{"id":16550,"date":"2024-01-26T20:48:15","date_gmt":"2024-01-26T17:18:15","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/"},"modified":"2024-01-26T20:48:15","modified_gmt":"2024-01-26T17:18:15","slug":"%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/","title":{"rendered":"\u0645\u0642\u062f\u0645\u0647 \u0627\u06cc \u06a9\u0648\u062a\u0627\u0647 \u0628\u0631 matplotlib \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_87 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/#%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\" >\u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/#%d9%88%d8%a7%d8%b1%d8%af%d8%a7%d8%aa_%d9%88_%d9%85%d8%ad%db%8c%d8%b7_%d8%b2%db%8c%d8%b3%d8%aa\" >\u0648\u0627\u0631\u062f\u0627\u062a \u0648 \u0645\u062d\u06cc\u0637 \u0632\u06cc\u0633\u062a<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/#%d8%b7%d8%b1%d8%ad_%db%8c%da%a9_%d8%b7%d8%b1%d8%ad_%d9%be%d8%b1%d8%a7%da%a9%d9%86%d8%af%d9%87\" >\u0637\u0631\u062d \u06cc\u06a9 \u0637\u0631\u062d \u067e\u0631\u0627\u06a9\u0646\u062f\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/#%d8%a7%d8%b6%d8%a7%d9%81%d9%87_%da%a9%d8%b1%d8%af%d9%86_%db%8c%da%a9_%d8%ae%d8%b7\" >\u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u06cc\u06a9 \u062e\u0637<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/#%d8%aa%d8%b1%d8%b3%db%8c%d9%85_%d9%87%db%8c%d8%b3%d8%aa%d9%88%da%af%d8%b1%d8%a7%d9%85_%d9%87%d8%a7\" >\u062a\u0631\u0633\u06cc\u0645 \u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/#%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1_%d9%85%db%8c%d9%84%d9%87\" >\u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u06cc\u0644\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/#%d8%aa%d8%b1%d8%b3%db%8c%d9%85_%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1\" >\u062a\u0631\u0633\u06cc\u0645 \u062a\u0635\u0627\u0648\u06cc\u0631<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/rasanegaar.com\/blog\/%d9%85%d9%82%d8%af%d9%85%d9%87-%d8%a7%db%8c-%da%a9%d9%88%d8%aa%d8%a7%d9%87-%d8%a8%d8%b1-matplotlib-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b3%d9%85-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87\" >\u0646\u062a\u06cc\u062c\u0647<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 4<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u067e\u0627\u06cc\u062a\u0648\u0646 \u0637\u06cc\u0641 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0628\u0633\u062a\u0647 \u0647\u0627\u06cc \u0645\u0641\u06cc\u062f \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0622\u0645\u0627\u0631\u06cc \u0645\u0627\u0646\u0646\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.tensorflow.org\/\" class=\"broken_link\">TensorFlow<\/a>\u060c <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/www.numpy.org\/\">NumPy<\/a>\u060c <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/scikit-learn.org\/stable\/\">scikit-\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc<\/a>\u060c <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/pandas.pydata.org\/\">\u067e\u0627\u0646\u062f\u0627\u0647\u0627<\/a>\u060c \u0648 \u0628\u06cc\u0634\u062a\u0631.  \u06cc\u06a9\u06cc \u0627\u0632 \u0628\u0633\u062a\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u06a9\u062b\u0631 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a \u0627\u06cc\u0646 \u0627\u0633\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/matplotlib.org\/\">matplotlib<\/a>.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0647\u0631 \u062a\u0648\u0632\u06cc\u0639 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0648\u062c\u0648\u062f \u0627\u0633\u062a\u060c \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0631\u062f \u0631\u0648\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 3 \u0628\u0627 <code>pip<\/code>.  \u0631\u0648\u0634 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u0646\u06cc\u0632 \u0645\u0648\u062c\u0648\u062f \u0627\u0633\u062a\u060c \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/matplotlib.org\/\">https:\/\/matplotlib.org\/<\/a> \u0628\u0631\u0627\u06cc \u062c\u0632\u0626\u06cc\u0627\u062a \u0628\u06cc\u0634\u062a\u0631<\/p>\n<h2 id=\"installation\"><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><\/h2>\n<p>\u0627\u06af\u0631 \u0627\u0632 \u0633\u06cc\u0633\u062a\u0645 \u0639\u0627\u0645\u0644\u06cc \u0628\u0627 a terminal\u060c \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 matplotlib \u0631\u0627 \u0628\u0627 \u0622\u0646 \u0646\u0635\u0628 \u0645\u06cc \u06a9\u0646\u062f pip:<\/p>\n<pre><code class=\"hljs\">$ python3 -m pip install matplotlib\n<\/code><\/pre>\n<h2 id=\"importingenvironment\"><span class=\"ez-toc-section\" id=\"%d9%88%d8%a7%d8%b1%d8%af%d8%a7%d8%aa_%d9%88_%d9%85%d8%ad%db%8c%d8%b7_%d8%b2%db%8c%d8%b3%d8%aa\"><\/span>\u0648\u0627\u0631\u062f\u0627\u062a \u0648 \u0645\u062d\u06cc\u0637 \u0632\u06cc\u0633\u062a<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u067e\u0627\u06cc\u062a\u0648\u0646\u060c \u0645\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 import \u0631\u0627 <code>pyplot<\/code> \u062a\u0627\u0628\u0639\u06cc \u06a9\u0647 \u0628\u0647 \u0645\u0627 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u0628\u0627 \u06cc\u06a9 \u0645\u062d\u06cc\u0637 \u062a\u0631\u0633\u06cc\u0645 \u0645\u0627\u0646\u0646\u062f MATLAB \u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u0631\u0642\u0631\u0627\u0631 \u06a9\u0646\u06cc\u0645.  \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 import \u0622 <code>lines<\/code> \u062a\u0627\u0628\u0639\u06cc \u06a9\u0647 \u0628\u0647 \u0645\u0627 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u062e\u0637\u0648\u0637\u06cc \u0631\u0627 \u0628\u0647 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> matplotlib.lines <span class=\"hljs-keyword\">as<\/span> mlines\n<\/code><\/pre>\n<p>\u0627\u0633\u0627\u0633\u0627\u064b\u060c \u0627\u06cc\u0646 \u0645\u062d\u06cc\u0637 \u0631\u0633\u0645 \u0628\u0647 \u0645\u0627 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u062a\u0627 \u0627\u0631\u0642\u0627\u0645 \u0648 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062a\u063a\u06cc\u0631 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u0645.  \u0633\u067e\u0633 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u06cc\u0646 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0631\u0627 \u0628\u0627 \u06cc\u06a9 \u062f\u0633\u062a\u0648\u0631 \u0633\u0627\u062f\u0647 \u0686\u0627\u067e \u0648 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0631\u062f.  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u06af\u0648\u06af\u0644 \u0646\u06af\u0627\u0647\u06cc \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645: \u0628\u0647 \u0637\u0648\u0631 \u062e\u0627\u0635 <em>\u062a\u0627\u0631\u06cc\u062e<\/em>\u060c <em>\u0628\u0627\u0632 \u06a9\u0646<\/em>\u060c <em>\u0628\u0633\u062a\u0646<\/em>\u060c <em>\u062c\u0644\u062f<\/em>\u060c \u0648 <em>\u0642\u06cc\u0645\u062a \u0628\u0633\u062a\u0647 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647<\/em> (\u062a\u0627\u0631\u06cc\u062e \u0628\u0647 \u0635\u0648\u0631\u062a \u06cc\u06a9 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u0634\u0648\u062f <code>np.datetime64<\/code>) \u0628\u0631\u0627\u06cc 250 \u0631\u0648\u0632 \u0627\u062e\u06cc\u0631:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> matplotlib.cbook <span class=\"hljs-keyword\">as<\/span> cbook\n\n<span class=\"hljs-keyword\">with<\/span> cbook.get_sample_data(<span class=\"hljs-string\">'goog.npz'<\/span>) <span class=\"hljs-keyword\">as<\/span> datafile:\n    price_data = np.load(datafile)(<span class=\"hljs-string\">'price_data'<\/span>).view(np.recarray)\nprice_data = price_data(-<span class=\"hljs-number\">250<\/span>:) \n<\/code><\/pre>\n<p>\u0633\u067e\u0633 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u06af\u0648\u0646\u0647 \u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0627\u063a\u0644\u0628 \u0628\u0631\u0627\u06cc \u0633\u0631\u06cc \u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0648 \u063a\u06cc\u0631\u0647 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f. <code>$d_i$<\/code>\u0628\u06cc\u0646 \u0647\u0631 \u0645\u0634\u0627\u0647\u062f\u0647 \u0648 \u0645\u0634\u0627\u0647\u062f\u0647 \u0642\u0628\u0644 \u0627\u0632 \u0622\u0646:<\/p>\n<p><code>$$d_i = y_i - y_{i - 1} $$<\/code><\/p>\n<pre><code class=\"hljs\">delta1 = np.diff(price_data.adj_close) \/ price_data.adj_close(:-<span class=\"hljs-number\">1<\/span>)\n<\/code><\/pre>\n<p>\u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u062a\u0628\u062f\u06cc\u0644 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u0627\u0646\u0646\u062f <em>\u062c\u0644\u062f<\/em> \u0648 <em>\u0642\u06cc\u0645\u062a \u0628\u0633\u062a\u0647 \u0634\u062f\u0646<\/em>:<\/p>\n<pre><code class=\"hljs\">\nvolume = (<span class=\"hljs-number\">15<\/span> * price_data.volume(:-<span class=\"hljs-number\">2<\/span>) \/ price_data.volume(<span class=\"hljs-number\">0<\/span>))**<span class=\"hljs-number\">2<\/span>\nclose = <span class=\"hljs-number\">0.003<\/span> * price_data.close(:-<span class=\"hljs-number\">2<\/span>) \/ <span class=\"hljs-number\">0.003<\/span> * price_data.<span class=\"hljs-built_in\">open<\/span>(:-<span class=\"hljs-number\">2<\/span>)\n<\/code><\/pre>\n<h2 id=\"plottingascatterplot\"><span class=\"ez-toc-section\" id=\"%d8%b7%d8%b1%d8%ad_%db%8c%da%a9_%d8%b7%d8%b1%d8%ad_%d9%be%d8%b1%d8%a7%da%a9%d9%86%d8%af%d9%87\"><\/span>\u0637\u0631\u062d \u06cc\u06a9 \u0637\u0631\u062d \u067e\u0631\u0627\u06a9\u0646\u062f\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0631\u0627\u06cc \u0631\u0633\u0645 \u0648\u0627\u0642\u0639\u06cc \u0627\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 <code>subplots()<\/code> \u062a\u0648\u0627\u0628\u0639 \u0627\u0632 <code>plt<\/code> (<code>matplotlib.pyplot<\/code>).  \u0628\u0647 \u0637\u0648\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u06cc\u0646 \u0645\u0633\u0627\u062d\u062a \u0634\u06a9\u0644 \u0648 \u0645\u062d\u0648\u0631\u0647\u0627\u06cc \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0627 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u067e\u0631\u0627\u06a9\u0646\u062f\u0647 \u0627\u0632 \u062a\u0641\u0627\u0648\u062a \u0628\u06cc\u0646 \u0631\u0648\u0632\u0647\u0627\u06cc \u0645\u062a\u0648\u0627\u0644\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0633\u0627\u062e\u062a.  \u0628\u0631\u0627\u06cc \u062a\u0648\u0636\u06cc\u062d \u0628\u06cc\u0634\u062a\u0631\u060c <em>\u0627\u06cc\u06a9\u0633<\/em> \u062a\u0641\u0627\u0648\u062a \u0631\u0648\u0632 \u0627\u0633\u062a <em>\u0645\u0646<\/em> \u0648 \u0631\u0648\u0632 \u0642\u0628\u0644 <em>y<\/em> \u062a\u0641\u0627\u0648\u062a \u0631\u0648\u0632 \u0627\u0633\u062a <em>i+1<\/em> \u0648 \u0631\u0648\u0632 \u0642\u0628\u0644 (<em>\u0645\u0646<\/em>):<\/p>\n<pre><code class=\"hljs\">fig, ax = plt.subplots()\nax.scatter(delta1(:-<span class=\"hljs-number\">1<\/span>), delta1(<span class=\"hljs-number\">1<\/span>:), c=close, s=volume, alpha=<span class=\"hljs-number\">0.5<\/span>)\n\nax.set_xlabel(<span class=\"hljs-string\">r'$\\Delta_i$'<\/span>, fontsize=<span class=\"hljs-number\">15<\/span>)\nax.set_ylabel(<span class=\"hljs-string\">r'$\\Delta_{i+1}$'<\/span>, fontsize=<span class=\"hljs-number\">15<\/span>)\nax.set_title(<span class=\"hljs-string\">'Volume and percent change'<\/span>)\n\nax.grid(<span class=\"hljs-literal\">True<\/span>)\nfig.tight_layout()\n\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/a-brief-introduction-matplotlib-data-visualization-1.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0633\u067e\u0633 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u0622\u0646 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 <em>\u0627\u06cc\u06a9\u0633<\/em> \u0648 <em>y<\/em> \u0645\u062d\u0648\u0631\u0647\u0627\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0639\u0646\u0648\u0627\u0646\u06cc \u0628\u0631\u0627\u06cc \u0637\u0631\u062d.  \u0645\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0627\u06cc\u0646 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u0628\u0627 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627 \u0648 \u06cc\u06a9 \u0686\u06cc\u062f\u0645\u0627\u0646 \u0641\u0634\u0631\u062f\u0647 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645.