{"id":2590,"date":"2023-07-21T14:33:38","date_gmt":"2023-07-21T14:33:38","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d8%b5%d9%81-%d8%a7%d9%84%d8%a7%d9%94%d9%88%d9%84-%d9%85%d9%86-%d9%83%d9%84-%d9%85%d8%ac%d9%85%d9%88%d8%b9%d8%a9\/"},"modified":"2023-07-21T14:33:38","modified_gmt":"2023-07-21T14:33:38","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d8%b5%d9%81-%d8%a7%d9%84%d8%a7%d9%94%d9%88%d9%84-%d9%85%d9%86-%d9%83%d9%84-%d9%85%d8%ac%d9%85%d9%88%d8%b9%d8%a9","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%d8%b5%d9%81-%d8%a7%d9%84%d8%a7%d9%94%d9%88%d9%84-%d9%85%d9%86-%d9%83%d9%84-%d9%85%d8%ac%d9%85%d9%88%d8%b9%d8%a9\/","title":{"rendered":"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 \u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629"},"content":{"rendered":"

<\/p>\n

\n

\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\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 \u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a pandas DataFrame:<\/span><\/p>\n

 df. groupby<\/span> (' column_name<\/span> '). nth<\/span> ( 0<\/span> )\n<\/strong><\/pre>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \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
 \u0645\u062b\u0627\u0644: \u0627\u062d\u0635\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 \u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/strong><\/span><\/h3>\n
 \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
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'B', 'B', 'B', 'C', 'C', 'C'],\n                   ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 29],\n                   ' assists<\/span> ': [5, 19, 14, 8, 9, 12, 13, 8]})\n\n#view DataFrame\n<\/span>df\n\n\tteam points assists\n0 to 18 5\n1 To 22 19\n2 B 19 14\n3 B 14 8\n4 B 14 9\n5 C 11 12\n6 C 20 13\n7 C 29 8\n<\/strong><\/span><\/pre>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0644\u0643\u0644 \u0641\u0631\u064a\u0642:<\/span><\/p>\n
 #get first row for each team\n<\/span>df. groupby<\/span> (' team<\/span> '). nth<\/span> ( 0<\/span> )\n\n\tassist points\nteam\t\t\nAt 18 5\nB 19 14\nC 11 12<\/span><\/span><\/strong><\/pre>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u062a\u062d\u062f\u064a\u062f as_index=False<\/strong> \u0644\u0644\u0627\u062d\u062a\u0641\u0627\u0638 \u0628\u0642\u064a\u0645 \u0627\u0644\u0641\u0647\u0631\u0633 \u0627\u0644\u0623\u0635\u0644\u064a\u0629:<\/span><\/p>\n
 #get first row for each team, keep original index values<\/span>\ndf. groupby<\/span> (' team<\/span> ', as_index= False<\/span> ). nth<\/span> ( 0<\/span> )\n<\/span>\n        team points assists\n0 to 18 5\n2 B 19 14\n5 C 11 12<\/span><\/span><\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u064a\u0636\u064b\u0627 \u0623\u0646\u0647 \u064a\u0645\u0643\u0646\u0643 \u062a\u0645\u0631\u064a\u0631 \u0642\u0627\u0626\u0645\u0629 \u0627\u0644\u0642\u064a\u0645 \u0625\u0644\u0649 \u0627\u0644\u062f\u0627\u0644\u0629 nth()<\/strong> \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0631\u064a\u062f \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641\u0648\u0641 n \u0627\u0644\u0623\u0648\u0644\u0649 \u0645\u0646 \u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629.<\/span><\/p>\n
 \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0623\u0648\u0644 \u0635\u0641\u064a\u0646 \u0645\u0646 \u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629:<\/span><\/p>\n
 #get first two rows for each team, keep original index values\n<\/span>df. groupby<\/span> (' team<\/span> ', as_index= False<\/span> ). nth<\/span> (( 0,1<\/span> )<\/span> )\n<\/span>\nteam points assists\n0 to 18 5\n1 To 22 19\n2 B 19 14\n3 B 14 8\n5 C 11 12\n6 C 20 13<\/span><\/span><\/strong><\/pre>\n
 \u0645\u0644\u0627\u062d\u0638\u0629<\/strong> : \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\u0644\u062f\u0627\u0644\u0629 nth()<\/strong> \u0647\u0646\u0627<\/a> .<\/span><\/p>\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 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u0639\u0645\u0644\u064a\u0627\u062a \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 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 Pandas DataFrame<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0641\u064a Pandas DataFrame<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0625\u062f\u0631\u0627\u062c \u0635\u0641 \u0641\u064a Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\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\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 \u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a pandas DataFrame: df. groupby (‘ column_name ‘). nth ( 0 ) \u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \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: \u0627\u062d\u0635\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 \u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \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: import pandas as pd #createDataFrame […]<\/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\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 \u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629 \u2013 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\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 \u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a Pandas DataFrame\u060c \u0645\u0639 \u0639\u062f\u0629 \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\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0627\u0644\u0635\u0641-\u0627\u0644\u0627\u0654\u0648\u0644-\u0645\u0646-\u0643\u0644-\u0645\u062c\u0645\u0648\u0639\u0629\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 \u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629 \u2013 Statorials\" 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