{"id":1169,"date":"2023-07-27T10:11:54","date_gmt":"2023-07-27T10:11:54","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%ad%d9%85%d9%84-%d8%a7%d9%84%d8%a7%d8%b1%d8%aa%d8%a8%d8%a7%d8%b7\/"},"modified":"2023-07-27T10:11:54","modified_gmt":"2023-07-27T10:11:54","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%ad%d9%85%d9%84-%d8%a7%d9%84%d8%a7%d8%b1%d8%aa%d8%a8%d8%a7%d8%b7","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%ad%d9%85%d9%84-%d8%a7%d9%84%d8%a7%d8%b1%d8%aa%d8%a8%d8%a7%d8%b7\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0645\u0639 \u0627\u0644\u0623\u0645\u062b\u0644\u0629"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\"><strong>\u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644\u0629<\/strong> \u0647\u064a \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0628\u064a\u0646 \u0633\u0644\u0633\u0644\u062a\u064a\u0646 \u0632\u0645\u0646\u064a\u062a\u064a\u0646 \u0639\u0628\u0631 \u0646\u0627\u0641\u0630\u0629 \u0645\u0646\u0632\u0644\u0642\u0629. \u0625\u062d\u062f\u0649 \u0641\u0648\u0627\u0626\u062f \u0647\u0630\u0627 \u0627\u0644\u0646\u0648\u0639 \u0645\u0646 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0647\u0648 \u0623\u0646\u0647 \u064a\u0645\u0643\u0646\u0643 \u062a\u0635\u0648\u0631 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u064a\u0646 \u0633\u0644\u0633\u0644\u062a\u064a\u0646 \u0632\u0645\u0646\u064a\u062a\u064a\u0646 \u0645\u0639 \u0645\u0631\u0648\u0631 \u0627\u0644\u0648\u0642\u062a.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\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 \u062d\u0633\u0627\u0628 \u0648\u062a\u0635\u0648\u0631 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644\u0629 \u0644\u0640 pandas DataFrame \u0641\u064a Python.<\/span><\/p>\n<h3 style=\";text-align:right;direction:rtl\"> <strong>\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/strong><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a \u0627\u0644\u0630\u064a \u064a\u0639\u0631\u0636 \u0625\u062c\u0645\u0627\u0644\u064a \u0639\u062f\u062f \u0627\u0644\u0645\u0646\u062a\u062c\u0627\u062a \u0627\u0644\u0645\u0628\u0627\u0639\u0629 \u0644\u0645\u0646\u062a\u062c\u064a\u0646 \u0645\u062e\u062a\u0644\u0641\u064a\u0646 ( <em>x<\/em> \u0648 <em>y<\/em> ) \u062e\u0644\u0627\u0644 \u0641\u062a\u0631\u0629 15 \u0634\u0647\u0631\u064b\u0627:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'month': np. <span style=\"color: #3366ff;\">arange<\/span> (1, 16),\n                   'x': [13, 15, 16, 15, 17, 20, 22, 24, 25, 26, 23, 24, 23, 22, 20],\n                   'y': [22, 24, 23, 27, 26, 26, 27, 30, 33, 32, 27, 25, 28, 26, 28]})\n\n<span style=\"color: #008080;\">#view first six rows\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n  month xy\n1 1 13 22\n2 2 15 24\n3 3 16 23\n4 4 15 27\n5 5 17 26\n6 6 20 26<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.core.window.rolling.Rolling.corr.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u0627\u0644\u062f\u0627\u0644\u0629 Rolling.corr()<\/a> .<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0633\u062a\u062e\u062f\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \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>df[&#8216;x&#8217;].rolling(width).corr(df[&#8216;y&#8217;])<\/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>df:<\/strong> \u0627\u0633\u0645 \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>width:<\/strong> \u0639\u062f\u062f \u0635\u062d\u064a\u062d \u064a\u062d\u062f\u062f \u0639\u0631\u0636 \u0627\u0644\u0646\u0627\u0641\u0630\u0629 \u0644\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u0646\u0632\u0644\u0642<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>x\u060c y:<\/strong> \u0627\u0633\u0645\u0627 \u0627\u0644\u0639\u0645\u0648\u062f\u064a\u0646 \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u0646\u0632\u0644\u0642 \u0628\u064a\u0646\u0647\u0645\u0627<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0641\u064a\u0645\u0627 \u064a\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u062f\u0627\u0644\u0629 \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u062a\u062c\u062f\u062f \u0644\u0644\u0645\u0628\u064a\u0639\u0627\u062a \u0644\u0645\u062f\u0629 3 \u0623\u0634\u0647\u0631 \u0628\u064a\u0646 \u0627\u0644\u0645\u0646\u062a\u062c <em>x<\/em> \u0648\u0627\u0644\u0645\u0646\u062a\u062c <em>y<\/em> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 3-month rolling correlation between sales for <em>x<\/em> and <em>y<\/em><\/span>\ndf[' <span style=\"color: #008000;\">x<\/span> ']. <span style=\"color: #3366ff;\">rolling<\/span> (3). <span style=\"color: #3366ff;\">corr<\/span> (df[' <span style=\"color: #008000;\">y<\/span> '])\n\n0 NaN\n1 NaN\n2 0.654654\n3 -0.693375\n4 -0.240192\n5 -0.802955\n6 0.802955\n7 0.960769\n8 0.981981\n9 0.654654\n10 0.882498\n11 0.817057\n12 -0.944911\n13 -0.327327\n14 -0.188982\ndtype:float64\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0642\u0648\u0645 \u0647\u0630\u0647 \u0627\u0644\u062f\u0627\u0644\u0629 \u0628\u0625\u0631\u062c\u0627\u0639 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u064a\u0646 \u0645\u0628\u064a\u0639\u0627\u062a \u0645\u0646\u062a\u062c\u064a\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0623\u0634\u0647\u0631 \u0627\u0644\u062b\u0644\u0627\u062b\u0629 \u0627\u0644\u0645\u0627\u0636\u064a\u0629. \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u0643\u0627\u0646 \u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u0628\u064a\u0639\u0627\u062a \u0641\u064a \u0627\u0644\u0623\u0634\u0647\u0631 1-3 <strong>0.654654<\/strong> .<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0643\u0627\u0646 \u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u0628\u064a\u0639\u0627\u062a \u0641\u064a \u0627\u0644\u0623\u0634\u0647\u0631 2-4 \u0647\u0648 <strong>-0.693375.<\/strong><\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u0643\u0627\u0646 \u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u0628\u064a\u0639\u0627\u062a \u0641\u064a \u0627\u0644\u0623\u0634\u0647\u0631 3-5 <strong>-0.240192.<\/strong><\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u0645\u0627 \u0625\u0644\u0649 \u0630\u0644\u0643 \u0648\u0647\u0644\u0645 \u062c\u0631\u0627.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0628\u0633\u0647\u0648\u0644\u0629 \u062a\u0639\u062f\u064a\u0644 \u0647\u0630\u0647 \u0627\u0644\u0635\u064a\u063a\u0629 \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644 \u0644\u0641\u062a\u0631\u0629 \u0632\u0645\u0646\u064a\u0629 \u0645\u062e\u062a\u0644\u0641\u0629. \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \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 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u062a\u062c\u062f\u062f \u0644\u0644\u0645\u0628\u064a\u0639\u0627\u062a \u0644\u0645\u062f\u0629 6 \u0623\u0634\u0647\u0631 \u0628\u064a\u0646 \u0627\u0644\u0645\u0646\u062a\u062c\u064a\u0646:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 6-month rolling correlation between sales for <em>x<\/em> and <em>y<\/em><\/span>\ndf[' <span style=\"color: #008000;\">x<\/span> ']. <span style=\"color: #3366ff;\">rolling<\/span> (6). <span style=\"color: #3366ff;\">corr<\/span> (df[' <span style=\"color: #008000;\">y<\/span> ']) \n0 NaN\n1 NaN\n2 NaN\n3 NaN\n4 NaN\n5 0.558742\n6 0.485855\n7 0.693103\n8 0.756476\n9 0.895929\n10 0.906772\n11 0.715542\n12 0.717374\n13 0.768447\n14 0.454148\ndtype:float64\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0642\u0648\u0645 \u0647\u0630\u0647 \u0627\u0644\u062f\u0627\u0644\u0629 \u0628\u0625\u0631\u062c\u0627\u0639 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u064a\u0646 \u0645\u0628\u064a\u0639\u0627\u062a \u0627\u0644\u0645\u0646\u062a\u062c\u064a\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0623\u0634\u0647\u0631 \u0627\u0644\u0633\u062a\u0629 \u0627\u0644\u0645\u0627\u0636\u064a\u0629. \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u0643\u0627\u0646 \u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u0628\u064a\u0639\u0627\u062a \u0641\u064a \u0627\u0644\u0623\u0634\u0647\u0631 1-6 <strong>0.558742<\/strong> .