<\/p>\n<p><code>plt.show()<\/code>  \u0637\u0631\u062d \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u0627 \u0646\u0645\u0627\u06cc\u0634 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<h2 id=\"addingaline\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b6%d8%a7%d9%81%d9%87_%da%a9%d8%b1%d8%af%d9%86_%db%8c%da%a9_%d8%ae%d8%b7\"><\/span>\u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u06cc\u06a9 \u062e\u0637<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0627\u0631\u0627\u0626\u0647 \u06cc\u06a9 \u062e\u0637 \u0628\u0647 \u0627\u06cc\u0646 \u0637\u0631\u062d \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645 <em>\u0627\u06cc\u06a9\u0633<\/em> \u0648 <em>y<\/em> \u0645\u062e\u062a\u0635\u0627\u062a \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0644\u06cc\u0633\u062a \u0628\u0647 a <code>Line2D<\/code> \u0646\u0645\u0648\u0646\u0647\u060c \u0645\u062b\u0627\u0644:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.lines <span class=\"hljs-keyword\">as<\/span> mlines\n\nfig, ax = plt.subplots()\nline = mlines.Line2D((-<span class=\"hljs-number\">.15<\/span>,<span class=\"hljs-number\">0.25<\/span>), (-<span class=\"hljs-number\">.07<\/span>,<span class=\"hljs-number\">0.09<\/span>), color=<span class=\"hljs-string\">'red'<\/span>)\nax.add_line(line)\n\n\nax.scatter(delta1(:-<span class=\"hljs-number\">1<\/span>), delta1(<span class=\"hljs-number\">1<\/span>:), c=close, s=volume, alpha=<span class=\"hljs-number\">0.5<\/span>)\n\nax.set_xlabel(<span class=\"hljs-string\">r'$\\Delta_i$'<\/span>, fontsize=<span class=\"hljs-number\">15<\/span>)\nax.set_ylabel(<span class=\"hljs-string\">r'$\\Delta_{i+1}$'<\/span>, fontsize=<span class=\"hljs-number\">15<\/span>)\nax.set_title(<span class=\"hljs-string\">'Volume and percent change'<\/span>)\n\nax.grid(<span class=\"hljs-literal\">True<\/span>)\nfig.tight_layout()\n\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/a-brief-introduction-matplotlib-data-visualization-2.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"plottinghistograms\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%b1%d8%b3%db%8c%d9%85_%d9%87%db%8c%d8%b3%d8%aa%d9%88%da%af%d8%b1%d8%a7%d9%85_%d9%87%d8%a7\"><\/span>\u062a\u0631\u0633\u06cc\u0645 \u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0631\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645 \u06cc\u06a9 \u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645\u060c \u0645\u0634\u0627\u0628\u0647 \u0631\u0627 \u062f\u0646\u0628\u0627\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645 process \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f <code>hist()<\/code> \u062a\u0627\u0628\u0639 \u0627\u0632 <code>pyplot<\/code>.  \u0645\u0627 10000 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u062a\u0635\u0627\u062f\u0641\u06cc \u062a\u0648\u0644\u06cc\u062f \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f\u060c <em>\u0627\u06cc\u06a9\u0633<\/em>\u060c \u0628\u0627 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 100 \u0648 \u0627\u0646\u062d\u0631\u0627\u0641 \u0645\u0639\u06cc\u0627\u0631 15.<\/p>\n<p>\u0627\u06cc\u0646 <code>hist<\/code> \u062a\u0627\u0628\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0645\u06cc \u06af\u06cc\u0631\u062f\u060c <em>\u0627\u06cc\u06a9\u0633<\/em>\u060c \u062a\u0639\u062f\u0627\u062f bin \u0647\u0627 \u0648 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u0645\u0627\u0646\u0646\u062f <em>\u062a\u0631\u0627\u06a9\u0645<\/em>\u060c \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0686\u06af\u0627\u0644\u06cc \u0627\u062d\u062a\u0645\u0627\u0644 \u0639\u0627\u062f\u06cc \u0645\u06cc \u06a9\u0646\u062f\u060c \u06cc\u0627 <em>\u0622\u0644\u0641\u0627<\/em>\u060c \u06a9\u0647 \u0634\u0641\u0627\u0641\u06cc\u062a \u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/pypi.org\/project\/mlab\/\">mlab<\/a> \u0628\u0631\u0627\u06cc \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u06cc\u06a9 \u062e\u0637 \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0686\u06af\u0627\u0644\u06cc \u0646\u0631\u0645\u0627\u0644 \u0628\u0627 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0648 \u0627\u0646\u062d\u0631\u0627\u0641 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u06cc\u06a9\u0633\u0627\u0646:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> matplotlib.mlab <span class=\"hljs-keyword\">as<\/span> mlab\n<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n\nmu, sigma = <span class=\"hljs-number\">100<\/span>, <span class=\"hljs-number\">15<\/span>\nx = mu + sigma*np.random.randn(<span class=\"hljs-number\">10000<\/span>)\n\n\nn, bins, patches = plt.hist(x, <span class=\"hljs-number\">30<\/span>, density=<span class=\"hljs-number\">1<\/span>, facecolor=<span class=\"hljs-string\">'blue'<\/span>, alpha=<span class=\"hljs-number\">0.75<\/span>)\n\n\ny = mlab.normpdf( bins, mu, sigma)\nl = plt.plot(bins, y, <span class=\"hljs-string\">'r--'<\/span>, linewidth=<span class=\"hljs-number\">4<\/span>)\n\nplt.xlabel(<span class=\"hljs-string\">'IQ'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Probability'<\/span>)\nplt.title(<span class=\"hljs-string\">r'$\\mathrm{Histogram\\ of\\ IQ:}\\ \\mu=100,\\ \\sigma=15$'<\/span>)\nplt.axis((<span class=\"hljs-number\">40<\/span>, <span class=\"hljs-number\">160<\/span>, <span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">0.03<\/span>))\nplt.grid(<span class=\"hljs-literal\">True<\/span>)\n\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/a-brief-introduction-matplotlib-data-visualization-3.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"barcharts\"><span class=\"ez-toc-section\" id=\"%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1_%d9%85%db%8c%d9%84%d9%87\"><\/span>\u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u06cc\u0644\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 \u0647\u0627 \u0628\u0647 \u0645\u0627 \u062f\u0631 \u0686\u06af\u0627\u0644\u06cc \u0628\u0635\u0631\u06cc \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u0646\u062f\u060c \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u06cc\u0644\u0647 \u0627\u06cc \u0628\u0647 \u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u062a\u0639\u062f\u0627\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0631\u0633\u0645 \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u06cc\u0644\u0647 \u0627\u06cc \u0628\u0627 matplotlib\u060c \u0627\u0632 \u0639\u0628\u0627\u0631\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>bar()<\/code> \u062a\u0627\u0628\u0639.  \u0627\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f \u0648 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062f\u0631 \u0646\u0638\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f <em>\u0627\u06cc\u06a9\u0633<\/em> \u0648 <em>y<\/em>\u060c \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631.<\/p>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u0646\u0645\u0648\u0646\u0647\u200c\u0627\u06cc \u0627\u0632 \u062a\u0639\u062f\u0627\u062f \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u0627\u0646\u06cc \u06a9\u0647 \u0627\u0632 \u0632\u0628\u0627\u0646\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n \nobjects = (<span class=\"hljs-string\">'Python'<\/span>, <span class=\"hljs-string\">'C++'<\/span>, <span class=\"hljs-string\">'Java'<\/span>, <span class=\"hljs-string\">'Perl'<\/span>, <span class=\"hljs-string\">'Scala'<\/span>, <span class=\"hljs-string\">'Lisp'<\/span>)\ny_pos = np.arange(<span class=\"hljs-built_in\">len<\/span>(objects))\nperformance = (<span class=\"hljs-number\">10<\/span>,<span class=\"hljs-number\">8<\/span>,<span class=\"hljs-number\">6<\/span>,<span class=\"hljs-number\">4<\/span>,<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">1<\/span>)\n \nplt.bar(y_pos, performance, align=<span class=\"hljs-string\">'center'<\/span>, alpha=<span class=\"hljs-number\">0.5<\/span>)\nplt.xticks(y_pos, objects)\nplt.ylabel(<span class=\"hljs-string\">'Usage'<\/span>)\nplt.title(<span class=\"hljs-string\">'Programming language usage'<\/span>)\n \nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/a-brief-introduction-matplotlib-data-visualization-4.