{"id":2093,"date":"2023-07-23T17:39:42","date_gmt":"2023-07-23T17:39:42","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%aa%d9%86%d8%b7%d8%a8%d9%82-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%b9%d9%84%d9%89-%d8%a7%d9%84%d9%85%d9%88%d9%82%d8%b9\/"},"modified":"2023-07-23T17:39:42","modified_gmt":"2023-07-23T17:39:42","slug":"%d8%aa%d9%86%d8%b7%d8%a8%d9%82-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%b9%d9%84%d9%89-%d8%a7%d9%84%d9%85%d9%88%d9%82%d8%b9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%aa%d9%86%d8%b7%d8%a8%d9%82-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%b9%d9%84%d9%89-%d8%a7%d9%84%d9%85%d9%88%d9%82%d8%b9\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0637\u0628\u064a\u0642 pandas() \u0641\u064a \u0645\u0643\u0627\u0646\u0647"},"content":{"rendered":"

<\/p>\n

\n

\u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 pandas Apply()<\/a> \u0644\u062a\u0637\u0628\u064a\u0642 \u062f\u0627\u0644\u0629 \u0639\u0644\u0649 \u0635\u0641\u0648\u0641 \u0623\u0648 \u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame.<\/span><\/p>\n

\u062a\u062e\u062a\u0644\u0641 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0639\u0646 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0627\u0644\u0623\u062e\u0631\u0649 \u0645\u062b\u0644 drop()<\/strong> \u0648 replace()<\/strong> \u0627\u0644\u062a\u064a \u062a\u0648\u0641\u0631 \u0648\u0633\u064a\u0637\u0629 inplace:<\/span><\/p>\n

