{"id":3573,"date":"2023-07-16T18:22:24","date_gmt":"2023-07-16T18:22:24","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%89%e1%85%a5%e1%84%87%e1%85%b3%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba\/"},"modified":"2023-07-16T18:22:24","modified_gmt":"2023-07-16T18:22:24","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%89%e1%85%a5%e1%84%87%e1%85%b3%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba","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%89%e1%85%a5%e1%84%87%e1%85%b3%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba\/","title":{"rendered":"Pandas: \uc11c\ube0c\ud50c\ub86f\uc5d0 \uc5ec\ub7ec dataframe\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc11c\ube0c\ud50c\ub86f\uc5d0 \uc5ec\ub7ec Pandas DataFrame\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define subplot layout\n<\/span>fig, axes = plt. subplots<\/span> (nrows= 2<\/span> , ncols= 2<\/span> )\n\n#add DataFrames to subplots\n<\/span>df1. plot<\/span> (ax=axes[0,0])\ndf2. plot<\/span> (ax=axes[0,1])\ndf3. plot<\/span> (ax=axes[1,0])\ndf4. plot<\/span> (ax=axes[1,1])\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608: \uc11c\ube0c\ud50c\ub86f\uc5d0 \uc5ec\ub7ec Pandas DataFrame \uadf8\ub9ac\uae30<\/strong><\/span><\/h2>\n
 4\uac1c\uc758 \ub2e4\ub978 \uc18c\ub9e4\uc810\uc5d0\uc11c\uc758 \ud310\ub9e4 \ubc0f \ubc18\ud488\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c 4\uac1c\uc758 Panda DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create four DataFrames\n<\/span>df1 = pd. DataFrame<\/span> ({' sales<\/span> ': [2, 5, 5, 7, 9, 13, 15, 17, 22, 24],\n                    ' returns<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 7, 5]})\n\ndf2 = pd. DataFrame<\/span> ({' sales<\/span> ': [2, 5, 11, 18, 15, 15, 14, 9, 6, 7],\n                    ' returns<\/span> ': [1, 2, 0, 2, 2, 4, 5, 4, 2, 1]})\n\ndf3 = pd. DataFrame<\/span> ({' sales<\/span> ': [6, 8, 8, 7, 8, 9, 10, 7, 8, 12],\n                    ' returns<\/span> ': [1,0, 1, 1, 1, 2, 3, 2, 1, 3]})\n\ndf4 = pd. DataFrame<\/span> ({' sales<\/span> ': [10, 7, 7, 6, 7, 6, 4, 3, 3, 2],\n                    ' returns<\/span> ': [4, 4, 3, 3, 2, 3, 2, 1, 1, 0]})<\/strong><\/pre>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec 2\uac1c \ud589\uacfc 2\uac1c \uc5f4\uc758 \ub808\uc774\uc544\uc6c3\uc774 \uc788\ub294 \ud558\uc704 \uadf8\ub9bc\uc5d0 \uc774\ub7ec\ud55c \uac01 DataFrame\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define subplot layout\n<\/span>fig, axes = plt. subplots<\/span> (nrows= 2<\/span> , ncols= 2<\/span> )\n\n#add DataFrames to subplots\n<\/span>df1. plot<\/span> (ax=axes[0,0])\ndf2. plot<\/span> (ax=axes[0,1])\ndf3. plot<\/span> (ax=axes[1,0])\ndf4. plot<\/span> (ax=axes[1,1])<\/strong> <\/pre>\n
\"\ud32c\ub354<\/p>\n
 4\uac1c\uc758 DataFrame\uc774 \uac01\uac01 \uc11c\ube0c\ud50c\ub86f\uc5d0 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uac01 DataFrame\uc774 \ubc30\uce58\ub418\uc5b4\uc57c \ud558\ub294 \uc704\uce58\ub97c \uc9c0\uc815\ud558\uae30 \uc704\ud574 \ucd95<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, df1<\/strong> \uc774\ub77c\ub294 DataFrame\uc740 \ud589 \uc778\ub371\uc2a4 \uac12\uc774 0<\/strong> \uc774\uace0 \uc5f4 \uc778\ub371\uc2a4 \uac12\uc774 0<\/strong> \uc778 \uc704\uce58(\uc608: \uc67c\ucabd \uc0c1\ub2e8\uc758 \uc11c\ube0c\ud50c\ub86f)\uc5d0 \ubc30\uce58\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ub610\ud55c nrows<\/strong> \ubc0f ncols<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud558\uc704 \ud50c\ub86f\uc758 \ub808\uc774\uc544\uc6c3\uc744 \ubcc0\uacbd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud558\uc704 \uadf8\ub9bc\uc744 \ud589 4\uac1c\uc640 \uc5f4 1\uac1c\ub85c \uad6c\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define subplot layout\n<\/span>fig, axes = plt. subplots<\/span> (nrows= 4<\/span> , ncols= 1<\/span> )\n\n#add DataFrames to subplots\n<\/span>df1. plot<\/span> (ax=axes[0])\ndf2. plot<\/span> (ax=axes[1])\ndf3. plot<\/span> (ax=axes[2])\ndf4. plot<\/span> (ax=axes[3])<\/strong> <\/pre>\n
