{"id":16584,"date":"2024-01-27T11:44:18","date_gmt":"2024-01-27T08:14:18","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/"},"modified":"2024-01-27T11:44:18","modified_gmt":"2024-01-27T08:14:18","slug":"%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/","title":{"rendered":"\u0622\u0645\u0648\u0632\u0634 \u0645\u0628\u062a\u062f\u06cc \u0631\u0648\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u067e\u0627\u06cc\u062a\u0648\u0646 \u067e\u0627\u0646\u062f\u0627\u0647\u0627"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d9%85%d8%b2%d8%a7%db%8c%d8%a7%db%8c_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_%d9%be%d8%a7%d9%86%d8%af%d8%a7%d9%87%d8%a7\" >\u0645\u0632\u0627\u06cc\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u0646\u062f\u0627\u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d9%86%d8%b5%d8%a8_%d9%be%d8%a7%d9%86%d8%af%d8%a7%d9%87%d8%a7\" >\u0646\u0635\u0628 \u067e\u0627\u0646\u062f\u0627\u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d8%b3%d8%a7%d8%ae%d8%aa%d8%a7%d8%b1%d9%87%d8%a7%db%8c_%d8%af%d8%a7%d8%af%d9%87_%d9%be%d8%a7%d9%86%d8%af%d8%a7%d9%87%d8%a7\" >\u0633\u0627\u062e\u062a\u0627\u0631\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u067e\u0627\u0646\u062f\u0627\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-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d8%b3%d9%84%d8%b3%d9%84%d9%87\" >\u0633\u0644\u0633\u0644\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#dataframe\" >DataFrame<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\" >\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_csv\" >\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc CSV<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d8%a7%da%a9%d8%b3%d9%84\" >\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u06a9\u0633\u0644<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d8%ac%d8%af%d8%a7%d9%84_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\" >\u062c\u062f\u0627\u0644 \u062f\u0627\u062f\u0647 \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-10\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d8%a7%d8%af%d8%ba%d8%a7%d9%85\" >\u0627\u062f\u063a\u0627\u0645<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%da%af%d8%b1%d9%88%d9%87_%d8%a8%d9%86%d8%af%db%8c\" >\u06af\u0631\u0648\u0647 \u0628\u0646\u062f\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d8%a7%d9%84%d8%ad%d8%a7%d9%82\" >\u0627\u0644\u062d\u0627\u0642<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%d8%a7\/#%d8%a2%d9%85%d8%a7%d8%b1_%d8%aa%d9%88%d8%b5%db%8c%d9%81%db%8c\" >\u0622\u0645\u0627\u0631 \u062a\u0648\u0635\u06cc\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%a8%d8%aa%d8%af%db%8c-%d8%b1%d9%88%db%8c-%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d9%be%d8%a7%d9%86%d8%af%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\"> 12<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<p>Pandas \u06cc\u06a9 \u0628\u0633\u062a\u0647 \u0645\u0646\u0628\u0639 \u0628\u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f\u06cc \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.  \u0627\u06cc\u0646 \u0628\u0633\u062a\u0647 \u062f\u0627\u0631\u0627\u06cc \u0686\u0646\u062f\u06cc\u0646 \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u06a9\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.  \u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0627\u0631\u0627\u06cc \u0631\u0648\u0634 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0632 \u0622\u0646\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f \u06a9\u0647 \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u06a9\u0627\u0631 \u0645\u0641\u06cc\u062f \u0627\u0633\u062a \u0631\u0648\u06cc \u0645\u0634\u06a9\u0644\u0627\u062a \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646<\/p>\n<h2 id=\"advantagesofusingpandas\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b2%d8%a7%db%8c%d8%a7%db%8c_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_%d9%be%d8%a7%d9%86%d8%af%d8%a7%d9%87%d8%a7\"><\/span>\u0645\u0632\u0627\u06cc\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u0646\u062f\u0627\u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0632\u06cc\u0631 \u0628\u0647 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0645\u0632\u0627\u06cc\u0627\u06cc <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/pandas.pydata.org\/\">\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u067e\u0627\u0646\u062f\u0627\u0647\u0627<\/a>:<\/p>\n<ol>\n<li>\u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u06af\u0648\u0646\u0647 \u0627\u06cc \u0627\u0631\u0627\u0626\u0647 \u06a9\u0646\u062f \u06a9\u0647 \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0622\u0646 \u0645\u0646\u0627\u0633\u0628 \u0628\u0627\u0634\u062f <code>Series<\/code> \u0648 <code>DataFrame<\/code> \u0633\u0627\u062e\u062a\u0627\u0631\u0647\u0627\u06cc \u062f\u0627\u062f\u0647.<\/li>\n<li>\u0627\u06cc\u0646 \u0628\u0633\u062a\u0647 \u0634\u0627\u0645\u0644 \u0686\u0646\u062f\u06cc\u0646 \u0631\u0648\u0634 \u0628\u0631\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u06a9\u0631\u062f\u0646 \u0631\u0627\u062d\u062a \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a.<\/li>\n<li>Pandas \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0639\u0645\u0644\u06cc\u0627\u062a \u0648\u0631\u0648\u062f\u06cc\/\u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0635\u0648\u0631\u062a \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u062f\u0627\u0631\u062f.  \u0627\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u0641\u0631\u0645\u062a \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u0627\u0646\u0646\u062f CSV\u060c TSV\u060c MS Excel \u0648 \u063a\u06cc\u0631\u0647 \u0628\u062e\u0648\u0627\u0646\u062f.<\/li>\n<\/ol>\n<h2 id=\"installingpandas\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%b5%d8%a8_%d9%be%d8%a7%d9%86%d8%af%d8%a7%d9%87%d8%a7\"><\/span>\u0646\u0635\u0628 \u067e\u0627\u0646\u062f\u0627\u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062a\u0648\u0632\u06cc\u0639 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 \u0645\u0627\u0698\u0648\u0644 Pandas \u0627\u0631\u0627\u0626\u0647 \u0646\u0645\u06cc \u0634\u0648\u062f.  \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u0645\u0627\u0698\u0648\u0644 \u0634\u062e\u0635 \u062b\u0627\u0644\u062b\u060c \u0628\u0627\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0646\u06a9\u062a\u0647 \u062e\u0648\u0628 \u062f\u0631 \u0645\u0648\u0631\u062f \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0627\u0628\u0632\u0627\u0631\u06cc \u0628\u0647 \u0646\u0627\u0645 \u0647\u0645\u0631\u0627\u0647 \u0627\u0633\u062a <em>pip<\/em>  \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u0646\u0635\u0628 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.  \u0628\u0631\u0627\u06cc \u0646\u0635\u0628\u060c \u0628\u0627\u06cc\u062f \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">$ pip install pandas\n<\/code><\/pre>\n<p>\u0627\u06af\u0631 \u0646\u0635\u0628 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/anaconda.org\/anaconda\/python\">\u0622\u0646\u0627\u06a9\u0648\u0646\u062f\u0627<\/a> \u0631\u0648\u06cc  \u0628\u0631\u0627\u06cc \u0646\u0635\u0628 \u067e\u0627\u0646\u062f\u0627 \u06a9\u0627\u0641\u06cc\u0633\u062a \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">$ conda install pandas\n<\/code><\/pre>\n<p>\u0628\u0647 \u0634\u062f\u062a \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0622\u062e\u0631\u06cc\u0646 \u0646\u0633\u062e\u0647 \u0628\u0633\u062a\u0647 \u067e\u0627\u0646\u062f\u0627 \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0627\u06af\u0631 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u0646\u0633\u062e\u0647 \u0642\u062f\u06cc\u0645\u06cc\u200c\u062a\u0631\u06cc \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0628\u0627 \u0627\u062c\u0631\u0627\u06cc \u0622\u0646 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u062f <code>conda install<\/code> \u062f\u0633\u062a\u0648\u0631 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631<\/p>\n<pre><code class=\"hljs\">$ conda install pandas=0.23.4\n<\/code><\/pre>\n<h2 id=\"pandasdatastructures\"><span class=\"ez-toc-section\" id=\"%d8%b3%d8%a7%d8%ae%d8%aa%d8%a7%d8%b1%d9%87%d8%a7%db%8c_%d8%af%d8%a7%d8%af%d9%87_%d9%be%d8%a7%d9%86%d8%af%d8%a7%d9%87%d8%a7\"><\/span>\u0633\u0627\u062e\u062a\u0627\u0631\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u067e\u0627\u0646\u062f\u0627\u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u062f\u0648 \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u0635\u0644\u06cc \u0628\u0631\u0627\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0627\u0631\u0646\u062f:<\/p>\n<ol>\n<li>\u0633\u0644\u0633\u0644\u0647<\/li>\n<li>DataFrame<\/li>\n<\/ol>\n<h3 id=\"series\"><span class=\"ez-toc-section\" id=\"%d8%b3%d9%84%d8%b3%d9%84%d9%87\"><\/span>\u0633\u0644\u0633\u0644\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u06cc\u06a9 \u0633\u0631\u06cc \u0634\u0628\u06cc\u0647 \u0628\u0647 \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647 \u06cc\u06a9 \u0628\u0639\u062f\u06cc \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u0647\u0631 \u0646\u0648\u0639 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u062f.  \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc \u06cc\u06a9 \u067e\u0627\u0646\u062f\u0627 <code>Series<\/code> \u0642\u0627\u0628\u0644 \u062a\u063a\u06cc\u06cc\u0631 \u0647\u0633\u062a\u0646\u062f \u0627\u0645\u0627 \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 a \u0647\u0633\u062a\u0646\u062f <code>Series<\/code> \u062a\u063a\u06cc\u06cc\u0631 \u0646\u0627\u067e\u0630\u06cc\u0631 \u0627\u0633\u062a \u0648 \u0642\u0627\u0628\u0644 \u062a\u063a\u06cc\u06cc\u0631 \u0646\u06cc\u0633\u062a.<\/p>\n<p>\u0627\u0648\u0644\u06cc\u0646 \u0639\u0646\u0635\u0631 \u062f\u0631 \u0633\u0631\u06cc \u0628\u0647 \u0634\u0627\u062e\u0635 \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a <code>0<\/code>\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0622\u062e\u0631\u06cc\u0646 \u0639\u0646\u0635\u0631 \u062f\u0631 \u0634\u0627\u062e\u0635 \u0627\u0633\u062a <code>N-1<\/code>\u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 <code>N<\/code> \u062a\u0639\u062f\u0627\u062f \u06a9\u0644 \u0639\u0646\u0627\u0635\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u067e\u0627\u0646\u062f\u0627 <code>Series<\/code>\u060c \u0627\u0628\u062a\u062f\u0627 \u0628\u0627\u06cc\u062f import \u0628\u0633\u062a\u0647 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u067e\u0627\u06cc\u062a\u0648\u0646 <code>import<\/code> \u062f\u0633\u062a\u0648\u0631:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f <code>Series<\/code>\u060c \u0645\u0627 \u0631\u0627 \u0641\u0631\u0627 \u0645\u06cc \u062e\u0648\u0627\u0646\u06cc\u0645 <code>pd.Series()<\/code> \u0631\u0648\u0634 \u0648 \u0627\u0631\u0633\u0627\u0644 \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647\u060c \u0645\u0627\u0646\u0646\u062f \u0634\u06a9\u0644 \u0632\u06cc\u0631:<\/p>\n<pre><code class=\"hljs\">series1 = pd.Series((<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">3<\/span>,<span class=\"hljs-number\">4<\/span>))\n<\/code><\/pre>\n<p>\u0628\u0639\u062f\u060c \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f <code>print<\/code> \u0628\u06cc\u0627\u0646\u06cc\u0647 \u0628\u0631\u0627\u06cc \u0646\u0645\u0627\u06cc\u0634 \u0645\u062d\u062a\u0648\u06cc\u0627\u062a <code>Series<\/code>:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">print<\/span>(series1)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">0    1\n1    2\n2    3\n3    4\ndtype: int64\n<\/code><\/pre>\n<p>\u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0645\u0627 \u062f\u0648 \u0633\u062a\u0648\u0646 \u062f\u0627\u0631\u06cc\u0645\u060c \u0627\u0648\u0644\u06cc\u0646 \u0633\u062a\u0648\u0646 \u0628\u0627 \u0627\u0639\u062f\u0627\u062f\u06cc \u06a9\u0647 \u0627\u0632 \u0634\u0627\u062e\u0635 \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u0646\u062f <code>0<\/code> \u0648 \u062f\u0648\u0645\u06cc \u0628\u0627 \u0639\u0646\u0627\u0635\u0631\u06cc \u06a9\u0647 \u0628\u0647 \u0633\u0631\u06cc\u0627\u0644 \u0627\u0636\u0627\u0641\u0647 \u0634\u062f.<\/p>\n<p>\u0633\u062a\u0648\u0646 \u0627\u0648\u0644 \u0646\u0645\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0639\u0646\u0627\u0635\u0631 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0647\u0646\u06af\u0627\u0645 \u0646\u0645\u0627\u06cc\u0634 \u0622\u0646 \u0628\u0627 \u062e\u0637\u0627 \u0645\u0648\u0627\u062c\u0647 \u0634\u0648\u06cc\u062f <code>Series<\/code>.  \u062f\u0644\u06cc\u0644 \u0627\u0635\u0644\u06cc \u0627\u06cc\u0646 \u062e\u0637\u0627 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0645\u0642\u062f\u0627\u0631 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u0631\u0627\u06cc \u0646\u0645\u0627\u06cc\u0634 \u0647\u0633\u062a\u0646\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u0627\u06cc\u062f \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062e\u0631\u0648\u062c\u06cc \u0633\u06cc\u0633\u062a\u0645 \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u062f\u0647\u06cc\u062f.<\/p>\n<p>\u0628\u0627 \u0627\u062c\u0631\u0627\u06cc \u06a9\u062f \u0632\u06cc\u0631 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062e\u0637\u0627 \u0631\u0627 \u062d\u0644 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> sys\n\nsys.__stdout__ = sys.stdout\n\nseries1 = pd.Series((<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">3<\/span>,<span class=\"hljs-number\">4<\/span>))\n<span class=\"hljs-built_in\">print<\/span>(series1)\n<\/code><\/pre>\n<p>\u0622 <code>Series<\/code> \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0627\u0632 a \u0627\u06cc\u062c\u0627\u062f \u0634\u0648\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/www.numpy.org\/\">\u0628\u06cc \u062d\u0633\u06cc<\/a> \u0622\u0631\u0627\u06cc\u0647.  \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647 numpy \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u0648 \u0633\u067e\u0633 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u067e\u0627\u0646\u062f\u0627 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u0645 <code>Series<\/code>:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> sys\n\nsys.__stdout__ = sys.stdout\n\nfruits = np.array((<span class=\"hljs-string\">'apple'<\/span>,<span class=\"hljs-string\">'orange'<\/span>,<span class=\"hljs-string\">'mango'<\/span>,<span class=\"hljs-string\">'pear'<\/span>))\nseries2 = pd.Series(fruits)\n<span class=\"hljs-built_in\">print<\/span>(series2)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">0     apple\n1    orange\n2     mango\n3      pear\ndtype: object\n<\/code><\/pre>\n<p>\u0645\u0627 \u0628\u0627 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0627\u0632 \u062c\u0645\u0644\u0647 <code>numpy<\/code>.  \u0628\u0639\u062f\u060c \u0645\u0627 numpy \u0631\u0627 \u0635\u062f\u0627 \u0632\u062f\u06cc\u0645 <code>array()<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u06cc\u062c\u0627\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0645\u06cc\u0648\u0647 \u0647\u0627.  \u0633\u067e\u0633 \u0627\u0632 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>Series()<\/code> \u062a\u0627\u0628\u0639 \u0648 \u0622\u0631\u0627\u06cc\u0647 \u0627\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0647 \u06cc\u06a9 \u0633\u0631\u06cc \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u0645\u060c \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0645\u0627 \u0628\u0647 <code>print()<\/code> \u062a\u0627\u0628\u0639 \u0646\u0645\u0627\u06cc\u0634 <code>Series<\/code>.<\/p>\n<h3 id=\"dataframe\"><span class=\"ez-toc-section\" id=\"dataframe\"><\/span>DataFrame<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Pandas DataFrame \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0635\u0648\u0631\u062a \u062c\u062f\u0648\u0644 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0631\u062f.  \u0627\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0631 \u0631\u062f\u06cc\u0641 \u0647\u0627 \u0648 \u0633\u062a\u0648\u0646 \u0647\u0627 \u0633\u0627\u0632\u0645\u0627\u0646\u062f\u0647\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0627\u062f\u0647 \u062f\u0648 \u0628\u0639\u062f\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u062f.  \u0628\u0647 \u0637\u0648\u0631 \u0628\u0627\u0644\u0642\u0648\u0647\u060c \u0633\u062a\u0648\u0646 \u0647\u0627 \u0627\u0632 \u0646\u0648\u0639 \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u0647\u0633\u062a\u0646\u062f \u0648 \u0627\u0646\u062f\u0627\u0632\u0647 DataFrame \u0642\u0627\u0628\u0644 \u062a\u063a\u06cc\u06cc\u0631 \u0627\u0633\u062a \u0648 \u0627\u0632 \u0627\u06cc\u0646 \u0631\u0648 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0627\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 DataFrame\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u0632 \u0627\u0628\u062a\u062f\u0627 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u062f \u06cc\u0627 \u0633\u0627\u06cc\u0631 \u0633\u0627\u062e\u062a\u0627\u0631\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0645\u0627\u0646\u0646\u062f \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627\u06cc Numpy \u0631\u0627 \u0628\u0647 DataFrame \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u062f.