u0635\u0647 \u06a9\u0631\u062f\u0646 \u0648 \u062f\u0631\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0645\u0641\u06cc\u062f \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0622\u0646\u0647\u0627 \u0634\u0627\u0645\u0644 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<h4 id=\"heading-box-plots\">\u062a\u0648\u0637\u0626\u0647 \u0647\u0627\u06cc \u062c\u0639\u0628\u0647<\/h4>\n<p>\u0628\u0631 \u0627\u0633\u0627\u0633 \u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0646\u0645\u0627\u06cc\u0634 \u0645\u06cc \u062f\u0647\u062f \u0631\u0648\u06cc \u06cc\u06a9 \u062e\u0644\u0627\u0635\u0647 \u067e\u0646\u062c \u0639\u062f\u062f\u06cc: \u062d\u062f\u0627\u0642\u0644\u060c \u0686\u0627\u0631\u06a9 \u0627\u0648\u0644\u060c \u0645\u06cc\u0627\u0646\u0647\u060c \u0686\u0627\u0631\u06a9 \u0633\u0648\u0645 \u0648 \u062d\u062f\u0627\u06a9\u062b\u0631.<\/p>\n<pre><code class=\"lang-python\"><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\n<span class=\"hljs-comment\"># Generate random data<\/span>\ndata = np.random.randn(<span class=\"hljs-number\">1000<\/span>)\nplt.boxplot(data)\nplt.title(<span class=\"hljs-string\">\"Box Plot\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Values\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/ddfa3387-8aa7-47ba-af4b-31faef782c32.png\" alt=\"\u0646\u0645\u0627\u06cc\u0634 \u0637\u0631\u062d \u062c\u0639\u0628\u0647\" width=\"576\" height=\"443\" loading=\"lazy\" title=\"\"><\/p>\n<p>\u0622\u0646\u0647\u0627 \u0628\u0647 \u0648\u06cc\u0698\u0647 \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0646\u0642\u0627\u0637 \u067e\u0631\u062a \u0645\u0648\u0642\u0639\u06cc\u062a\u06cc \u0648 \u0645\u0642\u0627\u06cc\u0633\u0647 \u067e\u0631\u0627\u06a9\u0646\u062f\u06af\u06cc \u0648 \u062a\u0642\u0627\u0631\u0646 \u062f\u0648 \u0645\u062a\u063a\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f.<\/p>\n<h4 id=\"heading-violin-plot\">\u0637\u0631\u062d \u0648\u06cc\u0648\u0644\u0646<\/h4>\n<p>\u0627\u0632 \u0646\u0645\u0648\u062f\u0627\u0631 \u062c\u0639\u0628\u0647 \u0627\u06cc \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0646\u0645\u0648\u062f\u0627\u0631 \u0686\u06af\u0627\u0644\u06cc \u0628\u0631\u0627\u06cc \u0627\u0631\u0627\u0626\u0647 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062e\u0627\u0635 \u062a\u0631 \u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u0648\u0632\u06cc\u0639 \u0627\u0631\u0632\u0634 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<pre><code class=\"lang-python\"><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\n<span class=\"hljs-comment\"># Generate random data<\/span>\ndata = np.random.randn(<span class=\"hljs-number\">1000<\/span>)\nplt.violinplot(data)\nplt.title(<span class=\"hljs-string\">\"Violin Plot\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Values\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/4b2e08a7-68ab-4060-ab6b-c925eb4e38e4.png\" alt=\"\u0646\u0645\u0627\u06cc\u0634 \u0637\u0631\u062d \u0648\u06cc\u0648\u0644\u0646\" width=\"576\" height=\"445\" loading=\"lazy\" title=\"\"><\/p>\n<p>\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0646\u0645\u0627\u06cc\u0634 \u062a\u0648\u0632\u06cc\u0639 \u06a9\u0627\u0645\u0644 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0632 \u0637\u0631\u062d \u0647\u0627\u06cc \u0648\u06cc\u0648\u0644\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.