{"id":966,"date":"2023-07-28T03:42:21","date_gmt":"2023-07-28T03:42:21","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82%d1%8c-csv\/"},"modified":"2023-07-28T03:42:21","modified_gmt":"2023-07-28T03:42:21","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82%d1%8c-csv","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82%d1%8c-csv\/","title":{"rendered":"\u041f\u043e\u0432\u043d\u0438\u0439 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a: \u044f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 csv \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e pandas"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0424\u0430\u0439\u043b\u0438 CSV (\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u0440\u043e\u0437\u0434\u0456\u043b\u0435\u043d\u0456 \u043a\u043e\u043c\u0430\u043c\u0438) \u0454 \u043e\u0434\u043d\u0438\u043c \u0456\u0437 \u043d\u0430\u0439\u043f\u043e\u0448\u0438\u0440\u0435\u043d\u0456\u0448\u0438\u0445 \u0441\u043f\u043e\u0441\u043e\u0431\u0456\u0432 \u0437\u0431\u0435\u0440\u0456\u0433\u0430\u043d\u043d\u044f \u0434\u0430\u043d\u0438\u0445.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430 \u0449\u0430\u0441\u0442\u044f, \u0444\u0443\u043d\u043a\u0446\u0456\u044f pandas <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.read_csv.html\" target=\"_blank\" rel=\"noopener noreferrer\">read_csv()<\/a> \u0434\u043e\u0437\u0432\u043e\u043b\u044f\u0454 \u043b\u0435\u0433\u043a\u043e \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 CSV \u0443 Python \u043c\u0430\u0439\u0436\u0435 \u0432 \u0431\u0443\u0434\u044c-\u044f\u043a\u043e\u043c\u0443 \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e\u043c\u0443 \u0444\u043e\u0440\u043c\u0430\u0442\u0456.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454 \u043a\u0456\u043b\u044c\u043a\u0430 \u0441\u043f\u043e\u0441\u043e\u0431\u0456\u0432 \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0456\u0432 CSV \u0443 Python \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u0433\u043e \u0444\u0430\u0439\u043b\u0443 CSV \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e <strong>\u00abdata.csv\u00bb<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>playerID,team,points\n1,Lakers,26\n2,Mavs,19\n3,Bucks,24\n4,Spurs,22<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0447\u0438\u0442\u0430\u0439\u0442\u0435 \u0444\u0430\u0439\u043b CSV \u0443 DataFrame pandas<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b CSV \u0443 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#import CSV file as DataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('data.csv')<\/strong><\/span>\n\n<span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#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<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u043f\u0435\u0432\u043d\u0438\u0445 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432 \u0456\u0437 \u0444\u0430\u0439\u043b\u0443 CSV<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u043b\u0438\u0448\u0435 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0437 \u043f\u043e\u0437\u043d\u0430\u0447\u043a\u0430\u043c\u0438 \u00abplayerID\u00bb \u0456 \u00abpoints\u00bb \u0456\u0437 \u0444\u0430\u0439\u043b\u0443 CSV \u0443 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#import only specific columns from CSV file<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('data.csv', usecols=[' <span style=\"color: #008000;\">playerID<\/span> ',' <span style=\"color: #008000;\">points<\/span> '])<\/strong><\/span>\n\n<span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n\tplayerID points\n0 1 26\n1 2 19\n2 3 24\n3 4 22<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u0412\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u043a\u0430\u0437\u0430\u0442\u0438 \u0456\u043d\u0434\u0435\u043a\u0441\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432 \u0434\u043b\u044f \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0432 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#import only specific columns from CSV file<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (' <span style=\"color: #008000;\">data.csv<\/span> ', usecols=[ <span style=\"color: #008000;\">0,1<\/span> ])<\/strong><\/span>\n\n<span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n        playerID team\n0 1 Lakers\n1 2 Mavs\n2 3 Bucks\n3 4 Spurs<\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u0443\u043a\u0430\u0436\u0456\u0442\u044c \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u043f\u0456\u0434 \u0447\u0430\u0441 \u0456\u043c\u043f\u043e\u0440\u0442\u0443 \u0444\u0430\u0439\u043b\u0443 CSV<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0423 \u0434\u0435\u044f\u043a\u0438\u0445 \u0432\u0438\u043f\u0430\u0434\u043a\u0430\u0445 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u043c\u043e\u0436\u0435 \u0431\u0443\u0442\u0438 \u043d\u0435 \u043f\u0435\u0440\u0448\u0438\u043c \u0443 \u0444\u0430\u0439\u043b\u0456 CSV.