{"id":61788,"date":"2018-07-03T03:54:35","date_gmt":"2018-07-02T18:54:35","guid":{"rendered":"https:\/\/www.sejuku.net\/blog\/?p=61788"},"modified":"2024-05-06T11:49:16","modified_gmt":"2024-05-06T02:49:16","slug":"plotly","status":"publish","type":"post","link":"https:\/\/www.sejuku.net\/blog\/61788","title":{"rendered":"\u52d5\u304f\u30b0\u30e9\u30d5\u304c\u4f5c\u308c\u308bPlotly\uff01cufflinks\u3067\u7c21\u5358\u4f5c\u6210\uff01"},"content":{"rendered":"<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u52d5\u304f\u30b0\u30e9\u30d5\u306e\u4f5c\u308a\u65b9\u3092\u7d39\u4ecb\u3057\u307e\u3059\uff01\u3000\u307e\u305a\u306f\u5b9f\u969b\u306b\u4f5c\u3063\u305f\u30b0\u30e9\u30d5\u3092\u5fa1\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n<div><img decoding=\"async\" class=\"aligncenter size-full wp-image-82576\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly_demo.mov.gif\" alt=\"\" width=\"600\" height=\"400\" \/><\/div>\n<div>\u3053\u3053\u3067\u306fgif\u3067\u304a\u898b\u305b\u3057\u307e\u3057\u305f\u304c\u3001\u5b9f\u969b\u306b\u306fWeb\u30d6\u30e9\u30a6\u30b6\u304b\u3089\u30b0\u30ea\u30b0\u30ea\u3068\u52d5\u304b\u305b\u308b\u30b0\u30e9\u30d5\u3067\u3059\u3002\u3053\u306e\u30b0\u30e9\u30d5\u306fPython\u306ePlotly\u3068\u3044\u3046\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u4f5c\u308a\u307e\u3057\u305f\u3002<\/div>\n<p>Jupyter Notebook\u3067\u6a5f\u68b0\u5b66\u7fd2\u306e\u5b9f\u9a13\u3092\u3057\u3066\u3044\u308b\u3068\u304d\u306b\u3001\u30b0\u30e9\u30d5\u3092\u30b0\u30ea\u30b0\u30ea\u3068\u52d5\u304b\u3057\u305f\u3044\u3068\u601d\u3063\u305f\u3053\u3068\u306f\u3042\u308a\u307e\u305b\u3093\u304b\uff1f\u3000\u305d\u3093\u306a\u3068\u304d\u3001Plotly\u304c\u30aa\u30b9\u30b9\u30e1\u3067\u3059\u3002<\/p>\n<div class=\"box01\">\n<ul>\n<li><b>Plotly\u3068\u306f<\/b><\/li>\n<li><b>Plotly\u306e\u7c21\u5358\u306a\u4f7f\u3044\u65b9<\/b><\/li>\n<\/ul>\n<\/div>\n<p>\u3092\u30c1\u30a7\u30c3\u30af\u3057\u3066\u3001Plotly\u3092\u4f7f\u3044\u3053\u306a\u3057\u307e\u3057\u3087\u3046\uff01<\/p>\n<p>\u307e\u305f\u3001\u3053\u306e\u8a18\u4e8b\u3067\u306f\u7c21\u5358\u306a\u64cd\u4f5c\u3067Plotly\u306e\u30d1\u30ef\u30fc\u3092\u4f53\u9a13\u3059\u308b\u305f\u3081\u306b\u3001Plotly\u3092pandas\u304b\u3089\u64cd\u4f5c\u3059\u308bCufflinks\u3068\u3044\u3046\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3044\u307e\u3059\u3002Simple is Best\uff01\u7c21\u5358\u64cd\u4f5c\u3067Plotly\u3092\u4f53\u9a13\u3057\u3061\u3083\u3044\u307e\u3057\u3087\u3046\uff01<\/p>\n<h2>Plotly\u3068\u306f<\/h2>\n<p><img decoding=\"async\" class=\"aligncenter size-large wp-image-61794\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly1-640x322.png\" alt=\"plotly1\" width=\"640\" height=\"322\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly1-640x322.png 640w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly1-150x75.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly1-300x151.png 300w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly1-810x407.png 810w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly1-1140x573.png 1140w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly1.png 1456w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/p>\n<p><div class=\"img-caption\">\u5f15\u7528\u5143\uff1aplot\u3000<a