{"id":3409,"date":"2023-07-17T15:24:40","date_gmt":"2023-07-17T15:24:40","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%ad%d8%b5%d9%88%d9%84-%d8%b9%d9%84%d9%89-%d9%81%d9%87%d8%b1%d8%b3-%d8%a7%d9%84%d9%82%d9%8a%d9%85%d8%a9-%d8%a7%d9%84%d9%82%d8%b5%d9%88%d9%89-%d9%84%d9%84%d8%b5%d9%81%d9%8a%d9%81-numpy\/"},"modified":"2023-07-17T15:24:40","modified_gmt":"2023-07-17T15:24:40","slug":"%d8%a7%d9%84%d8%ad%d8%b5%d9%88%d9%84-%d8%b9%d9%84%d9%89-%d9%81%d9%87%d8%b1%d8%b3-%d8%a7%d9%84%d9%82%d9%8a%d9%85%d8%a9-%d8%a7%d9%84%d9%82%d8%b5%d9%88%d9%89-%d9%84%d9%84%d8%b5%d9%81%d9%8a%d9%81-numpy","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%ad%d8%b5%d9%88%d9%84-%d8%b9%d9%84%d9%89-%d9%81%d9%87%d8%b1%d8%b3-%d8%a7%d9%84%d9%82%d9%8a%d9%85%d8%a9-%d8%a7%d9%84%d9%82%d8%b5%d9%88%d9%89-%d9%84%d9%84%d8%b5%d9%81%d9%8a%d9%81-numpy\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 numpy"},"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\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0645\u0635\u0641\u0648\u0641\u0629 NumPy:<\/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: \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0635\u0641\u064a\u0641 \u0623\u062d\u0627\u062f\u064a \u0627\u0644\u0628\u0639\u062f<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\">x. <span style=\"color: #3366ff;\">argmax<\/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: \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0643\u0644 \u0635\u0641 \u0645\u0646 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0623\u0628\u0639\u0627\u062f<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>x. <span style=\"color: #3366ff;\">argmax<\/span> (axis= <span style=\"color: #008000;\">1<\/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: \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0643\u0644 \u0639\u0645\u0648\u062f \u0645\u0646 \u0627\u0644\u0635\u0641\u064a\u0641 \u0645\u062a\u0639\u062f\u062f \u0627\u0644\u0623\u0628\u0639\u0627\u062f<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>x. <span style=\"color: #3366ff;\">argmax<\/span> (axis= <span style=\"color: #008000;\">0<\/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 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 1: \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0645\u0635\u0641\u0648\u0641\u0629 \u0623\u062d\u0627\u062f\u064a\u0629 \u0627\u0644\u0628\u0639\u062f<\/strong><\/span><\/h2>\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 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0645\u0635\u0641\u0648\u0641\u0629 NumPy \u0623\u062d\u0627\u062f\u064a\u0629 \u0627\u0644\u0628\u0639\u062f:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create NumPy array of values\n<\/span>x = np. <span style=\"color: #3366ff;\">array<\/span> ([2, 7, 9, 4, 4, 6, 3])\n\n<span style=\"color: #008080;\">#find index that contains max value\n<\/span>x. <span style=\"color: #3366ff;\">argmax<\/span> ()\n\n2<\/strong><\/span><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0631\u062c\u0639 \u0627\u0644\u062f\u0627\u0644\u0629 <strong>argmax()<\/strong> \u0642\u064a\u0645\u0629 <strong>2<\/strong> .<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u062e\u0628\u0631\u0646\u0627 \u0647\u0630\u0627 \u0623\u0646 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0645\u0648\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 <strong>2<\/strong> \u0644\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0625\u0630\u0627 \u0646\u0638\u0631\u0646\u0627 \u0625\u0644\u0649 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0644\u0623\u0635\u0644\u064a\u0629\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 \u0627\u0644\u0642\u064a\u0645\u0629 \u0641\u064a \u0645\u0648\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 <strong>2<\/strong> \u0647\u064a <strong>9<\/strong> \u060c \u0648\u0647\u064a \u0628\u0627\u0644\u0641\u0639\u0644 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 2: \u0627\u062d\u0635\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0643\u0644 \u0635\u0641 \u0645\u0646 \u0645\u0635\u0641\u0648\u0641\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0623\u0628\u0639\u0627\u062f<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0643\u0644 \u0635\u0641 \u0645\u0646 \u0645\u0635\u0641\u0648\u0641\u0629 NumPy \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0623\u0628\u0639\u0627\u062f:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create multi-dimentional NumPy array\n<\/span>x = np. <span style=\"color: #3366ff;\">array<\/span> ([[4, 2, 1, 5], [7, 9, 2, 0]])\n\n<span style=\"color: #008080;\">#view NumPy array\n<\/span><span style=\"color: #008000;\">print<\/span> (x)\n\n[[4 2 1 5]\n [7 9 2 0]]\n\n<span style=\"color: #008080;\">#find index that contains max value in each row\n<\/span>x. <span style=\"color: #3366ff;\">argmax<\/span> (axis= <span style=\"color: #008000;\">1<\/span> )\n\narray([3, 1], dtype=int32)\n<\/strong><\/span><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0648\u0645\u0646 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649:<\/span><\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0627\u0644\u062d\u062f \u0627\u0644\u0623\u0642\u0635\u0649 \u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0633\u0637\u0631 \u0627\u0644\u0623\u0648\u0644 \u064a\u0642\u0639 \u0641\u064a \u0645\u0648\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 <strong>3<\/strong> .