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"plottingimages\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%b1%d8%b3%db%8c%d9%85_%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1\"><\/span>\u062a\u0631\u0633\u06cc\u0645 \u062a\u0635\u0627\u0648\u06cc\u0631<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0633\u06cc\u0627\u0631 \u0631\u0627\u06cc\u062c \u0627\u0633\u062a.  \u062c\u0627\u06cc \u062a\u0639\u062c\u0628 \u0646\u06cc\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <em>matplotlib<\/em> \u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631  \u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <a rel=\"nofollow noopener\" trarget=\"_blank\" href=\"https:\/\/pypi.org\/project\/opencv-python\/\" target=\"_blank\">cv2<\/a> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u062f\u0646 \u062f\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631<\/p>\n<p>\u0627\u06cc\u0646 <code>read_image()<\/code> \u062e\u0644\u0627\u0635\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u062f\u0631 \u0632\u06cc\u0631 \u0622\u0645\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<ul>\n<li>\u0641\u0627\u06cc\u0644 \u062a\u0635\u0648\u06cc\u0631\u06cc \u0631\u0627 \u0645\u06cc \u062e\u0648\u0627\u0646\u062f<\/li>\n<li>\u06a9\u0627\u0646\u0627\u0644 \u0647\u0627\u06cc \u0631\u0646\u06af\u06cc \u0631\u0627 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f<\/li>\n<li>\u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 RGB \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u062f\u0647\u062f<\/li>\n<li>\u0627\u0646\u062f\u0627\u0632\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u062f\u0647\u062f<\/li>\n<li>\u0645\u0627\u062a\u0631\u06cc\u0633\u06cc \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 RGB \u0631\u0627 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f<\/li>\n<\/ul>\n<p>\u0628\u0642\u06cc\u0647 \u06a9\u062f \u062f\u0631 \u067e\u0646\u062c \u062a\u0635\u0648\u06cc\u0631 \u0627\u0648\u0644 \u0627\u0632 \u06af\u0631\u0628\u0647 \u0647\u0627 \u0648 \u0633\u06af \u0647\u0627 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u062f\u0647 \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u062a\u0635\u0648\u06cc\u0631 CNN \u062e\u0648\u0627\u0646\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u062a\u0635\u0627\u0648\u06cc\u0631 \u0647\u0633\u062a\u0646\u062f <em>\u0628\u0647 \u0647\u0645 \u067e\u06cc\u0648\u0633\u062a\u0647<\/em> \u0648 \u0686\u0627\u067e \u0634\u062f \u0631\u0648\u06cc \u0647\u0645\u0627\u0646 \u0645\u062d\u0648\u0631:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> os, cv2\n\ncwd = os.getcwd()\nTRAIN_DIR = cwd + <span class=\"hljs-string\">'\/data\/train\/'<\/span>\n\nROWS = <span class=\"hljs-number\">256<\/span>\nCOLS = <span class=\"hljs-number\">256<\/span>\nCHANNELS = <span class=\"hljs-number\">3<\/span>\n\ntrain_images = (TRAIN_DIR+i <span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> os.listdir(TRAIN_DIR)) \ntrain_dogs =   (TRAIN_DIR+i <span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> os.listdir(TRAIN_DIR) <span class=\"hljs-keyword\">if<\/span> <span class=\"hljs-string\">'dog'<\/span> <span class=\"hljs-keyword\">in<\/span> i)\ntrain_cats =   (TRAIN_DIR+i <span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> os.listdir(TRAIN_DIR) <span class=\"hljs-keyword\">if<\/span> <span class=\"hljs-string\">'cat'<\/span> <span class=\"hljs-keyword\">in<\/span> i)\n\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">read_image<\/span>(<span class=\"hljs-params\">file_path<\/span>):<\/span>\n    img = cv2.imread(file_path, cv2.IMREAD_COLOR) \n    b,g,r = cv2.split(img)\n    img2 = cv2.merge((r,g,b))\n    <span class=\"hljs-keyword\">return<\/span> cv2.resize(img2, (ROWS, COLS), interpolation=cv2.INTER_CUBIC)\n\n<span class=\"hljs-keyword\">for<\/span> a <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">5<\/span>):\n    cat = read_image(train_cats(a))\n    dog = read_image(train_dogs(a))\n    