<\/p>\n<h2 id=\"heading-common-visualization-pitfalls-and-how-to-avoid-them\"><span class=\"ez-toc-section\" id=\"%d8%aa%d9%84%d9%87%e2%80%8c%d9%87%d8%a7%db%8c_%d9%85%d8%aa%d8%af%d8%a7%d9%88%d9%84_%d8%aa%d8%ac%d8%b3%d9%85_%d9%88_%d8%b1%d9%88%d8%b4_%d8%a7%d8%ac%d8%aa%d9%86%d8%a7%d8%a8_%d8%a7%d8%b2_%d8%a2%d9%86%d9%87%d8%a7\"><\/span>\u062a\u0644\u0647\u200c\u0647\u0627\u06cc \u0645\u062a\u062f\u0627\u0648\u0644 \u062a\u062c\u0633\u0645 \u0648 \u0631\u0648\u0634 \u0627\u062c\u062a\u0646\u0627\u0628 \u0627\u0632 \u0622\u0646\u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"heading-overplotting\"><span class=\"ez-toc-section\" id=\"%d8%a8%db%8c%d8%b4_%d8%a7%d8%b2_%d8%ad%d8%af_%d8%aa%d9%88%d8%b7%d8%a6%d9%87\"><\/span>\u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u062a\u0648\u0637\u0626\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0645\u0634\u0627\u0647\u062f\u0627\u062a \u062f\u0631 \u06cc\u06a9 \u067e\u06cc\u0634\u200c\u0632\u0645\u06cc\u0646\u0647 \u0631\u0648\u06cc \u0647\u0645 \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u0646\u062f\u060c \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0628\u06cc\u0634\u200c\u0627\u0632\u062d\u062f \u062a\u0631\u0633\u06cc\u0645 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u06a9\u0647 \u0628\u0627\u0639\u062b \u0622\u0634\u0641\u062a\u06af\u06cc \u0634\u06a9\u0644\u200c\u0647\u0627 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0646\u0642\u0627\u0637 \u06cc\u0627 \u0627\u0644\u06af\u0648\u0647\u0627 \u0645\u0628\u0647\u0645 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f. \u0627\u06cc\u0646 \u0627\u0645\u0631 \u0628\u0647 \u0648\u06cc\u0698\u0647 \u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u067e\u0631\u0627\u06a9\u0646\u062f\u0647 \u06cc\u0627 \u062e\u0637\u0648\u0637 \u062e\u0637\u06cc \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0631\u0627\u06cc\u062c \u0627\u0633\u062a.<\/p>\n<pre><code class=\"lang-python\"><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\n<span class=\"hljs-comment\"># Generate large dataset<\/span>\nx = np.random.rand(<span class=\"hljs-number\">10000<\/span>)\ny = np.random.rand(<span class=\"hljs-number\">10000<\/span>)\n\n<span class=\"hljs-comment\"># Plot without transparency (over-plotting)<\/span>\nplt.scatter(x, y)\nplt.title(<span class=\"hljs-string\">\"Scatter Plot with Over-plotting\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Y\"<\/span>)\nplt.show()\n\n<span class=\"hljs-comment\"># Plot with transparency to reduce over-plotting<\/span>\nplt.scatter(x, y, alpha=<span class=\"hljs-number\">0.1<\/span>)  <span class=\"hljs-comment\"># Set alpha for transparency<\/span>\nplt.title(<span class=\"hljs-string\">\"Scatter Plot with Reduced Over-plotting\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Y\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/4de79ed6-6f57-45d3-909b-e2b547a26232.png\" alt=\"\u062a\u0635\u0648\u06cc\u0631\u06cc \u0627\u0632 \u0637\u0631\u062d \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0648 \u06a9\u0627\u0647\u0634 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0637\u0631\u062d\" width=\"363\" height=\"576\" loading=\"lazy\" title=\"\"><\/p>\n<p>\u062f\u0631 \u0637\u0631\u062d \u0627\u0648\u0644\u060c \u0628\u062f\u0648\u0646 \u0634\u0641\u0627\u0641\u06cc\u062a\u060c \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0628\u0647 \u0637\u0648\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0628\u0627 \u0647\u0645 \u0647\u0645\u067e\u0648\u0634\u0627\u0646\u06cc \u062f\u0627\u0631\u0646\u062f \u0648 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0647\u0631 \u06af\u0648\u0646\u0647 \u0627\u0644\u06af\u0648 \u06cc\u0627 \u0646\u0627\u062d\u06cc\u0647 \u0686\u06af\u0627\u0644\u06cc \u0631\u0627 \u062f\u0634\u0648\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f. \u062f\u0631 \u0637\u0631\u062d \u062f\u0648\u0645\u060c \u0634\u0641\u0627\u0641\u06cc\u062a (<code>alpha=0.1<\/code>) \u0631\u0648\u06cc \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0627\u0639\u0645\u0627\u0644 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0628\u0647 \u0646\u0648\u0627\u062d\u06cc \u0645\u062a\u0631\u0627\u06a9\u0645\u200c\u062a\u0631 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc\u200c\u062f\u0647\u062f \u062a\u0627 \u062f\u0631 \u0639\u06cc\u0646 \u06a9\u0627\u0647\u0634 \u0628\u0647\u0645 \u0631\u06cc\u062e\u062a\u06af\u06cc \u0622\u0634\u06a9\u0627\u0631\u062a\u0631 \u0634\u0648\u0646\u062f. \u0627\u06cc\u0646 \u062a\u06a9\u0646\u06cc\u06a9 \u062a\u0641\u0633\u06cc\u0631 \u062a\u0648\u0632\u06cc\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u0631\u0627 \u0622\u0633\u0627\u0646 \u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<h3 id=\"heading-misleading-scales-and-axes\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%b1%d8%a7%d8%b2%d9%88%d9%87%d8%a7_%d9%88_%d9%85%d8%ad%d9%88%d8%b1%d9%87%d8%a7%db%8c_%da%af%d9%85%d8%b1%d8%a7%d9%87_%da%a9%d9%86%d9%86%d8%af%d9%87\"><\/span>\u062a\u0631\u0627\u0632\u0648\u0647\u0627 \u0648 \u0645\u062d\u0648\u0631\u0647\u0627\u06cc \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u06cc \u062a\u0648\u0627\u0646 \u0645\u0642\u06cc\u0627\u0633 \u0647\u0627 \u0648 \u0645\u062d\u0648\u0631\u0647\u0627 \u0631\u0627 \u0628\u0647 \u06af\u0648\u0646\u0647 \u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0631\u062f \u06a9\u0647 \u062a\u0635\u0648\u0631 \u06a9\u0644\u06cc \u0627\u0632 \u0637\u0631\u062d \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u062f. \u0645\u0642\u06cc\u0627\u0633 \u0647\u0627\u06cc \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0627\u0642\u0639\u06cc \u06a9\u0647 \u06cc\u06a9 \u062a\u062d\u0644\u06cc\u0644\u06af\u0631 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u062f \u0631\u0627 \u0628\u0647 \u0647\u0645 \u0645\u06cc \u0632\u0646\u062f \u0648 \u0645\u0646\u062c\u0631 \u0628\u0647 \u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc \u0646\u0627\u062f\u0631\u0633\u062a \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<pre><code class=\"lang-python\"><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\n<span class=\"hljs-comment\"># Generate data<\/span>\nx = np.arange(<span class=\"hljs-number\">10<\/span>)\ny1 = np.random.randint(<span class=\"hljs-number\">50<\/span>, <span class=\"hljs-number\">100<\/span>, size=<span class=\"hljs-number\">10<\/span>)\ny2 = y1 + np.random.randint(<span class=\"hljs-number\">-5<\/span>, <span class=\"hljs-number\">5<\/span>, size=<span class=\"hljs-number\">10<\/span>)\n\n<span class=\"hljs-comment\"># Plot with truncated y-axis<\/span>\nplt.plot(x, y1, label=<span class=\"hljs-string\">'Data 1'<\/span>)\nplt.plot(x, y2, label=<span class=\"hljs-string\">'Data 2'<\/span>)\nplt.ylim(<span class=\"hljs-number\">90<\/span>, <span class=\"hljs-number\">100<\/span>)  <span class=\"hljs-comment\"># Truncated y-axis<\/span>\nplt.title(<span class=\"hljs-string\">\"Plot with Truncated Y-Axis\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Y\"<\/span>)\nplt.legend()\nplt.show()\n\n<span class=\"hljs-comment\"># Plot with full y-axis<\/span>\nplt.plot(x, y1, label=<span class=\"hljs-string\">'Data 1'<\/span>)\nplt.plot(x, y2, label=<span class=\"hljs-string\">'Data 2'<\/span>)\nplt.title(<span class=\"hljs-string\">\"Plot with Full Y-Axis\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Y\"<\/span>)\nplt.legend()\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/e257fe37-1b47-4ed4-82fd-5c2e9a458202.png\" alt=\"\u0645\u062d\u0648\u0631 Y \u06a9\u0648\u062a\u0627\u0647 \u062f\u0631 \u0645\u0642\u0627\u0628\u0644 \u0645\u062d\u0648\u0631 Y \u06a9\u0627\u0645\u0644\" width=\"364\" height=\"576\" loading=\"lazy\" title=\"\"><\/p>\n<p>\u0622\u0646\u0686\u0647 \u0627\u0632 \u0646\u0645\u0648\u062f\u0627\u0631 \u0627\u0648\u0644 \u0645\u06cc \u062a\u0648\u0627\u0646 \u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u06a9\u0631\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u062d\u062f\u0648\u062f\u0647 \u0645\u062d\u0648\u0631 y \u062b\u0627\u0628\u062a \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0646\u0645\u0648\u062f\u0627\u0631\u06cc \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u06a9\u0627\u0645\u0644\u0627 \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647 \u0627\u0633\u062a. \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0648\u0645 \u0627\u0632 \u0645\u062d\u0648\u0631 \u06a9\u0627\u0645\u0644 y \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0642\u06cc\u0642 \u062a\u0631\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<h3 id=\"heading-color-misuse\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d9%86%d8%a7%d8%af%d8%b1%d8%b3%d8%aa_%d8%a7%d8%b2_%d8%b1%d9%86%da%af\"><\/span>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u0627\u062f\u0631\u0633\u062a \u0627\u0632 \u0631\u0646\u06af<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u067e\u06cc\u0648\u0646\u062f \u062a\u0627 \u062d\u062f\u06cc \u0636\u0639\u06cc\u0641 \u062f\u0631 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0631\u0648\u0634 \u0627\u0646\u062a\u062e\u0627\u0628 \u0631\u0646\u06af \u0647\u0627 \u0648 \u0627\u063a\u0644\u0628 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u0627\u062f\u0631\u0633\u062a \u0627\u0633\u062a. \u0645\u0633\u0627\u0626\u0644 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u062a\u0636\u0627\u062f \u06a9\u0645\u060c \u0627\u0646\u062a\u062e\u0627\u0628 \u0631\u0646\u06af\u200c\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0627\u0641\u0631\u0627\u062f \u06a9\u0648\u0631\u0631\u0646\u06af \u0646\u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u0646\u062f \u0622\u0646\u200c\u0647\u0627 \u0631\u0627 \u0645\u062a\u0645\u0627\u06cc\u0632 \u06a9\u0646\u0646\u062f\u060c \u0648 \u0627\u06cc\u062c\u0627\u062f \u0627\u0647\u0645\u06cc\u062a \u0631\u0646\u06af \u062f\u0631 \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f.<\/p>\n<pre><code class=\"lang-python\"><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\n<span class=\"hljs-comment\"># Generate data<\/span>\nx = np.linspace(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">100<\/span>)\ny1 = np.sin(x)\ny2 = np.cos(x)\n\n<span class=\"hljs-comment\"># Plot with non-colorblind-friendly palette<\/span>\nplt.plot(x, y1, color=<span class=\"hljs-string\">'red'<\/span>, label=<span class=\"hljs-string\">'sin(x)'<\/span>)\nplt.plot(x, y2, color=<span class=\"hljs-string\">'green'<\/span>, label=<span class=\"hljs-string\">'cos(x)'<\/span>)\nplt.title(<span class=\"hljs-string\">\"Plot with Non-Colorblind-Friendly Colors\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Y\"<\/span>)\nplt.legend()\nplt.show()\n\n<span class=\"hljs-comment\"># Plot with colorblind-friendly palette<\/span>\nplt.plot(x, y1, color=<span class=\"hljs-string\">'#0072B2'<\/span>, label=<span class=\"hljs-string\">'sin(x)'<\/span>)  <span class=\"hljs-comment\"># Blue<\/span>\nplt.plot(x, y2, color=<span class=\"hljs-string\">'#D55E00'<\/span>, label=<span class=\"hljs-string\">'cos(x)'<\/span>)  <span class=\"hljs-comment\"># Orange<\/span>\nplt.title(<span class=\"hljs-string\">\"Plot with Colorblind-Friendly Colors\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Y\"<\/span>)\nplt.legend()\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/9dc47d8a-9d2a-4982-9185-29e76014f9c5.png\" alt=\"\u062a\u0635\u0648\u06cc\u0631\u06cc \u06a9\u0647 \u0627\u0647\u0645\u06cc\u062a \u0631\u0646\u06af \u0631\u0627 \u0628\u0631\u062c\u0633\u062a\u0647 \u0645\u06cc \u06a9\u0646\u062f\" width=\"376\" height=\"576\" loading=\"lazy\" title=\"\"><\/p>\n<p>\u0637\u0631\u062d \u0627\u0648\u0644 \u0627\u0632 \u0642\u0631\u0645\u0632 \u0648 \u0633\u0628\u0632 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u0627\u0646\u06cc \u06a9\u0647 \u06a9\u0648\u0631\u0631\u0646\u06af\u06cc \u0642\u0631\u0645\u0632-\u0633\u0628\u0632 \u062f\u0627\u0631\u0646\u062f \u0628\u0633\u06cc\u0627\u0631 \u062f\u0634\u0648\u0627\u0631 \u0627\u0633\u062a. \u0637\u0631\u062d \u062f\u0648\u0645 \u0627\u0632 \u06cc\u06a9 \u067e\u0627\u0644\u062a \u062f\u0648\u0633\u062a\u062f\u0627\u0631 \u0648\u0628 \u06a9\u0648\u0631\u0631\u0646\u06af \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u0634\u0648\u062f \u06a9\u0647 \u0647\u0645\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0637\u0631\u062d \u0631\u0627 \u0628\u062f\u0648\u0646 \u06af\u06cc\u062c \u0634\u062f\u0646 \u062a\u0648\u0633\u0637 \u0631\u0646\u06af \u0647\u0627 \u062f\u0631\u06a9 \u06a9\u0646\u0646\u062f.