{"id":967,"date":"2023-07-28T03:48:36","date_gmt":"2023-07-28T03:48:36","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%85%d8%aa%d9%88%d8%b3%d8%b7-%d8%a7%d9%84%d9%85%d8%aa%d8%ad%d8%b1%d9%83-%d8%a7%d9%84%d8%a7%d9%94%d8%b3%d9%8a\/"},"modified":"2023-07-28T03:48:36","modified_gmt":"2023-07-28T03:48:36","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d9%85%d8%aa%d9%88%d8%b3%d8%b7-%d8%a7%d9%84%d9%85%d8%aa%d8%ad%d8%b1%d9%83-%d8%a7%d9%84%d8%a7%d9%94%d8%b3%d9%8a","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%85%d8%aa%d9%88%d8%b3%d8%b7-%d8%a7%d9%84%d9%85%d8%aa%d8%ad%d8%b1%d9%83-%d8%a7%d9%84%d8%a7%d9%94%d8%b3%d9%8a\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0623\u0633\u064a \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\">\u0641\u064a \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0633\u0644\u0627\u0633\u0644 \u0627\u0644\u0632\u0645\u0646\u064a\u0629\u060c <strong>\u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643<\/strong> \u0647\u0648 \u0628\u0628\u0633\u0627\u0637\u0629 \u0645\u062a\u0648\u0633\u0637 \u0642\u064a\u0645\u0629 \u0639\u062f\u062f \u0645\u0646 \u0627\u0644\u0641\u062a\u0631\u0627\u062a \u0627\u0644\u0633\u0627\u0628\u0642\u0629.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0623\u0633\u064a<\/strong> \u0647\u0648 \u0646\u0648\u0639 \u0645\u0646 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0630\u064a \u064a\u0639\u0637\u064a \u0623\u0647\u0645\u064a\u0629 \u0623\u0643\u0628\u0631 \u0644\u0644\u0645\u0644\u0627\u062d\u0638\u0627\u062a \u0627\u0644\u0623\u062e\u064a\u0631\u0629\u060c \u0645\u0645\u0627 \u064a\u0639\u0646\u064a \u0623\u0646\u0647 \u0642\u0627\u062f\u0631 \u0639\u0644\u0649 \u0627\u0644\u062a\u0642\u0627\u0637 \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0627\u0644\u0623\u062e\u064a\u0631\u0629 \u0628\u0633\u0631\u0639\u0629 \u0623\u0643\u0628\u0631.<\/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 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0623\u0633\u064a \u0644\u0639\u0645\u0648\u062f \u0645\u0646 \u0627\u0644\u0642\u064a\u0645 \u0641\u064a pandas DataFrame.<\/span><\/p>\n<h3 style=\";text-align:right;direction:rtl\"> <strong>\u0645\u062b\u0627\u0644: \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0623\u0633\u064a \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 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.DataFrame({'period': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                   'sales': [25, 20, 14, 16, 27, 20, 12, 15, 14, 19]})\n\n<span style=\"color: #008080;\">#view DataFrame<\/span> \ndf\n\n        period sales\n0 1 25\n1 2 20\n2 3 14\n3 4 16\n4 5 27\n5 6 20\n6 7 12\n7 8 15\n8 9 14\n9 10 19\n<\/strong><\/pre>\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\u062f\u0627\u0644\u0629 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.ewm.html\" target=\"_blank\" rel=\"noopener noreferrer\">pandas.DataFrame.ewm()<\/a> \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0645\u0631\u062c\u062d \u0628\u0634\u0643\u0644 \u0643\u0628\u064a\u0631 \u0644\u0639\u062f\u062f \u0645\u0646 \u0627\u0644\u0641\u062a\u0631\u0627\u062a \u0627\u0644\u0633\u0627\u0628\u0642\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 \u0625\u0644\u064a\u0643 \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0645\u0631\u062c\u062d \u0628\u0634\u0643\u0644 \u0643\u0628\u064a\u0631 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0641\u062a\u0631\u0627\u062a \u0627\u0644\u0623\u0631\u0628\u0639 \u0627\u0644\u0633\u0627\u0628\u0642\u0629:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create new column to hold 4-day exponentially weighted moving average<\/span>\ndf['4dayEWM'] = df['sales']. <span style=\"color: #3366ff;\">ewm<\/span> (span= <span style=\"color: #008000;\">4<\/span> , adjust= <span style=\"color: #008000;\">False<\/span> ). <span style=\"color: #3366ff;\">mean<\/span> ()\n\n<span style=\"color: #008080;\">#view DataFrame<\/span> \ndf\n\n        period sales 4dayEWM\n0 1 25 25.000000\n1 2 20 23.000000\n2 3 14 19.400000\n3 4 16 18.040000\n4 5 27 21.624000\n5 6 20 20.974400\n6 7 12 17.384640\n7 8 15 16.430784\n8 9 14 15.458470\n9 10 19 16.875082<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0643\u062a\u0628\u0629 matplotlib \u0644\u062a\u0635\u0648\u0631 \u0627\u0644\u0645\u0628\u064a\u0639\u0627\u062a \u0645\u0642\u0627\u0631\u0646\u0629 \u0628\u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0645\u0631\u062c\u062d \u0628\u0634\u0643\u0644 \u0643\u0628\u064a\u0631 \u0644\u0645\u062f\u0629 4 \u0623\u064a\u0627\u0645:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#plot sales and 4-day exponentially weighted moving average<\/span>\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['sales'], label='Sales')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['4dayEWM'], label='4-day EWM')\n\n<span style=\"color: #008080;\">#add legend to plot<\/span>\nplt. <span style=\"color: #3366ff;\">legend<\/span> (loc=2)\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10144 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ewmpandas1.png\" alt=\"\u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0645\u0631\u062c\u062d \u0623\u0636\u0639\u0627\u0641\u0627 \u0645\u0636\u0627\u0639\u0641\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627\" width=\"464\" height=\"318\" srcset=\"\" sizes=\"\"><\/p>\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\u0645\u062a\u0648\u0633\u0637-\u0627\u0644\u0645\u062a\u062d\u0631\u0643-\u0628\u064a\u062b\u0648\u0646\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637\u0627\u062a \u0627\u0644\u0645\u062a\u062d\u0631\u0643\u0629 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0645\u062a\u0648\u0633\u0637-\u0639\u0645\u0648\u062f-\u0627\u0644\u0628\u0627\u0646\u062f\u0627\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637-\u0627\u0644\u0630\u0627\u062a\u064a-\u0628\u064a\u062b\u0648\u0646\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u062a\u0644\u0642\u0627\u0626\u064a \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0641\u064a \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0633\u0644\u0627\u0633\u0644 \u0627\u0644\u0632\u0645\u0646\u064a\u0629\u060c \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0647\u0648 \u0628\u0628\u0633\u0627\u0637\u0629 \u0645\u062a\u0648\u0633\u0637 \u0642\u064a\u0645\u0629 \u0639\u062f\u062f \u0645\u0646 \u0627\u0644\u0641\u062a\u0631\u0627\u062a \u0627\u0644\u0633\u0627\u0628\u0642\u0629. \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0623\u0633\u064a \u0647\u0648 \u0646\u0648\u0639 \u0645\u0646 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0630\u064a \u064a\u0639\u0637\u064a \u0623\u0647\u0645\u064a\u0629 \u0623\u0643\u0628\u0631 \u0644\u0644\u0645\u0644\u0627\u062d\u0638\u0627\u062a \u0627\u0644\u0623\u062e\u064a\u0631\u0629\u060c \u0645\u0645\u0627 \u064a\u0639\u0646\u064a \u0623\u0646\u0647 \u0642\u0627\u062f\u0631 \u0639\u0644\u0649 \u0627\u0644\u062a\u0642\u0627\u0637 \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0627\u0644\u0623\u062e\u064a\u0631\u0629 \u0628\u0633\u0631\u0639\u0629 \u0623\u0643\u0628\u0631. \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 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0623\u0633\u064a \u0644\u0639\u0645\u0648\u062f \u0645\u0646 \u0627\u0644\u0642\u064a\u0645 \u0641\u064a pandas DataFrame. \u0645\u062b\u0627\u0644: \u0627\u0644\u0645\u062a\u0648\u0633\u0637 [&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\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 \u0627\u0644\u0623\u0633\u064a \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/title>\n<meta name=\"description\" content=\"\u0634\u0631\u062d \u0628\u0633\u064a\u0637 \u0644\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u062a\u062d\u0631\u0643 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