{"id":1516,"date":"2023-07-26T01:35:25","date_gmt":"2023-07-26T01:35:25","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/"},"modified":"2023-07-26T01:35:25","modified_gmt":"2023-07-26T01:35:25","slug":"%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 dataframe \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\">\u0641\u064a \u0643\u062b\u064a\u0631 \u0645\u0646 \u0627\u0644\u0623\u062d\u064a\u0627\u0646 \u0642\u062f \u062a\u0631\u063a\u0628 \u0641\u064a \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u062d\u0633\u0646 \u0627\u0644\u062d\u0638\u060c \u0645\u0646 \u0627\u0644\u0633\u0647\u0644 \u0627\u0644\u0642\u064a\u0627\u0645 \u0628\u0630\u0644\u0643 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u064a\u0641\u0629 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.html\" target=\"_blank\" rel=\"noopener\">pandas.DataFrame<\/a> \u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>pandas.DataFrame (\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a = \u0644\u0627 \u0634\u064a\u0621\u060c \u0627\u0644\u0641\u0647\u0631\u0633 = \u0644\u0627 \u0634\u064a\u0621\u060c \u0627\u0644\u0623\u0639\u0645\u062f\u0629 = \u0644\u0627 \u0634\u064a\u0621\u060c &#8230;)<\/strong><\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0630\u0647\u0628:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a:<\/strong> \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0637\u0644\u0648\u0628 \u062a\u062d\u0648\u064a\u0644\u0647\u0627 \u0625\u0644\u0649 DataFrame<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0641\u0647\u0631\u0633:<\/strong> \u0627\u0644\u0641\u0647\u0631\u0633 \u0627\u0644\u0630\u064a \u0633\u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647 \u0644\u0640 DataFrame \u0627\u0644\u0646\u0627\u062a\u062c<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0623\u0639\u0645\u062f\u0629:<\/strong> \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u0627 \u0641\u064a DataFrame \u0627\u0644\u0646\u0627\u062a\u062c<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0642\u062f\u0645 \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629 \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0639\u0645\u0644\u064a \u0644\u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629.<\/span><\/p>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0645\u062b\u0627\u0644 1: \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 Pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create list that contains points scored by 10 basketball players<\/span>\ndata = [4, 14, 17, 22, 26, 29, 33, 35, 35, 38]\n\n<span style=\"color: #008080;\">#convert list to DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns=[' <span style=\"color: #008000;\">points<\/span> '])\n\n<span style=\"color: #008080;\">#view resulting DataFrame<\/span>\n<span style=\"color: #993300;\">print<\/span> (df)\n\n       points\n0 4\n1 14\n2 17\n3 22\n4 26\n5 29\n6 33\n7 35<\/strong><\/pre>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0645\u062b\u0627\u0644 2: \u062a\u062d\u0648\u064a\u0644 \u0642\u0648\u0627\u0626\u0645 \u0645\u062a\u0639\u062f\u062f\u0629 \u0625\u0644\u0649 DataFrame<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0648\u0627\u0626\u0645 \u0645\u062a\u0639\u062f\u062f\u0629 \u0625\u0644\u0649 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define lists\n<\/span><span style=\"color: #000000;\">points = [4, 14, 17, 22, 26, 29, 33, 35, 35, 38]\nrebounds = [1, 4, 4, 5, 8, 7, 5, 6, 9, 11]\n\n<span style=\"color: #008080;\">#convert lists into a single list\n<\/span>data = []\ndata. <span style=\"color: #3366ff;\">append<\/span> (dots)\ndata. <span style=\"color: #3366ff;\">append<\/span> (rebounds)\n\n<span style=\"color: #008000;\"><span style=\"color: #008080;\">#view new list<\/span>\n<span style=\"color: #000000;\">data<\/span>\n\n<span style=\"color: #000000;\">[[4, 14, 17, 22, 26, 29, 33, 35, 35, 38], [1, 4, 4, 5, 8, 7, 5, 6, 9, 11]]<\/span>\n<\/span>\n<span style=\"color: #008080;\">#convert list into DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data). <span style=\"color: #3366ff;\">transpose<\/span> ()\ndf. <span style=\"color: #3366ff;\">columns<\/span> =[' <span style=\"color: #008000;\">points<\/span> ', ' <span style=\"color: #008000;\">rebounds<\/span> ']\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span>df\n\n       rebound points\n0 4 1\n1 14 4\n2 17 4\n3 22 5\n4 26 8\n5 29 7\n6 33 5\n7 35 6\n8 35 9\n9 38 11\n<\/span><\/strong><\/pre>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0645\u062b\u0627\u0644 3: \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0627\u0644\u0642\u0648\u0627\u0626\u0645 \u0625\u0644\u0649 DataFrame<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0627\u0644\u0642\u0648\u0627\u0626\u0645 \u0625\u0644\u0649 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define list of lists\n<\/span><span style=\"color: #000000;\">data = [[4, 1], [14, 4], [17, 4], [22, 5], [26, 8],\n        [29, 7], [33, 5], [35, 6], [35, 9], [38,11]]\n\n<span style=\"color: #008080;\">#convert list into DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns=[' <span style=\"color: #008000;\">points<\/span> ', ' <span style=\"color: #008000;\">rebounds<\/span> '])\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span>df\n\n       rebound points\n0 4 1\n1 14 4\n2 17 4\n3 22 5\n4 26 8\n5 29 7\n6 33 5\n7 35 6\n8 35 9\n9 38 11<\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u0644\u062a\u062d\u0642\u0642 \u0628\u0633\u0631\u0639\u0629 \u0645\u0646 \u0639\u062f\u062f \u0627\u0644\u0635\u0641\u0648\u0641 \u0648\u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a DataFrame \u0627\u0644\u0646\u0627\u062a\u062c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #107d3f;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#display number of rows and columns in DataFrame<\/span>\ndf.