<\/p>\n<h3 id=\"heading-misleading-use-of-3d-plots\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%da%af%d9%85%d8%b1%d8%a7%d9%87_%da%a9%d9%86%d9%86%d8%af%d9%87_%d8%a7%d8%b2_%d9%86%d9%82%d8%b4%d9%87_%d9%87%d8%a7%db%8c_%d8%b3%d9%87_%d8%a8%d8%b9%d8%af%db%8c\"><\/span>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647 \u0627\u0632 \u0646\u0642\u0634\u0647 \u0647\u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0637\u0631\u062d \u0647\u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0627\u0632 \u0646\u0638\u0631 \u0628\u0635\u0631\u06cc \u062c\u0630\u0627\u0628 \u0628\u0627\u0634\u0646\u062f\u060c \u0627\u0645\u0627 \u0627\u063a\u0644\u0628 \u067e\u06cc\u0686\u06cc\u062f\u06af\u06cc \u0647\u0627\u06cc \u063a\u06cc\u0631 \u0636\u0631\u0648\u0631\u06cc \u0631\u0627 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f \u0648 \u062f\u0631 \u0635\u0648\u0631\u062a \u0639\u062f\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u0646\u0627\u0633\u0628\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647 \u0628\u0627\u0634\u0646\u062f. \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0628\u0639\u062f \u0633\u0648\u0645 \u0648\u0627\u0642\u0639\u0627\u064b \u0628\u0647 \u062a\u062c\u0633\u0645 \u0627\u0631\u0632\u0634 \u0645\u06cc\u200c\u0627\u0641\u0632\u0627\u06cc\u062f\u060c \u0645\u0624\u062b\u0631\u062a\u0631 \u0647\u0633\u062a\u0646\u062f\u060c \u0645\u0627\u0646\u0646\u062f \u0647\u0646\u06af\u0627\u0645 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0686\u0646\u062f \u0645\u062a\u063a\u06cc\u0631\u0647. \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc\u060c \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0631\u0627 \u06a9\u0645\u06cc \u062f\u0634\u0648\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<pre><code class=\"lang-python\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">from<\/span> mpl_toolkits.mplot3d <span class=\"hljs-keyword\">import<\/span> Axes3D\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\n<span class=\"hljs-comment\"># Generate data<\/span>\nx = np.linspace(<span class=\"hljs-number\">-5<\/span>, <span class=\"hljs-number\">5<\/span>, <span class=\"hljs-number\">100<\/span>)\ny = np.linspace(<span class=\"hljs-number\">-5<\/span>, <span class=\"hljs-number\">5<\/span>, <span class=\"hljs-number\">100<\/span>)\nX, Y = np.meshgrid(x, y)\nZ = np.sin(np.sqrt(X**<span class=\"hljs-number\">2<\/span> + Y**<span class=\"hljs-number\">2<\/span>))\n\n<span class=\"hljs-comment\"># 3D plot<\/span>\nfig = plt.figure()\nax = fig.add_subplot(<span class=\"hljs-number\">111<\/span>, projection=<span class=\"hljs-string\">'3d'<\/span>)\nax.plot_surface(X, Y, Z, cmap=<span class=\"hljs-string\">'viridis'<\/span>)\nplt.title(<span class=\"hljs-string\">\"3D Plot\"<\/span>)\nplt.show()\n\n<span class=\"hljs-comment\"># 2D contour plot<\/span>\nplt.contourf(X, Y, Z, cmap=<span class=\"hljs-string\">'viridis'<\/span>)\nplt.colorbar(label=<span class=\"hljs-string\">'Z value'<\/span>)\nplt.title(<span class=\"hljs-string\">\"2D Contour Plot\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Y\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/965da133-cfb7-4db4-bbbc-c98d7271bd82.png\" alt=\"\u0637\u0631\u062d \u0633\u0647 \u0628\u0639\u062f\u06cc \u062f\u0631 \u0645\u0642\u0627\u0628\u0644 \u0637\u0631\u062d \u06a9\u0627\u0646\u062a\u0648\u0631 \u062f\u0648 \u0628\u0639\u062f\u06cc\" width=\"388\" height=\"576\" loading=\"lazy\" title=\"\"><\/p>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631 \u0633\u0647 \u0628\u0639\u062f\u06cc \u0628\u0647 \u062a\u0631\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u0633\u0647 \u0628\u0639\u062f\u06cc \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f\u060c \u0627\u0645\u0627 \u062f\u0631\u06a9 \u062a\u0641\u0627\u0648\u062a \u0627\u0631\u062a\u0641\u0627\u0639 \u062f\u0642\u06cc\u0642 \u0645\u0646\u0627\u0637\u0642 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u067e\u0631\u0633\u067e\u06a9\u062a\u06cc\u0648 \u0622\u0633\u0627\u0646 \u0646\u06cc\u0633\u062a. \u0646\u0645\u0648\u062f\u0627\u0631 \u06a9\u0627\u0646\u062a\u0648\u0631 \u062f\u0648\u0628\u0639\u062f\u06cc\u060c \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0627\u0632 \u0631\u0646\u06af\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0628\u0631\u0627\u06cc \u0627\u0646\u0639\u06a9\u0627\u0633 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0627\u0628\u0639\u0627\u062f (\u0645\u0642\u0627\u062f\u06cc\u0631 Z) \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u0646\u0627\u0637\u0642 \u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u0631\u0627 \u0622\u0633\u0627\u0646\u200c\u062a\u0631 \u0648 \u062f\u0642\u06cc\u0642\u200c\u062a\u0631 \u0645\u06cc\u200c\u06a9\u0646\u062f. \u062f\u0631 \u0627\u063a\u0644\u0628 \u0645\u0648\u0627\u0631\u062f\u060c \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u062f\u0648 \u0628\u0639\u062f\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u062f\u0647 \u062f\u0631 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 \u0637\u0631\u062d \u0647\u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc\u060c \u0646\u0645\u0627\u06cc\u0634 \u0628\u0647\u062a\u0631\u06cc \u062f\u0627\u0631\u0646\u062f \u0648 \u062f\u0631\u06a9 \u0622\u0646 \u0622\u0633\u0627\u0646 \u062a\u0631 \u0627\u0633\u062a.<\/p>\n<h3 id=\"heading-misleading-use-of-area-charts\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%da%af%d9%85%d8%b1%d8%a7%d9%87_%da%a9%d9%86%d9%86%d8%af%d9%87_%d8%a7%d8%b2_%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1%d9%87%d8%a7%db%8c_%d9%85%d9%86%d8%b7%d9%82%d9%87\"><\/span>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06af\u0645\u0631\u0627\u0647 \u06a9\u0646\u0646\u062f\u0647 \u0627\u0632 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u0646\u0637\u0642\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u0633\u0627\u062d\u062a\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0647 \u0637\u0648\u0631 \u0645\u0648\u062b\u0631 \u0631\u0648\u0646\u062f\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0637\u0648\u0644 \u0632\u0645\u0627\u0646 \u06cc\u0627 \u062a\u0648\u0632\u06cc\u0639 \u06cc\u06a9 \u06a9\u0644 \u0628\u0647 \u0642\u0637\u0639\u0627\u062a \u0631\u0627 \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f. \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0627\u06af\u0631 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0645\u0646\u0627\u0637\u0642 \u0647\u0645\u062f\u06cc\u06af\u0631 \u0631\u0627 \u0642\u0637\u0639 \u06a9\u0646\u0646\u062f \u06cc\u0627 \u0637\u0631\u062d \u0627\u0646\u0628\u0627\u0634\u062a \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u0634\u062e\u0635 \u0646\u0628\u0627\u0634\u062f\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06af\u06cc\u062c \u06a9\u0646\u0646\u062f\u0647 \u0628\u0627\u0634\u0646\u062f.