{"id":1601,"date":"2023-07-25T16:56:36","date_gmt":"2023-07-25T16:56:36","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d9%81%d8%b1%d9%82-%d8%a8%d9%8a%d9%86-%d8%a7%d9%84%d8%b5%d9%81%d9%88%d9%81\/"},"modified":"2023-07-25T16:56:36","modified_gmt":"2023-07-25T16:56:36","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d9%81%d8%b1%d9%82-%d8%a8%d9%8a%d9%86-%d8%a7%d9%84%d8%b5%d9%81%d9%88%d9%81","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d9%81%d8%b1%d9%82-%d8%a8%d9%8a%d9%86-%d8%a7%d9%84%d8%b5%d9%81%d9%88%d9%81\/","title":{"rendered":"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u062e\u0637\u064a\u0646"},"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\u062f\u0627\u0644\u0629 <strong>DataFrame.diff()<\/strong> \u0644\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u0635\u0641\u064a\u0646 \u0641\u064a DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627.<\/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\"> <strong><span style=\"color: #000000;\">DataFrame.diff(\u0627\u0644\u0641\u062a\u0631\u0627\u062a=1\u060c \u0627\u0644\u0645\u062d\u0648\u0631=0)<\/span><\/strong><\/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\u0641\u062a\u0631\u0627\u062a:<\/strong> \u0639\u062f\u062f \u0627\u0644\u0623\u0633\u0637\u0631 \u0627\u0644\u0633\u0627\u0628\u0642\u0629 \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0641\u0631\u0642.<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0645\u062d\u0648\u0631:<\/strong> \u0627\u0628\u062d\u062b \u0639\u0646 \u0627\u0644\u0641\u0631\u0642 \u0641\u064a \u0627\u0644\u0635\u0641\u0648\u0641 (0) \u0623\u0648 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 (1).<\/span><\/li>\n<\/ul>\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 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 1: \u0623\u0648\u062c\u062f \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u0643\u0644 \u0635\u0641 \u0633\u0627\u0628\u0642<\/strong><\/span><\/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 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/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;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">period<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [12, 14, 15, 15, 18, 20, 19, 24],\n                   ' <span style=\"color: #ff0000;\">returns<\/span> ': [2, 2, 3, 3, 5, 4, 4, 6]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tperiod sales returns\n0 1 12 2\n1 2 14 2\n2 3 15 3\n3 4 15 3\n4 5 18 5\n5 6 20 4\n6 7 19 4\n7 8 24 6<\/strong><\/pre>\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\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u0643\u0644 \u0635\u0641 \u062d\u0627\u0644\u064a \u0641\u064a DataFrame \u0648\u0627\u0644\u0635\u0641 \u0627\u0644\u0633\u0627\u0628\u0642:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add new column to represent sales differences between each row<\/span>\ndf[' <span style=\"color: #ff0000;\">sales_diff<\/span> '] = df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">diff<\/span> ()\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        period sales returns sales_diff\n0 1 12 2 NaN\n1 2 14 2 2.0\n2 3 15 3 1.0\n3 4 15 3 0.0\n4 5 18 5 3.0\n5 6 20 4 2.0\n6 7 19 4 -1.0\n7 8 24 6 5.0\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u0625\u064a\u062c\u0627\u062f \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u0639\u062f\u0629 \u0623\u0633\u0637\u0631 \u0633\u0627\u0628\u0642\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 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u0643\u0644 \u0635\u0641 \u062d\u0627\u0644\u064a \u0648\u0627\u0644\u0635\u0641 \u0627\u0644\u0630\u064a \u0638\u0647\u0631 \u0642\u0628\u0644\u0647 \u0628\u062b\u0644\u0627\u062b\u0629 \u0635\u0641\u0648\u0641:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add new column to represent sales differences between current row and 3 rows earlier<\/span>\ndf[' <span style=\"color: #ff0000;\">sales_diff<\/span> '] = df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">diff<\/span> (periods= <span style=\"color: #008000;\">3<\/span> )\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        