<\/span> <span style=\"color: #3366ff;\">shape\n<\/span><\/span><\/span>\n(10, 2)\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 DataFrame \u0627\u0644\u0646\u0627\u062a\u062c \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 <strong>10<\/strong> \u0635\u0641\u0648\u0641 <strong>\u0648\u0639\u0645\u0648\u062f\u064a\u0646<\/strong> .<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0627\u0633\u062a\u0631\u062f\u0627\u062f \u0623\u0633\u0645\u0627\u0621 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a DataFrame \u0627\u0644\u0646\u0627\u062a\u062c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#display column names of DataFrame<\/span>\nlist(df)\n<\/span>\n['points', 'rebounds']\n<\/strong><\/pre>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0634\u0631\u062d \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 DataFrame \u0625\u0644\u0649 \u0642\u0627\u0626\u0645\u0629 \u0641\u064a Pandas<br \/> \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0642\u0627\u0645\u0648\u0633 \u0625\u0644\u0649 DataFrame \u0641\u064a Pandas<br \/> <a href=\"https:\/\/statorials.org\/ar\/\u062a\u062d\u0648\u064a\u0644-\u0633\u0644\u0633\u0644\u0629-\u0627\u0655\u0644\u0649-\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0627\u0644\u0639\u0627\u064a\u0654\u0645\u0629\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0633\u0644\u0627\u0633\u0644 \u0625\u0644\u0649 \u062a\u0639\u0648\u064a\u0645 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0641\u064a \u0643\u062b\u064a\u0631 \u0645\u0646 \u0627\u0644\u0623\u062d\u064a\u0627\u0646 \u0642\u062f \u062a\u0631\u063a\u0628 \u0641\u064a \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646. \u0644\u062d\u0633\u0646 \u0627\u0644\u062d\u0638\u060c \u0645\u0646 \u0627\u0644\u0633\u0647\u0644 \u0627\u0644\u0642\u064a\u0627\u0645 \u0628\u0630\u0644\u0643 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u064a\u0641\u0629 pandas.DataFrame \u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a: pandas.DataFrame (\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a = \u0644\u0627 \u0634\u064a\u0621\u060c \u0627\u0644\u0641\u0647\u0631\u0633 = \u0644\u0627 \u0634\u064a\u0621\u060c \u0627\u0644\u0623\u0639\u0645\u062f\u0629 = \u0644\u0627 \u0634\u064a\u0621\u060c &#8230;) \u0630\u0647\u0628: \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a: \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0637\u0644\u0648\u0628 \u062a\u062d\u0648\u064a\u0644\u0647\u0627 \u0625\u0644\u0649 DataFrame \u0627\u0644\u0641\u0647\u0631\u0633: \u0627\u0644\u0641\u0647\u0631\u0633 \u0627\u0644\u0630\u064a \u0633\u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647 \u0644\u0640 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646 - Statorials<\/title>\n<meta name=\"description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a Python\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ar\/\u0642\u0627\u064a\u0654\u0645\u0629-\u0627\u0655\u0644\u0649-dataframe-\u0628\u064a\u062b\u0648\u0646\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a Python\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ar\/\u0642\u0627\u064a\u0654\u0645\u0629-\u0627\u0655\u0644\u0649-dataframe-\u0628\u064a\u062b\u0648\u0646\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-26T01:35:25+00:00\" \/>\n<meta name=\"author\" content=\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/\",\"url\":\"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/\",\"name\":\"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646 - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ar\/#website\"},\"datePublished\":\"2023-07-26T01:35:25+00:00\",\"dateModified\":\"2023-07-26T01:35:25+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3\"},\"description\":\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a Python\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/#breadcrumb\"},\"inLanguage\":\"azb\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0628\u064a\u062a\",\"item\":\"https:\/\/statorials.org\/ar\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 dataframe \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/ar\/#website\",\"url\":\"https:\/\/statorials.org\/ar\/\",\"name\":\"Statorials\",\"description\":\"\u062f\u0644\u064a\u0644\u0643 \u0644\u0645\u062d\u0648 \u0627\u0644\u0623\u0645\u064a\u0629 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0629!