href=\"https:\/\/plot.ly\">https:\/\/plot.ly<\/div><\/a><\/p>\n<h3>Plotly\u306f\u30c7\u30fc\u30bf\u53ef\u8996\u5316\u306e\u305f\u3081\u306e\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0<\/h3>\n<p>Plotly\u306f\u30c7\u30fc\u30bf\u53ef\u8996\u5316\u306e\u305f\u3081\u306e\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067\u3059\u3002<\/p>\n<p>\u307e\u305f\u3001Plotly\u306f\u69d8\u3005\u306a\u30c7\u30fc\u30bf\u3092\u5171\u6709\u3059\u308b\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067\u3082\u3042\u308a\u307e\u3059\u3002\u57fa\u672c\u7684\u306b\u7121\u6599\u3067\u4f7f\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u304c\u3001\u30c7\u30fc\u30bf\u3092\u5916\u90e8\u516c\u958b\u3057\u306a\u3044\u8a2d\u5b9a\u306b\u3059\u308b\u306b\u306f\u8ab2\u91d1\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n<h3>\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u3057\u3066\u306ePlotly<\/h3>\n<p>\u53ef\u8996\u5316\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u3057\u3066\u306ePlotly\u306f\u3001Plotly\u306eWeb\u30b5\u30fc\u30d3\u30b9\u3068\u9023\u643a\u3057\u306a\u304f\u3066\u3082\u30aa\u30d5\u30e9\u30a4\u30f3\u3067\u4f7f\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002Plotly\u306fJavaScript\u3067\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\n<p>matplotlib\u306e\u3088\u3046\u306b\u30d7\u30ed\u30c3\u30c8\u304c\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u3068\u3057\u3066\u4f5c\u3089\u308c\u308b\u306e\u3067\u306f\u7121\u304f\u3001Web\u30d6\u30e9\u30a6\u30b6\u3067\u52d5\u304b\u305b\u308b\u3082\u306e\u304c\u51fa\u529b\u3055\u308c\u307e\u3059\u3002\u307e\u305f\u3001\u30aa\u30d5\u30e9\u30a4\u30f3\u3067\u53ef\u8996\u5316\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u3057\u3066\u4f7f\u3046\u5206\u306b\u306f\u7121\u6599\u3067\u3059\u3002<\/p>\n<h3>\u8272\u3093\u306a\u8a00\u8a9e\u306b\u7528\u610f\u3055\u308c\u305f\u30e9\u30a4\u30d6\u30e9\u30ea\u304b\u3089Plotly\u304c\u4f7f\u3048\u308b<\/h3>\n<p>Plotly\u306fPython\u306e\u4ed6\u306b\u3082<br \/>\n<div class=\"box01\"><\/p>\n<ul>\n<li><b>R<\/b><\/li>\n<li><b>Julia<\/b><\/li>\n<li><b>matlab<\/b><\/li>\n<li><b>JavaScript<\/b><\/li>\n<li><b>\u305d\u306e\u4ed6\u3044\u308d\u3044\u308d<\/b><\/li>\n<\/ul>\n<\/div>\n<p>\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u3002\u3044\u308d\u3093\u306a\u8a00\u8a9e\u304b\u3089\u64cd\u4f5c\u3067\u304d\u308b\u306e\u3067\u3001\u3069\u306e\u8a00\u8a9e\u304b\u3089\u3067\u3082\u540c\u3058\u898b\u305f\u76ee\u306e\u30b0\u30e9\u30d5\u304c\u4f5c\u308c\u3066\u4fbf\u5229\u3067\u3059\u306d\u3002<\/p>\n<h2>Cufflinks\u304b\u3089Plotly\u3092\u4f7f\u3063\u3066\u307f\u3088\u3046<\/h2>\n<p><a href=\"https:\/\/plot.ly\/ipython-notebooks\/cufflinks\/\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter size-large wp-image-61796\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly2-640x140.png\" alt=\"plotly2\" width=\"640\" height=\"140\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly2-640x140.png 640w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly2-150x33.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly2-300x66.png 300w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly2.png 753w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p><div class=\"img-caption\">\u5f15\u7528\u5143\uff1aplotly\u00a0<a href=\"https:\/\/plot.ly\/ipython-notebooks\/cufflinks\/\">https:\/\/plot.ly\/ipython-notebooks\/cufflinks\/<\/div><\/a><\/p>\n<p>Plotly\u306f\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\uff08\u5bfe\u8a71\u7684\uff09\u306a\u30b0\u30e9\u30d5\u304c\u4f5c\u308c\u308b\u7d20\u6674\u3089\u3057\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u3067\u3059\u304c\u3001Plotly\u306ePython\u5411\u3051\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u305d\u306e\u307e\u307e\u4f7f\u3046\u3068\u3001\u8907\u96d1\u306a\u30c7\u30fc\u30bf\u3092\u53ef\u8996\u5316\u3059\u308b\u30b3\u30fc\u30c9\u304c\u96e3\u3057\u304f\u306a\u3063\u3066\u3057\u307e\u3044\u307e\u3059\u3002\u6b63\u76f4\u306a\u3068\u3053\u308d\u3001\u500b\u4eba\u7684\u306b\u306f\u305d\u306e\u307e\u307e\u306f\u4f7f\u3044\u305f\u304f\u306a\u3044\u3067\u3059\u3002<\/p>\n<p>\u305d\u3053\u3067\u3001\u30c7\u30fc\u30bf\u89e3\u6790\u3092\u3059\u308b\u3068\u304d\u306b\u3088\u304f\u304a\u4e16\u8a71\u306b\u306a\u308b<strong>Pandas\u306eDataFrame\u304b\u3089Plotly\u304c\u4f7f\u3048\u308b\u300cCufflinks\u300d\u3092\u7d39\u4ecb<\/strong>\u3057\u307e\u3059\u3002Jupyter