{"id":3841,"date":"2023-07-15T05:43:48","date_gmt":"2023-07-15T05:43:48","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%8a%d8%ae%d8%aa%d8%a7%d8%b1-%d8%a7%d9%84%d8%a7%d9%94%d8%b9%d9%85%d8%af%d8%a9-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d8%ad%d8%a7%d9%84%d8%a9\/"},"modified":"2023-07-15T05:43:48","modified_gmt":"2023-07-15T05:43:48","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%8a%d8%ae%d8%aa%d8%a7%d8%b1-%d8%a7%d9%84%d8%a7%d9%94%d8%b9%d9%85%d8%af%d8%a9-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d8%ad%d8%a7%d9%84%d8%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%8a%d8%ae%d8%aa%d8%a7%d8%b1-%d8%a7%d9%84%d8%a7%d9%94%d8%b9%d9%85%d8%af%d8%a9-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d8%ad%d8%a7%d9%84%d8%a9\/","title":{"rendered":"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0627\u0644\u062d\u0627\u0644\u0629"},"content":{"rendered":"<p><\/p>\n<hr>\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\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a pandas DataFrame \u062d\u0633\u0628 \u0627\u0644\u0634\u0631\u0637:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0635\u0641 \u0648\u0627\u062d\u062f \u0639\u0644\u0649 \u0627\u0644\u0623\u0642\u0644 \u064a\u0641\u064a \u0628\u0627\u0644\u0634\u0631\u0637<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #008080;\">#select columns where at least one row has a value greater than 2<\/span>\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">loc<\/span> [:, (df &gt; <span style=\"color: #008000;\">2<\/span> ). <span style=\"color: #3366ff;\">any<\/span> ()]\n<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u062a\u064a \u062a\u0633\u062a\u0648\u0641\u064a \u0641\u064a\u0647\u0627 \u0643\u0627\u0641\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u0634\u0631\u0637<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #008080;\">#select columns where all rows have a value greater than 2<\/span>\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">loc<\/span> [:, (df &gt; <span style=\"color: #008000;\">2<\/span> ). <span style=\"color: #3366ff;\">all<\/span> ()]<\/span>\n<\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0644\u062b\u0629: \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0635\u0641 \u0648\u0627\u062d\u062f \u0639\u0644\u0649 \u0627\u0644\u0623\u0642\u0644 \u064a\u0633\u062a\u0648\u0641\u064a \u0634\u0631\u0648\u0637\u064b\u0627 \u0645\u062a\u0639\u062f\u062f\u0629<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #008080;\">#select columns where at least one row has a value between 10 and 15<\/span>\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">loc<\/span> [:, ((df&gt;= <span style=\"color: #008000;\">10<\/span> ) <span style=\"color: #800080;\">&amp;<\/span> (df&lt;= <span style=\"color: #008000;\">15<\/span> )). <span style=\"color: #3366ff;\">any<\/span> ()]<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0643\u0644 \u0637\u0631\u064a\u0642\u0629 \u0645\u0639 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">apples<\/span> ': [7, 3, 3, 4, 3],\n                   ' <span style=\"color: #ff0000;\">oranges<\/span> ': [2, 0, 2, 0, 1],\n                   ' <span style=\"color: #ff0000;\">bananas<\/span> ': [5, 0, 4, 0, 12]},\n                    index=[' <span style=\"color: #ff0000;\">Farm1<\/span> ',' <span style=\"color: #ff0000;\">Farm2<\/span> ',' <span style=\"color: #ff0000;\">Farm3<\/span> ',' <span style=\"color: #ff0000;\">Farm4<\/span> ',' <span style=\"color: #ff0000;\">Farm5<\/span> '])\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n       apples oranges bananas\nFarm1 7 2 5\nFarm2 3 0 0\nFarm3 3 2 4\nFarm4 4 0 0\nFarm5 3 1 12\n<\/b><\/pre>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0645\u062b\u0627\u0644 