pair = np.concatenate((cat, dog), axis=<span class=\"hljs-number\">1<\/span>)\n    plt.figure(figsize=(<span class=\"hljs-number\">10<\/span>,<span class=\"hljs-number\">5<\/span>))\n    plt.imshow(pair)\n    plt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/a-brief-introduction-matplotlib-data-visualization-5.png\" alt=\"\" title=\"\"><br \/>\n<img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/a-brief-introduction-matplotlib-data-visualization-6.png\" alt=\"\" title=\"\"><br \/>\n<img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/a-brief-introduction-matplotlib-data-visualization-7.png\" alt=\"\" title=\"\"><br \/>\n<img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/a-brief-introduction-matplotlib-data-visualization-8.png\" alt=\"\" title=\"\"><br \/>\n<img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/a-brief-introduction-matplotlib-data-visualization-9.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u067e\u0633\u062a \u0645\u0639\u0631\u0641\u06cc \u0645\u062e\u062a\u0635\u0631\u06cc \u0627\u0632 \u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0631\u0627 \u062f\u06cc\u062f\u06cc\u0645 <em>matplotlib<\/em> \u0628\u0631\u0627\u06cc \u0631\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u067e\u0631\u0627\u06a9\u0646\u062f\u0647\u060c \u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 \u0648 \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u06cc\u0644\u0647 \u0627\u06cc.  \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062e\u0637\u0648\u0637\u06cc \u0631\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0637\u0631\u062d \u0647\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u06cc\u0645.  \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0631\u0648\u0634 \u062e\u0648\u0627\u0646\u062f\u0646 \u062f\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <em>cv2<\/em> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f <em>matplotlib<\/em> \u0628\u0631\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645 \u062a\u0635\u0627\u0648\u06cc\u0631<\/p>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-26 20:46:05<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;16550&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;\u0645\u0642\u062f\u0645\u0647 \u0627\u06cc \u06a9\u0648\u062a\u0627\u0647 \u0628\u0631 matplotlib \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627&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\"> 4<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0637\u06cc\u0641 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0628\u0633\u062a\u0647 \u0647\u0627\u06cc \u0645\u0641\u06cc\u062f \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0622\u0645\u0627\u0631\u06cc \u0645\u0627\u0646\u0646\u062f TensorFlow\u060c NumPy\u060c scikit-\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc\u060c \u067e\u0627\u0646\u062f\u0627\u0647\u0627\u060c \u0648 \u0628\u06cc\u0634\u062a\u0631. \u06cc\u06a9\u06cc \u0627\u0632 \u0628\u0633\u062a\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u06a9\u062b\u0631 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a \u0627\u06cc\u0646 \u0627\u0633\u062a matplotlib. \u0628\u0631\u0627\u06cc \u0647\u0631 \u062a\u0648\u0632\u06cc\u0639 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0648\u062c\u0648\u062f \u0627\u0633\u062a\u060c \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0631\u062f \u0631\u0648\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 3 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":16551,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-16550","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16550","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=16550"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16550\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/16551"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16550"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16550"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16550"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}