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0631\u0648\u0634 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 DataFrame \u0627\u0632 \u0627\u0628\u062a\u062f\u0627 \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\ndf = pd.DataFrame({\n    <span class=\"hljs-string\">\"Column1\"<\/span>: (<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">4<\/span>, <span class=\"hljs-number\">8<\/span>, <span class=\"hljs-number\">7<\/span>, <span class=\"hljs-number\">9<\/span>),\n    <span class=\"hljs-string\">\"Column2\"<\/span>: (<span class=\"hljs-string\">'a'<\/span>, <span class=\"hljs-string\">'column'<\/span>, <span class=\"hljs-string\">'with'<\/span>, <span class=\"hljs-string\">'a'<\/span>, <span class=\"hljs-string\">'string'<\/span>),\n    <span class=\"hljs-string\">\"Column3\"<\/span>: (<span class=\"hljs-number\">1.23<\/span>, <span class=\"hljs-number\">23.5<\/span>, <span class=\"hljs-number\">45.6<\/span>, <span class=\"hljs-number\">32.1234<\/span>, <span class=\"hljs-number\">89.453<\/span>),\n    <span class=\"hljs-string\">\"Column4\"<\/span>: (<span class=\"hljs-literal\">True<\/span>, <span class=\"hljs-literal\">False<\/span>, <span class=\"hljs-literal\">True<\/span>, <span class=\"hljs-literal\">False<\/span>, <span class=\"hljs-literal\">True<\/span>)\n})\n<span class=\"hljs-built_in\">print<\/span>(df)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">   Column1 Column2  Column3  Column4\n0        1       a   1.2300     True\n1        4  column  23.5000    False\n2        8    with  45.6000     True\n3        7       a  32.1234    False\n4        9  string  89.4530     True\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0645\u0627 \u06cc\u06a9 DataFrame \u0628\u0627 \u0646\u0627\u0645 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 <code>df<\/code>.  \u0633\u062a\u0648\u0646 \u0627\u0648\u0644 DataFrame \u062f\u0627\u0631\u0627\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0635\u062d\u06cc\u062d \u0627\u0633\u062a.  \u0633\u062a\u0648\u0646 \u062f\u0648\u0645 \u062f\u0627\u0631\u0627\u06cc \u06cc\u06a9 \u0631\u0634\u062a\u0647\u060c \u0633\u062a\u0648\u0646 \u0633\u0648\u0645 \u062f\u0627\u0631\u0627\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0645\u06cc\u0632 \u0634\u0646\u0627\u0648\u0631\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0633\u062a\u0648\u0646 \u0686\u0647\u0627\u0631\u0645 \u062f\u0627\u0631\u0627\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0628\u0648\u0644\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u0635\u0648\u0631\u062a\u062d\u0633\u0627\u0628 <code>print(df)<\/code> \u0645\u062d\u062a\u0648\u06cc\u0627\u062a DataFrame \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 console\u060c \u0628\u0647 \u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0645\u062d\u062a\u0648\u06cc\u0627\u062a \u0622\u0646 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u0648 \u062a\u0623\u06cc\u06cc\u062f \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0647\u0646\u06af\u0627\u0645 \u0646\u0645\u0627\u06cc\u0634 DataFrame\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0645\u062a\u0648\u062c\u0647 \u0634\u062f\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u06cc\u06a9 \u0633\u062a\u0648\u0646 \u0627\u0636\u0627\u0641\u06cc \u062f\u0631 \u0627\u0628\u062a\u062f\u0627\u06cc \u062c\u062f\u0648\u0644 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0639\u0646\u0627\u0635\u0631 \u0622\u0646 \u0628\u0627 0 \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u062f. \u0627\u06cc\u0646 \u0633\u062a\u0648\u0646 \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u0634\u0648\u062f \u0648 \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc \u0631\u062f\u06cc\u0641 \u0647\u0627 \u0631\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 DataFrame\u060c \u0628\u0627\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u06a9\u0646\u06cc\u0645 <code>pd.DataFrame()<\/code> \u0631\u0648\u0634\u06cc \u06a9\u0647 \u062f\u0631 \u0645\u062b\u0627\u0644 \u0628\u0627\u0644\u0627 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0628\u0631\u0627\u06cc \u0645\u0627 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0627\u0632 \u06cc\u06a9 \u0644\u06cc\u0633\u062a \u06cc\u0627 \u062d\u062a\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0644\u06cc\u0633\u062a \u0647\u0627 \u06cc\u06a9 DataFrame \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645.  \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u0632\u0646\u06af \u0628\u0632\u0646\u06cc\u0645 <code>pd.DataFrame()<\/code> \u0645\u062a\u062f \u0648 \u0633\u067e\u0633 \u0645\u062a\u063a\u06cc\u0631 \u0644\u06cc\u0633\u062a \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062a\u0646\u0647\u0627 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0622\u0646 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0628\u0647 \u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\nmylist = (<span class=\"hljs-number\">4<\/span>, <span class=\"hljs-number\">8<\/span>, <span class=\"hljs-number\">12<\/span>, <span class=\"hljs-number\">16<\/span>, <span class=\"hljs-number\">20<\/span>)\ndf = pd.DataFrame(mylist)\n<span class=\"hljs-built_in\">print<\/span>(df)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">  0\n0   4\n1   8\n2  12\n3  16\n4  20\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0645\u0627 \u06cc\u06a9 \u0644\u06cc\u0633\u062a \u0628\u0647 \u0646\u0627\u0645 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u06cc\u0645 <code>mylist<\/code> \u0628\u0627 \u062f\u0646\u0628\u0627\u0644\u0647 \u0627\u06cc \u0627\u0632 5 \u0639\u062f\u062f \u0635\u062d\u06cc\u062d.  \u0633\u067e\u0633 \u0628\u0627 <code>DataFrame()<\/code> \u0645\u062a\u062f \u0648 \u0646\u0627\u0645 \u0644\u06cc\u0633\u062a \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0628\u0647 \u0622\u0646 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0631\u062f.  \u0627\u06cc\u0646\u062c\u0627\u0633\u062a \u06a9\u0647 \u062a\u0628\u062f\u06cc\u0644 \u0644\u06cc\u0633\u062a \u0628\u0647 DataFrame \u0627\u062a\u0641\u0627\u0642 \u0627\u0641\u062a\u0627\u062f.<\/p>\n<p>\u0633\u067e\u0633 \u0645\u062d\u062a\u0648\u06cc\u0627\u062a DataFrame \u0631\u0627 \u0686\u0627\u067e \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645.  DataFrame \u062f\u0627\u0631\u0627\u06cc \u06cc\u06a9 \u0633\u062a\u0648\u0646 \u067e\u06cc\u0634\u200c\u0641\u0631\u0636 \u0627\u0633\u062a \u06a9\u0647 \u0646\u0645\u0627\u06cc\u0647\u200c\u0647\u0627 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u0627\u0648\u0644\u06cc\u0646 \u0639\u0646\u0635\u0631 \u062f\u0631 \u0627\u0646\u062f\u06cc\u0633 0 \u0648 \u0622\u062e\u0631\u06cc\u0646 \u0639\u0646\u0635\u0631 \u062f\u0631 \u0634\u0627\u062e\u0635 \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u062f. <code>N-1<\/code>\u060c \u06a9\u0647 \u062f\u0631 \u0622\u0646 N \u062a\u0639\u062f\u0627\u062f \u06a9\u0644 \u0639\u0646\u0627\u0635\u0631 \u062f\u0631 DataFrame \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u062f\u06cc\u06af\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\nitems = ((<span class=\"hljs-string\">'Phone'<\/span>, <span class=\"hljs-number\">2000<\/span>), (<span class=\"hljs-string\">'TV'<\/span>, <span class=\"hljs-number\">1500<\/span>), (<span class=\"hljs-string\">'Radio'<\/span>, <span class=\"hljs-number\">800<\/span>))\ndf = pd.DataFrame(items, columns=(<span class=\"hljs-string\">'Item'<\/span>, <span class=\"hljs-string\">'Price'<\/span>), dtype=<span class=\"hljs-built_in\">float<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(df)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">  Item   Price\n0  Phone  2000.0\n1     TV  1500.0\n2  Radio   800.0\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0627 \u06cc\u06a9 \u0644\u06cc\u0633\u062a \u0628\u0647 \u0646\u0627\u0645 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 <code>items<\/code> \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 3 \u0639\u062f\u062f\u06cc  \u0628\u0631\u0627\u06cc \u0647\u0631 \u06a9\u0627\u0644\u0627 \u06cc\u06a9 \u0646\u0627\u0645 \u0648 \u0642\u06cc\u0645\u062a \u062f\u0627\u0631\u06cc\u0645.  \u0633\u067e\u0633 \u0644\u06cc\u0633\u062a \u0628\u0647 <code>DataFrame()<\/code> \u0631\u0648\u0634 \u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u062a\u0628\u062f\u06cc\u0644 \u0622\u0646 \u0628\u0647 a <code>DataFrame<\/code> \u0647\u062f\u0641 &#8211; \u0634\u06cc.