{"id":968,"date":"2023-07-28T03:42:21","date_gmt":"2023-07-28T03:42:21","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%82%d8%b1%d8%a7%d8%a1%d8%a9-csv\/"},"modified":"2023-07-28T03:42:21","modified_gmt":"2023-07-28T03:42:21","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%82%d8%b1%d8%a7%d8%a1%d8%a9-csv","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%82%d8%b1%d8%a7%d8%a1%d8%a9-csv\/","title":{"rendered":"\u0627\u0644\u062f\u0644\u064a\u0644 \u0627\u0644\u0646\u0647\u0627\u0626\u064a: \u0643\u064a\u0641\u064a\u0629 \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a csv \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 pandas"},"content":{"rendered":"

<\/p>\n

\n

\u062a\u0639\u062f \u0645\u0644\u0641\u0627\u062a CSV (\u0642\u064a\u0645\u0629 \u0645\u0641\u0635\u0648\u0644\u0629 \u0628\u0641\u0648\u0627\u0635\u0644) \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u0623\u0643\u062b\u0631 \u0634\u064a\u0648\u0639\u064b\u0627 \u0644\u062a\u062e\u0632\u064a\u0646 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/span><\/p>\n

\u0644\u062d\u0633\u0646 \u0627\u0644\u062d\u0638\u060c \u062a\u062a\u064a\u062d \u0644\u0643 \u0648\u0638\u064a\u0641\u0629 Pandas read_csv ()<\/a> \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a CSV \u0628\u0633\u0647\u0648\u0644\u0629 \u0641\u064a Python \u0628\u0623\u064a \u062a\u0646\u0633\u064a\u0642 \u062a\u0631\u064a\u062f\u0647 \u062a\u0642\u0631\u064a\u0628\u064b\u0627.<\/span><\/p>\n

\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0637\u0631\u0642 \u0644\u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a CSV \u0641\u064a Python \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0644\u0641 CSV \u0627\u0644\u062a\u0627\u0644\u064a \u0627\u0644\u0645\u0633\u0645\u0649 “data.csv”<\/strong> :<\/span><\/p>\n