<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0643\u0627\u0646 \u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u0628\u064a\u0639\u0627\u062a \u0641\u064a \u0627\u0644\u0623\u0634\u0647\u0631 2-7 \u0647\u0648 <strong>0.485855.<\/strong><\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0643\u0627\u0646 \u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u0628\u064a\u0639\u0627\u062a \u0641\u064a \u0627\u0644\u0623\u0634\u0647\u0631 3-8 \u0647\u0648 <strong>0.693103.<\/strong><\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u0645\u0627 \u0625\u0644\u0649 \u0630\u0644\u0643 \u0648\u0647\u0644\u0645 \u062c\u0631\u0627.<\/span><\/p>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u062a\u0639\u0644\u064a\u0642\u0627\u062a<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0641\u064a\u0645\u0627 \u064a\u0644\u064a \u0628\u0639\u0636 \u0627\u0644\u0645\u0644\u0627\u062d\u0638\u0627\u062a \u062d\u0648\u0644 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u0629 \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u0623\u0645\u062b\u0644\u0629:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u062c\u0628 \u0623\u0646 \u064a\u0643\u0648\u0646 <strong>\u0627\u0644\u0639\u0631\u0636<\/strong> (\u0623\u064a \u0627\u0644\u0646\u0627\u0641\u0630\u0629 \u0627\u0644\u0645\u0646\u0633\u062f\u0644\u0629) \u0645\u0633\u0627\u0648\u064a\u064b\u0627 \u0623\u0648 \u0623\u0643\u0628\u0631 \u0645\u0646 3 \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a.<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0648\u062b\u0627\u0626\u0642 \u0627\u0644\u0643\u0627\u0645\u0644\u0629 \u0644\u0648\u0638\u064a\u0641\u0629 Rolling.corr() <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.core.window.rolling.Rolling.corr.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u0647\u0646\u0627<\/a> .<\/span><\/li>\n<\/ul>\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\"> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637-\u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644-\u0641\u064a-\u0635\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u0646\u0632\u0644\u0642 \u0641\u064a R<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u062a\u062a\u0641\u0648\u0642-\u0627\u0644\u0639\u0644\u0627\u0642\u0629-\u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644 \u0641\u064a \u0625\u0643\u0633\u0644<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644\u0629 \u0647\u064a \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0628\u064a\u0646 \u0633\u0644\u0633\u0644\u062a\u064a\u0646 \u0632\u0645\u0646\u064a\u062a\u064a\u0646 \u0639\u0628\u0631 \u0646\u0627\u0641\u0630\u0629 \u0645\u0646\u0632\u0644\u0642\u0629. \u0625\u062d\u062f\u0649 \u0641\u0648\u0627\u0626\u062f \u0647\u0630\u0627 \u0627\u0644\u0646\u0648\u0639 \u0645\u0646 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0647\u0648 \u0623\u0646\u0647 \u064a\u0645\u0643\u0646\u0643 \u062a\u0635\u0648\u0631 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u064a\u0646 \u0633\u0644\u0633\u0644\u062a\u064a\u0646 \u0632\u0645\u0646\u064a\u062a\u064a\u0646 \u0645\u0639 \u0645\u0631\u0648\u0631 \u0627\u0644\u0648\u0642\u062a. \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 \u062d\u0633\u0627\u0628 \u0648\u062a\u0635\u0648\u0631 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644\u0629 \u0644\u0640 pandas DataFrame \u0641\u064a Python. \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a \u0627\u0644\u0630\u064a \u064a\u0639\u0631\u0636 [&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 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0645\u062a\u062f\u0627\u0648\u0644 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0645\u0639 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