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0646\u0627\u0645 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc DataFrame \u0646\u06cc\u0632 \u0645\u0634\u062e\u0635 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0627\u0632 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0631\u062f\u06cc\u0645\u060c \u0645\u0642\u0627\u062f\u06cc\u0631 \u0639\u062f\u062f\u06cc \u0646\u06cc\u0632 \u0628\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0645\u06cc\u0632 \u0634\u0646\u0627\u0648\u0631 \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0647\u200c\u0627\u0646\u062f <code>dtype<\/code> \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 &#8220;\u0634\u0646\u0627\u0648\u0631&#8221;.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0644\u0627\u0635\u0647 \u0627\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f <code>describe()<\/code> \u062a\u0627\u0628\u0639 \u0631\u0648\u06cc \u0645\u062a\u063a\u06cc\u0631 DataFrame\u060c \u06cc\u0639\u0646\u06cc <code>df<\/code>:<\/p>\n<pre><code class=\"hljs\">df.describe()\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">      Price\ncount     3.000000\nmean   1433.333333\nstd     602.771377\nmin     800.000000\n25%    1150.000000\n50%    1500.000000\n75%    1750.000000\nmax    2000.000000\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 <code>describe()<\/code> \u062a\u0627\u0628\u0639 \u0628\u0631\u062e\u06cc \u0627\u0632 \u062c\u0632\u0626\u06cc\u0627\u062a \u0622\u0645\u0627\u0631\u06cc \u0631\u0627\u06cc\u062c \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u060c \u0627\u0632 \u062c\u0645\u0644\u0647 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646\u060c \u0627\u0646\u062d\u0631\u0627\u0641 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f\u060c \u0639\u0646\u0635\u0631 \u062d\u062f\u0627\u0642\u0644\u060c \u0639\u0646\u0635\u0631 \u062d\u062f\u0627\u06a9\u062b\u0631 \u0648 \u0628\u0631\u062e\u06cc \u062c\u0632\u0626\u06cc\u0627\u062a \u062f\u06cc\u06af\u0631 \u0631\u0627 \u0628\u0631\u0645\u06cc\u200c\u06af\u0631\u062f\u0627\u0646\u062f.  \u0627\u06af\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0646\u0633\u0628\u062a\u0627\u064b \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0646\u0627\u0634\u0646\u0627\u062e\u062a\u0647 \u0628\u0627\u0634\u062f\u060c \u0627\u06cc\u0646 \u06cc\u06a9 \u0631\u0627\u0647 \u0639\u0627\u0644\u06cc \u0628\u0631\u0627\u06cc \u06af\u0631\u0641\u062a\u0646 \u0639\u06a9\u0633 \u0641\u0648\u0631\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627 \u0622\u0646\u0647\u0627 \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u062f.  \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0631\u0627\u0647 \u062e\u0648\u0628\u06cc \u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u06cc\u0633\u0647 \u0633\u0631\u06cc\u0639 \u062f\u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062c\u062f\u0627\u06af\u0627\u0646\u0647 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0634\u0627\u0628\u0647 \u0628\u0627\u0634\u062f.<\/p>\n<h2 id=\"importingdata\"><span class=\"ez-toc-section\" id=\"%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\"><\/span>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u063a\u0644\u0628 \u0627\u0648\u0642\u0627\u062a \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0631 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0627\u06a9\u0633\u0644 \u06cc\u0627 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 CSV \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f\u060c \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u0646\u062f\u0627 \u062f\u0627\u0631\u06cc\u062f.  \u0627\u06cc\u0646 \u0645\u0633\u062a\u0644\u0632\u0645 \u0628\u0627\u0632 \u06a9\u0631\u062f\u0646 \u0648 import \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0686\u0646\u06cc\u0646 \u0645\u0646\u0627\u0628\u0639\u06cc \u0628\u0647 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0645\u06cc \u0631\u0633\u062f.<\/p>\n<p>\u062e\u0648\u0634\u0628\u062e\u062a\u0627\u0646\u0647\u060c Pandas \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f\u06cc \u0631\u0627 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u0645\u0627 \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646\u0647\u0627 \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0686\u0646\u06cc\u0646 \u0645\u0646\u0627\u0628\u0639\u06cc \u062f\u0631 Pandas DataFrame \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<h3 id=\"importingcsvdata\"><span class=\"ez-toc-section\" id=\"%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_csv\"><\/span>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc CSV<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u06cc\u06a9 \u0641\u0627\u06cc\u0644 CSV \u06a9\u0647 \u0645\u062e\u0641\u0641 \u0622\u0646 \u0627\u0633\u062a <em>\u0645\u0642\u062f\u0627\u0631 \u062c\u062f\u0627 \u0634\u062f\u0647 \u0628\u0627 \u06a9\u0627\u0645\u0627<\/em>\u060c \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0645\u062a\u0646\u06cc \u0628\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062c\u062f\u0627 \u0634\u062f\u0647 \u0628\u0627 \u06a9\u0627\u0645\u0627 (\u060c) \u0627\u0633\u062a.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u06cc\u0646 \u06cc\u06a9 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0628\u0633\u06cc\u0627\u0631 \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0648 \u0627\u063a\u0644\u0628 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0633\u062a\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u062f\u0646 \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc CSV \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0627\u0645\u0644 \u06cc\u0627 \u062c\u0632\u0626\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0645\u0627 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 CSV \u0628\u0627 \u0646\u0627\u0645 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 <em>cars.csv<\/em>.  \u0641\u0627\u06cc\u0644 \u0628\u0627\u06cc\u062f \u062f\u0627\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0632\u06cc\u0631 \u0628\u0627\u0634\u062f:<\/p>\n<pre><code class=\"hljs\">Number,Type,Capacity\nSSD,Premio,1800\nKCN,Fielder,1500\nUSG,Benz,2200\nTCH,BMW,2000\nKBQ,Range,3500\nTBD,Premio,1800\nKCP,Benz,2200\nUSD,Fielder,1500\nUGB,BMW,2000\nTBG,Range,3200\n<\/code><\/pre>\n<p>\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u06a9\u067e\u06cc \u06a9\u0631\u062f\u0647 \u0648 \u062f\u0631 \u06cc\u06a9 \u0648\u06cc\u0631\u0627\u06cc\u0634\u06af\u0631 \u0645\u062a\u0646 \u0645\u0627\u0646\u0646\u062f Notepad \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u062f \u0648 \u0633\u067e\u0633 \u0622\u0646 \u0631\u0627 \u0628\u0627 \u0646\u0627\u0645 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f <em>cars.csv<\/em> \u062f\u0631 \u0647\u0645\u0627\u0646 \u062f\u0627\u06cc\u0631\u06a9\u062a\u0648\u0631\u06cc \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0634\u0645\u0627.<\/p>\n<p>\u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0631\u0648\u0634\u06cc \u0628\u0647 \u0646\u0627\u0645 \u0631\u0627 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u0645\u0627 \u0642\u0631\u0627\u0631 \u0645\u06cc \u062f\u0647\u0646\u062f <code>read_csv<\/code> \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u062f\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 CSV \u062f\u0631 \u06cc\u06a9 Pandas DataFrame \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.  \u0627\u06cc\u0646 \u0645\u062a\u062f \u0645\u0633\u06cc\u0631 \u0641\u0627\u06cc\u0644 CSV \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0645\u06cc \u06af\u06cc\u0631\u062f.<\/p>\n<p>\u06a9\u062f \u0632\u06cc\u0631 \u0647\u0645\u0627\u0646 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u06a9\u0645\u06a9 \u0628\u0647 \u062e\u0648\u0627\u0646\u062f\u0646 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <em>cars.csv<\/em> \u0641\u0627\u06cc\u0644:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\ndata = pd.read_csv(<span class=\"hljs-string\">'cars.csv'<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(data)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\"> Number     Type  Capacity\n0    SSD   Premio      1800\n1    KCN  Fielder      1500\n2    USG     Benz      2200\n3    TCH      BMW      2000\n4    KBQ    Range      3500\n5    TBD   Premio      1800\n6    KCP     Benz      2200\n7    USD  Fielder      1500\n8    UGB      BMW      2000\n9    TBG    Range      3200\n<\/code><\/pre>\n<p>\u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0646\u060c \u0645\u0646 \u0641\u0627\u06cc\u0644 CSV \u0631\u0627 \u062f\u0631 \u0647\u0645\u0627\u0646 \u062f\u0627\u06cc\u0631\u06a9\u062a\u0648\u0631\u06cc \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u067e\u0627\u06cc\u062a\u0648\u0646 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0631\u062f\u0645\u060c \u0627\u0632 \u0627\u06cc\u0646 \u0631\u0648 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0646\u0627\u0645 \u0641\u0627\u06cc\u0644 \u0631\u0627 \u0628\u0647 <code>read_csv<\/code> \u0631\u0648\u0634 \u0648 \u0645\u06cc \u062f\u0627\u0646\u0633\u062a \u06a9\u0647 \u062f\u0627\u06cc\u0631\u06a9\u062a\u0648\u0631\u06cc \u0641\u0639\u0644\u06cc \u06a9\u0627\u0631 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0627\u06af\u0631 \u0641\u0627\u06cc\u0644 \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u0645\u0633\u06cc\u0631 \u062f\u06cc\u06af\u0631\u06cc \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f\u060c \u0645\u0637\u0645\u0626\u0646 \u0634\u0648\u06cc\u062f \u06a9\u0647 \u0645\u0633\u06cc\u0631 \u0635\u062d\u06cc\u062d \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0645\u062a\u062f \u0627\u0631\u0633\u0627\u0644 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f.  \u0627\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u06cc\u06a9 \u0645\u0633\u06cc\u0631 \u0646\u0633\u0628\u06cc \u0628\u0627\u0634\u062f\u060c \u0645\u0627\u0646\u0646\u062f &#8220;..\/cars.csv&#8221;\u060c \u06cc\u0627 \u06cc\u06a9 \u0645\u0633\u06cc\u0631 \u0645\u0637\u0644\u0642 \u0645\u0627\u0646\u0646\u062f &#8220;\/Users\/nicholas\/data\/cars.csv&#8221;.<\/p>\n<p>\u062f\u0631 \u0628\u0631\u062e\u06cc \u0645\u0648\u0627\u0631\u062f\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0647\u0632\u0627\u0631\u0627\u0646 \u0631\u062f\u06cc\u0641 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.  \u062f\u0631 \u0686\u0646\u06cc\u0646 \u0634\u0631\u0627\u06cc\u0637\u06cc \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0645\u0641\u06cc\u062f\u062a\u0631 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f print \u0641\u0642\u0637 \u0686\u0646\u062f \u0631\u062f\u06cc\u0641 \u0627\u0648\u0644 \u0631\u0648\u06cc \u0631\u0627 console \u0628\u0647 \u062c\u0627\u06cc \u0686\u0627\u067e \u062a\u0645\u0627\u0645 \u0631\u062f\u06cc\u0641 \u0647\u0627.<\/p>\n<p>\u0627\u06cc\u0646 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u062a\u0645\u0627\u0633 \u06af\u0631\u0641\u062a\u0646 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f <code>head()<\/code> \u0631\u0648\u0634 \u0631\u0648\u06cc DataFrame \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631:<\/p>\n<pre><code class=\"hljs\">data.head()\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627 \u062f\u0631 \u0628\u0627\u0644\u0627\u060c \u062f\u0633\u062a\u0648\u0631 \u0628\u0627\u0644\u0627 \u0641\u0642\u0637 5 \u0631\u062f\u06cc\u0641 \u0627\u0648\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f \u0648 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0646\u0645\u0648\u0646\u0647 \u06a9\u0648\u0686\u06a9\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f.  \u0627\u06cc\u0646 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">  Number     Type  Capacity\n0    SSD   Premio      1800\n1    KCN  Fielder      1500\n2    USG     Benz      2200\n3    TCH      BMW      2000\n4    KBQ    Range      3500\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 <code>loc()<\/code> \u0645\u062a\u062f \u06cc\u06a9 \u0627\u0628\u0632\u0627\u0631 \u062e\u0648\u0628 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u0641\u0642\u0637 \u0631\u062f\u06cc\u0641 \u0647\u0627\u06cc \u062e\u0627\u0635\u06cc \u0627\u0632 \u06cc\u06a9 \u0633\u062a\u0648\u0646 \u062e\u0627\u0635 \u0631\u0627 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u062e\u0648\u0627\u0646\u06cc\u0645\u060c \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\ndata = pd.read_csv(<span class=\"hljs-string\">'cars.csv'<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span> (data.loc((<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">4<\/span>, <span class=\"hljs-number\">7<\/span>), (<span class=\"hljs-string\">'Type'<\/span>)))\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\"> Type\n0   Premio\n4    Range\n7  Fielder\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0627 \u0627\u0632 <code>loc()<\/code> \u0631\u0648\u0634 \u0641\u0642\u0637 \u062e\u0648\u0627\u0646\u062f\u0646 \u0639\u0646\u0627\u0635\u0631 \u062f\u0631 \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc 0\u060c 4\u060c \u0648 7 \u0627\u0632 <em>\u062a\u0627\u06cc\u067e \u06a9\u0646\u06cc\u062f<\/em> \u0633\u062a\u0648\u0646<\/p>\n<p>\u06af\u0627\u0647\u06cc \u0627\u0648\u0642\u0627\u062a Wwe \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0646\u06cc\u0627\u0632 \u0628\u0647 \u062e\u0648\u0627\u0646\u062f\u0646 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u062e\u0627\u0635 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f \u0648 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u0631\u0627 \u0646\u062e\u0648\u0627\u0646\u062f.  \u0627\u06cc\u0646 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>loc()<\/code> \u0631\u0648\u0634 \u0646\u06cc\u0632 \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\ndata = pd.read_csv(<span class=\"hljs-string\">'cars.csv'<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span> (data.loc(:, (<span class=\"hljs-string\">'Type'<\/span>, <span class=\"hljs-string\">'Capacity'<\/span>)))\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">Type  Capacity\n0   Premio      1800\n1  Fielder      1500\n2     Benz      2200\n3      BMW      2000\n4    Range      3500\n5   Premio      1800\n6     Benz      2200\n7  Fielder      1500\n8      BMW      2000\n9    Range      3200\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0627 \u0627\u0632 <code>loc()<\/code> \u0631\u0648\u0634 \u062e\u0648\u0627\u0646\u062f\u0646 \u0647\u0645\u0647 \u0633\u0637\u0631\u0647\u0627 (the <code>:<\/code> \u0642\u0633\u0645\u062a) \u062a\u0646\u0647\u0627 \u0627\u0632 \u062f\u0648 \u0633\u062a\u0648\u0646 \u0645\u0627 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u06cc\u0639\u0646\u06cc the <em>\u062a\u0627\u06cc\u067e \u06a9\u0646\u06cc\u062f<\/em> \u0648 <em>\u0638\u0631\u0641\u06cc\u062a<\/em> \u0633\u062a\u0648\u0646 \u0647\u0627\u060c \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0645\u0634\u062e\u0635 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<h3 id=\"importingexceldata\"><span class=\"ez-toc-section\" id=\"%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d8%a7%da%a9%d8%b3%d9%84\"><\/span>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u06a9\u0633\u0644<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 <code>read_csv<\/code> \u0631\u0648\u0634\u060c \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0646\u06cc\u0632 \u062f\u0627\u0631\u0627\u06cc <code>read_excel<\/code> \u062a\u0627\u0628\u0639\u06cc \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc Excel \u062f\u0631 \u06cc\u06a9 Pandas DataFrame \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0627\u0632 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0627\u06a9\u0633\u0644 \u0628\u0647 \u0646\u0627\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <em>\u06a9\u0627\u0631\u06af\u0631\u0627\u0646.xlsx<\/em> \u0628\u0627 \u0645\u0634\u062e\u0635\u0627\u062a \u06a9\u0627\u0631\u06af\u0631\u0627\u0646 \u062f\u0631 \u06cc\u06a9 \u0634\u0631\u06a9\u062a<\/p>\n<p>\u06a9\u062f \u0632\u06cc\u0631 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062d\u062a\u0648\u0627\u06cc \u0641\u0627\u06cc\u0644 \u0627\u06a9\u0633\u0644 \u062f\u0631 Pandas DataFrame \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\ndata = pd.read_excel(<span class=\"hljs-string\">'workers.xlsx'<\/span>)\n<span class=\"hljs-built_in\">print<\/span> (data)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">  ID    Name      Dept  Salary\n0   1    John       ICT    3000\n1   2    Kate   Finance    2500\n2   3  Joseph        HR    3500\n3   4  George       ICT    2500\n4   5    Lucy     Legal    3200\n5   6   David   Library    2000\n6   7   James        HR    2000\n7   8   Alice  Security    1500\n8   9   Bosco   Kitchen    1000\n9  10    Mike       ICT    3300\n<\/code><\/pre>\n<p>\u067e\u0633 \u0627\u0632 \u062a\u0645\u0627\u0633 \u0628\u0627 <code>read_excel<\/code> \u062a\u0627\u0628\u0639 \u0645\u0627 \u0633\u067e\u0633 \u0646\u0627\u0645 \u0641\u0627\u06cc\u0644 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0631\u062f\u06cc\u0645 \u06a9\u0647 <code>read_excel<\/code> \u0628\u0631\u0627\u06cc \u0628\u0627\u0632 \u06a9\u0631\u062f\u0646\/\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0641\u0627\u06cc\u0644 \u0648 \u0633\u067e\u0633 \u062a\u062c\u0632\u06cc\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0627\u06cc\u0646 <code>print()<\/code> \u0633\u067e\u0633 \u062a\u0627\u0628\u0639 \u0628\u0647 \u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0645\u062d\u062a\u0648\u06cc\u0627\u062a DataFrame \u0631\u0627 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0647\u06cc\u0645\u060c \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0645\u062b\u0627\u0644 \u0647\u0627\u06cc \u06af\u0630\u0634\u062a\u0647 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647 \u0627\u06cc\u0645.