<\/p>\n<pre><code class=\"lang-python\"><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\n<span class=\"hljs-comment\"># Generate data<\/span>\nx = np.arange(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">1<\/span>)\ny1 = np.array([<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">4<\/span>, <span class=\"hljs-number\">5<\/span>, <span class=\"hljs-number\">6<\/span>, <span class=\"hljs-number\">7<\/span>, <span class=\"hljs-number\">8<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">10<\/span>])\ny2 = np.array([<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">5<\/span>, <span class=\"hljs-number\">4<\/span>, <span class=\"hljs-number\">6<\/span>, <span class=\"hljs-number\">5<\/span>, <span class=\"hljs-number\">7<\/span>, <span class=\"hljs-number\">6<\/span>, <span class=\"hljs-number\">8<\/span>])\n\n<span class=\"hljs-comment\"># Stacked area chart (potentially misleading)<\/span>\nplt.fill_between(x, y1, color=<span class=\"hljs-string\">'skyblue'<\/span>, alpha=<span class=\"hljs-number\">0.5<\/span>)\nplt.fill_between(x, y2, color=<span class=\"hljs-string\">'orange'<\/span>, alpha=<span class=\"hljs-number\">0.5<\/span>)\nplt.title(<span class=\"hljs-string\">\"Misleading Stacked Area Chart\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Y\"<\/span>)\nplt.show()\n\n<span class=\"hljs-comment\"># Improved area chart with non-overlapping areas<\/span>\nplt.fill_between(x, y1, color=<span class=\"hljs-string\">'skyblue'<\/span>, alpha=<span class=\"hljs-number\">0.5<\/span>)\nplt.fill_between(x, y1 + y2, y1, color=<span class=\"hljs-string\">'orange'<\/span>, alpha=<span class=\"hljs-number\">0.5<\/span>)\nplt.title(<span class=\"hljs-string\">\"Improved Stacked Area Chart\"<\/span>)\nplt.xlabel(<span class=\"hljs-string\">\"X\"<\/span>)\nplt.ylabel(<span class=\"hljs-string\">\"Y\"<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegaar.com\/blog\/wp-content\/uploads\/2024\/10\/d5e4bea1-713f-4e75-9cd7-b8e3a15f6331.png\" alt=\"\u0646\u0645\u0627\u06cc\u0634\u06cc \u0627\u0632 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u0646\u0637\u0642\u0647\" width=\"372\" height=\"576\" loading=\"lazy\" title=\"\"><\/p>\n<p>\u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u0646\u0637\u0642\u0647 \u0627\u0648\u0644\u060c \u0646\u0648\u0627\u062d\u06cc \u0628\u0627 \u0647\u0645 \u0647\u0645\u067e\u0648\u0634\u0627\u0646\u06cc \u062f\u0627\u0631\u0646\u062f\u060c \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062f\u0631 \u0645\u0648\u0631\u062f \u0633\u0647\u0645 \u0647\u0631 \u062f\u0633\u062a\u0647 \u062f\u0631 \u06a9\u0644\u060c \u0633\u0631\u062f\u0631\u06af\u0645\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u062f. \u0637\u0631\u062d \u062f\u0648\u0645 \u0628\u0627 \u0686\u06cc\u062f\u0646 \u0646\u0648\u0627\u062d\u06cc \u0648\u0636\u0648\u062d \u0631\u0627 \u0628\u0647\u0628\u0648\u062f \u0645\u06cc \u0628\u062e\u0634\u062f \u0631\u0648\u06cc \u0631\u0648\u06cc \u06cc\u06a9\u062f\u06cc\u06af\u0631 \u0628\u062f\u0648\u0646 \u0647\u0645\u067e\u0648\u0634\u0627\u0646\u06cc\u060c \u0628\u0647 \u0648\u0636\u0648\u062d \u0645\u0627\u0647\u06cc\u062a \u062a\u062c\u0645\u0639\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<h2 id=\"heading-conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87_%da%af%db%8c%d8%b1%db%8c\"><\/span>\u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0627 Matplotlib\u060c \u06cc\u06a9\u06cc \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631\u06cc \u0628\u0631\u0627\u06cc \u062d\u0644 \u0645\u0634\u06a9\u0644\u0627\u062a \u0628\u0635\u0631\u06cc \u062e\u0627\u0635 \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a. \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u062e\u0637\u06cc\u060c \u0645\u062f\u06cc\u0631\u06cc\u062a \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647\u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af\u060c \u0627\u06cc\u062c\u0627\u062f \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u062a\u062d\u0631\u06a9 \u0648 \u063a\u06cc\u0631\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f. \u0631\u0648\u06cc.