{"id":2422,"date":"2023-07-22T08:13:24","date_gmt":"2023-07-22T08:13:24","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-%d1%82%d1%81%d0%b2\/"},"modified":"2023-07-22T08:13:24","modified_gmt":"2023-07-22T08:13:24","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82-%d1%82%d1%81%d0%b2","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-%d1%82%d1%81%d0%b2\/","title":{"rendered":"\u041a\u0430\u043a \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b tsv \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e pandas (\u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u0440\u0438\u043c\u0435\u0440\u044b)"},"content":{"rendered":"

<\/p>\n

\n

\u0427\u0442\u043e\u0431\u044b \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b TSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e pandas \u0432 Python, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n

 df = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\" \\t<\/span> \")\n<\/strong><\/pre>\n
 \u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043e \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u044d\u0442\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0438.<\/span><\/p>\n
 \u0427\u0442\u0435\u043d\u0438\u0435 \u0444\u0430\u0439\u043b\u0430 TSV \u0441 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u043e\u043c<\/strong><\/span><\/h3>\n
 \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0444\u0430\u0439\u043b TSV \u0441 \u0438\u043c\u0435\u043d\u0435\u043c data.txt<\/strong> \u0438 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u043e\u043c:<\/span> <\/p>\n
\"\"<\/p>\n
 \u0427\u0442\u043e\u0431\u044b \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0444\u0430\u0439\u043b \u0432 DataFrame pandas, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#read TSV file into pandas DataFrame<\/span>\ndf = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\" \\t<\/span> \")\n\n#view DataFrame<\/span>\nprint<\/span> (df)\n\n\tcolumn1 column2\n0 1 4\n1 3 4\n2 2 5\n3 7 9\n4 9 1\n5 6 3\n6 5 7\n7 8 8\n8 3 1\n9 4 9\n<\/strong><\/pre>\n
 \u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0440\u0430\u0441\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c \u043a\u043b\u0430\u0441\u0441 DataFrame \u0438 \u043d\u0430\u0439\u0442\u0438 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0441\u0442\u0440\u043e\u043a \u0438 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n
 #display class of DataFrame\n<\/span>print<\/span> (type(df))\n\n<class 'pandas.core.frame.DataFrame'>\n\n#display number of rows and columns in DataFrame\ndf. shape<\/span><\/span>\n\n(10, 2)\n<\/span><\/span><\/strong><\/pre>\n
 \u041c\u044b \u0432\u0438\u0434\u0438\u043c, \u0447\u0442\u043e df<\/strong> \u2014 \u044d\u0442\u043e DataFrame pandas \u0441 10 \u0441\u0442\u0440\u043e\u043a\u0430\u043c\u0438 \u0438 2 \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438.<\/span><\/p>\n
 \u0427\u0442\u0435\u043d\u0438\u0435 \u0444\u0430\u0439\u043b\u0430 TSV \u0431\u0435\u0437 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430<\/strong><\/span><\/h3>\n
 \u0414\u043e\u043f\u0443\u0441\u0442\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0444\u0430\u0439\u043b TSV \u0441 \u0438\u043c\u0435\u043d\u0435\u043c data.txt<\/strong> \u0431\u0435\u0437 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430:<\/span> <\/p>\n
\"\"<\/p>\n
 \u0427\u0442\u043e\u0431\u044b \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0444\u0430\u0439\u043b \u0432 DataFrame pandas, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n
 #read TSV file into pandas DataFrame<\/span>\ndf = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\" \\t<\/span> \", header= None<\/span> )\n\n#view DataFrame<\/span>\nprint<\/span> (df)\n\n        0 1\n0 1 4\n1 3 4\n2 2 5\n3 7 9\n4 9 1\n5 6 3\n6 5 7\n7 8 8\n8 3 1\n9 4 9\n<\/strong><\/pre>\n
 \u041f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 \u0443 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u043e\u0433\u043e \u0444\u0430\u0439\u043b\u0430 \u043d\u0435 \u0431\u044b\u043b\u043e \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430, pandas \u043f\u0440\u043e\u0441\u0442\u043e \u043d\u0430\u0437\u0432\u0430\u043b \u0441\u0442\u043e\u043b\u0431\u0446\u044b 0<\/strong> \u0438 1<\/strong> .<\/span><\/p>\n
 \u041f\u0440\u043e\u0447\u0438\u0442\u0430\u0439\u0442\u0435 \u0444\u0430\u0439\u043b TSV \u0431\u0435\u0437 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u0438 \u0443\u043a\u0430\u0436\u0438\u0442\u0435 \u0438\u043c\u0435\u043d\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432.<\/strong><\/span><\/h3>\n
 \u0415\u0441\u043b\u0438 \u043c\u044b \u0445\u043e\u0442\u0438\u043c, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u043d\u0430\u0437\u043d\u0430\u0447\u0438\u0442\u044c \u0438\u043c\u0435\u043d\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u043f\u0440\u0438 \u0438\u043c\u043f\u043e\u0440\u0442\u0435 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u043e\u0433\u043e \u0444\u0430\u0439\u043b\u0430, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 \u0438\u043c\u0435\u043d<\/strong> :<\/span><\/p>\n
 #read TSV file into pandas DataFrame and specify column names<\/span>\ndf = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\" \\t<\/span> \", header= None, names=[\"<\/span> A \", \"<\/span> B \"]<\/span><\/span> )\n\n#display DataFrame\n<\/span>print<\/span> (df)\n\n\tA B\n0 1 4\n1 3 4\n2 2 5\n3 7 9\n4 9 1\n5 6 3\n6 5 7\n7 8 8\n8 3 1\n9 4 9\n<\/strong><\/pre>\n
 \u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h3>\n
 \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 \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b \u0434\u0440\u0443\u0433\u0438\u0445 \u0442\u0438\u043f\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e pandas:<\/span><\/p>\n
 \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>
 \u041a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b CSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas<\/a>
 \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>
 \u041a\u0430\u043a \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b JSON \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0427\u0442\u043e\u0431\u044b \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b TSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e pandas \u0432 Python, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441: df = pd. read_csv (» data.txt «, sep=» \\t «) \u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043e \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u044d\u0442\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0438. \u0427\u0442\u0435\u043d\u0438\u0435 \u0444\u0430\u0439\u043b\u0430 TSV \u0441 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u043e\u043c \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0444\u0430\u0439\u043b TSV \u0441 \u0438\u043c\u0435\u043d\u0435\u043c data.txt \u0438 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u043e\u043c: \u0427\u0442\u043e\u0431\u044b \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u044d\u0442\u043e\u0442 […]<\/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-2422","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u041a\u0430\u043a \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b TSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas (\u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u0440\u0438\u043c\u0435\u0440\u044b) \u2013 \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b<\/title>\n<meta name=\"description\" content=\"\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, \u043a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b TSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e pandas \u043d\u0430 Python, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.\" \/>\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-\u0442\u0441\u0432\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u041a\u0430\u043a \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b TSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas (\u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u0440\u0438\u043c\u0435\u0440\u044b) \u2013 \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b\" \/>\n<meta property=\"og:description\" content=\"\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, \u043a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b TSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e pandas \u043d\u0430 Python, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0447\u0438\u0442\u0430\u044e\u0442-\u0442\u0441\u0432\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T08:13:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/onglet1.png\" \/>\n<meta name=\"author\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d 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