{"id":3498,"date":"2023-07-17T04:05:48","date_gmt":"2023-07-17T04:05:48","guid":{"rendered":"https:\/\/statorials.org\/ko\/ggplot2-%e1%84%83%e1%85%a2-matplotlib\/"},"modified":"2023-07-17T04:05:48","modified_gmt":"2023-07-17T04:05:48","slug":"ggplot2-%e1%84%83%e1%85%a2-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/ggplot2-%e1%84%83%e1%85%a2-matplotlib\/","title":{"rendered":"Matplotlib \ub300 ggplot2: \uc5b4\ub290 \uac83\uc744 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\uae4c?"},"content":{"rendered":"

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\ubaa8\ub4e0 \ub370\uc774\ud130 \uacfc\ud559 \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \uc778\uae30 \uc788\ub294 \ub370\uc774\ud130 \uc2dc\uac01\ud654 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc911 \ub450 \uac00\uc9c0\ub294 ggplot2<\/strong> \uc640 Matplotlib<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/span><\/p>\n

ggplot2<\/a> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 R \ud1b5\uacc4 \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\uc5d0\uc11c \uc0ac\uc6a9\ub418\ub294 \ubc18\uba74 Matplotlib\ub294<\/a> Python\uc5d0\uc11c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n

\ub450 \ub77c\uc774\ube0c\ub7ec\ub9ac \ubaa8\ub450 \uace0\ub3c4\ub85c \uc0ac\uc6a9\uc790 \uc815\uc758\ub41c \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc9c0\ub9cc \uc77c\ubc18\uc801\uc73c\ub85c ggplot2\ub97c \uc0ac\uc6a9\ud558\uba74 Matplotlib\uc5d0 \ube44\ud574 \ub354 \uc801\uc740 \ucf54\ub4dc \uc904\ub85c \uc774\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \uc810\uc744 \uc124\uba85\ud558\uae30 \uc704\ud574 \ub450 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ubaa8\ub450 \uc0ac\uc6a9\ud558\uc5ec \ub3d9\uc77c\ud55c \uc720\ud615\uc758 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec \ub4dc\ub9ac\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uaebe\uc740\uc120\ud615 \ucc28\ud2b8: ggplot2 \ub300 Matplotlib<\/strong><\/span><\/h2>\n

\ub2e4\uc74c \ucf54\ub4dc\ub294 ggplot2\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc120\ud615 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n