 playerID,team,points\n1,Lakers,26\n2,Mavs,19\n3,Bucks,24\n4,Spurs,22<\/strong><\/pre>\n
 \u0645\u062b\u0627\u0644 1: \u0627\u0642\u0631\u0623 \u0645\u0644\u0641 CSV \u0641\u064a \u0645\u0644\u0641 pandas DataFrame<\/strong><\/span><\/h2>\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 \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641 CSV \u0641\u064a pandas DataFrame:<\/span><\/p>\n
 #import CSV file as DataFrame<\/span>\ndf = pd. read_csv<\/span> ('data.csv')<\/strong><\/span>\n\n#view DataFrame<\/span>\ndf\n\n        playerID team points\n0 1 Lakers 26\n1 2 Mavs 19\n2 3 Bucks 24\n3 4 Spurs 22<\/strong><\/span><\/pre>\n
 \u0645\u062b\u0627\u0644 2: \u0642\u0631\u0627\u0621\u0629 \u0623\u0639\u0645\u062f\u0629 \u0645\u062d\u062f\u062f\u0629 \u0645\u0646 \u0645\u0644\u0641 CSV<\/strong><\/span><\/h2>\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 \u0642\u0631\u0627\u0621\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0633\u0645\u0627\u0629 “playerID” \u0648”\u0627\u0644\u0646\u0642\u0627\u0637” \u0645\u0646 \u0645\u0644\u0641 CSV \u0641\u0642\u0637 \u0641\u064a pandas DataFrame:<\/span><\/p>\n
 #import only specific columns from CSV file<\/span>\ndf = pd. read_csv<\/span> ('data.csv', usecols=[' playerID<\/span> ',' points<\/span> '])<\/strong><\/span>\n\n#view DataFrame<\/span>\ndf\n\n\tplayerID points\n0 1 26\n1 2 19\n2 3 24\n3 4 22<\/strong><\/span><\/pre>\n
 \u064a\u0645\u0643\u0646\u0643 \u0623\u064a\u0636\u064b\u0627 \u062a\u062d\u062f\u064a\u062f \u0641\u0647\u0627\u0631\u0633 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0644\u0642\u0631\u0627\u0621\u062a\u0647\u0627 \u0641\u064a Pandas DataFrame:<\/span><\/p>\n
 #import only specific columns from CSV file<\/span>\ndf = pd. read_csv<\/span> (' data.csv<\/span> ', usecols=[ 0,1<\/span> ])<\/strong><\/span>\n\n#view DataFrame<\/span>\ndf\n\n        playerID team\n0 1 Lakers\n1 2 Mavs\n2 3 Bucks\n3 4 Spurs<\/strong><\/span><\/pre>\n
 \u0645\u062b\u0627\u0644 3: \u062d\u062f\u062f \u0635\u0641 \u0627\u0644\u0631\u0623\u0633 \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 CSV<\/strong><\/span><\/h2>\n
 \u0641\u064a \u0628\u0639\u0636 \u0627\u0644\u062d\u0627\u0644\u0627\u062a\u060c \u0642\u062f \u0644\u0627 \u064a\u0643\u0648\u0646 \u0635\u0641 \u0627\u0644\u0631\u0623\u0633 \u0647\u0648 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u0648\u0644 \u0641\u064a \u0645\u0644\u0641 CSV.<\/span><\/p>\n
 \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u062e\u0630 \u0628\u0639\u064a\u0646 \u0627\u0644\u0627\u0639\u062a\u0628\u0627\u0631 \u0645\u0644\u0641 CSV \u0627\u0644\u062a\u0627\u0644\u064a \u0627\u0644\u0630\u064a \u064a\u0638\u0647\u0631 \u0641\u064a\u0647 \u0635\u0641 \u0627\u0644\u0631\u0623\u0633 \u0628\u0627\u0644\u0641\u0639\u0644 \u0641\u064a \u0627\u0644\u0635\u0641 \u0627\u0644\u062b\u0627\u0646\u064a:<\/span><\/p>\n
 random,data,values\nplayerID,team,points\n1,Lakers,26\n2,Mavs,19\n3,Bucks,24\n4,Spurs,22<\/strong><\/span><\/pre>\n
 \u0644\u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641 CSV \u0647\u0630\u0627 \u0641\u064a pandas DataFrame\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u062a\u062d\u062f\u064a\u062f header=1<\/strong> \u0643\u0645\u0627 \u064a\u0644\u064a:<\/span><\/p>\n
 #import from CSV file and specify that header starts on second row<\/span>\ndf = pd. read_csv<\/span> ('data.csv', header= 1<\/span> )<\/strong><\/span>\n\n#view DataFrame<\/span>\ndf\n\n        playerID team points\n0 1 Lakers 26\n1 2 Mavs 19\n2 3 Bucks 24\n3 4 Spurs 22<\/strong><\/span><\/pre>\n
 \u0645\u062b\u0627\u0644 4: \u062a\u062e\u0637\u064a \u0627\u0644\u0635\u0641\u0648\u0641 \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 CSV<\/strong><\/span><\/h2>\n
 \u064a\u0645\u0643\u0646\u0643 \u0623\u064a\u0636\u064b\u0627 \u062a\u062e\u0637\u064a \u0627\u0644\u0635\u0641\u0648\u0641 \u0628\u0633\u0647\u0648\u0644\u0629 \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 CSV \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0633\u064a\u0637\u0629 Skirows<\/strong> .<\/span><\/p>\n
 \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 \u062a\u062c\u0627\u0647\u0644 \u0627\u0644\u0633\u0637\u0631 \u0627\u0644\u062b\u0627\u0646\u064a \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 CSV:<\/span><\/p>\n
 #import from CSV file and skip second row<\/span>\ndf = pd. read_csv<\/span> ('data.csv', skiprows=[ 1 ]<\/span><\/span> )<\/span><\/strong><\/span>\n\n#view DataFrame<\/span>\ndf\n\n        playerID team points\n0 2 Mavs 19\n1 3 Bucks 24\n2 4 Spurs 22<\/strong><\/span><\/pre>\n
 \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\u062c\u0627\u0647\u0644 \u0627\u0644\u0633\u0637\u0631\u064a\u0646 \u0627\u0644\u062b\u0627\u0646\u064a \u0648\u0627\u0644\u062b\u0627\u0644\u062b<\/em> \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 CSV:<\/span><\/p>\n
