{"id":2096,"date":"2023-07-23T17:12:17","date_gmt":"2023-07-23T17:12:17","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%aa%d8%b3%d8%b7%d8%ad-multiindex\/"},"modified":"2023-07-23T17:12:17","modified_gmt":"2023-07-23T17:12:17","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%aa%d8%b3%d8%b7%d8%ad-multiindex","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%aa%d8%b3%d8%b7%d8%ad-multiindex\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062a\u0633\u0648\u064a\u0629 multiindex \u0641\u064a pandas (\u0645\u0639 \u0623\u0645\u062b\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 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062a\u0633\u0648\u064a\u0629 MultiIndex \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#flatten all levels of MultiIndex<\/span>\ndf. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#flatten specific levels of MultiIndex<\/span>\ndf. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> , level = [' <span style=\"color: #ff0000;\">level_name<\/span> '])\n<\/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 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \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: \u062a\u0633\u0648\u064a\u0629 \u062c\u0645\u064a\u0639 \u0645\u0633\u062a\u0648\u064a\u0627\u062a MultiIndex \u0641\u064a Pandas<\/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 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 MultiIndex DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>index_names = pd. <span style=\"color: #3366ff;\">MultiIndex<\/span> . <span style=\"color: #3366ff;\">from_tuples<\/span> ([('Level1','Lev1', 'L1'),\n                                       ('Level2','Lev2', 'L2'),\n                                       ('Level3','Lev3', 'L3'),\n                                       ('Level4','Lev4', 'L4')],\n                                       names=['Full','Partial', 'ID'])\n\ndata = {'Store': ['A','B','C','D'],\n        'Sales': [12, 44, 29, 35]}\n\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns = [' <span style=\"color: #ff0000;\">Store<\/span> ',' <span style=\"color: #ff0000;\">Sales<\/span> '], index=index_names)\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\t\t\tStore Sales\nFull Partial ID\t\t\nLevel1 Lev1 L1 A 17\nLevel2 Lev2 L2 B 22\nLevel3 Lev3 L3 C 29\nLevel4 Lev4 L4 D 35\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 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062a\u0633\u0648\u064a\u0629 \u0643\u0644 \u0645\u0633\u062a\u0648\u0649 \u0645\u0646 MultiIndex \u0641\u064a \u0623\u0639\u0645\u062f\u0629 DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#flatten every level of MultiIndex<\/span> \ndf. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\ndf\n\n        Full Partial ID Store Sales\n0 Level1 Lev1 L1 A 12\n1 Level2 Lev2 L2 B 44\n2 Level3 Lev3 L3 C 29\n3 Level4 Lev4 L4 D 35\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646 \u0643\u0644 \u0645\u0633\u062a\u0648\u0649 \u0645\u0646 MultiIndex \u0623\u0635\u0628\u062d \u0627\u0644\u0622\u0646 \u0639\u0645\u0648\u062f\u064b\u0627 \u0641\u064a DataFrame.<\/span><\/p>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0645\u062b\u0627\u0644 2: \u062a\u0633\u0648\u064a\u0629 \u0645\u0633\u062a\u0648\u064a\u0627\u062a \u0645\u0639\u064a\u0646\u0629 \u0645\u0646 MultiIndex \u0641\u064a Pandas<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 \u0646\u0641\u0633 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0643\u0645\u0627 \u0641\u064a \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u0633\u0627\u0628\u0642:<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view DataFrame<\/span>\n<span style=\"color: #000000;\">df\n\n<\/span>Store Sales\nFull Partial ID\t\t\nLevel1 Lev1 L1 A 12\nLevel2 Lev2 L2 B 44\nLevel3 Lev3 L3 C 29\nLevel4 Lev4 L4 D 35\n<\/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 \u062a\u0633\u0648\u064a\u0629 \u0645\u0633\u062a\u0648\u0649 \u0648\u0627\u062d\u062f \u0645\u062d\u062f\u062f \u0645\u0646 MultiIndex:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#flatten 'ID' level only\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> ,level=[' <span style=\"color: #ff0000;\">ID<\/span> '])\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\ndf\n\n\t\tID Store Sales\nFull Partial\t\t\t\nLevel1 Lev1 L1 A 12\nLevel2 Lev2 L2 B 44\nLevel3 Lev3 L3 C 29\nLevel4 Lev4 L4 D 35<\/span>\n<\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\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 \u062a\u0633\u0648\u064a\u0629 \u0639\u062f\u0629 \u0645\u0633\u062a\u0648\u064a\u0627\u062a \u0645\u062d\u062f\u062f\u0629 \u0645\u0646 MultiIndex:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#flatten 'ID' level only\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> ,level=[' <span style=\"color: #ff0000;\">Partial<\/span> ',' <span style=\"color: #ff0000;\">ID<\/span> '])\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\ndf\n\n\tPartial ID Store Sales\nFull\t\t\t\t\nLevel1 Lev1 L1 A 12\nLevel2 Lev2 L2 B 44\nLevel3 Lev3 L3 C 29\nLevel4 Lev4 L4 D 35<\/span><\/span><\/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\"> <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 \u0623\u062f\u0627\u0621 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \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-\u062a\u062d\u0648\u064a\u0644-\u0627\u0644\u0641\u0647\u0631\u0633-\u0627\u0655\u0644\u0649-\u0639\u0645\u0648\u062f\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0641\u0647\u0631\u0633 \u0625\u0644\u0649 \u0639\u0645\u0648\u062f \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0655\u0639\u0627\u062f\u0629-\u062a\u0633\u0645\u064a\u0629-\u0645\u0648\u0654\u0634\u0631-\u0627\u0644\u0628\u0627\u0646\u062f\u0627\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0625\u0639\u0627\u062f\u0629 \u062a\u0633\u0645\u064a\u0629 \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\u0639\u064a\u064a\u0646-\u0627\u0644\u0639\u0645\u0648\u062f-\u0643\u0645\u0648\u0654\u0634\u0631\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u062a\u0639\u064a\u064a\u0646 \u0627\u0644\u0639\u0645\u0648\u062f \u0643\u0641\u0647\u0631\u0633 \u0641\u064a Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062a\u0633\u0648\u064a\u0629 MultiIndex \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627: #flatten all levels of MultiIndex df. reset_index (inplace= True ) #flatten specific levels of MultiIndex df. reset_index (inplace= True , level = [&#8216; level_name &#8216;]) \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 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \u0639\u0645\u0644\u064a\u064b\u0627. \u0645\u062b\u0627\u0644 1: \u062a\u0633\u0648\u064a\u0629 \u062c\u0645\u064a\u0639 \u0645\u0633\u062a\u0648\u064a\u0627\u062a MultiIndex \u0641\u064a Pandas \u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 [&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 \u062a\u0633\u0648\u064a\u0629 MultiIndex \u0641\u064a Pandas (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629) - Statorials<\/title>\n<meta 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