{"id":1657,"date":"2023-07-25T11:56:30","date_gmt":"2023-07-25T11:56:30","guid":{"rendered":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%89%e1%85%b5%e1%84%80%e1%85%a8%e1%84%8b%e1%85%a7%e1%86%af\/"},"modified":"2023-07-25T11:56:30","modified_gmt":"2023-07-25T11:56:30","slug":"matplotlib-%e1%84%89%e1%85%b5%e1%84%80%e1%85%a8%e1%84%8b%e1%85%a7%e1%86%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%89%e1%85%b5%e1%84%80%e1%85%a8%e1%84%8b%e1%85%a7%e1%86%af\/","title":{"rendered":"Matplotlib\uc5d0\uc11c \uc2dc\uacc4\uc5f4\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

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\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc5d0\uc11c \uc2dc\uacc4\uc5f4\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\nplt. plot<\/span> (df. x<\/span> , df. y<\/span> )\n<\/strong><\/pre>\n
 \uc774\ub294 \ubcc0\uc218 x\uac00 datetime.datetime()<\/strong> \ud074\ub798\uc2a4\uc5d0 \uc18d\ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uc608\uc81c\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 1: Matplotlib\uc5d0\uc11c \uae30\ubcf8 \uc2dc\uacc4\uc5f4 \ud50c\ub86f<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc5f0\uc18d 12\uc77c \ub3d9\uc548 \uae30\uc5c5\uc758 \ucd1d \ub9e4\ucd9c\uc744 \ubcf4\uc5ec\uc8fc\ub294 \uc2dc\uacc4\uc5f4\uc744 Matplotlib\uc5d0 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> datetime\nimport<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#define data\n<\/span>df = pd. DataFrame<\/span> ({' date<\/span> ': np. array<\/span> ([datetime. datetime<\/span> (2020, 1, i+1)\nfor<\/span> i in<\/span> range(12)]),\n                   ' sales<\/span> ': [3, 4, 4, 7, 8, 9, 14, 17, 12, 8, 8, 13]})\n\n#plot time series\n<\/span>plt. plot<\/span> (df. date<\/span> , df. sales<\/span> , linewidth= 3<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
 X\ucd95\uc740 \ub0a0\uc9dc\ub97c \ub098\ud0c0\ub0b4\uace0 Y\ucd95\uc740 \uac01 \ub0a0\uc9dc\uc758 \ucd1d \ud310\ub9e4\ub7c9\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: \uc81c\ubaa9 \ubc0f \ucd95 \ub808\uc774\ube14 \uc0ac\uc6a9\uc790 \uc815\uc758<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uacfc \ucd95 \ub808\uc774\ube14\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> datetime\nimport<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#define data\n<\/span>df = pd. DataFrame<\/span> ({' date<\/span> ': np. array<\/span> ([datetime. datetime<\/span> (2020, 1, i+1)\nfor<\/span> i in<\/span> range(12)]),\n                   ' sales<\/span> ': [3, 4, 4, 7, 8, 9, 14, 17, 12, 8, 8, 13]})\n\n#plot time series\n<\/span>plt. plot<\/span> (df. date<\/span> , df. sales<\/span> , linewidth= 3<\/span> )\n\n#add title and axis labels\n<\/span>plt. title<\/span> (' Sales by Date<\/span> ')\nplt. xlabel<\/span> (' Date<\/span> ')\nplt. ylabel<\/span> (' Sales<\/span> ')\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \uc608 3: Matplotlib\uc5d0\uc11c \uc5ec\ub7ec \uc2dc\uacc4\uc5f4 \ud50c\ub86f<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Matplotlib\uc758 \ub2e8\uc77c \ud50c\ub86f\uc5d0 \uc5ec\ub7ec \uc2dc\uacc4\uc5f4\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> datetime\nimport<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#define data\n<\/span>df = pd. DataFrame<\/span> ({' date<\/span> ': np. array<\/span> ([datetime. datetime<\/span> (2020, 1, i+1)\n                                     for<\/span> i in<\/span> range(12)]),\n                   ' sales<\/span> ': [3, 4, 4, 7, 8, 9, 14, 17, 12, 8, 8, 13]})\n\ndf2 = pd. DataFrame<\/span> ({' date<\/span> ': np. array<\/span> ([datetime. datetime<\/span> (2020, 1, i+1)\n                                      for<\/span> i in<\/span> range(12)]),\n                   ' returns<\/span> ': [1, 1, 2, 3, 3, 3, 4, 3, 2, 3, 4, 7]})\n\n#plot both time series\n<\/span>plt. plot<\/span> ( df.date<\/span> , df.sales<\/span> , label=' sales<\/span> ', linewidth= 3<\/span> )\nplt. plot<\/span> ( df2.date<\/span> , df2.returns<\/span> , color=' red<\/span> ', label=' returns<\/span> ', linewidth= 3<\/span> )\n\n#add title and axis labels\n<\/span>plt. title<\/span> (' Sales by Date<\/span> ')\nplt. xlabel<\/span> (' Date<\/span> ')\nplt. ylabel<\/span> (' Sales<\/span> ')\n\n#add legend<\/span>\nplt. legend<\/span> ()\n\n#displayplot\n<\/span>plt. show<\/span> ()<\/strong><\/span> <\/pre>\n
\"Matplotlib\uc758<\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 Matplotlib: \uadf8\ub8f9\ubcc4\ub85c \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a>
 Matplotlib: \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc5d0\uc11c \uc2dc\uacc4\uc5f4\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. import matplotlib. pyplot as plt plt. plot (df. x , df. y ) \uc774\ub294 \ubcc0\uc218 x\uac00 datetime.datetime() \ud074\ub798\uc2a4\uc5d0 \uc18d\ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc81c\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: Matplotlib\uc5d0\uc11c \uae30\ubcf8 \uc2dc\uacc4\uc5f4 \ud50c\ub86f \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc5f0\uc18d 12\uc77c \ub3d9\uc548 \uae30\uc5c5\uc758 \ucd1d \ub9e4\ucd9c\uc744 \ubcf4\uc5ec\uc8fc\ub294 \uc2dc\uacc4\uc5f4\uc744 […]<\/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-1657","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nMatplotlib\uc5d0\uc11c \uc2dc\uacc4\uc5f4\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Matplotlib\uc5d0\uc11c \uc2dc\uacc4\uc5f4\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\/matplotlib-\u1109\u1175\u1100\u1168\u110b\u1167\u11af\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta 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