{"id":3403,"date":"2021-07-23T12:28:37","date_gmt":"2021-07-23T12:28:37","guid":{"rendered":"https:\/\/www.bearloga.space\/?page_id=3403"},"modified":"2021-07-23T12:28:37","modified_gmt":"2021-07-23T12:28:37","slug":"python-pandas-timedelta","status":"publish","type":"page","link":"https:\/\/www.bearloga.space\/en\/python-pandas-timedelta\/","title":{"rendered":"Python Pandas \u2014 Timedelta"},"content":{"rendered":"\n<pre class=\"wp-block-code\"><code>\r\nTimedeltas \u2014 \u044d\u0442\u043e \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u0432\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438, \u0432\u044b\u0440\u0430\u0436\u0435\u043d\u043d\u0430\u044f \u0432 \u0435\u0434\u0438\u043d\u0438\u0446\u0430\u0445 \u0440\u0430\u0437\u043d\u0438\u0446\u044b, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0434\u043d\u0438, \u0447\u0430\u0441\u044b, \u043c\u0438\u043d\u0443\u0442\u044b, \u0441\u0435\u043a\u0443\u043d\u0434\u044b. \u041e\u043d\u0438 \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u043a\u0430\u043a \u043f\u043e\u043b\u043e\u0436\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c\u0438, \u0442\u0430\u043a \u0438 \u043e\u0442\u0440\u0438\u0446\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u043c\u0438.\r\n\r\n\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0441\u043e\u0437\u0434\u0430\u0432\u0430\u0442\u044c \u043e\u0431\u044a\u0435\u043a\u0442\u044b Timedelta, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u044b, \u043a\u0430\u043a \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e \u043d\u0438\u0436\u0435 \u2014\r\n\r\n\u0441\u0442\u0440\u043e\u043a\u0430\r\n\u041f\u0435\u0440\u0435\u0434\u0430\u0432 \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u044b\u0439 \u043b\u0438\u0442\u0435\u0440\u0430\u043b, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043e\u0431\u044a\u0435\u043a\u0442 timedelta.\r\n\r\n Live Demo\r\n\r\nimport pandas as pd\r\n\r\nprint pd.Timedelta('2 days 2 hours 15 minutes 30 seconds')\r\n\u0415\u0433\u043e \u0432\u044b\u0432\u043e\u0434 \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\r\n\r\n2 days 02:15:30\r\n\u0446\u0435\u043b\u043e\u0435 \u0447\u0438\u0441\u043b\u043e\r\n\u041f\u0435\u0440\u0435\u0434\u0430\u0432\u0430\u044f \u0446\u0435\u043b\u043e\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u043e\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0432\u043c\u0435\u0441\u0442\u0435 \u0441 \u0435\u0434\u0438\u043d\u0438\u0446\u0435\u0439, \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 \u0441\u043e\u0437\u0434\u0430\u0435\u0442 \u043e\u0431\u044a\u0435\u043a\u0442 Timedelta.\r\n\r\n\r\n\r\nimport pandas as pd\r\n\r\nprint pd.Timedelta(6,unit='h')\r\n\u0415\u0433\u043e \u0432\u044b\u0432\u043e\u0434 \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\r\n\r\n0 days 06:00:00\r\n\u0421\u043c\u0435\u0449\u0435\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u044b\u0445\r\n\u0421\u043c\u0435\u0449\u0435\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u044b\u0445, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a \u2014 \u043d\u0435\u0434\u0435\u043b\u0438, \u0434\u043d\u0438, \u0447\u0430\u0441\u044b, \u043c\u0438\u043d\u0443\u0442\u044b, \u0441\u0435\u043a\u0443\u043d\u0434\u044b, \u043c\u0438\u043b\u043b\u0438\u0441\u0435\u043a\u0443\u043d\u0434\u044b, \u043c\u0438\u043a\u0440\u043e\u0441\u0435\u043a\u0443\u043d\u0434\u044b, \u043d\u0430\u043d\u043e\u0441\u0435\u043a\u0443\u043d\u0434\u044b, \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u044b \u0432 \u0441\u0442\u0440\u043e\u0438\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u0435.