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u0440\u043e\u0437\u0433\u043b\u044f\u043d\u0435\u043c\u043e \u0442\u0430\u043a\u0438\u0439 \u0444\u0430\u0439\u043b CSV, \u0443 \u044f\u043a\u043e\u043c\u0443 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u043e \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0454\u0442\u044c\u0441\u044f \u0443 \u0434\u0440\u0443\u0433\u043e\u043c\u0443 \u0440\u044f\u0434\u043a\u0443:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>random,data,values\nplayerID,team,points\n1,Lakers,26\n2,Mavs,19\n3,Bucks,24\n4,Spurs,22<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u0429\u043e\u0431 \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u0438 \u0446\u0435\u0439 CSV-\u0444\u0430\u0439\u043b \u0443 pandas DataFrame, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u043a\u0430\u0437\u0430\u0442\u0438 <strong>header=1<\/strong> \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u043c \u0447\u0438\u043d\u043e\u043c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#import from CSV file and specify that header starts on second row<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('data.csv', header= <span style=\"color: #008000;\">1<\/span> )<\/strong><\/span>\n\n<span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#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<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 4: \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438 \u043f\u0456\u0434 \u0447\u0430\u0441 \u0456\u043c\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0443 CSV<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0412\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u0442\u0435 \u043b\u0435\u0433\u043a\u043e \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438 \u043f\u0456\u0434 \u0447\u0430\u0441 \u0456\u043c\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0443 CSV \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u0443 <strong>skiprows<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0439 \u043d\u0438\u0436\u0447\u0435 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0456\u0433\u043d\u043e\u0440\u0443\u0432\u0430\u0442\u0438 \u0434\u0440\u0443\u0433\u0438\u0439 \u0440\u044f\u0434\u043e\u043a \u043f\u0456\u0434 \u0447\u0430\u0441 \u0456\u043c\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0443 CSV:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#import from CSV file and skip second row<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('data.csv', skiprows=[ <span style=\"color: #008000;\">1 <span style=\"color: #000000;\">]<\/span><\/span> <span style=\"color: #000000;\">)<\/span><\/strong><\/span>\n\n<span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#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<p> <span style=\"color: #000000;\">\u0410 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0456\u0433\u043d\u043e\u0440\u0443\u0432\u0430\u0442\u0438 \u0434\u0440\u0443\u0433\u0438\u0439 <em>\u0456<\/em> \u0442\u0440\u0435\u0442\u0456\u0439 \u0440\u044f\u0434\u043a\u0438 \u043f\u0456\u0434 \u0447\u0430\u0441 \u0456\u043c\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0443 CSV:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#import from CSV file and skip second and third rows<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('data.csv', skiprows=[ <span style=\"color: #008000;\">1,2 <span style=\"color: #000000;\">]<\/span><\/span> <span style=\"color: #000000;\">)<\/span><\/strong><\/span>\n\n<span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n        playerID team points\n1 3 Bucks 24\n2 4 Spurs 22<\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 5: \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0456\u0432 CSV \u0456\u0437 \u0441\u043f\u0435\u0446\u0456\u0430\u043b\u044c\u043d\u0438\u043c \u0440\u043e\u0437\u0434\u0456\u043b\u044c\u043d\u0438\u043a\u043e\u043c<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0406\u043d\u043e\u0434\u0456 \u0443 \u0432\u0430\u0441 \u043c\u043e\u0436\u0435 \u0431\u0443\u0442\u0438 \u0444\u0430\u0439\u043b CSV \u0456\u0437 \u0440\u043e\u0437\u0434\u0456\u043b\u044c\u043d\u0438\u043a\u043e\u043c, \u0432\u0456\u0434\u043c\u0456\u043d\u043d\u0438\u043c \u0432\u0456\u0434 \u043a\u043e\u043c\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u043f\u0440\u0438\u043f\u0443\u0441\u0442\u0456\u043c\u043e, \u0449\u043e \u043d\u0430\u0448 \u0444\u0430\u0439\u043b CSV \u043c\u0430\u0454 \u043f\u0456\u0434\u043a\u0440\u0435\u0441\u043b\u0435\u043d\u043d\u044f \u044f\u043a \u0440\u043e\u0437\u0434\u0456\u043b\u044c\u043d\u0438\u043a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>playerID_team_points\n1_Lakers_26\n2_Mavs_19\n3_Bucks_24\n4_Spurs_22\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u0429\u043e\u0431 \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u0438 \u0446\u0435\u0439 \u0444\u0430\u0439\u043b CSV \u0443 pandas, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 <strong>sep<\/strong> , \u0449\u043e\u0431 \u0432\u043a\u0430\u0437\u0430\u0442\u0438 \u0440\u043e\u0437\u0434\u0456\u043b\u044c\u043d\u0438\u043a, \u044f\u043a\u0438\u0439 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438\u043c\u0435\u0442\u044c\u0441\u044f \u043f\u0456\u0434 \u0447\u0430\u0441 \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0443:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#import from CSV file and specify delimiter to use<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('data.csv', sep=' <span style=\"color: #993300;\">_<\/span> ')<\/strong><\/span>\n\n<span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#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<h2> <span style=\"color: #000000;\"><strong><span style=\"color: #000000;\">\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/span><\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u043f\u0430\u043d\u0434\u0438:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/pandas-\u0447\u0438\u0442\u0430\u0454-\u0442\u0435\u043a\u0441\u0442\u043e\u0432\u0438\u0438-\u0444\u0430\u0438\u043b\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u0438\u0439 \u0444\u0430\u0439\u043b \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e Pandas<\/a><br \/><a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0447\u0438\u0442\u0430\u044e\u0442\u044c-excel\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 Excel \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0447\u0438\u0442\u0430\u0442\u0438-\u0446\u0432\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 TSV \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0447\u0438\u0442\u0430\u044e\u0442\u044c-html\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0442\u0430\u0431\u043b\u0438\u0446\u0456 HTML \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0424\u0430\u0439\u043b\u0438 CSV (\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u0440\u043e\u0437\u0434\u0456\u043b\u0435\u043d\u0456 \u043a\u043e\u043c\u0430\u043c\u0438) \u0454 \u043e\u0434\u043d\u0438\u043c \u0456\u0437 \u043d\u0430\u0439\u043f\u043e\u0448\u0438\u0440\u0435\u043d\u0456\u0448\u0438\u0445 \u0441\u043f\u043e\u0441\u043e\u0431\u0456\u0432 \u0437\u0431\u0435\u0440\u0456\u0433\u0430\u043d\u043d\u044f \u0434\u0430\u043d\u0438\u0445. \u041d\u0430 \u0449\u0430\u0441\u0442\u044f, \u0444\u0443\u043d\u043a\u0446\u0456\u044f pandas read_csv() \u0434\u043e\u0437\u0432\u043e\u043b\u044f\u0454 \u043b\u0435\u0433\u043a\u043e \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 CSV \u0443 Python \u043c\u0430\u0439\u0436\u0435 \u0432 \u0431\u0443\u0434\u044c-\u044f\u043a\u043e\u043c\u0443 \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e\u043c\u0443 \u0444\u043e\u0440\u043c\u0430\u0442\u0456. \u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454 \u043a\u0456\u043b\u044c\u043a\u0430 \u0441\u043f\u043e\u0441\u043e\u0431\u0456\u0432 \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0456\u0432 CSV \u0443 Python \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u0433\u043e \u0444\u0430\u0439\u043b\u0443 CSV \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e \u00abdata.csv\u00bb : playerID,team,points 1,Lakers,26 2,Mavs,19 3,Bucks,24 4,Spurs,22 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u041d\u0430\u0439\u043a\u0440\u0430\u0449\u0438\u0439 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a: \u044f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 CSV \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e Pandas - Statorials<\/title>\n<meta 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