{"id":3854,"date":"2023-07-15T03:40:19","date_gmt":"2023-07-15T03:40:19","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%83%e1%85%a6%e1%86%a8%e1%84%89%e1%85%b3\/"},"modified":"2023-07-15T03:40:19","modified_gmt":"2023-07-15T03:40:19","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%83%e1%85%a6%e1%86%a8%e1%84%89%e1%85%b3","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%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%83%e1%85%a6%e1%86%a8%e1%84%89%e1%85%b3\/","title":{"rendered":"Pandas \ud50c\ub86f\uc5d0\uc11c \uc778\ub371\uc2a4\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uc778\ub371\uc2a4 \uac12\uc744 \ud50c\ub86f\uc758 X\ucd95 \uac12\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: \ud50c\ub86f() \uc0ac\uc6a9<\/strong><\/span><\/p>\n

 df. plot<\/span> (y=' my_column<\/span> ')\n<\/strong><\/pre>\n
 x\ucd95\uc5d0 \uc0ac\uc6a9\ud560 \ubcc0\uc218\ub97c \uc9c0\uc815\ud558\uc9c0 \uc54a\uc73c\uba74 pandas\ub294 \uae30\ubcf8 \uc778\ub371\uc2a4 \uac12\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ubc29\ubc95 2: use_index=True\ub85c \ud50c\ub86f() \uc0ac\uc6a9<\/strong><\/span><\/p>\n
 df. plot<\/span> (y=' my_column<\/span> ', use_index= True<\/span> )<\/strong><\/pre>\n
 use_index=True<\/strong> \uc778\uc218\ub294 \ud32c\ub354\uc5d0\uac8c x\ucd95\uc5d0 \uc778\ub371\uc2a4 \uac12\uc744 \uc0ac\uc6a9\ud558\ub3c4\ub85d \uba85\uc2dc\uc801\uc73c\ub85c \uc9c0\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \ub450 \uac00\uc9c0 \ubc29\ubc95 \ubaa8\ub450 \ub3d9\uc77c\ud55c \uacb0\uacfc\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/span><\/p>\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#create DatFrame\ndf = pd. DataFrame<\/span> ({' sales<\/span> ': [8, 8, 9, 12, 13, 14, 22, 26, 25, 22]},\n                   index=pd. date_range<\/span> (' 1\/1\/2020<\/span> ', periods= 10<\/span> , freq=' m<\/span> '))\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n            dirty\n2020-01-31 8\n2020-02-29 8\n2020-03-31 9\n2020-04-30 12\n2020-05-31 13\n2020-06-30 14\n2020-07-31 22\n2020-08-31 26\n2020-09-30 25\n2020-10-31 22<\/span><\/span><\/strong><\/pre>\n
 \uc608 1: \ud50c\ub86f() \uc0ac\uc6a9<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 pandas\uc758 plot(<\/strong> ) \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc758 \uc778\ub371\uc2a4 \uac12\uc744 x\ucd95\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0 sales<\/strong> \uc5f4\uc758 \uac12\uc744 y\ucd95 \uac12\uc73c\ub85c \uc0ac\uc6a9\ud558\ub294 \uc120\ud615 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 #create line chart and use index values as x-axis values\n<\/span>df. plot<\/span> (y=' sales<\/span> ')<\/strong> <\/pre>\n
\"\ud32c\ub354\ub294<\/p>\n
 \ud50c\ub86f\uc740 \uc790\ub3d9\uc73c\ub85c DataFrame \uc778\ub371\uc2a4 \ub0a0\uc9dc\ub97c \uaebe\uc740\uc120\ud615 \ucc28\ud2b8\uc758 x\ucd95 \uac12\uc73c\ub85c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 x\ucd95\uc5d0 \uc0ac\uc6a9\ud560 \ubcc0\uc218\ub97c \uc9c0\uc815\ud558\uc9c0 \uc54a\uc558\uae30 \ub54c\ubb38\uc5d0 pandas\ub294 \uae30\ubcf8 \uc778\ub371\uc2a4 \uac12\uc744 \uc0ac\uc6a9\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: use_index=True\ub85c \ud50c\ub86f() \uc0ac\uc6a9<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 use_index=True<\/strong> \uc778\uc218\uc640 \ud568\uaed8 \ud50c\ub86f(<\/strong> ) \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc758 \uc778\ub371\uc2a4 \uac12\uc744 x\ucd95\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0 sales<\/strong> \uc5f4\uc758 \uac12\uc744 \ucd95\uc73c\ub85c \uc0ac\uc6a9\ud558\ub294 \uc120\ud615 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. y\uc758 \uac00\uce58 :<\/span> <\/p>\n
