{"id":4002,"date":"2023-07-14T05:26:49","date_gmt":"2023-07-14T05:26:49","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%aa%e3%83%b3%e3%83%88%e3%83%ac%e3%83%bc%e3%82%b9%e3%82%ab%e3%83%a9%e3%83%bc\/"},"modified":"2023-07-14T05:26:49","modified_gmt":"2023-07-14T05:26:49","slug":"%e3%83%9e%e3%83%aa%e3%83%b3%e3%83%88%e3%83%ac%e3%83%bc%e3%82%b9%e3%82%ab%e3%83%a9%e3%83%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%aa%e3%83%b3%e3%83%88%e3%83%ac%e3%83%bc%e3%82%b9%e3%82%ab%e3%83%a9%e3%83%bc\/","title":{"rendered":"Seaborn \u30e9\u30a4\u30f3 \u30d7\u30ed\u30c3\u30c8\u306e\u8272\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u6b21\u306e\u65b9\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u3001\u6d77\u6d0b\u30d7\u30ed\u30c3\u30c8\u306e\u7dda\u306e\u8272\u3092\u5909\u66f4\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

\u65b9\u6cd5 1: Seaborn \u306e\u7dda\u306e\u8272\u3092\u5909\u66f4\u3059\u308b<\/strong><\/span><\/p>\n

\u5358\u7dda\u306e\u7dda\u5f62\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u5834\u5408\u306f\u3001 color<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u8272\u3092\u6307\u5b9a\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