\"\"<\/p>\n
 \uc774\uc81c \ud558\uc704 \ud50c\ub86f\uc740 4\uac1c\uc758 \ud589\uacfc 1\uac1c\uc758 \uc5f4\uc774 \uc788\ub294 \ub808\uc774\uc544\uc6c3\uc73c\ub85c \ubc30\uc5f4\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uc11c\ube0c\ud50c\ub86f\uc758 y\ucd95\uacfc x\ucd95\uc5d0\uc11c \ub3d9\uc77c\ud55c \ucd95\ucc99\uc744 \uac00\uc9c0\ub824\uba74 sharey<\/strong> \ubc0f sharex<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c \ucf54\ub4dc\ub294 sharey<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub4e0 \ud558\uc704 \ub3c4\ud45c\uac00 Y\ucd95\uc5d0\uc11c \ub3d9\uc77c\ud55c \ucd95\ucc99\uc744 \uac16\ub3c4\ub85d \ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define subplot layout, force subplots to have same y-axis scale\n<\/span>fig, axes = plt. subplots<\/span> (nrows= 4<\/span> , ncols= 1<\/span> , sharey= True<\/span> )\n\n#add DataFrames to subplots\n<\/span>df1. plot<\/span> (ax=axes[0])\ndf2. plot<\/span> (ax=axes[1])\ndf3. plot<\/span> (ax=axes[2])\ndf4. plot<\/span> (ax=axes[3])<\/strong> <\/pre>\n
\"\"<\/p>\n
 \uc774\uc81c \uac01 \ud558\uc704 \ud50c\ub86f\uc758 Y\ucd95 \ubc94\uc704\ub294 0\uc5d0\uc11c 20\uae4c\uc9c0\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 DataFrame\uc5d0\uc11c \uc6d0\ud615 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0\uc11c \ud3ec\uc778\ud2b8 \ud074\ub77c\uc6b0\ub4dc\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0\uc11c \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc11c\ube0c\ud50c\ub86f\uc5d0 \uc5ec\ub7ec Pandas DataFrame\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. import matplotlib. pyplot as plt #define subplot layout fig, axes = plt. subplots (nrows= 2 , ncols= 2 ) #add DataFrames to subplots df1. plot (ax=axes[0,0]) df2. plot (ax=axes[0,1]) df3. plot (ax=axes[1,0]) df4. plot (ax=axes[1,1]) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608: […]<\/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-3573","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas: \uc11c\ube0c\ud50c\ub86f\uc5d0 \uc5ec\ub7ec DataFrame\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec \uc11c\ube0c\ud50c\ub86f\uc5d0 \uc5ec\ub7ec Pandas DataFrame\uc744 \uadf8\ub9ac\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-\u1109\u1165\u1107\u1173\u1111\u1173\u11af\u1105\u1169\u11ba\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \uc11c\ube0c\ud50c\ub86f\uc5d0 \uc5ec\ub7ec DataFrame\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec \uc11c\ube0c\ud50c\ub86f\uc5d0 \uc5ec\ub7ec Pandas DataFrame\uc744 \uadf8\ub9ac\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-\u1109\u1165\u1107\u1173\u1111\u1173\u11af\u1105\u1169\u11ba\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-16T18:22:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/sous1.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%8b%e1%85%b4-%e1%84%89%e1%85%a5%e1%84%87%e1%85%b3%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba\/\",\"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%89%e1%85%a5%e1%84%87%e1%85%b3%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba\/\",\"name\":\"Pandas: \uc11c\ube0c\ud50c\ub86f\uc5d0 \uc5ec\ub7ec DataFrame\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95 - 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