 #import from CSV file and skip second and third rows<\/span>\ndf = pd. read_csv<\/span> ('data.csv', skiprows=[ 1,2 ]<\/span><\/span> )<\/span><\/strong><\/span>\n\n#view DataFrame<\/span>\ndf\n\n        playerID team points\n1 3 Bucks 24\n2 4 Spurs 22<\/strong><\/span><\/pre>\n
 \u0645\u062b\u0627\u0644 5: \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a CSV \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u062d\u062f\u062f \u0645\u062e\u0635\u0635<\/strong><\/span><\/h2>\n
 \u0641\u064a \u0628\u0639\u0636 \u0627\u0644\u0623\u062d\u064a\u0627\u0646 \u0642\u062f \u064a\u0643\u0648\u0646 \u0644\u062f\u064a\u0643 \u0645\u0644\u0641 CSV \u0628\u0645\u062d\u062f\u062f \u063a\u064a\u0631 \u0627\u0644\u0641\u0627\u0635\u0644\u0629.<\/span><\/p>\n
 \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0645\u0644\u0641 CSV \u0627\u0644\u062e\u0627\u0635 \u0628\u0646\u0627 \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0634\u0631\u0637\u0629 \u0633\u0641\u0644\u064a\u0629 \u0643\u0645\u062d\u062f\u062f:<\/span><\/p>\n
 playerID_team_points\n1_Lakers_26\n2_Mavs_19\n3_Bucks_24\n4_Spurs_22\n<\/strong><\/span><\/pre>\n
 \u0644\u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641 CSV \u0647\u0630\u0627 \u0625\u0644\u0649 \u0627\u0644\u0628\u0627\u0646\u062f\u0627\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0648\u0633\u064a\u0637\u0629 sep<\/strong> \u0644\u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0645\u062d\u062f\u062f \u0627\u0644\u0630\u064a \u0633\u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647 \u0639\u0646\u062f \u0642\u0631\u0627\u0621\u0629 \u0627\u0644\u0645\u0644\u0641:<\/span><\/p>\n
 #import from CSV file and specify delimiter to use<\/span>\ndf = pd. read_csv<\/span> ('data.csv', sep=' _<\/span> ')<\/strong><\/span>\n\n#view DataFrame<\/span>\ndf\n\n\tplayerID team points\n0 1 Lakers 26\n1 2 Mavs 19\n2 3 Bucks 24\n3 4 Spurs 22<\/strong><\/span><\/pre>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/span><\/strong><\/span><\/h2>\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 \u0645\u0647\u0627\u0645 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649:<\/span><\/p>\n
 \u0643\u064a\u0641\u064a\u0629 \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641 \u0646\u0635\u064a \u0645\u0639 \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a Excel \u0645\u0639 Pandas<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a TSV \u0645\u0639 Pandas<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0642\u0631\u0627\u0621\u0629 \u062c\u062f\u0627\u0648\u0644 HTML \u0645\u0639 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u062a\u0639\u062f \u0645\u0644\u0641\u0627\u062a CSV (\u0642\u064a\u0645\u0629 \u0645\u0641\u0635\u0648\u0644\u0629 \u0628\u0641\u0648\u0627\u0635\u0644) \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u0623\u0643\u062b\u0631 \u0634\u064a\u0648\u0639\u064b\u0627 \u0644\u062a\u062e\u0632\u064a\u0646 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a. \u0644\u062d\u0633\u0646 \u0627\u0644\u062d\u0638\u060c \u062a\u062a\u064a\u062d \u0644\u0643 \u0648\u0638\u064a\u0641\u0629 Pandas read_csv () \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a CSV \u0628\u0633\u0647\u0648\u0644\u0629 \u0641\u064a Python \u0628\u0623\u064a \u062a\u0646\u0633\u064a\u0642 \u062a\u0631\u064a\u062f\u0647 \u062a\u0642\u0631\u064a\u0628\u064b\u0627. \u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0637\u0631\u0642 \u0644\u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a CSV \u0641\u064a Python \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0644\u0641 CSV \u0627\u0644\u062a\u0627\u0644\u064a \u0627\u0644\u0645\u0633\u0645\u0649 “data.csv” : playerID,team,points 1,Lakers,26 2,Mavs,19 3,Bucks,24 4,Spurs,22 \u0645\u062b\u0627\u0644 1: […]<\/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\u062f\u0644\u064a\u0644 \u0627\u0644\u0646\u0647\u0627\u0626\u064a: \u0643\u064a\u0641\u064a\u0629 \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a CSV \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Pandas - Statorials<\/title>\n<meta name=\"description\" content=\"\u062f\u0644\u064a\u0644 \u0643\u0627\u0645\u0644 \u0644\u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a CSV \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\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\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0642\u0631\u0627\u0621\u0629-csv\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0627\u0644\u062f\u0644\u064a\u0644 \u0627\u0644\u0646\u0647\u0627\u0626\u064a: \u0643\u064a\u0641\u064a\u0629 \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641\u0627\u062a CSV \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Pandas - 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