 sns. lineplot<\/span> (data=df, x=' x_var<\/span> ', y=' y_var<\/span> ', color=' red<\/span> ')\n<\/b><\/pre>\n
\u65b9\u6cd5 2: Seaborn \u306e\u8907\u6570\u306e\u7dda\u306e\u8272\u3092\u5909\u66f4\u3059\u308b<\/strong><\/span><\/p>\n
\u8907\u6570\u306e\u7dda\u304b\u3089\u306a\u308b\u76f4\u7dda\u30d1\u30b9\u3092\u4f5c\u6210\u3059\u308b\u5834\u5408\u3001 palette<\/b>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u8907\u6570\u306e\u8272\u3092\u6307\u5b9a\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 sns. lineplot<\/span> (data=df, x=' x_var<\/span> ', y=' y_var<\/span> ', hue=' group_var<\/span> ', palette=[' red<\/span> ', ' blue<\/span> '])<\/b><\/pre>\n
\u6b21\u306e\u4f8b\u306f\u3001\u5404\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
\u4f8b 1: Seaborn \u306e\u7dda\u306e\u8272\u3092\u5909\u66f4\u3059\u308b<\/strong><\/span><\/h2>\n
\u5c0f\u58f2\u5e97\u3067\u9023\u7d9a 10 \u65e5\u9593\u306b\u884c\u308f\u308c\u305f\u58f2\u4e0a\u306b\u95a2\u3059\u308b\u60c5\u5831\u3092\u542b\u3080\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' day<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                   ' sales<\/span> ': [3, 3, 5, 4, 5, 6, 8, 9, 14, 18]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   day sales\n0 1 3\n1 2 3\n2 3 5\n3 4 4\n4 5 5\n5 6 6\n6 7 8\n7 8 9\n8 9 14\n9 10 18<\/span><\/span><\/strong><\/pre>\n
 lineplot()<\/strong>\u95a2\u6570\u306ecolor<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u7279\u5b9a\u306e\u8272\u3067\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\n\n#create lineplot with red line to show sales by day\n<\/span>sns. lineplot<\/span> (data=df, x=' day<\/span> ', y=' sales<\/span> ', color=' red<\/span> ')<\/b>\n<\/strong><\/pre>\n
\"\"<\/p>\n
\u30d7\u30ed\u30c3\u30c8\u5185\u306e\u7dda\u306e\u8272\u306f\u3001 color<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u6307\u5b9a\u3057\u305f\u300c\u8d64\u300d\u3067\u3059\u3002<\/span><\/p>\n
\u307e\u305f\u3001 color<\/strong>\u5f15\u6570\u306b 16 \u9032\u6570\u306e\u30ab\u30e9\u30fc \u30b3\u30fc\u30c9\u3092\u6307\u5b9a\u3067\u304d\u308b\u3053\u3068\u306b\u3082\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\n\n#create lineplot with teal line to show sales by day\n<\/span>sns. lineplot<\/span> (data=df, x=' day<\/span> ', y=' sales<\/span> ', color=' #028ca1<\/span> ')<\/b><\/strong> <\/pre>\n
\"\"<\/p>\n
\u4f8b 2: Seaborn \u306e\u8907\u6570\u306e\u7dda\u306e\u8272\u3092\u5909\u66f4\u3059\u308b<\/strong><\/span><\/h2>\n
2 \u3064\u306e\u7570\u306a\u308b\u5c0f\u58f2\u5e97\u3067\u9023\u7d9a 5 \u65e5\u9593\u306b\u884c\u308f\u308c\u305f\u58f2\u4e0a\u306b\u95a2\u3059\u308b\u60c5\u5831\u3092\u542b\u3080\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' day<\/span> ': [1, 2, 3, 4, 5, 1, 2, 3, 4, 5],\n                   ' store<\/span> ': ['A', 'A', 'A', 'A', 'A',\n                             'B', 'B', 'B', 'B', 'B'],\n                   ' sales<\/span> ': [3, 3, 5, 4, 7, 6, 8, 9, 12, 13]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   day store sales\n0 1 To 3\n1 2 To 3\n2 3 To 5\n3 4 A 4\n4 5 A 7\n5 1 B 6\n6 2 B 8\n7 3 B 9\n8 4 B 12\n9 5 B 13\n<\/span><\/span><\/strong><\/pre>\n
 lineplot()<\/strong>\u95a2\u6570\u306e\u30d1\u30ec\u30c3\u30c8<\/b>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u3044\u304f\u3064\u304b\u306e\u7279\u5b9a\u306e\u8272\u3092\u542b\u3080\u6298\u308c\u7dda\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\n\n#create lineplot with red and blue lines to show sales by day by store\n<\/span>sns. lineplot<\/span> (data=df, x=' day<\/span> ', y=' sales<\/span> ', hue=' store<\/span> ', palette=[' red<\/span> ', ' blue<\/span> '])<\/b>\n<\/strong><\/pre>\n
\"\"<\/p>\n
\u884c\u306e\u8272\u306f\u3001\u30d1\u30ec\u30c3\u30c8<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u6307\u5b9a\u3057\u305f\u8272\u306b\u5bfe\u5fdc\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u307e\u305f\u3001\u30d1\u30ec\u30c3\u30c8<\/strong>\u5f15\u6570\u306b 16 \u9032\u6570\u306e\u30ab\u30e9\u30fc \u30b3\u30fc\u30c9\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n
\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Seaborn \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n
 Seaborn\u3067\u7dda\u306e\u592a\u3055\u3092\u8abf\u6574\u3059\u308b\u65b9\u6cd5<\/a>
Seaborn \u3067\u8907\u6570\u306e\u7dda\u3092\u63cf\u304f\u65b9\u6cd5<\/a>
Seaborn \u3067\u30ec\u30b8\u30a7\u30f3\u30c9\u306e\u4f4d\u7f6e\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u6b21\u306e\u65b9\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u3001\u6d77\u6d0b\u30d7\u30ed\u30c3\u30c8\u306e\u7dda\u306e\u8272\u3092\u5909\u66f4\u3067\u304d\u307e\u3059\u3002 \u65b9\u6cd5 1: Seaborn \u306e\u7dda\u306e\u8272\u3092\u5909\u66f4\u3059\u308b \u5358\u7dda\u306e\u7dda\u5f62\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u5834\u5408\u306f\u3001 color\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u8272\u3092\u6307\u5b9a\u3067\u304d\u307e\u3059\u3002 sns. lineplot (d […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-4002","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nSeaborn \u30e9\u30a4\u30f3 \u30d7\u30ed\u30c3\u30c8\u306e\u8272\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Seaborn \u3067\u7dda\u306e\u30d1\u30b9\u306e\u8272\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\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\/ja\/\u30de\u30ea\u30f3\u30c8\u30ec\u30fc\u30b9\u30ab\u30e9\u30fc\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Seaborn \u30e9\u30a4\u30f3 \u30d7\u30ed\u30c3\u30c8\u306e\u8272\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5 - 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