<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0627\u0644\u062d\u062f \u0627\u0644\u0623\u0642\u0635\u0649 \u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0633\u0637\u0631 \u0627\u0644\u062b\u0627\u0646\u064a \u064a\u0642\u0639 \u0641\u064a \u0645\u0648\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 <strong>1<\/strong> .<\/span><\/li>\n<\/ul>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 3: \u0627\u062d\u0635\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0643\u0644 \u0639\u0645\u0648\u062f \u0641\u064a \u0645\u0635\u0641\u0648\u0641\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0623\u0628\u0639\u0627\u062f<\/strong><\/span><\/h2>\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 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0643\u0644 \u0639\u0645\u0648\u062f \u0645\u0646 \u0635\u0641\u064a\u0641 NumPy \u0645\u062a\u0639\u062f\u062f \u0627\u0644\u0623\u0628\u0639\u0627\u062f:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create multi-dimentional NumPy array\n<\/span>x = np. <span style=\"color: #3366ff;\">array<\/span> ([[4, 2, 1, 5], [7, 9, 2, 0]])\n\n<span style=\"color: #008080;\">#view NumPy array\n<\/span><span style=\"color: #008000;\">print<\/span> (x)\n\n[[4 2 1 5]\n [7 9 2 0]]\n\n<span style=\"color: #008080;\">#find index that contains max value in each column\n<\/span>x. <span style=\"color: #3366ff;\">argmax<\/span> (axis= <span style=\"color: #008000;\">0<\/span> )\n\narray([1, 1, 1, 0], dtype=int32)\n<\/strong><\/span><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u0645\u0646 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0627\u0644\u062d\u062f \u0627\u0644\u0623\u0642\u0635\u0649 \u0644\u0644\u0642\u064a\u0645\u0629 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0623\u0648\u0644 \u064a\u0642\u0639 \u0641\u064a \u0645\u0648\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 <strong>1<\/strong> .<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0627\u0644\u062d\u062f \u0627\u0644\u0623\u0642\u0635\u0649 \u0644\u0644\u0642\u064a\u0645\u0629 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u062b\u0627\u0646\u064a \u064a\u0642\u0639 \u0641\u064a \u0645\u0648\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 <strong>1<\/strong> .<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0627\u0644\u062d\u062f \u0627\u0644\u0623\u0642\u0635\u0649 \u0644\u0644\u0642\u064a\u0645\u0629 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u062b\u0627\u0644\u062b \u064a\u0642\u0639 \u0641\u064a \u0645\u0648\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 <strong>1<\/strong> .<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0627\u0644\u062d\u062f \u0627\u0644\u0623\u0642\u0635\u0649 \u0644\u0644\u0642\u064a\u0645\u0629 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0631\u0627\u0628\u0639 \u064a\u0642\u0639 \u0641\u064a \u0645\u0648\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 <strong>0<\/strong> .<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0630\u0627\u062a \u0635\u0644\u0629:<\/strong> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0645\u062d\u0648\u0631-\u0627\u0644\u0631\u0642\u0645\u064a\/\" target=\"_blank\" rel=\"noopener\">\u0634\u0631\u062d \u0628\u0633\u064a\u0637 \u0644\u0645\u062d\u0627\u0648\u0631 NumPy<\/a><\/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 \u0628\u0627\u064a\u062b\u0648\u0646:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <a href=\"https:\/\/statorials.org\/ar\/\u0645\u062c\u0645\u0648\u0639\u0629-\u0645\u0644\u0621-numpy\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0645\u0644\u0621 \u0645\u0635\u0641\u0648\u0641\u0629 NumPy \u0628\u0627\u0644\u0642\u064a\u0645<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0633\u062a\u0628\u062f\u0627\u0644-numpy\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0627\u0644\u0639\u0646\u0627\u0635\u0631 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 NumPy<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/numpy-\u0627\u0644\u062d\u0635\u0648\u0644-\u0639\u0644\u0649-\u0627\u0644\u0635\u0641\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0635\u0641 \u0645\u0639\u064a\u0646 \u0645\u0646 \u0645\u062c\u0645\u0648\u0639\u0629 NumPy<\/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\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0645\u0635\u0641\u0648\u0641\u0629 NumPy: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0635\u0641\u064a\u0641 \u0623\u062d\u0627\u062f\u064a \u0627\u0644\u0628\u0639\u062f x. argmax () \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0643\u0644 \u0635\u0641 \u0645\u0646 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0623\u0628\u0639\u0627\u062f x. argmax (axis= 1 ) \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0644\u062b\u0629: \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0643\u0644 \u0639\u0645\u0648\u062f [&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 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0645\u0624\u0634\u0631 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0642\u0635\u0648\u0649 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 NumPy - Statorials<\/title>\n<meta name=\"description\" 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