{"id":3407,"date":"2021-07-23T12:30:36","date_gmt":"2021-07-23T12:30:36","guid":{"rendered":"https:\/\/www.bearloga.space\/?page_id=3407"},"modified":"2021-07-23T12:30:36","modified_gmt":"2021-07-23T12:30:36","slug":"python-pandas-io-tools","status":"publish","type":"page","link":"https:\/\/www.bearloga.space\/en\/python-pandas-io-tools\/","title":{"rendered":"Python Pandas \u2014 IO Tools"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Pandas I \/ O API<\/strong>&nbsp;\u2014 \u044d\u0442\u043e \u043d\u0430\u0431\u043e\u0440 \u0444\u0443\u043d\u043a\u0446\u0438\u0439 \u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0442\u0435\u043b\u044f \u0432\u0435\u0440\u0445\u043d\u0435\u0433\u043e \u0443\u0440\u043e\u0432\u043d\u044f, \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b\u0439 \u043a\u0430\u043a&nbsp;<strong>pd.read_csv (),<\/strong>&nbsp;\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043e\u0431\u044b\u0447\u043d\u043e \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u044e\u0442 \u043e\u0431\u044a\u0435\u043a\u0442 Pandas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0414\u0432\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0440\u0430\u0431\u043e\u0447\u0435\u0439 \u043b\u043e\u0448\u0430\u0434\u043a\u0438 \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0445 \u0444\u0430\u0439\u043b\u043e\u0432 (\u0438\u043b\u0438 \u043f\u043b\u043e\u0441\u043a\u0438\u0445 \u0444\u0430\u0439\u043b\u043e\u0432) \u2014&nbsp;<strong>read_csv ()<\/strong>&nbsp;\u0438&nbsp;<strong>read_table ()<\/strong>&nbsp;.&nbsp;\u041e\u043d\u0438 \u043e\u0431\u0430 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 \u043e\u0434\u0438\u043d \u0438 \u0442\u043e\u0442 \u0436\u0435 \u043a\u043e\u0434 \u0434\u043b\u044f \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0442\u0430\u0431\u043b\u0438\u0447\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 \u043e\u0431\u044a\u0435\u043a\u0442&nbsp;<strong>DataFrame<\/strong>&nbsp;\u2014<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pandas.read_csv(filepath_or_buffer, sep=',', delimiter=None, header='infer',\nnames=None, index_col=None, usecols=None\n<\/pre>\n\n\n\n<pre class=\"wp-block-preformatted\">pandas.read_csv(filepath_or_buffer, sep='\\t', delimiter=None, header='infer',\nnames=None, index_col=None, usecols=None\n<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u0412\u043e\u0442 \u043a\u0430\u043a \u0432\u044b\u0433\u043b\u044f\u0434\u044f\u0442 \u0434\u0430\u043d\u043d\u044b\u0435 \u0444\u0430\u0439\u043b\u0430&nbsp;<strong>CSV:<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">S.No,Name,Age,City,Salary\n1,Tom,28,Toronto,20000\n2,Lee,32,HongKong,3000\n3,Steven,43,Bay Area,8300\n4,Ram,38,Hyderabad,3900\n<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u0421\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u0435 \u044d\u0442\u0438 \u0434\u0430\u043d\u043d\u044b\u0435 \u043a\u0430\u043a&nbsp;<strong>temp.csv<\/strong>&nbsp;\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0441 \u043d\u0438\u043c\u0438.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">S.No,Name,Age,City,Salary\n1,Tom,28,Toronto,20000\n2,Lee,32,HongKong,3000\n3,Steven,43,Bay Area,8300\n4,Ram,38,Hyderabad,3900\n<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u0421\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u0435 \u044d\u0442\u0438 \u0434\u0430\u043d\u043d\u044b\u0435 \u043a\u0430\u043a&nbsp;<strong>temp.csv<\/strong>&nbsp;\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0441 \u043d\u0438\u043c\u0438.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">read.csv<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>read.csv<\/strong>&nbsp;\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442 \u0434\u0430\u043d\u043d\u044b\u0435 \u0438\u0437 \u0444\u0430\u0439\u043b\u043e\u0432 csv \u0438 \u0441\u043e\u0437\u0434\u0430\u0435\u0442 \u043e\u0431\u044a\u0435\u043a\u0442 DataFrame.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import pandas as pd\n\ndf=pd.read_csv(\"temp.csv\")\nprint df<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u0415\u0433\u043e&nbsp;<strong>\u0432\u044b\u0432\u043e\u0434<\/strong>&nbsp;\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u2014<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">   S.No     Name   Age       City   Salary\n0     1      Tom    28    Toronto    20000\n1     2      Lee    32   HongKong     3000\n2     3   Steven    43   Bay Area     8300\n3     4      Ram    38  Hyderabad     3900\n<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0439 \u0438\u043d\u0434\u0435\u043a\u0441<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u042d\u0442\u043e \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0432 \u0444\u0430\u0439\u043b\u0435 CSV \u0434\u043b\u044f \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438 \u0438\u043d\u0434\u0435\u043a\u0441\u0430 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e&nbsp;<strong>index_col.<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import pandas as pd\n\ndf=pd.read_csv(\"temp.csv\",index_col=['S.No'])\nprint df<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u0415\u0433\u043e\u00a0<strong>\u0432\u044b\u0432\u043e\u0434<\/strong>\u00a0\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u2014<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">S.No   Name   Age       City   Salary\n1       Tom    28    Toronto    20000\n2       Lee    32   HongKong     3000\n3    Steven    43   Bay Area     8300\n4       Ram    38  Hyderabad     3900\n<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u041f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0438<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>D-\u0442\u0438\u043f<\/strong>&nbsp;\u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u043f\u0435\u0440\u0435\u0434\u0430\u043d \u043a\u0430\u043a dict.