<\/p>\n<p>\u0648 \u062f\u0631\u0633\u062a \u0645\u0627\u0646\u0646\u062f \u0645\u062b\u0627\u0644 CSV \u0645\u0627\u060c \u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0622\u0646 \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0631\u062f <code>loc()<\/code> \u0631\u0648\u0634\u06cc \u0628\u0631\u0627\u06cc \u06a9\u0645\u06a9 \u0628\u0647 \u0645\u0627 \u062f\u0631 \u062e\u0648\u0627\u0646\u062f\u0646 \u0633\u0637\u0631\u0647\u0627 \u0648 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u062e\u0627\u0635 \u0627\u0632 \u0641\u0627\u06cc\u0644 \u0627\u06a9\u0633\u0644.<\/p>\n<p>\u0645\u062b\u0644\u0627:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\ndata = pd.read_excel(<span class=\"hljs-string\">'workers.xlsx'<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span> (data.loc((<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">4<\/span>,<span class=\"hljs-number\">7<\/span>),(<span class=\"hljs-string\">'Name'<\/span>,<span class=\"hljs-string\">'Salary'<\/span>)))\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">Name  Salary\n1   Kate    2500\n4   Lucy    3200\n7  Alice    1500\n<\/code><\/pre>\n<p>\u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 <code>loc()<\/code> \u0631\u0648\u0634 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc <em>\u0646\u0627\u0645<\/em> \u0648 <em>\u062d\u0642\u0648\u0642<\/em> \u0645\u0642\u0627\u062f\u06cc\u0631 \u0639\u0646\u0627\u0635\u0631 \u062f\u0631 \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc 1\u060c 4 \u0648 7.<\/p>\n<p>Pandas \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0647 \u0645\u0627 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u062a\u0627 \u0627\u0632 \u062f\u0648 \u0635\u0641\u062d\u0647 \u0627\u06a9\u0633\u0644 \u0628\u0647 \u0637\u0648\u0631 \u0647\u0645\u0632\u0645\u0627\u0646 \u0628\u062e\u0648\u0627\u0646\u06cc\u0645.  \u0641\u0631\u0636 \u06a9\u0646\u06cc\u062f \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0642\u0628\u0644\u06cc \u0645\u0627 \u062f\u0631 Sheet1 \u0627\u0633\u062a \u0648 \u0645\u0627 \u062f\u0631 Sheet2 \u0647\u0645\u0627\u0646 \u0641\u0627\u06cc\u0644 \u0627\u06a9\u0633\u0644 \u062a\u0639\u062f\u0627\u062f\u06cc \u062f\u0627\u062f\u0647 \u062f\u06cc\u06af\u0631 \u062f\u0627\u0631\u06cc\u0645.  \u06a9\u062f \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u062f\u0648 \u0635\u0641\u062d\u0647 \u0628\u0647 \u0637\u0648\u0631 \u0647\u0645\u0632\u0645\u0627\u0646 \u0628\u062e\u0648\u0627\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">with<\/span> pd.ExcelFile(<span class=\"hljs-string\">'workers.xlsx'<\/span>) <span class=\"hljs-keyword\">as<\/span> x:\n    s1 = pd.read_excel(x, <span class=\"hljs-string\">'Sheet1'<\/span>)\n    s2 = pd.read_excel(x, <span class=\"hljs-string\">'Sheet2'<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Sheet 1:\"<\/span>)\n<span class=\"hljs-built_in\">print<\/span> (s1)\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"\"<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Sheet 2:\"<\/span>)\n<span class=\"hljs-built_in\">print<\/span> (s2)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">Sheet 1:\n   ID    Name      Dept  Salary\n0   1    John       ICT    3000\n1   2    Kate   Finance    2500\n2   3  Joseph        HR    3500\n3   4  George       ICT    2500\n4   5    Lucy     Legal    3200\n5   6   David   Library    2000\n6   7   James        HR    2000\n7   8   Alice  Security    1500\n8   9   Bosco   Kitchen    1000\n9  10    Mike       ICT    3300\n\nSheet 2:\n   ID    Name  Age  Retire\n0   1    John   55    1402\n1   2    Kate   45    2033\n2   3  Joseph   55    1402\n3   4  George   35    2043\n4   5    Lucy   42    2036\n5   6   David   50    2028\n6   7   James   30    2048\n7   8   Alice   24    2054\n8   9   Bosco   33    2045\n9  10    Mike   35    2043\n<\/code><\/pre>\n<p>\u0627\u062a\u0641\u0627\u0642\u06cc \u06a9\u0647 \u0627\u0641\u062a\u0627\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0627\u06cc\u0646\u0647\u0627 \u0631\u0627 \u0628\u0627 \u0647\u0645 \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0631\u062f\u06cc\u0645 <code>read_excel()<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0627 <code>ExcelFile<\/code> \u06a9\u0644\u0627\u0633 \u0644\u0641\u0627\u0641  \u0645\u062a\u063a\u06cc\u0631 <code>x<\/code> \u0647\u0646\u06af\u0627\u0645 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u06a9\u0644\u0627\u0633 wrapper \u0648 \u0627\u06cc\u062c\u0627\u062f \u0634\u062f <code>with<\/code> \u06a9\u0644\u0645\u0647 \u06a9\u0644\u06cc\u062f\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0628\u0627\u0632 \u06a9\u0631\u062f\u0646 \u0645\u0648\u0642\u062a \u0641\u0627\u06cc\u0644 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0627\u0632 <code>ExcelFile<\/code> \u0645\u062a\u063a\u06cc\u0631 <code>x<\/code>\u060c \u0645\u0627 \u062f\u0648 \u0645\u062a\u063a\u06cc\u0631 \u062f\u06cc\u06af\u0631 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645\u060c <code>s1<\/code> \u0648 <code>s2<\/code> \u0628\u0631\u0627\u06cc \u0646\u0645\u0627\u06cc\u0634 \u0645\u0637\u0627\u0644\u0628\u06cc \u06a9\u0647 \u0627\u0632 \u0628\u0631\u06af\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062e\u0648\u0627\u0646\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0633\u067e\u0633 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u06cc\u0645 <code>print<\/code> \u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u0645\u062d\u062a\u0648\u06cc\u0627\u062a \u062f\u0648 \u0628\u0631\u06af\u0647 \u062f\u0631 console.  \u062c\u0627\u06cc \u062e\u0627\u0644\u06cc <code>print<\/code> \u0628\u06cc\u0627\u0646\u06cc\u0647\u060c <code>print(\"\")<\/code>\u060c \u0641\u0642\u0637 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f print \u06cc\u06a9 \u062e\u0637 \u062e\u0627\u0644\u06cc \u0628\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0631\u06af\u0647 \u0645\u0627.<\/p>\n<h2 id=\"datawrangling\"><span class=\"ez-toc-section\" id=\"%d8%ac%d8%af%d8%a7%d9%84_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\"><\/span>\u062c\u062f\u0627\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u062d\u062b \u0648 \u062c\u062f\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a process \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u06cc.  \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0632 \u0641\u0631\u0622\u06cc\u0646\u062f\u0647\u0627\u06cc \u062c\u062f\u0627\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0634\u0627\u0645\u0644 \u0627\u062f\u063a\u0627\u0645\u060c \u06af\u0631\u0648\u0647 \u0628\u0646\u062f\u06cc \u0648 \u0627\u0644\u062d\u0627\u0642 \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0646\u0648\u0639 \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u0627\u063a\u0644\u0628 \u062f\u0631 \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a \u062a\u0627 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0634\u0645\u0627 \u0628\u0647 \u0634\u06a9\u0644\u06cc \u062f\u0631\u0622\u06cc\u0646\u062f \u06a9\u0647 \u0628\u0627 \u0647\u0631 \u062a\u062d\u0644\u06cc\u0644 \u06cc\u0627 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u06cc \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0647 \u062e\u0648\u0628\u06cc \u06a9\u0627\u0631 \u06a9\u0646\u062f.<\/p>\n<h3 id=\"merging\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%af%d8%ba%d8%a7%d9%85\"><\/span>\u0627\u062f\u063a\u0627\u0645<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Pandas \u0628\u0647 \u0645\u0627 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0631\u0627 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0628\u0647 \u0627\u0634\u06cc\u0627\u0621 DataFrame \u0627\u0632 \u0637\u0631\u06cc\u0642 <code>merge()<\/code> \u062a\u0627\u0628\u0639.  \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u062f\u0648 DataFrame \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u0648 \u0631\u0648\u0634 \u0627\u062f\u063a\u0627\u0645 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0646\u0634\u0627\u0646 \u062f\u0647\u06cc\u0645.