{"id":967,"date":"2023-07-28T03:42:21","date_gmt":"2023-07-28T03:42:21","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82-csv\/"},"modified":"2023-07-28T03:42:21","modified_gmt":"2023-07-28T03:42:21","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82-csv","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82-csv\/","title":{"rendered":"\u041f\u043e\u043b\u043d\u043e\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u043e: \u043a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b csv \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e pandas"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0424\u0430\u0439\u043b\u044b CSV (\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0435 \u0437\u0430\u043f\u044f\u0442\u044b\u043c\u0438) \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u043e\u0434\u043d\u0438\u043c \u0438\u0437 \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0445 \u0441\u043f\u043e\u0441\u043e\u0431\u043e\u0432 \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041a \u0441\u0447\u0430\u0441\u0442\u044c\u044e, \u0444\u0443\u043d\u043a\u0446\u0438\u044f pandas <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.read_csv.html\" target=\"_blank\" rel=\"noopener noreferrer\">read_csv()<\/a> \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u0430\u043c \u043b\u0435\u0433\u043a\u043e \u0447\u0438\u0442\u0430\u0442\u044c CSV-\u0444\u0430\u0439\u043b\u044b \u043d\u0430 Python \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u0432 \u043b\u044e\u0431\u043e\u043c \u0444\u043e\u0440\u043c\u0430\u0442\u0435.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0441\u043f\u043e\u0441\u043e\u0431\u043e\u0432 \u0447\u0442\u0435\u043d\u0438\u044f \u0444\u0430\u0439\u043b\u043e\u0432 CSV \u0432 Python \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0433\u043e \u0444\u0430\u0439\u043b\u0430 CSV \u0441 \u0438\u043c\u0435\u043d\u0435\u043c <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\u043c\u0435\u0440 1. \u0421\u0447\u0438\u0442\u0430\u0439\u0442\u0435 CSV-\u0444\u0430\u0439\u043b \u0432 DataFrame pandas.<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c CSV-\u0444\u0430\u0439\u043b \u0432 DataFrame pandas:<\/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\u043c\u0435\u0440 2. \u0427\u0442\u0435\u043d\u0438\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0445 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0438\u0437 \u0444\u0430\u0439\u043b\u0430 CSV.<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u044b \u0441 \u043f\u043e\u043c\u0435\u0442\u043a\u0430\u043c\u0438 \u00abplayerID\u00bb \u0438 \u00ab\u043e\u0447\u043a\u0438\u00bb \u0438\u0437 CSV-\u0444\u0430\u0439\u043b\u0430 \u0432 DataFrame pandas:<\/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\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u0442\u0435 \u0443\u043a\u0430\u0437\u0430\u0442\u044c \u0438\u043d\u0434\u0435\u043a\u0441\u044b \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f \u0432 DataFrame pandas:<\/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\u043c\u0435\u0440 3. \u0423\u043a\u0430\u0436\u0438\u0442\u0435 \u0441\u0442\u0440\u043e\u043a\u0443 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u043f\u0440\u0438 \u0438\u043c\u043f\u043e\u0440\u0442\u0435 \u0444\u0430\u0439\u043b\u0430 CSV.<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0412 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0441\u043b\u0443\u0447\u0430\u044f\u0445 \u0441\u0442\u0440\u043e\u043a\u0430 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u043c\u043e\u0436\u0435\u0442 \u043d\u0435 \u0431\u044b\u0442\u044c \u043f\u0435\u0440\u0432\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u043e\u0439 \u0432 \u0444\u0430\u0439\u043b\u0435 CSV.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u043c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0444\u0430\u0439\u043b CSV, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u0441\u0442\u0440\u043e\u043a\u0430 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442\u0441\u044f \u0432\u043e \u0432\u0442\u043e\u0440\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0435:<\/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;\">\u0427\u0442\u043e\u0431\u044b \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u044d\u0442\u043e\u0442 CSV-\u0444\u0430\u0439\u043b \u0432 DataFrame pandas, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0443\u043a\u0430\u0437\u0430\u0442\u044c <strong>header=1<\/strong> \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\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\u043c\u0435\u0440 4. \u041f\u0440\u043e\u043f\u0443\u0441\u043a \u0441\u0442\u0440\u043e\u043a \u043f\u0440\u0438 \u0438\u043c\u043f\u043e\u0440\u0442\u0435 \u0444\u0430\u0439\u043b\u0430 CSV.