{"id":3766,"date":"2023-07-15T16:13:39","date_gmt":"2023-07-15T16:13:39","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%80%e1%85%b3%e1%86%ab%e1%84%86%e1%85%ae%e1%84%8b%e1%85%b5%e1%86%af\/"},"modified":"2023-07-15T16:13:39","modified_gmt":"2023-07-15T16:13:39","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%80%e1%85%b3%e1%86%ab%e1%84%86%e1%85%ae%e1%84%8b%e1%85%b5%e1%86%af","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%8b%e1%85%b4-%e1%84%80%e1%85%b3%e1%86%ab%e1%84%86%e1%85%ae%e1%84%8b%e1%85%b5%e1%86%af\/","title":{"rendered":"Pandas: \uc2dc\uc791\uc77c\uacfc \uc885\ub8cc\uc77c \uc0ac\uc774\uc758 \uc601\uc5c5\uc77c \uad6c\ud558\uae30"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas\uc5d0\uc11c \uadfc\ubb34\uc77c\uc744 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: \uc601\uc5c5\uc77c \uac00\uc838\uc624\uae30(\uc8fc\ub9d0 \uc81c\uc678)<\/strong><\/span><\/p>\n

 business_days = pd. bdate_range<\/span> (' 2022-01-01<\/span> ', ' 2022-12-31<\/span> ')\n<\/span><\/span><\/strong><\/pre>\n
 \ubc29\ubc95 2: \uc601\uc5c5\uc77c \ud655\uc778(\ubaa8\ub4e0 \uc8fc\ub9d0 \ubc0f<\/em> \uc5f0\ubc29 \uacf5\ud734\uc77c \uc81c\uc678)<\/strong><\/span><\/p>\n
 from<\/span> pandas. tseries<\/span> . holiday<\/span> import<\/span> USFederalHolidayCalendar\nfrom<\/span> pandas. tseries<\/span> . offsets<\/span> import<\/span> CustomBusinessDay\n\n#define US business days\n<\/span>us_bus = CustomBusinessDay(calendar=USFederalHolidayCalendar())\n\n#get all business days between certain start and end dates\n<\/span>us_business_days = pd. bdate_range<\/span> (' 2022-01-01<\/span> ', ' 2022-12-31<\/span> ', freq=us_bus)\n<\/span><\/span><\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uac01 \ubc29\ubc95\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\uc2dc 1: \uc601\uc5c5\uc77c \uac00\uc838\uc624\uae30(\ubaa8\ub4e0 \uc8fc\ub9d0 \uc81c\uc678)<\/strong><\/span><\/h2>\n
 \ud32c\ub354\uc5d0\uc11c \ub450 \ub0a0\uc9dc \uc0ac\uc774\uc758 \uc601\uc5c5\uc77c \ubaa9\ub85d\uc744 \uc5bb\ub294 \ud55c \uac00\uc9c0 \ubc29\ubc95\uc740 bdate_range()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \ud568\uc218\ub294 \uc8fc\ub9d0\uc744 \uc81c\uc678\ud558\uace0 \uc2dc\uc791\uc77c\uacfc \uc885\ub8cc\uc77c \uc0ac\uc774\uc758 \uc77c\uc218\ub9cc \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec 2022\ub144 1\uc6d4 1\uc77c\ubd80\ud130 2022\ub144 12\uc6d4 31\uc77c \uc0ac\uc774\uc758 \uc601\uc5c5\uc77c \uc218\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#get all business days between certain start and end dates\n<\/span>business_days = pd. bdate_range<\/span> (' 2022-01-01<\/span> ', ' 2022-12-31<\/span> ')\n\n#view first ten business days\n<\/span>print<\/span> (business_days[0:10])\n\nDatetimeIndex(['2022-01-03', '2022-01-04', '2022-01-05', '2022-01-06',\n               '2022-01-07', '2022-01-10', '2022-01-11', '2022-01-12',\n               '2022-01-13', '2022-01-14'],\n              dtype='datetime64[ns]', freq='B')\n\n#view total number of business days\n<\/span>len<\/span> (business_days)\n\n260<\/strong><\/span><\/pre>\n
 business_days<\/strong> \ub77c\ub294 \uac1c\uccb4\uc5d0\ub294 \uc9c0\uc815\ub41c \uc2dc\uc791 \ub0a0\uc9dc\uc640 \uc885\ub8cc \ub0a0\uc9dc \uc0ac\uc774\uc758 \uac01 \uc601\uc5c5\uc77c\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uadf8\ub9ac\uace0 len()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc9c0\uc815\ub41c \uc2dc\uc791 \ub0a0\uc9dc\uc640 \uc885\ub8cc \ub0a0\uc9dc \uc0ac\uc774\uc758 \ucd1d \uadfc\ubb34\uc77c \uc218\uac00 260<\/strong> \uc774\ub77c\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\uc2dc 2: \uc601\uc5c5\uc77c \uac00\uc838\uc624\uae30(\ubaa8\ub4e0 \uc8fc\ub9d0 \ubc0f<\/em> \uc5f0\ubc29 \uacf5\ud734\uc77c \uc81c\uc678)<\/strong><\/span><\/h2>\n