period sales returns sales_diff\n0 1 12 2 NaN\n1 2 14 2 NaN\n2 3 15 3 NaN\n3 4 15 3 3.0\n4 5 18 5 4.0\n5 6 20 4 5.0\n6 7 19 4 4.0\n7 8 24 6 6.0<\/strong><\/pre>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 2: \u0623\u0648\u062c\u062f \u0627\u0644\u0641\u0631\u0642 \u062d\u0633\u0628 \u0627\u0644\u062d\u0627\u0644\u0629<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u062a\u0635\u0641\u064a\u0629 DataFrame \u0644\u0639\u0631\u0636 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u064a\u0643\u0648\u0646 \u0641\u064a\u0647\u0627 \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u0627\u0644\u0635\u0641 \u0627\u0644\u062d\u0627\u0644\u064a \u0648\u0627\u0644\u0635\u0641 \u0627\u0644\u0633\u0627\u0628\u0642 \u0623\u0642\u0644 \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 \u0642\u064a\u0645\u0629 \u0645\u0639\u064a\u0646\u0629.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u064a\u0642\u0648\u0645 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0628\u0625\u0631\u062c\u0627\u0639 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u062a\u0643\u0648\u0646 \u0642\u064a\u0645\u0629 \u0627\u0644\u0635\u0641 \u0627\u0644\u062d\u0627\u0644\u064a \u0641\u064a\u0647\u0627 <strong>\u0623\u0642\u0644 \u0645\u0646<\/strong> \u0642\u064a\u0645\u0629 \u0627\u0644\u0635\u0641 \u0627\u0644\u0633\u0627\u0628\u0642 \u0641\u0642\u0637:<\/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;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">period<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [12, 14, 15, 13, 18, 20, 19, 24],\n                   ' <span style=\"color: #ff0000;\">returns<\/span> ': [2, 2, 3, 3, 5, 4, 4, 6]})\n\n<span style=\"color: #008080;\">#find difference between each current row and the previous row\n<\/span>df[' <span style=\"color: #ff0000;\">sales_diff<\/span> '] = df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">diff<\/span> ()\n\n<span style=\"color: #008080;\">#filter for rows where difference is less than zero\n<\/span>df = df[df[' <span style=\"color: #ff0000;\">sales_diff<\/span> ']&lt; <span style=\"color: #008000;\">0<\/span> ]\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        period sales returns sales_diff\n3 4 13 3 -2.0\n6 7 19 4 -1.0<\/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\"> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0648\u0627\u062d\u062f\u0629-\u0627\u0654\u0639\u0645\u062f\u0629-\u0645\u062a\u0639\u062f\u062f\u0629\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0642\u064a\u0645 \u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a Pandas<\/a><br \/> \u0643\u064a\u0641\u064a\u0629 \u062a\u0635\u0641\u064a\u0629 Pandas DataFrame \u062d\u0633\u0628 \u0642\u064a\u0645 \u0627\u0644\u0623\u0639\u0645\u062f\u0629<br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u062d\u062f\u062f-\u0627\u0644\u0635\u0641\u0648\u0641-\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\u0635\u0641\u0648\u0641 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 DataFrame.diff() \u0644\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u0635\u0641\u064a\u0646 \u0641\u064a DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627. \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: DataFrame.diff(\u0627\u0644\u0641\u062a\u0631\u0627\u062a=1\u060c \u0627\u0644\u0645\u062d\u0648\u0631=0) \u0630\u0647\u0628: \u0627\u0644\u0641\u062a\u0631\u0627\u062a: \u0639\u062f\u062f \u0627\u0644\u0623\u0633\u0637\u0631 \u0627\u0644\u0633\u0627\u0628\u0642\u0629 \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0641\u0631\u0642. \u0627\u0644\u0645\u062d\u0648\u0631: \u0627\u0628\u062d\u062b \u0639\u0646 \u0627\u0644\u0641\u0631\u0642 \u0641\u064a \u0627\u0644\u0635\u0641\u0648\u0641 (0) \u0623\u0648 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 (1). \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 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0639\u0645\u0644\u064a\u064b\u0627. \u0645\u062b\u0627\u0644 1: \u0623\u0648\u062c\u062f \u0627\u0644\u0641\u0631\u0642 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