 #create line chart and use index values as x-axis values\n<\/span>df. plot<\/span> (y=' sales<\/span> ', use_index= True<\/span> )<\/strong> <\/pre>\n
\"\ud32c\ub354\ub294<\/p>\n
 \ub2e4\uc2dc \ud55c\ubc88, \ud50c\ub86f\uc740 DataFrame \uc778\ub371\uc2a4 \ub0a0\uc9dc\ub97c \uc120 \uadf8\ub798\ud504\uc758 x\ucd95 \uac12\uc73c\ub85c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \uadf8\ub798\ud504\ub294 \uc774\uc804 \uadf8\ub798\ud504\uc640 \uc77c\uce58\ud569\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: \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas: \ud50c\ub86f \ucea1\uc158\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a>
 Pandas: GroupBy\uc5d0\uc11c \ub9c9\ub300 \uadf8\ub798\ud504\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uc778\ub371\uc2a4 \uac12\uc744 \ud50c\ub86f\uc758 X\ucd95 \uac12\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \ud50c\ub86f() \uc0ac\uc6a9 df. plot (y=’ my_column ‘) x\ucd95\uc5d0 \uc0ac\uc6a9\ud560 \ubcc0\uc218\ub97c \uc9c0\uc815\ud558\uc9c0 \uc54a\uc73c\uba74 pandas\ub294 \uae30\ubcf8 \uc778\ub371\uc2a4 \uac12\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \ubc29\ubc95 2: use_index=True\ub85c \ud50c\ub86f() \uc0ac\uc6a9 df. plot (y=’ my_column ‘, use_index= True ) use_index=True \uc778\uc218\ub294 \ud32c\ub354\uc5d0\uac8c x\ucd95\uc5d0 \uc778\ub371\uc2a4 \uac12\uc744 \uc0ac\uc6a9\ud558\ub3c4\ub85d \uba85\uc2dc\uc801\uc73c\ub85c […]<\/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-3854","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas \ud50c\ub86f\uc5d0\uc11c \uc778\ub371\uc2a4\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\uc640 \ud568\uaed8 \ud50c\ub86f\uc5d0\uc11c Pandas DataFrame\uc758 \uc778\ub371\uc2a4\ub97c \uc0ac\uc6a9\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-\u1111\u1173\u11af\u1105\u1169\u11ba-\u110b\u1175\u11ab\u1103\u1166\u11a8\u1109\u1173\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas \ud50c\ub86f\uc5d0\uc11c \uc778\ub371\uc2a4\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\uc640 \ud568\uaed8 \ud50c\ub86f\uc5d0\uc11c Pandas DataFrame\uc758 \uc778\ub371\uc2a4\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u1111\u1173\u11af\u1105\u1169\u11ba-\u110b\u1175\u11ab\u1103\u1166\u11a8\u1109\u1173\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-15T03:40:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/indice11.jpg\" \/>\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%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%83%e1%85%a6%e1%86%a8%e1%84%89%e1%85%b3\/\",\"url\":\"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%83%e1%85%a6%e1%86%a8%e1%84%89%e1%85%b3\/\",\"name\":\"Pandas \ud50c\ub86f\uc5d0\uc11c \uc778\ub371\uc2a4\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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