 df. drop<\/span> ([' column1<\/span> '], inplace= True<\/span> )\n\ndf. rename<\/span> ({' old_column<\/span> ': ' new_column<\/span> '}, inplace= True<\/span> )\n<\/strong><\/pre>\n
 \u0644\u0627 \u062a\u062d\u062a\u0648\u064a \u0627\u0644\u062f\u0627\u0644\u0629 application()<\/strong> \u0639\u0644\u0649 \u0648\u0633\u064a\u0637\u0629 inplace\u060c \u0644\u0630\u0644\u0643 \u064a\u062c\u0628 \u0639\u0644\u064a\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\u062d\u0648\u064a\u0644 DataFrame inplace:<\/span><\/p>\n
 df = df. apply<\/span> ( lambda<\/span> x: x* 2<\/span> )<\/strong><\/pre>\n
 \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\u0639 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>df\n\n        points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n<\/strong><\/pre>\n
 \u0645\u062b\u0627\u0644 1: \u0627\u0633\u062a\u062e\u062f\u0645 application() \u0641\u064a \u0645\u0643\u0627\u0646 \u0639\u0645\u0648\u062f<\/strong><\/span><\/h3>\n
 \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\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0637\u0628\u064a\u0642 ()<\/strong> \u0644\u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0641\u064a \u0645\u0643\u0627\u0646\u0647:<\/span><\/p>\n
 #multiply all values in 'points' column by 2 in place\n<\/span>df. loc<\/span> [:, ' points<\/span> '] = df. points<\/span> . apply<\/span> ( lambda<\/span> x: x* 2<\/span> )\n\n#view updated DataFrame<\/span>\ndf\n\npoints assists rebounds\n0 50 5 11\n1 24 7 8\n2 30 7 10\n3 28 9 6\n4 38 12 6\n5 46 9 5\n6 50 9 9\n7 58 4 12\n<\/strong><\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u0627\u0633\u062a\u062e\u062f\u0645 application() \u0641\u064a \u0645\u0643\u0627\u0646\u0647 \u0644\u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629<\/strong><\/span><\/h3>\n
 \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\u0633\u062a\u062e\u062f\u0627\u0645 application()<\/strong> \u0644\u062a\u062d\u0648\u064a\u0644 \u0623\u0639\u0645\u062f\u0629 \u0625\u0637\u0627\u0631 \u0628\u064a\u0627\u0646\u0627\u062a \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a \u0645\u0643\u0627\u0646\u0647\u0627:<\/span><\/p>\n
 multiply all values in 'points' and 'rebounds' column by 2 in place<\/span>\ndf[[' points<\/span> ', ' rebounds<\/span> ']] = df[[' points<\/span> ', ' rebounds<\/span> ']]. apply<\/span> ( lambda<\/span> x: x* 2<\/span> )\n\n#view updated DataFrame\n<\/span>df\n\n\tpoints assists rebounds\n0 50 5 22\n1 24 7 16\n2 30 7 20\n3 28 9 12\n4 38 12 12\n5 46 9 10\n6 50 9 18\n7 58 4 24\n<\/strong><\/pre>\n
 \u0645\u062b\u0627\u0644 3: \u0627\u0633\u062a\u062e\u062f\u0645 application()\u200e \u0641\u064a \u0645\u0643\u0627\u0646\u0647 \u0644\u062c\u0645\u064a\u0639 \u0627\u0644\u0623\u0639\u0645\u062f\u0629<\/strong><\/span><\/h3>\n
 \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\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0637\u0628\u064a\u0642 ()<\/strong> \u0644\u062a\u062d\u0648\u064a\u0644 \u0643\u0627\u0641\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0641\u064a \u0645\u0643\u0627\u0646\u0647\u0627:<\/span><\/p>\n
 #multiply values in all columns by 2\n<\/span>df = df. apply<\/span> ( lambda<\/span> x: x* 2<\/span> )\n\n#view updated DataFrame<\/span>\ndf\n\n\tpoints assists rebounds\n0 50 10 22\n1 24 14 16\n2 30 14 20\n3 28 18 12\n4 38 24 12\n5 46 18 10\n6 50 18 18\n7 58 8 24\n<\/strong><\/pre>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \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
 \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0645\u062c\u0645\u0648\u0639 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a>
 \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>
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u062d\u062f \u0627\u0644\u0623\u0642\u0635\u0649 \u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/p>\n","protected":false},"excerpt":{"rendered":"
\u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 pandas Apply() \u0644\u062a\u0637\u0628\u064a\u0642 \u062f\u0627\u0644\u0629 \u0639\u0644\u0649 \u0635\u0641\u0648\u0641 \u0623\u0648 \u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame. \u062a\u062e\u062a\u0644\u0641 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0639\u0646 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0627\u0644\u0623\u062e\u0631\u0649 \u0645\u062b\u0644 drop() \u0648 replace() \u0627\u0644\u062a\u064a \u062a\u0648\u0641\u0631 \u0648\u0633\u064a\u0637\u0629 inplace: df. drop ([‘ column1 ‘], inplace= True ) df. rename ({‘ old_column ‘: ‘ new_column ‘}, inplace= True ) \u0644\u0627 \u062a\u062d\u062a\u0648\u064a \u0627\u0644\u062f\u0627\u0644\u0629 application() \u0639\u0644\u0649 \u0648\u0633\u064a\u0637\u0629 inplace\u060c \u0644\u0630\u0644\u0643 \u064a\u062c\u0628 […]<\/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":"\n\u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0637\u0628\u064a\u0642 Pandas() \u0641\u064a \u0645\u0643\u0627\u0646\u0647 - Statorials<\/title>\n<meta name=\"description\" content=\"\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 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 pandas Apply() \u0641\u064a \u0645\u0643\u0627\u0646\u0647\u0627\u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u0623\u0645\u062b\u0644\u0629.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ar\/\u062a\u0646\u0637\u0628\u0642-\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0639\u0644\u0649-\u0627\u0644\u0645\u0648\u0642\u0639\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0637\u0628\u064a\u0642 Pandas() \u0641\u064a \u0645\u0643\u0627\u0646\u0647 - 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Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ar\/#website\"},\"datePublished\":\"2023-07-23T17:39:42+00:00\",\"dateModified\":\"2023-07-23T17:39:42+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3\"},\"description\":\"\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 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 pandas Apply() \u0641\u064a \u0645\u0643\u0627\u0646\u0647\u0627\u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u0623\u0645\u062b\u0644\u0629.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/ar\/%d8%aa%d9%86%d8%b7%d8%a8%d9%82-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%b9%d9%84%d9%89-%d8%a7%d9%84%d9%85%d9%88%d9%82%d8%b9\/#breadcrumb\"},\"inLanguage\":\"azb\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/ar\/%d8%aa%d9%86%d8%b7%d8%a8%d9%82-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%b9%d9%84%d9%89-%d8%a7%d9%84%d9%85%d9%88%d9%82%d8%b9\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/ar\/%d8%aa%d9%86%d8%b7%d8%a8%d9%82-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%b9%d9%84%d9%89-%d8%a7%d9%84%d9%85%d9%88%d9%82%d8%b9\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0628\u064a\u062a\",\"item\":\"https:\/\/statorials.org\/ar\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0637\u0628\u064a\u0642 pandas() \u0641\u064a \u0645\u0643\u0627\u0646\u0647\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/ar\/#website\",\"url\":\"https:\/\/statorials.org\/ar\/\",\"name\":\"Statorials\",\"description\":\"\u062f\u0644\u064a\u0644\u0643 \u0644\u0645\u062d\u0648 \u0627\u0644\u0623\u0645\u064a\u0629 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0629!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/ar\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"azb\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3\",\"name\":\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"azb\",\"@id\":\"https:\/\/statorials.org\/ar\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/ar\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/ar\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\"},\"description\":\"\u0645\u0631\u062d\u0628\u064b\u0627\u060c \u0623\u0646\u0627 \u0628\u0646\u062c\u0627\u0645\u064a\u0646\u060c \u0623\u0633\u062a\u0627\u0630 \u0627\u0644\u0625\u062d\u0635\u0627\u0621 \u0627\u0644\u0645\u062a\u0642\u0627\u0639\u062f \u0627\u0644\u0630\u064a \u062a\u062d\u0648\u0644 \u0625\u0644\u0649 \u0645\u062f\u0631\u0633 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a Statorials. \u0628\u0641\u0636\u0644 \u062e\u0628\u0631\u062a\u064a \u0627\u0644\u0648\u0627\u0633\u0639\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0625\u062d\u0635\u0627\u0621\u060c \u0641\u0623\u0646\u0627 \u062d\u0631\u064a\u0635 \u0639\u0644\u0649 \u0645\u0634\u0627\u0631\u0643\u0629 \u0645\u0639\u0631\u0641\u062a\u064a \u0644\u062a\u0645\u0643\u064a\u0646 \u0627\u0644\u0637\u0644\u0627\u0628 \u0645\u0646 \u062e\u0644\u0627\u0644 Statorials. \u062a\u0639\u0631\u0641 \u0623\u0643\u062b\u0631\",\"sameAs\":[\"https:\/\/statorials.org\/ar\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0637\u0628\u064a\u0642 Pandas() \u0641\u064a \u0645\u0643\u0627\u0646\u0647 - 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