 \uc8fc\ub9d0\uacfc \uc5f0\ubc29 \uacf5\ud734\uc77c\uc744 \ubaa8\ub450 \uc81c\uc678\ud558\uace0 pandas\uc5d0\uc11c \ub450 \ub0a0\uc9dc \uc0ac\uc774\uc758 \uc601\uc5c5\uc77c \ubaa9\ub85d\uc744 \uc5bb\uc73c\ub824\uba74 pandas tseries<\/strong> \ubaa8\ub4c8 \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec 2022\ub144 1\uc6d4 1\uc77c\ubd80\ud130 2022\ub144 12\uc6d4 31\uc77c \uc0ac\uc774\uc758 \uc601\uc5c5\uc77c(\uc8fc\ub9d0\uacfc \uacf5\ud734\uc77c\uc744 \uc81c\uc678\ud55c \ubaa8\ub4e0 \ub0a0)\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 from<\/span> pandas. tseries<\/span> . holiday<\/span> import<\/span> USFederalHolidayCalendar\nfrom<\/span> pandas. tseries<\/span> . offsets<\/span> import<\/span> CustomBusinessDay\n\n#define US business days\n<\/span>us_bus = CustomBusinessDay(calendar=USFederalHolidayCalendar())\n\n#get all business days between certain start and end dates\n<\/span>us_business_days = pd. bdate_range<\/span> (' 2022-01-01<\/span> ', ' 2022-12-31<\/span> ', freq=us_bus)\n\n#view first ten business days\n<\/span>print<\/span> (us_business_days[0:10])\n\nDatetimeIndex(['2022-01-03', '2022-01-04', '2022-01-05', '2022-01-06',\n               '2022-01-07', '2022-01-10', '2022-01-11', '2022-01-12',\n               '2022-01-13', '2022-01-14'],\n              dtype='datetime64[ns]', freq='C')\n\n#view total number of business days\n<\/span>len<\/span> (us_business_days)\n\n250<\/span><\/span><\/strong><\/pre>\n
 us_business_days<\/strong> \ub77c\ub294 \uac1c\uccb4\uc5d0\ub294 \uc9c0\uc815\ub41c \uc2dc\uc791 \ub0a0\uc9dc\uc640 \uc885\ub8cc \ub0a0\uc9dc \uc0ac\uc774\uc758 \ubaa8\ub4e0 \uc601\uc5c5\uc77c(\uc8fc\ub9d0\uacfc \uacf5\ud734\uc77c\uc744 \uc81c\uc678\ud55c \ubaa8\ub4e0 \ub0a0)\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uadf8\ub9ac\uace0 len()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc9c0\uc815\ub41c \uc2dc\uc791 \ub0a0\uc9dc\uc640 \uc885\ub8cc \ub0a0\uc9dc \uc0ac\uc774\uc758 \ucd1d \uadfc\ubb34\uc77c \uc218\uac00 250<\/strong> \uc774\ub77c\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\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 \ub0a0\uc9dc\uc5d0 \uc77c\uc218\ub97c \ub354\ud558\uace0 \ube7c\ub294 \ubc29\ubc95<\/a>
 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\uc5d0\uc11c \uadfc\ubb34\uc77c\uc744 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \uc601\uc5c5\uc77c \uac00\uc838\uc624\uae30(\uc8fc\ub9d0 \uc81c\uc678) business_days = pd. bdate_range (‘ 2022-01-01 ‘, ‘ 2022-12-31 ‘) \ubc29\ubc95 2: \uc601\uc5c5\uc77c \ud655\uc778(\ubaa8\ub4e0 \uc8fc\ub9d0 \ubc0f \uc5f0\ubc29 \uacf5\ud734\uc77c \uc81c\uc678) from pandas. tseries . holiday import USFederalHolidayCalendar from pandas. tseries . offsets import CustomBusinessDay #define US business days us_bus = CustomBusinessDay(calendar=USFederalHolidayCalendar()) #get all […]<\/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-3766","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas: \uc2dc\uc791\uc77c\uacfc \uc885\ub8cc\uc77c \uc0ac\uc774\uc758 \uadfc\ubb34\uc77c \uad6c\ud558\uae30 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Pandas\uc5d0\uc11c \ud2b9\uc815 \uc2dc\uc791 \ub0a0\uc9dc\uc640 \uc885\ub8cc \ub0a0\uc9dc \uc0ac\uc774\uc758 \uc791\uc5c5\uc77c\uc744 \uc5bb\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\u110b\u1174-\u1100\u1173\u11ab\u1106\u116e\u110b\u1175\u11af\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \uc2dc\uc791\uc77c\uacfc \uc885\ub8cc\uc77c \uc0ac\uc774\uc758 \uadfc\ubb34\uc77c \uad6c\ud558\uae30 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Pandas\uc5d0\uc11c \ud2b9\uc815 \uc2dc\uc791 \ub0a0\uc9dc\uc640 \uc885\ub8cc \ub0a0\uc9dc \uc0ac\uc774\uc758 \uc791\uc5c5\uc77c\uc744 \uc5bb\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u110b\u1174-\u1100\u1173\u11ab\u1106\u116e\u110b\u1175\u11af\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-15T16:13:39+00:00\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%80%e1%85%b3%e1%86%ab%e1%84%86%e1%85%ae%e1%84%8b%e1%85%b5%e1%86%af\/\",\"url\":\"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%80%e1%85%b3%e1%86%ab%e1%84%86%e1%85%ae%e1%84%8b%e1%85%b5%e1%86%af\/\",\"name\":\"Pandas: \uc2dc\uc791\uc77c\uacfc \uc885\ub8cc\uc77c \uc0ac\uc774\uc758 \uadfc\ubb34\uc77c \uad6c\ud558\uae30 - 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