<\/p>\n<p>\u0627\u06cc\u0646 \u0627\u0648\u0644\u06cc\u0646 DataFrame \u0627\u0633\u062a\u060c <code>df1<\/code>:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n\nd = {\n    <span class=\"hljs-string\">'subject_id'<\/span>: (<span class=\"hljs-string\">'1'<\/span>, <span class=\"hljs-string\">'2'<\/span>, <span class=\"hljs-string\">'3'<\/span>, <span class=\"hljs-string\">'4'<\/span>, <span class=\"hljs-string\">'5'<\/span>),\n    <span class=\"hljs-string\">'student_name'<\/span>: (<span class=\"hljs-string\">'John'<\/span>, <span class=\"hljs-string\">'Emily'<\/span>, <span class=\"hljs-string\">'Kate'<\/span>, <span class=\"hljs-string\">'Joseph'<\/span>, <span class=\"hljs-string\">'Dennis'<\/span>)\n}\ndf1 = pd.DataFrame(d, columns=(<span class=\"hljs-string\">'subject_id'<\/span>, <span class=\"hljs-string\">'student_name'<\/span>))\n<span class=\"hljs-built_in\">print<\/span>(df1)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">subject_id student_name\n0          1         John\n1          2        Emily\n2          3         Kate\n3          4       Joseph\n4          5       Dennis\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06a9\u062f \u0627\u06cc\u062c\u0627\u062f DataFrame \u062f\u0648\u0645 \u0627\u0633\u062a\u060c <code>df2<\/code>:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n\ndata = {\n    <span class=\"hljs-string\">'subject_id'<\/span>: (<span class=\"hljs-string\">'4'<\/span>, <span class=\"hljs-string\">'5'<\/span>, <span class=\"hljs-string\">'6'<\/span>, <span class=\"hljs-string\">'7'<\/span>, <span class=\"hljs-string\">'8'<\/span>),\n    <span class=\"hljs-string\">'student_name'<\/span>: (<span class=\"hljs-string\">'Brian'<\/span>, <span class=\"hljs-string\">'William'<\/span>, <span class=\"hljs-string\">'Lilian'<\/span>, <span class=\"hljs-string\">'Grace'<\/span>, <span class=\"hljs-string\">'Caleb'<\/span>)\n}\ndf2 = pd.DataFrame(data, columns=(<span class=\"hljs-string\">'subject_id'<\/span>, <span class=\"hljs-string\">'student_name'<\/span>))\n<span class=\"hljs-built_in\">print<\/span>(df2)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">subject_id student_name\n0          4        Brian\n1          5      William\n2          6       Lilian\n3          7        Grace\n4          8        Caleb\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0628\u0627\u06cc\u062f \u062f\u0648 DataFrame \u0631\u0627 \u0627\u062f\u063a\u0627\u0645 \u06a9\u0646\u06cc\u0645\u060c \u06cc\u0639\u0646\u06cc <code>df1<\/code> \u0648 <code>df2<\/code> \u062f\u0631 \u0627\u0645\u062a\u062f\u0627\u062f \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc <code>subject_id<\/code>.  \u0645\u0627 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u062a\u0645\u0627\u0633 \u0645\u06cc \u06af\u06cc\u0631\u06cc\u0645 <code>merge()<\/code> \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0639\u0645\u0644 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">pd.merge(df1, df2, \u0631\u0648\u06cc=<span class=\"hljs-string\">'subject_id'<\/span>)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">subject_id student_name_x student_name_y\n0          4         Joseph          Brian\n1          5         Dennis        William\n<\/code><\/pre>\n<p>\u06a9\u0627\u0631\u06cc \u06a9\u0647 \u0627\u062f\u063a\u0627\u0645 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0633\u0637\u0631\u0647\u0627\u06cc\u06cc \u0631\u0627 \u0627\u0632 \u0647\u0631 \u062f\u0648 DataFrame \u0628\u0627 \u0647\u0645\u0627\u0646 \u0645\u0642\u062f\u0627\u0631 \u0633\u062a\u0648\u0646\u06cc \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u062f\u063a\u0627\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f.<\/p>\n<p>\u0631\u0627\u0647 \u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f <code>pd.merge<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f\u06cc \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0622\u0646 \u0646\u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u06cc\u0645\u060c \u0645\u0627\u0646\u0646\u062f \u0627\u06cc\u0646\u06a9\u0647 \u0686\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0628\u0627\u06cc\u062f \u0627\u062f\u063a\u0627\u0645 \u0634\u0648\u0646\u062f\u060c \u0686\u06af\u0648\u0646\u0647 \u0628\u0627\u06cc\u062f \u0627\u062f\u063a\u0627\u0645 \u0634\u0648\u0646\u062f\u060c \u0622\u06cc\u0627 \u0628\u0627\u06cc\u062f \u0645\u0631\u062a\u0628 \u0634\u0648\u0646\u062f \u0648 \u063a\u06cc\u0631\u0647. \u0628\u0631\u0627\u06cc \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u06cc\u0634\u062a\u0631\u060c \u0627\u0633\u0646\u0627\u062f \u0631\u0633\u0645\u06cc \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f. \u0631\u0648\u06cc \u0631\u0627 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/generated\/pandas.DataFrame.merge.html\">\u062a\u0627\u0628\u0639 \u0627\u062f\u063a\u0627\u0645<\/a>.<\/p>\n<h3 id=\"grouping\"><span class=\"ez-toc-section\" id=\"%da%af%d8%b1%d9%88%d9%87_%d8%a8%d9%86%d8%af%db%8c\"><\/span>\u06af\u0631\u0648\u0647 \u0628\u0646\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u06af\u0631\u0648\u0647 \u0628\u0646\u062f\u06cc \u0627\u0633\u062a process \u0642\u0631\u0627\u0631 \u062f\u0627\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u062f\u0633\u062a\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u0633\u0627\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">\n<span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n\nraw = {\n    <span class=\"hljs-string\">'Name'<\/span>: (<span class=\"hljs-string\">'John'<\/span>, <span class=\"hljs-string\">'John'<\/span>, <span class=\"hljs-string\">'Grace'<\/span>, <span class=\"hljs-string\">'Grace'<\/span>, <span class=\"hljs-string\">'Benjamin'<\/span>, <span class=\"hljs-string\">'Benjamin'<\/span>, <span class=\"hljs-string\">'Benjamin'<\/span>,\n        <span class=\"hljs-string\">'Benjamin'<\/span>, <span class=\"hljs-string\">'John'<\/span>, <span class=\"hljs-string\">'Alex'<\/span>, <span class=\"hljs-string\">'Alex'<\/span>, <span class=\"hljs-string\">'Alex'<\/span>),\n    <span class=\"hljs-string\">'Position'<\/span>: (<span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">4<\/span>, <span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">4<\/span>, <span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">4<\/span>, <span class=\"hljs-number\">3<\/span>),\n    <span class=\"hljs-string\">'Year'<\/span>: (<span class=\"hljs-number\">2009<\/span>, <span class=\"hljs-number\">2010<\/span>, <span class=\"hljs-number\">2009<\/span>, <span class=\"hljs-number\">2010<\/span>, <span class=\"hljs-number\">2010<\/span>, <span class=\"hljs-number\">2010<\/span>, <span class=\"hljs-number\">2011<\/span>, <span class=\"hljs-number\">2012<\/span>, <span class=\"hljs-number\">2011<\/span>, <span class=\"hljs-number\">2013<\/span>, <span class=\"hljs-number\">2013<\/span>, <span class=\"hljs-number\">2012<\/span>),\n    <span class=\"hljs-string\">'Marks'<\/span>:(<span class=\"hljs-number\">408<\/span>, <span class=\"hljs-number\">398<\/span>, <span class=\"hljs-number\">422<\/span>, <span class=\"hljs-number\">376<\/span>, <span class=\"hljs-number\">401<\/span>, <span class=\"hljs-number\">380<\/span>, <span class=\"hljs-number\">396<\/span>, <span class=\"hljs-number\">388<\/span>, <span class=\"hljs-number\">356<\/span>, <span class=\"hljs-number\">402<\/span>, <span class=\"hljs-number\">368<\/span>, <span class=\"hljs-number\">378<\/span>)\n}\ndf = pd.DataFrame(raw)\n\ngroup = df.groupby(<span class=\"hljs-string\">'Year'<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(group.get_group(<span class=\"hljs-number\">2010<\/span>))\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">   Marks      Name  Position  Year\n1    398      John         1  2010\n3    376     Grace         4  2010\n5    380  Benjamin         4  2010\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0633\u0627\u062f\u0647\u060c \u0645\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0633\u0627\u0644 \u06af\u0631\u0648\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f 2010 \u0628\u0648\u062f. \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u0633\u062a\u06cc\u0645 \u0628\u0627 \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u0645\u0627\u0646\u0646\u062f &#8220;Name&#8221;\u060c &#8220;Position&#8221; \u0648 \u063a\u06cc\u0631\u0647 \u06af\u0631\u0648\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<h3 id=\"concatenation\"><span class=\"ez-toc-section\" id=\"%d8%a7%d9%84%d8%ad%d8%a7%d9%82\"><\/span>\u0627\u0644\u062d\u0627\u0642<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u0644\u062d\u0627\u0642 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u06a9\u0647 \u0627\u0633\u0627\u0633\u0627\u064b \u0628\u0647 \u0645\u0639\u0646\u0627\u06cc \u0627\u0641\u0632\u0648\u062f\u0646 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u06cc\u06af\u0631 \u0627\u0633\u062a\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f <code>concat()<\/code> \u062a\u0627\u0628\u0639.