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/ar\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"azb\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3\",\"name\":\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"azb\",\"@id\":\"https:\/\/statorials.org\/ar\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/ar\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/ar\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\"},\"description\":\"\u0645\u0631\u062d\u0628\u064b\u0627\u060c \u0623\u0646\u0627 \u0628\u0646\u062c\u0627\u0645\u064a\u0646\u060c \u0623\u0633\u062a\u0627\u0630 \u0627\u0644\u0625\u062d\u0635\u0627\u0621 \u0627\u0644\u0645\u062a\u0642\u0627\u0639\u062f \u0627\u0644\u0630\u064a \u062a\u062d\u0648\u0644 \u0625\u0644\u0649 \u0645\u062f\u0631\u0633 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a Statorials. \u0628\u0641\u0636\u0644 \u062e\u0628\u0631\u062a\u064a \u0627\u0644\u0648\u0627\u0633\u0639\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0625\u062d\u0635\u0627\u0621\u060c \u0641\u0623\u0646\u0627 \u062d\u0631\u064a\u0635 \u0639\u0644\u0649 \u0645\u0634\u0627\u0631\u0643\u0629 \u0645\u0639\u0631\u0641\u062a\u064a \u0644\u062a\u0645\u0643\u064a\u0646 \u0627\u0644\u0637\u0644\u0627\u0628 \u0645\u0646 \u062e\u0644\u0627\u0644 Statorials. \u062a\u0639\u0631\u0641 \u0623\u0643\u062b\u0631\",\"sameAs\":[\"https:\/\/statorials.org\/ar\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646 - Statorials","description":"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a Python\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/ar\/\u0642\u0627\u064a\u0654\u0645\u0629-\u0627\u0655\u0644\u0649-dataframe-\u0628\u064a\u062b\u0648\u0646\/","og_locale":"az_AZ","og_type":"article","og_title":"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646 - Statorials","og_description":"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a Python\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.","og_url":"https:\/\/statorials.org\/ar\/\u0642\u0627\u064a\u0654\u0645\u0629-\u0627\u0655\u0644\u0649-dataframe-\u0628\u064a\u062b\u0648\u0646\/","og_site_name":"Statorials","article_published_time":"2023-07-26T01:35:25+00:00","author":"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646","twitter_card":"summary_large_image","twitter_misc":{"Written by":"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/","url":"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/","name":"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646 - Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/ar\/#website"},"datePublished":"2023-07-26T01:35:25+00:00","dateModified":"2023-07-26T01:35:25+00:00","author":{"@id":"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3"},"description":"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 DataFrame \u0641\u064a Python\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.","breadcrumb":{"@id":"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/#breadcrumb"},"inLanguage":"azb","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/ar\/%d9%82%d8%a7%d9%8a%d9%94%d9%85%d8%a9-%d8%a7%d9%95%d9%84%d9%89-dataframe-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u0628\u064a\u062a","item":"https:\/\/statorials.org\/ar\/"},{"@type":"ListItem","position":2,"name":"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0625\u0644\u0649 dataframe \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/ar\/#website","url":"https:\/\/statorials.org\/ar\/","name":"Statorials","description":"\u062f\u0644\u064a\u0644\u0643 \u0644\u0645\u062d\u0648 \u0627\u0644\u0623\u0645\u064a\u0629 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0629!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/ar\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"azb"},{"@type":"Person","@id":"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3","name":"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646","image":{"@type":"ImageObject","inLanguage":"azb","@id":"https:\/\/statorials.org\/ar\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/ar\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/ar\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646"},"description":"\u0645\u0631\u062d\u0628\u064b\u0627\u060c \u0623\u0646\u0627 \u0628\u0646\u062c\u0627\u0645\u064a\u0646\u060c \u0623\u0633\u062a\u0627\u0630 \u0627\u0644\u0625\u062d\u0635\u0627\u0621 \u0627\u0644\u0645\u062a\u0642\u0627\u0639\u062f \u0627\u0644\u0630\u064a \u062a\u062d\u0648\u0644 \u0625\u0644\u0649 \u0645\u062f\u0631\u0633 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a Statorials. \u0628\u0641\u0636\u0644 \u062e\u0628\u0631\u062a\u064a \u0627\u0644\u0648\u0627\u0633\u0639\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0625\u062d\u0635\u0627\u0621\u060c \u0641\u0623\u0646\u0627 \u062d\u0631\u064a\u0635 \u0639\u0644\u0649 \u0645\u0634\u0627\u0631\u0643\u0629 \u0645\u0639\u0631\u0641\u062a\u064a \u0644\u062a\u0645\u0643\u064a\u0646 \u0627\u0644\u0637\u0644\u0627\u0628 \u0645\u0646 \u062e\u0644\u0627\u0644 Statorials. \u062a\u0639\u0631\u0641 \u0623\u0643\u062b\u0631","sameAs":["https:\/\/statorials.org\/ar"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/posts\/1516"}],"collection":[{"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/comments?post=1516"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/posts\/1516\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/media?parent=1516"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/categories?post=1516"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/tags?post=1516"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}