<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0412\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u0442\u0435 \u043b\u0435\u0433\u043a\u043e \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 \u043f\u0440\u0438 \u0438\u043c\u043f\u043e\u0440\u0442\u0435 \u0444\u0430\u0439\u043b\u0430 CSV, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 <strong>jumprows<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432\u0442\u043e\u0440\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443 \u043f\u0440\u0438 \u0438\u043c\u043f\u043e\u0440\u0442\u0435 \u0444\u0430\u0439\u043b\u0430 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;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432\u0442\u043e\u0440\u0443\u044e <em>\u0438<\/em> \u0442\u0440\u0435\u0442\u044c\u044e \u0441\u0442\u0440\u043e\u043a\u0438 \u043f\u0440\u0438 \u0438\u043c\u043f\u043e\u0440\u0442\u0435 \u0444\u0430\u0439\u043b\u0430 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\u043c\u0435\u0440 5. \u0427\u0442\u0435\u043d\u0438\u0435 \u0444\u0430\u0439\u043b\u043e\u0432 CSV \u0441 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u043c \u0440\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u0435\u043b\u0435\u043c<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0418\u043d\u043e\u0433\u0434\u0430 \u0443 \u0432\u0430\u0441 \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u0444\u0430\u0439\u043b CSV \u0441 \u0440\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u0435\u043b\u0435\u043c, \u043e\u0442\u043b\u0438\u0447\u043d\u044b\u043c \u043e\u0442 \u0437\u0430\u043f\u044f\u0442\u043e\u0439.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u043f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0447\u0442\u043e \u043d\u0430\u0448 CSV-\u0444\u0430\u0439\u043b \u0438\u043c\u0435\u0435\u0442 \u043f\u043e\u0434\u0447\u0435\u0440\u043a\u0438\u0432\u0430\u043d\u0438\u0435 \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0440\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u0435\u043b\u044f:<\/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;\">\u0427\u0442\u043e\u0431\u044b \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u044d\u0442\u043e\u0442 CSV-\u0444\u0430\u0439\u043b \u0432 pandas, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 <strong>sep<\/strong> , \u0447\u0442\u043e\u0431\u044b \u0443\u043a\u0430\u0437\u0430\u0442\u044c \u0440\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u0435\u043b\u044c, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0431\u0443\u0434\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u043f\u0440\u0438 \u0447\u0442\u0435\u043d\u0438\u0438 \u0444\u0430\u0439\u043b\u0430:<\/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\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/span><\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438 panda:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0447\u0438\u0442\u0430\u044e\u0442-\u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0438-\u0444\u0430\u0438\u043b\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0439 \u0444\u0430\u0439\u043b \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0447\u0438\u0442\u0430\u044e\u0442-excel\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b Excel \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0447\u0438\u0442\u0430\u044e\u0442-\u0442\u0441\u0432\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b TSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0447\u0438\u0442\u0430\u044e\u0442-html\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c HTML-\u0442\u0430\u0431\u043b\u0438\u0446\u044b \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0424\u0430\u0439\u043b\u044b CSV (\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0435 \u0437\u0430\u043f\u044f\u0442\u044b\u043c\u0438) \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u043e\u0434\u043d\u0438\u043c \u0438\u0437 \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0445 \u0441\u043f\u043e\u0441\u043e\u0431\u043e\u0432 \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u044b\u0445. \u041a \u0441\u0447\u0430\u0441\u0442\u044c\u044e, \u0444\u0443\u043d\u043a\u0446\u0438\u044f pandas read_csv() \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u0430\u043c \u043b\u0435\u0433\u043a\u043e \u0447\u0438\u0442\u0430\u0442\u044c CSV-\u0444\u0430\u0439\u043b\u044b \u043d\u0430 Python \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u0432 \u043b\u044e\u0431\u043e\u043c \u0444\u043e\u0440\u043c\u0430\u0442\u0435. \u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0441\u043f\u043e\u0441\u043e\u0431\u043e\u0432 \u0447\u0442\u0435\u043d\u0438\u044f \u0444\u0430\u0439\u043b\u043e\u0432 CSV \u0432 Python \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0433\u043e \u0444\u0430\u0439\u043b\u0430 CSV \u0441 \u0438\u043c\u0435\u043d\u0435\u043c \u00abdata.csv\u00bb : playerID,team,points 1,Lakers,26 2,Mavs,19 3,Bucks,24 4,Spurs,22 \u041f\u0440\u0438\u043c\u0435\u0440 [&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":[],"class_list":["post-967","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u041f\u043e\u043b\u043d\u043e\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u043e: \u043a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b CSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas<\/title>\n<meta name=\"description\" content=\"\u041f\u043e\u043b\u043d\u043e\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u043e \u043f\u043e \u0447\u0442\u0435\u043d\u0438\u044e \u0444\u0430\u0439\u043b\u043e\u0432 CSV \u0432 pandas, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432.\" \/>\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\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0447\u0438\u0442\u0430\u044e\u0442-csv\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u041f\u043e\u043b\u043d\u043e\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u043e: \u043a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b CSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas\" \/>\n<meta property=\"og:description\" content=\"\u041f\u043e\u043b\u043d\u043e\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u043e \u043f\u043e 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