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627\u060c \u0645\u0627 \u062c\u0646\u0628\u0647\u200c\u0647\u0627\u06cc \u0645\u0647\u0645 Matplotlib \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 \u0648 \u0633\u0639\u06cc \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 \u0622\u0646\u200c\u0647\u0627 \u0631\u0627 \u0628\u0647 \u062d\u0644 \u0645\u0634\u06a9\u0644\u0627\u062a \u0648\u0627\u0642\u0639\u06cc \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc \u0631\u0648\u0632\u0627\u0646\u0647 \u062e\u0648\u062f \u0628\u0627 \u0622\u0646\u200c\u0647\u0627 \u0645\u0648\u0627\u062c\u0647 \u0634\u0648\u06cc\u062f\u060c \u0646\u0632\u062f\u06cc\u06a9\u200c\u062a\u0631 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u062f\u0642\u06cc\u0642\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627 \u06af\u0646\u062c\u0627\u0646\u062f\u0647 \u0627\u06cc\u0645. \u062f\u0631 \u0647\u0631 \u0638\u0631\u0641\u06cc\u062a\u06cc \u06a9\u0647 \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631\u06af\u06cc\u0631 \u0647\u0633\u062a\u06cc\u062f\u060c \u0686\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u062f\u0627\u0646\u0634\u0645\u0646\u062f \u062f\u0627\u062f\u0647\u060c \u0645\u0647\u0646\u062f\u0633 \u06cc\u0627 \u062a\u062d\u0644\u06cc\u0644\u06af\u0631\u060c Matplotlib \u0634\u0645\u0627 \u0631\u0627 \u0642\u0627\u062f\u0631 \u0645\u06cc \u0633\u0627\u0632\u062f \u062a\u0627 \u0631\u0648\u0627\u06cc\u062a \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0634\u06a9\u0644 \u0645\u0645\u06a9\u0646 \u0628\u06cc\u0627\u0646 \u06a9\u0646\u06cc\u062f.<\/p>\n<\/section>\n<p><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-10-08 18:44:12<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;18217&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;\u0686\u06af\u0648\u0646\u0647 \u0628\u0627 Matplotlib \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645 - \u0628\u0627 \u0645\u062b\u0627\u0644 \u0647\u0627\u06cc \u06a9\u062f \u0648 \u062a\u062c\u0633\u0645&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\"> 11<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0631\u0627\u062d\u0644 \u06a9\u0644\u06cc\u062f\u06cc \u062f\u0631 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u060c \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0627\u0633\u062a\u060c \u0632\u06cc\u0631\u0627 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u060c \u06af\u0631\u0627\u06cc\u0634\u200c\u0647\u0627 \u0648 \u0627\u0644\u06af\u0648\u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0631 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062e\u0627\u0645 \u0622\u0634\u06a9\u0627\u0631 \u0646\u0628\u0627\u0634\u0646\u062f\u060c \u0645\u062a\u0648\u062c\u0647 \u0634\u0648\u06cc\u062f. Matplotlib \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0648\u062b\u0631\u062a\u0631\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u0648 \u0627\u0645\u06a9\u0627\u0646 \u062a\u0631\u0633\u06cc\u0645 \u06af\u0631\u0627\u0641\u06cc\u06a9 \u0647\u0627\u06cc \u062b\u0627\u0628\u062a\u060c \u0645\u062a\u062d\u0631\u06a9 \u0648 \u062a\u0639\u0627\u0645\u0644\u06cc \u0631\u0627 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f. [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":18218,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743],"tags":[2414,1844,1926,1779,2421,1959,1822,2001,1755,2015,2552,1788,1809,1745,1785],"class_list":["post-18217","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-matplotlib","tag-1844","tag-1926","tag-1779","tag-2421","tag-1959","tag-1822","tag---python","tag-1755","tag-2015","tag-2552","tag-1788","tag-1809","tag-1745","tag-1785"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/18217","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\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=18217"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/18217\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/18218"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=18217"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=18217"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=18217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}