<\/p>\n<p>\u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0631\u0648\u0634 \u0628\u0647 \u0647\u0645 \u067e\u06cc\u0648\u0633\u062a\u0646 DataFrame \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0648 Dataframe \u0642\u0628\u0644\u06cc \u062e\u0648\u062f \u0646\u0634\u0627\u0646 \u062f\u0647\u06cc\u0645\u060c \u06cc\u0639\u0646\u06cc <code>df1<\/code> \u0648 <code>df2<\/code>\u060c \u0647\u0631 \u06a9\u062f\u0627\u0645 \u062f\u0627\u0631\u0627\u06cc \u062f\u0648 \u0633\u062a\u0648\u0646\u060c &#8220;subject_id&#8221; \u0648 &#8220;student_name&#8221;:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">print<\/span>(pd.concat((df1, df2)))\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">subject_id student_name\n0          1         John\n1          2        Emily\n2          3         Kate\n3          4       Joseph\n4          5       Dennis\n0          4        Brian\n1          5      William\n2          6       Lilian\n3          7        Grace\n4          8        Caleb\n<\/code><\/pre>\n<h2 id=\"descriptivestatistics\"><span class=\"ez-toc-section\" id=\"%d8%a2%d9%85%d8%a7%d8%b1_%d8%aa%d9%88%d8%b5%db%8c%d9%81%db%8c\"><\/span>\u0622\u0645\u0627\u0631 \u062a\u0648\u0635\u06cc\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u0628\u0647 \u0637\u0648\u0631 \u062e\u0644\u0627\u0635\u0647 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0645\u060c \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0645\u0627 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>describe()<\/code> \u062a\u0627\u0628\u0639\u060c \u0622\u0645\u0627\u0631 \u062a\u0648\u0635\u06cc\u0641\u06cc \u0628\u0631\u0627\u06cc \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645\u060c \u0627\u0645\u0627 \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u06a9\u0627\u0631\u0627\u06a9\u062a\u0631\u06cc \u062d\u0630\u0641 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u0628\u062a\u062f\u0627 \u06cc\u06a9 DataFrame \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0627\u0633\u0627\u0645\u06cc \u062f\u0627\u0646\u0634 \u0622\u0645\u0648\u0632\u0627\u0646 \u0648 \u0646\u0645\u0631\u0627\u062a \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0631\u06cc\u0627\u0636\u06cc \u0648 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n \ndata = {\n    <span class=\"hljs-string\">'Name'<\/span>: (<span class=\"hljs-string\">'John'<\/span>, <span class=\"hljs-string\">'Alice'<\/span>, <span class=\"hljs-string\">'Joseph'<\/span>, <span class=\"hljs-string\">'Alex'<\/span>),\n    <span class=\"hljs-string\">'English'<\/span>: (<span class=\"hljs-number\">64<\/span>, <span class=\"hljs-number\">78<\/span>, <span class=\"hljs-number\">68<\/span>, <span class=\"hljs-number\">58<\/span>),\n    <span class=\"hljs-string\">'Maths'<\/span>: (<span class=\"hljs-number\">76<\/span>, <span class=\"hljs-number\">54<\/span>, <span class=\"hljs-number\">72<\/span>, <span class=\"hljs-number\">64<\/span>)\n}\n\ndf = pd.DataFrame(data)\n<span class=\"hljs-built_in\">print<\/span>(df)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\"> English  Maths    Name\n0       64     76    John\n1       78     54   Alice\n2       68     72  Joseph\n3       58     64    Alex\n<\/code><\/pre>\n<p>\u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u0632\u0646\u06af \u0628\u0632\u0646\u06cc\u0645 <code>describe()<\/code> \u062a\u0627\u0628\u0639 \u0631\u0648\u06cc DataFrame \u0648 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u0627\u0646\u0646\u062f \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646\u060c \u0627\u0646\u062d\u0631\u0627\u0641 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f\u060c \u0645\u06cc\u0627\u0646\u0647\u060c \u062d\u062f\u0627\u06a9\u062b\u0631 \u0639\u0646\u0635\u0631\u060c \u0639\u0646\u0635\u0631 \u062d\u062f\u0627\u0642\u0644 \u0648 \u063a\u06cc\u0631\u0647 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">df.describe()\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">   English      Maths\ncount   4.000000   4.000000\nmean   67.000000  66.500000\nstd     8.406347   9.712535\nmin    58.000000  54.000000\n25%    62.500000  61.500000\n50%    66.000000  68.000000\n75%    70.500000  73.000000\nmax    78.000000  76.000000\n<\/code><\/pre>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f\u060c <code>describe()<\/code> \u0645\u062a\u062f \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0627\u0645\u0644 \u0633\u062a\u0648\u0646 &#8220;Name&#8221; \u0631\u0627 \u0646\u0627\u062f\u06cc\u062f\u0647 \u06af\u0631\u0641\u062a \u0632\u06cc\u0631\u0627 \u0639\u062f\u062f\u06cc \u0646\u06cc\u0633\u062a\u060c \u0686\u06cc\u0632\u06cc \u06a9\u0647 \u0645\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645.  \u0627\u06cc\u0646 \u06a9\u0627\u0631\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0645\u0627\u0633 \u06af\u06cc\u0631\u0646\u062f\u0647 \u0633\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f \u0632\u06cc\u0631\u0627 \u0644\u0627\u0632\u0645 \u0646\u06cc\u0633\u062a \u0642\u0628\u0644 \u0627\u0632 \u0645\u062d\u0627\u0633\u0628\u0647 \u0622\u0645\u0627\u0631 \u0639\u062f\u062f\u06cc \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u062f\u0631 \u0645\u0648\u0631\u062f \u062d\u0630\u0641 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u063a\u06cc\u0631 \u0639\u062f\u062f\u06cc \u0646\u06af\u0631\u0627\u0646 \u0628\u0627\u0634\u06cc\u062f.<\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Pandas \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0641\u06cc\u062f \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a\u060c \u0628\u0647 \u0648\u06cc\u0698\u0647 \u0628\u0631\u0627\u06cc \u0639\u0644\u0645 \u062f\u0627\u062f\u0647.  \u0639\u0645\u0644\u06a9\u0631\u062f\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u067e\u0627\u0646\u062f\u0627\u0647\u0627\u060c \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f.  \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0645\u0639\u0631\u0641\u06cc \u0645\u062e\u062a\u0635\u0631\u06cc \u0627\u0632 \u0639\u0645\u0644\u06a9\u0631\u062f\u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u062f.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647\u060c \u0646\u0645\u0648\u0646\u0647\u200c\u0647\u0627\u06cc \u06a9\u0627\u0631\u06cc \u0627\u0632 \u062a\u0645\u0627\u0645 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0631\u0627 \u062f\u06cc\u062f\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u067e\u0627\u0646\u062f\u0627\u0647\u0627\u060c \u0628\u0647 \u0634\u0645\u0627 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc\u200c\u06a9\u0646\u0645 \u0646\u0645\u0648\u0646\u0647\u200c\u0647\u0627\u06cc \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u062a\u0645\u0631\u06cc\u0646 \u06a9\u0646\u06cc\u062f \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0631\u0627 \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f.  \u06a9\u062f \u0646\u0648\u06cc\u0633\u06cc \u0645\u0628\u0627\u0631\u06a9!<\/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 1403-01-27 11:44:04<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;16584&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;\u0622\u0645\u0648\u0632\u0634 \u0645\u0628\u062a\u062f\u06cc \u0631\u0648\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u067e\u0627\u06cc\u062a\u0648\u0646 \u067e\u0627\u0646\u062f\u0627\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\"> 12<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>Pandas \u06cc\u06a9 \u0628\u0633\u062a\u0647 \u0645\u0646\u0628\u0639 \u0628\u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f\u06cc \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f. \u0627\u06cc\u0646 \u0628\u0633\u062a\u0647 \u062f\u0627\u0631\u0627\u06cc \u0686\u0646\u062f\u06cc\u0646 \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u06a9\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f. \u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0627\u0631\u0627\u06cc \u0631\u0648\u0634 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0632 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":9759,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-16584","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\/16584","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=16584"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16584\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/9759"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16584"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16584"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16584"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}