 library<\/span> (ggplot2)\n<\/span>\n#create data frame<\/span>\ndf <- data. frame<\/span> (day=c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10),\n                 sales=c(2, 4, 5, 8, 6, 12, 15, 19, 15, 22))\n\n#create line chart\n<\/span>ggplot(df, aes(x=day, y=sales)) +\n  geom_line(size= 1.2<\/span> , col=' purple<\/span> ') +\n  ggtitle(' Sales by Day<\/span> ') +\n  xlab(' Day<\/span> ') +\n  ylab(' Sales<\/span> ')\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Matplotlib\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ub3d9\uc77c\ud55c \uc120 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt \n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' day<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                   ' sales<\/span> ': [2, 4, 5, 8, 6, 12, 15, 19, 15, 22]})\n\n#create line chart\n<\/span>plt. plot<\/span> (df. day<\/span> , df. sales<\/span> , color=' purple<\/span> ')\nplt. title<\/span> (' Sales by Day<\/span> ', loc=' left<\/span> ')\nplt. ylabel<\/span> (' Sales<\/span> ')\nplt. xlabel<\/span> (' Day<\/span> ')<\/strong> <\/pre>\n
\"\"<\/p>\n
 \uc774 \uc608\uc5d0\uc11c \uac01 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \ub370 \ud544\uc694\ud55c \ucf54\ub4dc \uc904 \uc218\ub294 ggplot2\uc640 Matplotlib\uc5d0\uc11c \uac70\uc758 \ub3d9\uc77c\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc0b0\uc810\ub3c4: ggplot2 \ub300 Matplotlib<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud3ec\uc778\ud2b8\uac00 \uce74\ud14c\uace0\ub9ac\ubcc4\ub85c \uc0c9\uc0c1\uc774 \uc9c0\uc815\ub418\ub294 ggplot2<\/strong> \uc5d0\uc11c \uc0b0\uc810\ub3c4\ub97c \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 library<\/span> (ggplot2)\n<\/span>\n#create data frame\ndf <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n                 assists=c(1, 2, 2, 4, 5, 7, 8, 10),\n                 points=c(4, 6, 10, 8, 12, 15, 22, 28))<\/span>\n\n#create scatterplot\nggplot(df, aes(x=assists, y=points)) +\n  geom_point(aes(col=team), size= 3<\/span> )<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Matplotlib\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ub3d9\uc77c\ud55c \uc0b0\uc810\ub3c4\ub97c \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt \n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' assists<\/span> ': [1, 2, 2, 4, 5, 7, 8, 10],\n                   ' points<\/span> ': [4, 6, 10, 8, 12, 15, 22, 28]})\n\n#define colors to use\n<\/span>color_list = [] \nfor<\/span> x in<\/span> df[' team<\/span> ']: \n    if<\/span> x == ' A<\/span> ': color_list. append<\/span> (' #F8766D<\/span> ') \n    else<\/span> : color_list. append<\/span> (' #00BFC4<\/span> ') \n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df. assists<\/span> , df. points<\/span> , c=color_list)\nplt. ylabel<\/span> (' points<\/span> ')\nplt. xlabel<\/span> (' assists<\/span> ')\n<\/strong><\/pre>\n
\"\"<\/p>\n
 ggplot2\uc640 \ub3d9\uc77c\ud55c \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub824\uba74 Matplotlib\uc5d0\uc11c \ub354 \ub9ce\uc740 \ucf54\ub4dc \ub77c\uc778\uc744 \uc0ac\uc6a9\ud574\uc57c \ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ud788\uc2a4\ud1a0\uadf8\ub7a8: ggplot2 \ub300 Matplotlib<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 ggplot2<\/strong> \uc5d0\uc11c \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 library<\/span> (ggplot2)\n<\/span>\n#create data frame\ndf <- data. frame<\/span> (x=c(2, 2, 4, 4, 4, 5, 5, 6, 7, 7, 8, 8,\n                     10, 11, 11, 11, 12, 13, 14, 14))\n\n#create scatterplot\n<\/span>ggplot(df, aes(x=x)) +\n  geom_histogram(bins= 6<\/span> , fill=' red<\/span> ', color=' black<\/span> ') +\n  ggtitle(' My Histogram<\/span> ')<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Matplotlib\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc720\uc0ac\ud55c \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt \n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' x<\/span> ': [2, 2, 4, 4, 4, 5, 5, 6, 7, 7, 8, 8,\n                         10, 11, 11, 11, 12, 13, 14, 14]})\n\n#create histogram\n<\/span>plt. hist<\/span> (df[' x<\/span> '], bins= 6<\/span> , color=' red<\/span> ', ec=' black<\/span> ')\nplt. title<\/span> (' My Histogram<\/span> ', loc=' left<\/span> ') \nplt. xlabel<\/span> (' x<\/span> ') \nplt. ylabel<\/span> (' Count<\/span> ')<\/strong> <\/pre>\n
\"\"<\/p>\n
 \ub2e4\uc2dc \ud55c\ubc88 Matplotlib \ubc84\uc804\uc5d0\ub294 ggplot2\ubcf4\ub2e4 \ub354 \ub9ce\uc740 \ucf54\ub4dc \uc904\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uacb0\ub860<\/span><\/strong><\/h2>\n
 ggplot2 \ubc0f Matplotlib\ub97c \uc0ac\uc6a9\ud558\uba74 \uace0\ub3c4\ub85c \uc0ac\uc6a9\uc790 \uc815\uc758 \uac00\ub2a5\ud55c \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \ub9cc\ub4e4 \uc218 \uc788\uc9c0\ub9cc ggplot2\ub294 \ucf54\ub4dc\ub97c \ub35c \uc0ac\uc6a9\ud558\ub294 \uacbd\ud5a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 ggplot2\uc640 Matplotlib \uc0ac\uc774\uc758 \uc120\ud638\ub3c4\ub294 \ub2e8\uc21c\ud788 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0 \uc0ac\uc6a9\ud558\ub294 \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\uc5d0 \ub530\ub77c \ub2ec\ub77c\uc9c0\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 Python\uc744 \uc0ac\uc6a9\ud558\ub294 \uc0ac\ub78c\ub4e4\uc740 \ub2e8\uc77c \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \ubd84\uc11d\uc744 \uc218\ud589\ud558\uace0 \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \ub9cc\ub4e4 \uc218 \uc788\uae30 \ub54c\ubb38\uc5d0 Matplotlib\ub97c \uc0ac\uc6a9\ud558\ub294 \uacbd\ud5a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ubc18\ub300\ub85c R\uc744 \uc0ac\uc6a9\ud558\ub294 \uc0ac\ub78c\ub4e4\uc740 \ub2e8\uc77c \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\ub85c \ubaa8\ub4e0 \ub370\uc774\ud130 \ubd84\uc11d \ubc0f \uc2dc\uac01\ud654\ub97c \uc218\ud589\ud560 \uc218 \uc788\uae30 \ub54c\ubb38\uc5d0 ggplot2\ub97c \uc0ac\uc6a9\ud558\ub294 \uacbd\ud5a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\ubaa8\ub4e0 \ub370\uc774\ud130 \uacfc\ud559 \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \uc778\uae30 \uc788\ub294 \ub370\uc774\ud130 \uc2dc\uac01\ud654 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc911 \ub450 \uac00\uc9c0\ub294 ggplot2 \uc640 Matplotlib \uc785\ub2c8\ub2e4. ggplot2 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 R \ud1b5\uacc4 \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\uc5d0\uc11c \uc0ac\uc6a9\ub418\ub294 \ubc18\uba74 Matplotlib\ub294 Python\uc5d0\uc11c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ub450 \ub77c\uc774\ube0c\ub7ec\ub9ac \ubaa8\ub450 \uace0\ub3c4\ub85c \uc0ac\uc6a9\uc790 \uc815\uc758\ub41c \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc9c0\ub9cc \uc77c\ubc18\uc801\uc73c\ub85c ggplot2\ub97c \uc0ac\uc6a9\ud558\uba74 Matplotlib\uc5d0 \ube44\ud574 \ub354 \uc801\uc740 \ucf54\ub4dc \uc904\ub85c \uc774\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uc810\uc744 \uc124\uba85\ud558\uae30 […]<\/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-3498","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nMatplotlib \ub300 ggplot2: \uc5b4\ub290 \uac83\uc744 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\uae4c? 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