{"id":3270,"date":"2023-07-18T08:46:01","date_gmt":"2023-07-18T08:46:01","guid":{"rendered":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab%e1%84%89%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-18T08:46:01","modified_gmt":"2023-07-18T08:46:01","slug":"matplotlib-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab%e1%84%89%e1%85%a5%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab%e1%84%89%e1%85%a5%e1%86%ab\/","title":{"rendered":"Matplotlib\uc5d0\uc11c \ud50c\ub86f\uc5d0 \ud3c9\uade0\uc120\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc758 \ud50c\ub86f\uc5d0 \ud3c9\uade0 \uc120\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> numpy as<\/span> np\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n\n#add horizontal line at mean value of y\n<\/span>plt. axhline<\/span> (y=np. nanmean<\/span> (df. y<\/span> ))\n<\/strong><\/pre>\n
 axhline<\/strong> \uc740 \ud50c\ub86f\uc5d0 \uc218\ud3c9\uc120\uc744 \ucd94\uac00\ud558\uace0 nanmean\uc740<\/strong> \uc120\uc774 \ubc30\uce58\ub418\uc5b4\uc57c \ud558\ub294 \ud3c9\uade0\uac12(NaN \ubb34\uc2dc)\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/p>\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: Matplotlib\uc758 \ud50c\ub86f\uc5d0 \ud3c9\uade0\uc120 \ucd94\uac00<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' x<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],\n                   ' y<\/span> ':[2, 5, 6, 5, 7, 8, 10, 12, 10, 9, 11, 15]})\n\n#view first five rows of DataFrame\n<\/span>df. head<\/span> ()\n\n\tx y\n0 1 2\n1 2 5\n2 3 6\n3 4 5\n4 5 7<\/strong><\/span><\/pre>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec x \ub300 y\uc758 \uc0b0\uc810\ub3c4\ub97c \ub9cc\ub4e4\uace0 \ud3c9\uade0 y \uac12\uc744 \ub098\ud0c0\ub0b4\ub294 \uc218\ud3c9\uc120\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> numpy as<\/span> np\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n\n#add horizontal line at mean value of y\n<\/span>plt. axhline<\/span> (y=np. nanmean<\/span> (df. y<\/span> ))<\/strong> <\/pre>\n
\"\"<\/p>\n
 \uadf8\ub798\ud504\uc758 y \uac12 8 \ubc14\ub85c \uc704\uc5d0 \ud3c9\uade0 \uc120\uc774 \ucd94\uac00\ub41c \uac83\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ud3c9\uade0 y \uac12\uc744 \uacc4\uc0b0\ud558\uba74 8.333\uc774\ub77c\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #calculate average y-value<\/span>\nn.p. nanmean<\/span> (df. y<\/span> )\n\n8.333333333\n<\/strong><\/pre>\n
 color<\/strong> , linestyle<\/strong> \ubc0f linewidth<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac01\uac01 \ud3c9\uade0 \uc120\uc758 \uc0c9\uc0c1, \uc120\uc885\ub958 \ubc0f \uc120\ud3ed\uc744 \uc9c0\uc815\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> numpy as<\/span> np\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n\n#add horizontal line at mean value of y\n<\/span>plt. axhline<\/span> (y=np. nanmean<\/span> (df. y<\/span> ), color=' red<\/span> ', linestyle=' --<\/span> ', linewidth= 3<\/span> , label=' Avg<\/span> ')<\/strong> <\/pre>\n
\"Matplotlib\uc758<\/p>\n
 \ucc38\uace0<\/strong> : axhline()<\/strong> \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \uc628\ub77c\uc778 \uc124\uba85\uc11c\ub294 \uc5ec\uae30\uc5d0\uc11c<\/a> \ucc3e\uc744 \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 Matplotlib\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
 Matplotlib\uc5d0 \ucd94\uc138\uc120\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 Matplotlib\uc5d0\uc11c \uc218\uc9c1\uc120\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95<\/a>
 Matplotlib\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc758 \ud50c\ub86f\uc5d0 \ud3c9\uade0 \uc120\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. import matplotlib. pyplot as plt import numpy as np #create scatterplot plt. scatter (df. x , df. y ) #add horizontal line at mean value of y plt. axhline (y=np. nanmean (df. y )) axhline \uc740 \ud50c\ub86f\uc5d0 \uc218\ud3c9\uc120\uc744 \ucd94\uac00\ud558\uace0 nanmean\uc740 \uc120\uc774 \ubc30\uce58\ub418\uc5b4\uc57c \ud558\ub294 \ud3c9\uade0\uac12(NaN […]<\/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-3270","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nMatplotlib\uc758 \ud50c\ub86f\uc5d0 \ud3c9\uade0\uc120\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Matplotlib\uc758 \ud50c\ub86f\uc5d0 \ud3c9\uade0\uc120\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \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\/matplotlib-\u1111\u1167\u11bc\u1100\u1172\u11ab\u1109\u1165\u11ab\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Matplotlib\uc758 \ud50c\ub86f\uc5d0 \ud3c9\uade0\uc120\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95 - 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