1: \u062d\u062f\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u062a\u064a \u064a\u0641\u064a \u0641\u064a\u0647\u0627 \u0635\u0641 \u0648\u0627\u062d\u062f \u0639\u0644\u0649 \u0627\u0644\u0623\u0642\u0644 \u0628\u0627\u0644\u0634\u0631\u0637<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\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\u062a\u062d\u062f\u064a\u062f \u0623\u0639\u0645\u062f\u0629 \u0645\u0646 DataFrame \u062d\u064a\u062b \u064a\u062d\u062a\u0648\u064a \u0635\u0641 \u0648\u0627\u062d\u062f \u0639\u0644\u0649 \u0627\u0644\u0623\u0642\u0644 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0639\u0644\u0649 \u0642\u064a\u0645\u0629 \u0623\u0643\u0628\u0631 \u0645\u0646 2:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#select columns where at least one row has a value greater than 2\n<\/span>df. <span style=\"color: #3366ff;\">loc<\/span> [:, (df &gt; <span style=\"color: #008000;\">2<\/span> ). <span style=\"color: #3366ff;\">any<\/span> ()]\n\n\tapples bananas\nFarm1 7 5\nFarm2 3 0\nFarm3 3 4\nFarm4 0 0\nFarm5 3 12<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u062a\u0645 \u0625\u0631\u062c\u0627\u0639 \u0623\u0639\u0645\u062f\u0629 <strong>\u0627\u0644\u062a\u0641\u0627\u062d<\/strong> <strong>\u0648\u0627\u0644\u0645\u0648\u0632<\/strong> \u0644\u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0635\u0641 \u0648\u0627\u062d\u062f \u0639\u0644\u0649 \u0627\u0644\u0623\u0642\u0644 \u0628\u0642\u064a\u0645\u0629 \u0623\u0643\u0628\u0631 \u0645\u0646 2.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0645\u062b\u0627\u0644 2: \u062d\u062f\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u062a\u064a \u062a\u0633\u062a\u0648\u0641\u064a \u0641\u064a\u0647\u0627 \u062c\u0645\u064a\u0639 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u0634\u0631\u0637<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\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\u062a\u062d\u062f\u064a\u062f \u0623\u0639\u0645\u062f\u0629 \u0645\u0646 DataFrame \u062d\u064a\u062b \u064a\u062d\u062a\u0648\u064a \u0643\u0644 \u0635\u0641 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0639\u0644\u0649 \u0642\u064a\u0645\u0629 \u0623\u0643\u0628\u0631 \u0645\u0646 2:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#select columns where every row has a value greater than 2\n<\/span>df. <span style=\"color: #3366ff;\">loc<\/span> [:, (df &gt; <span style=\"color: #008000;\">2<\/span> ). <span style=\"color: #3366ff;\">all<\/span> ()]\n\n\tapples\nFarm1 7\nFarm2 3\nFarm3 3\nFarm4 4\nFarm5 3<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u064a\u062a\u0645 \u0625\u0631\u062c\u0627\u0639 \u0639\u0645\u0648\u062f <strong>\u0627\u0644\u062a\u0641\u0627\u062d<\/strong> \u0641\u0642\u0637 \u0644\u0623\u0646\u0647 \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0648\u062d\u064a\u062f \u0627\u0644\u0630\u064a \u064a\u062d\u062a\u0648\u064a \u0643\u0644 \u0635\u0641 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0639\u0644\u0649 \u0642\u064a\u0645\u0629 \u0623\u0643\u0628\u0631 \u0645\u0646 2.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0645\u062b\u0627\u0644 3: \u062d\u062f\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u062a\u064a \u064a\u0641\u064a \u0641\u064a\u0647\u0627 \u0635\u0641 \u0648\u0627\u062d\u062f \u0639\u0644\u0649 \u0627\u0644\u0623\u0642\u0644 \u0628\u0639\u062f\u0629 \u0634\u0631\u0648\u0637<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\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\u062a\u062d\u062f\u064a\u062f \u0623\u0639\u0645\u062f\u0629 \u0645\u0646 DataFrame \u062d\u064a\u062b \u064a\u062d\u062a\u0648\u064a \u0635\u0641 \u0648\u0627\u062d\u062f \u0639\u0644\u0649 \u0627\u0644\u0623\u0642\u0644 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0639\u0644\u0649 \u0642\u064a\u0645\u0629 \u062a\u062a\u0631\u0627\u0648\u062d \u0628\u064a\u0646 10 \u064815:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#select columns where every row has a value greater than 2\n<\/span>df. <span style=\"color: #3366ff;\">loc<\/span> [:, ((df&gt;= <span style=\"color: #008000;\">10<\/span> ) <span style=\"color: #800080;\">&amp;<\/span> (df&lt;= <span style=\"color: #008000;\">15<\/span> )). <span style=\"color: #3366ff;\">any<\/span> ()]\n\n\tbananas\nFarm1 5\nFarm2 0\nFarm3 4\nFarm4 0\nFarm5 12<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u064a\u062a\u0645 \u0625\u0631\u062c\u0627\u0639 \u0639\u0645\u0648\u062f <b>\u0627\u0644\u0645\u0648\u0632<\/b> \u0641\u0642\u0637 \u0644\u0623\u0646\u0647 \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0648\u062d\u064a\u062f \u0627\u0644\u0630\u064a \u064a\u062d\u062a\u0648\u064a \u0641\u064a\u0647 \u0635\u0641 \u0648\u0627\u062d\u062f \u0639\u0644\u0649 \u0627\u0644\u0623\u0642\u0644 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0639\u0644\u0649 \u0642\u064a\u0645\u0629 \u062a\u062a\u0631\u0627\u0648\u062d \u0628\u064a\u0646 10 \u064815.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h2>\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\u0639\u0645\u0644\u064a\u0627\u062a \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\"> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u064a\u062e\u062a\u0627\u0631-\u0627\u0644\u0627\u0654\u0639\u0645\u062f\u0629-\u0628\u0627\u0644\u0627\u0633\u0645\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0628\u0627\u0644\u0627\u0633\u0645 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062d\u062f\u062f-\u0627\u0644\u0639\u0645\u0648\u062f-\u062d\u0633\u0628-\u0627\u0644\u0641\u0647\u0631\u0633\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u062d\u062f\u064a\u062f-\u0627\u0644\u0627\u0654\u0639\u0645\u062f\u0629-\u0627\u0644\u062a\u064a-\u062a\u062d\u062a\u0648\u064a-\u0639\u0644\u0649-\u0627\u0644\u0633\u0644\u0633\u0644\u0629\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0633\u0644\u0633\u0644\u0629 \u0645\u062d\u062f\u062f\u0629 \u0641\u064a Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a pandas DataFrame \u062d\u0633\u0628 \u0627\u0644\u0634\u0631\u0637: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0635\u0641 \u0648\u0627\u062d\u062f \u0639\u0644\u0649 \u0627\u0644\u0623\u0642\u0644 \u064a\u0641\u064a \u0628\u0627\u0644\u0634\u0631\u0637 #select columns where at least one row has a value greater than 2 df. loc [:, (df &gt; 2 ). any ()] \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u062a\u064a \u062a\u0633\u062a\u0648\u0641\u064a \u0641\u064a\u0647\u0627 \u0643\u0627\u0641\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 [&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>\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u062d\u0627\u0644\u062a\u0647\u0627 - \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a<\/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\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0634\u0631\u0637 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\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\u062f\u064a\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0634\u0631\u0637 \u0641\u064a Pandas DataFrame\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u064a\u062e\u062a\u0627\u0631-\u0627\u0644\u0627\u0654\u0639\u0645\u062f\u0629-\u062d\u0633\u0628-\u0627\u0644\u062d\u0627\u0644\u0629\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-15T05:43:48+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\" 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