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import pandas as pd\n\ndf = pd.read_csv(\"temp.csv\", dtype={'Salary': np.float64})\nprint df.dtypes<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u0415\u0433\u043e&nbsp;<strong>\u0432\u044b\u0432\u043e\u0434<\/strong>&nbsp;\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u2014<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">S.No       int64\nName      object\nAge        int64\nCity      object\nSalary   float64\ndtype: object\n<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u041f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e&nbsp;<strong>d-\u0442\u0438\u043f<\/strong>&nbsp;\u0441\u0442\u043e\u043b\u0431\u0446\u0430 Salary \u2014&nbsp;<strong>int<\/strong>&nbsp;, \u043d\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0435\u0433\u043e \u043a\u0430\u043a&nbsp;<strong>float,<\/strong>&nbsp;\u043f\u043e\u0442\u043e\u043c\u0443 \u0447\u0442\u043e \u043c\u044b \u044f\u0432\u043d\u043e \u043f\u0440\u0438\u0432\u043e\u0434\u0438\u043b\u0438 \u0442\u0438\u043f.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0422\u0430\u043a\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c, \u0434\u0430\u043d\u043d\u044b\u0435 \u0432\u044b\u0433\u043b\u044f\u0434\u044f\u0442 \u043a\u0430\u043a float \u2014<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">  S.No   Name   Age      City    Salary\n0   1     Tom   28    Toronto   20000.0\n1   2     Lee   32   HongKong    3000.0\n2   3  Steven   43   Bay Area    8300.0\n3   4     Ram   38  Hyderabad    3900.0\n<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">header_names<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u0423\u043a\u0430\u0436\u0438\u0442\u0435 \u0438\u043c\u0435\u043d\u0430 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u043e\u0432, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 names.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import pandas as pd\n \ndf=pd.read_csv(\"temp.csv\", names=['a', 'b', 'c','d','e'])\nprint df<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u0415\u0433\u043e&nbsp;<strong>\u0432\u044b\u0432\u043e\u0434<\/strong>&nbsp;\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u2014<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">       a        b    c           d        e\n0   S.No     Name   Age       City   Salary\n1      1      Tom   28     Toronto    20000\n2      2      Lee   32    HongKong     3000\n3      3   Steven   43    Bay Area     8300\n4      4      Ram   38   Hyderabad     3900\n<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043a \u0438\u043c\u0435\u043d\u0430\u043c \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u043e\u0432 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0435 \u0438\u043c\u0435\u043d\u0430, \u043d\u043e \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a \u0432 \u0444\u0430\u0439\u043b\u0435 \u043d\u0435 \u0431\u044b\u043b \u0443\u0434\u0430\u043b\u0435\u043d.&nbsp;\u0422\u0435\u043f\u0435\u0440\u044c \u043c\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430, \u0447\u0442\u043e\u0431\u044b \u0443\u0434\u0430\u043b\u0438\u0442\u044c \u044d\u0442\u043e.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0415\u0441\u043b\u0438 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0432 \u0441\u0442\u0440\u043e\u043a\u0435, \u043e\u0442\u043b\u0438\u0447\u043d\u043e\u0439 \u043e\u0442 \u043f\u0435\u0440\u0432\u043e\u0439, \u043f\u0435\u0440\u0435\u0434\u0430\u0439\u0442\u0435 \u043d\u043e\u043c\u0435\u0440 \u0441\u0442\u0440\u043e\u043a\u0438 \u0432 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a.&nbsp;\u042d\u0442\u043e \u043f\u0440\u043e\u043f\u0443\u0441\u0442\u0438\u0442 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0435 \u0441\u0442\u0440\u043e\u043a\u0438.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import pandas as pd \n\ndf=pd.read_csv(\"temp.csv\",names=['a','b','c','d','e'],header=0)\nprint df<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u0415\u0433\u043e&nbsp;<strong>\u0432\u044b\u0432\u043e\u0434<\/strong>&nbsp;\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u2014<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">      a        b    c           d        e\n0  S.No     Name   Age       City   Salary\n1     1      Tom   28     Toronto    20000\n2     2      Lee   32    HongKong     3000\n3     3   Steven   43    Bay Area     8300\n4     4      Ram   38   Hyderabad     3900\n<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">SkipRows<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">skiprows \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430\u0435\u0442 \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0441\u0442\u0440\u043e\u043a.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import pandas as pd\n\ndf=pd.read_csv(\"temp.csv\", skiprows=2)\nprint df<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Pandas I \/ O API&nbsp;\u2014 \u044d\u0442\u043e \u043d\u0430\u0431\u043e\u0440 \u0444\u0443\u043d\u043a\u0446\u0438\u0439 \u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0442\u0435\u043b\u044f \u0432\u0435\u0440\u0445\u043d\u0435\u0433\u043e \u0443\u0440\u043e\u0432\u043d\u044f, \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b\u0439 \u043a\u0430\u043a&nbsp;pd.read_csv (),&nbsp;\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043e\u0431\u044b\u0447\u043d\u043e \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u044e\u0442 \u043e\u0431\u044a\u0435\u043a\u0442 Pandas. \u0414\u0432\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[109],"tags":[],"class_list":["post-3407","page","type-page","status-publish","hentry","category-python-pandas"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/pages\/3407","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/comments?post=3407"}],"version-history":[{"count":0,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/pages\/3407\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/media?parent=3407"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/categories?post=3407"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/tags?post=3407"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}