{"id":3440,"date":"2023-07-17T11:26:07","date_gmt":"2023-07-17T11:26:07","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-timedelta%e1%84%85%e1%85%b3%e1%86%af-int%e1%84%85%e1%85%a9-%e1%84%87%e1%85%a7%e1%86%ab%e1%84%92%e1%85%aa%e1%86%ab%e1%84%92\/"},"modified":"2023-07-17T11:26:07","modified_gmt":"2023-07-17T11:26:07","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-timedelta%e1%84%85%e1%85%b3%e1%86%af-int%e1%84%85%e1%85%a9-%e1%84%87%e1%85%a7%e1%86%ab%e1%84%92%e1%85%aa%e1%86%ab%e1%84%92","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-timedelta%e1%84%85%e1%85%b3%e1%86%af-int%e1%84%85%e1%85%a9-%e1%84%87%e1%85%a7%e1%86%ab%e1%84%92%e1%85%aa%e1%86%ab%e1%84%92\/","title":{"rendered":"Pandas\uc5d0\uc11c timedelta\ub97c int\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec pandas DataFrame\uc5d0\uc11c timedelta \uc5f4\uc744 \uc815\uc218 \uc5f4\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: Timedelta\ub97c \uc815\uc218(\uc77c)\ub85c \ubcc0\ud658<\/span><\/strong><\/p>\n

 df[' days<\/span> '] = df[' timedelta_column<\/span> ']. dt<\/span> . days\n<\/span><\/strong><\/span><\/pre>\n
 \ubc29\ubc95 2: Timedelta\ub97c \uc815\uc218(\uc2dc\uac04)\ub85c \ubcc0\ud658<\/span><\/strong><\/p>\n
 df[' hours<\/span> '] = df[' timedelta_column<\/span> '] \/ pd. Timedelta<\/span> (hours= 1<\/span> )<\/strong><\/span><\/pre>\n
 \ubc29\ubc95 3: Timedelta\ub97c \uc815\uc218(\ubd84)\ub85c \ubcc0\ud658<\/span><\/strong><\/p>\n
 df[' minutes<\/span> '] = df[' timedelta_column<\/span> '] \/ pd. Timedelta<\/span> (minutes= 1<\/span> )<\/strong><\/span><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' promotion<\/span> ': ['A', 'B', 'C', 'D'],\n                   ' start<\/span> ': ['2021-10-04 13:29:00', '2021-10-07 12:30:00',\n                             '2021-10-15 04:20:00', '2021-10-18 15:45:03'],\n                   ' end<\/span> ': ['2021-10-08 11:29:06', '2021-10-15 10:30:07',\n                             '2021-10-29 05:50:15', '2021-10-22 15:40:03']})\n\n#convert start date and end date columns to datetime\n<\/span>df[' start<\/span> '] = pd. to_datetime<\/span> (df[' start<\/span> '])\ndf[' end<\/span> '] = pd. to_datetime<\/span> (df[' end<\/span> '])\n\n#create new column that contains time delta between start and end\n<\/span>df[' duration<\/span> '] = df[' end<\/span> '] - df[' start<\/span> ']\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  promotion start end duration\n0 A 2021-10-04 13:29:00 2021-10-08 11:29:06 3 days 22:00:06\n1 B 2021-10-07 12:30:00 2021-10-15 10:30:07 7 days 22:00:07\n2 C 2021-10-15 04:20:00 2021-10-29 05:50:15 14 days 01:30:15\n3 D 2021-10-18 15:45:03 2021-10-22 15:40:03 3 days 23:55:00\n<\/strong><\/span><\/pre>\n
 \uc608 1: Timedelta\ub97c \uc815\uc218(\uc77c)\ub85c \ubcc0\ud658<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uae30\uac04 \uc5f4\uc758<\/strong> \uc2dc\uac04\ub378\ud0c0\ub97c \uc2dc\uac04\ub378\ud0c0 \uc5f4\uc758 \uc77c\uc218\ub97c \ub098\ud0c0\ub0b4\ub294 \uc815\uc218 \uac12\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \uc77c<\/strong> \uc774\ub77c\ub294 \uc0c8 \uc5f4\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #create new column that converts timedelta into integer number of days\n<\/span>df[' days<\/span> '] = df[' duration<\/span> ']. dt<\/span> . days\n\n<\/span>#view updated DataFrame<\/span>\nprint<\/span> (df)\n\n  promotion start end duration days\n0 A 2021-10-04 13:29:00 2021-10-08 11:29:06 3 days 22:00:06 3\n1 B 2021-10-07 12:30:00 2021-10-15 10:30:07 7 days 22:00:07 7\n2 C 2021-10-15 04:20:00 2021-10-29 05:50:15 14 days 01:30:15 14\n3 D 2021-10-18 15:45:03 2021-10-22 15:40:03 3 days 23:55:00 3\n<\/span><\/span><\/strong><\/pre>\n
 dtype\uc744<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc774 \uc0c8 \uc5f4\uc758 \ub370\uc774\ud130 \uc720\ud615\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 #check data type\n<\/span>df. days<\/span> . dtype\n\ndtype('int64')<\/span><\/span>\n<\/span><\/span><\/strong><\/pre>\n