\r\n\n\nimport pandas as pd\r\n\r\nprint pd.Timedelta(days=2)\r\n\u0415\u0433\u043e \u0432\u044b\u0432\u043e\u0434 \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\r\n\r\n2 days 00:00:00\r\nto_timedelta ()\r\n\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f pd.to_timedelta \u0432\u0435\u0440\u0445\u043d\u0435\u0433\u043e \u0443\u0440\u043e\u0432\u043d\u044f, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043a\u0430\u043b\u044f\u0440, \u043c\u0430\u0441\u0441\u0438\u0432, \u0441\u043f\u0438\u0441\u043e\u043a \u0438\u043b\u0438 \u0441\u0435\u0440\u0438\u044e \u0438\u0437 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u043d\u043d\u043e\u0433\u043e \u0444\u043e\u0440\u043c\u0430\u0442\u0430 \/ \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f timedelta \u0432 \u0442\u0438\u043f Timedelta. \u041e\u043d \u0431\u0443\u0434\u0435\u0442 \u0441\u043e\u0437\u0434\u0430\u0432\u0430\u0442\u044c Series, \u0435\u0441\u043b\u0438 \u0432\u0445\u043e\u0434 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f Series, \u0441\u043a\u0430\u043b\u044f\u0440, \u0435\u0441\u043b\u0438 \u0432\u0445\u043e\u0434 \u043f\u043e\u0434\u043e\u0431\u0435\u043d \u0441\u043a\u0430\u043b\u044f\u0440\u0443, \u0432 \u043f\u0440\u043e\u0442\u0438\u0432\u043d\u043e\u043c \u0441\u043b\u0443\u0447\u0430\u0435 \u0431\u0443\u0434\u0435\u0442 \u0432\u044b\u0432\u043e\u0434\u0438\u0442\u044c\u0441\u044f TimedeltaIndex .\r\n\r\r\n\r\nimport pandas as pd\r\n\r\nprint pd.Timedelta(days=2)\r\n\u0415\u0433\u043e \u0432\u044b\u0432\u043e\u0434 \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\r\n\r\n2 days 00:00:00\r\n\u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438\r\n\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0441 Series \/ DataFrames \u0438 \u0441\u0442\u0440\u043e\u0438\u0442\u044c timedelta64 &#91;ns] Series \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439 \u0432\u044b\u0447\u0438\u0442\u0430\u043d\u0438\u044f \u043d\u0430 datetime64 &#91;ns] Series \u0438\u043b\u0438 Timestamps.\r\n\r\n\u0414\u0430\u0432\u0430\u0439\u0442\u0435 \u0442\u0435\u043f\u0435\u0440\u044c \u0441\u043e\u0437\u0434\u0430\u0434\u0438\u043c DataFrame \u0441 \u043e\u0431\u044a\u0435\u043a\u0442\u0430\u043c\u0438 Timedelta \u0438 datetime \u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u043c \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0430\u0440\u0438\u0444\u043c\u0435\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u043d\u0430\u0434 \u043d\u0438\u043c \u2014\r\n\r\n \r\n\r\nimport pandas as pd\r\n\r\ns = pd.Series(pd.date_range('2012-1-1', periods=3, freq='D'))\r\ntd = pd.Series(&#91; pd.Timedelta(days=i) for i in range(3) ])\r\ndf = pd.DataFrame(dict(A = s, B = td))\r\n\r\nprint df\r\n\u0415\u0433\u043e \u0432\u044b\u0432\u043e\u0434 \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\r\n\r\n            A      B\r\n0  2012-01-01 0 days\r\n1  2012-01-02 1 days\r\n2  2012-01-03 2 days\r\n\u041e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u0438\u044f\r\n \r\n\r\nimport pandas as pd\r\n\r\ns = pd.Series(pd.date_range('2012-1-1', periods=3, freq='D'))\r\ntd = pd.Series(&#91; pd.Timedelta(days=i) for i in range(3) ])\r\ndf = pd.DataFrame(dict(A = s, B = td))\r\ndf&#91;'C']=df&#91;'A']+df&#91;'B']\r\n\r\nprint df\r\n\u0415\u0433\u043e \u0432\u044b\u0432\u043e\u0434 \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\r\n\r\n           A      B          C\r\n0 2012-01-01 0 days 2012-01-01\r\n1 2012-01-02 1 days 2012-01-03\r\n2 2012-01-03 2 days 2012-01-05\r\n\u041e\u043f\u0435\u0440\u0430\u0446\u0438\u044f \u0432\u044b\u0447\u0438\u0442\u0430\u043d\u0438\u044f\r\nimport pandas as pd\r\n\r\ns = pd.Series(pd.date_range('2012-1-1', periods=3, freq='D'))\r\ntd = pd.Series(&#91; pd.Timedelta(days=i) for i in range(3) ])\r\ndf = pd.DataFrame(dict(A = s, B = td))\r\ndf&#91;'C']=df&#91;'A']+df&#91;'B']\r\ndf&#91;'D']=df&#91;'C']+df&#91;'B']\r\n\r\nprint df<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"","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-3403","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\/3403","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=3403"}],"version-history":[{"count":0,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/pages\/3403\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/media?parent=3403"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/categories?post=3403"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/tags?post=3403"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}