 \uc0c8 \uc5f4\uc740 \uc815\uc218\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: Timedelta\ub97c \uc815\uc218(\uc2dc\uac04)\ub85c \ubcc0\ud658<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uae30\uac04 \uc5f4\uc758<\/strong> \uc2dc\uac04 \ub378\ud0c0\ub97c \uc2dc\uac04 \ub378\ud0c0 \uc5f4\uc758 \ucd1d \uc2dc\uac04\uc744 \ub098\ud0c0\ub0b4\ub294 \uc22b\uc790 \uac12\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \uc2dc\uac04<\/b> \uc774\ub77c\ub294 \uc0c8 \uc5f4\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #create new column that converts timedelta into total number of hours\n<\/span>df[' hours<\/span> '] = df[' duration<\/span> '] \/ pd. Timedelta<\/span> (hours= 1<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n  promotion start end duration hours\n0 A 2021-10-04 13:29:00 2021-10-08 11:29:06 3 days 22:00:06 94.001667  \n1 B 2021-10-07 12:30:00 2021-10-15 10:30:07 7 days 22:00:07 190.001944\n2 C 2021-10-15 04:20:00 2021-10-29 05:50:15 14 days 01:30:15 337.504167\n3 D 2021-10-18 15:45:03 2021-10-22 15:40:03 3 days 23:55:00 95.916667\n<\/span><\/span><\/strong><\/pre>\n
 dtype\uc744<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc774 \uc0c8 \uc5f4\uc758 \ub370\uc774\ud130 \uc720\ud615\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #check data type\n<\/span>df. hours<\/span> . dtype\n\ndtype('float64')<\/span><\/span>\n<\/span><\/span><\/strong><\/pre>\n
 \uc0c8 \uc5f4\uc740 \ubd80\ub3d9 \uc18c\uc218\uc810\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 3: Timedelta\ub97c \uc815\uc218(\ubd84)\ub85c \ubcc0\ud658<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uae30\uac04 \uc5f4\uc758<\/strong> \uc2dc\uac04 \ub378\ud0c0\ub97c \uc2dc\uac04 \ub378\ud0c0 \uc5f4\uc758 \ucd1d \ubd84 \uc218\ub97c \ub098\ud0c0\ub0b4\ub294 \uc22b\uc790 \uac12\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubd84\uc774\ub77c\ub294 \uc0c8 \uc5f4\uc744<\/b> \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #create new column that converts timedelta into total number of minutes\n<\/span>df[' minutes<\/span> '] = df[' duration<\/span> '] \/ pd. Timedelta<\/span> (minutes= 1<\/span> )\n\n#view updated DataFrame\nprint<\/span> (df)\n\n  promotion start end duration minutes\n0 A 2021-10-04 13:29:00 2021-10-08 11:29:06 3 days 22:00:06 5640.100000  \n1 B 2021-10-07 12:30:00 2021-10-15 10:30:07 7 days 22:00:07 11400.116667\n2 C 2021-10-15 04:20:00 2021-10-29 05:50:15 14 days 01:30:15 20250.250000\n3 D 2021-10-18 15:45:03 2021-10-22 15:40:03 3 days 23:55:00 5755.000000\n<\/span><\/span><\/strong><\/pre>\n
 dtype\uc744<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc774 \uc0c8 \uc5f4\uc758 \ub370\uc774\ud130 \uc720\ud615\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #check datatype\n<\/span>df. minutes<\/span> . dtype\n\ndtype('float64')<\/span><\/span>\n<\/span><\/span><\/strong><\/pre>\n
 \uc0c8 \uc5f4\uc740 \ubd80\ub3d9 \uc18c\uc218\uc810\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Pandas\uc5d0\uc11c \uc5f4\uc744 DateTime\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95
 Pandas\uc5d0\uc11c DateTime\uc744 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \ub0a0\uc9dc\ub85c\ubd80\ud130 \uc6d4\uc744 \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec pandas DataFrame\uc5d0\uc11c timedelta \uc5f4\uc744 \uc815\uc218 \uc5f4\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: Timedelta\ub97c \uc815\uc218(\uc77c)\ub85c \ubcc0\ud658 df[‘ days ‘] = df[‘ timedelta_column ‘]. dt . days \ubc29\ubc95 2: Timedelta\ub97c \uc815\uc218(\uc2dc\uac04)\ub85c \ubcc0\ud658 df[‘ hours ‘] = df[‘ timedelta_column ‘] \/ pd. Timedelta (hours= 1 ) \ubc29\ubc95 3: Timedelta\ub97c \uc815\uc218(\ubd84)\ub85c \ubcc0\ud658 df[‘ minutes ‘] = df[‘ […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-3440","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas\uc5d0\uc11c Timedelta\ub97c Int\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec pandas\uc5d0\uc11c timedelta\ub97c int\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\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\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-timedelta\u1105\u1173\u11af-int\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\u1112\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas\uc5d0\uc11c Timedelta\ub97c Int\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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