lab\/notebook\u3067\u8a66\u3057\u306a\u304c\u3089\u3053\u306e\u8a18\u4e8b\u3092\u8aad\u307f\u9032\u3081\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<h3>Cufflinks\u3067DataFrame\u304b\u3089\u7c21\u5358\u306b\u30d7\u30ed\u30c3\u30c8<\/h3>\n<p>Cuflflinks\u306fDataFrame\u306e\u30e1\u30bd\u30c3\u30c9\u306b\u3001Plotly\u306e\u30b0\u30e9\u30d5\u4f5c\u6210\u6a5f\u80fd\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/p>\n<p>\u57fa\u672c\u7684\u306b\u306f<\/p>\n<pre class=\"lang:python decode:true\">[\u53ef\u8996\u5316\u3057\u305f\u3044\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u30aa\u30d6\u30b8\u30a7\u30af\u30c8].iplot()\r\n\r\n# \u4f8b\r\ndf.iplot()<\/pre>\n<p>\u3067\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\uff01\u3000\u305d\u308c\u3067\u306f\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092import\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\">import pandas as pd\r\nimport cufflinks as cf\r\nimport numpy as np\r\n\r\nfrom sklearn import datasets       # \u3053\u306e\u8a18\u4e8b\u3067\u4f7f\u3046\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u30e2\u30b8\u30e5\u30fc\u30eb\r\nfrom sklearn.manifold import TSNE  # T-SNE\u306f4\u6b21\u5143\u4ee5\u4e0a\u306e\u30c7\u30fc\u30bf\u3092\u4e09\u6b21\u5143\u4ee5\u4e0b\u306b\u6b21\u5143\u5727\u7e2e\u3059\u308b\u624b\u6cd5\r\n\r\ncf.go_offline()                    # \u3053\u3053\u3067\u306f\u30aa\u30d5\u30e9\u30a4\u30f3\u3067\u4f5c\u696d\u3057\u307e\u3059\u3002<\/pre>\n<p>\u6700\u5f8c\u306e\u884c\u3092\u898b\u3066\u304f\u3060\u3055\u3044\u3002<strong>cf.go_offline()\u306fplotly\u3092\u30aa\u30d5\u30e9\u30a4\u30f3\u3067\u64cd\u4f5c\u3059\u308b\u305f\u3081\u306e\u8a18\u8ff0<\/strong>\u3067\u3059\u3002<\/p>\n<h3>2D\u6563\u5e03\u56f3<\/h3>\n<p>\u307e\u305a\u306f\u4e8c\u6b21\u5143\u306e\u6563\u5e03\u56f3\u3092\u4f5c\u3063\u3066\u307f\u307e\u3057\u3087\u3046\u3002MNIST\u3068\u3044\u3046\u3001\u624b\u66f8\u304d\u306e0\u304b\u30899\u307e\u3067\u306e\u6570\u5b57\u304c\u96c6\u3081\u3089\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u53ef\u8996\u5316\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<p>\u307e\u305a\u306f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30ed\u30fc\u30c9\u3057\u3066\u3001DataFrame\u306b\u5909\u63db\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\">digits = datasets.load_digits()\r\n\r\ndf = pd.DataFrame(digits.data)\r\ndf[\"label\"] = digits[\"target\"]\r\n\r\n# \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u5148\u982d\u4e94\u884c\u3092\u8868\u793a\u3057\u3066\u307f\u307e\u3059\u3002\r\ndf.head()<\/pre>\n<p>[\u51fa\u529b\u7d50\u679c]<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-large wp-image-61797\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly3-640x168.png\" alt=\"plotly3\" width=\"640\" height=\"168\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly3-640x168.png 640w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly3-150x39.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly3-300x79.png 300w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly3-810x213.png 810w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly3.png 827w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/p>\n<div>\u3053\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306f\u3001<\/div>\n<div class=\"box01\">\n<ul>\n<li><b>\u30c7\u30fc\u30bf\u65701797\u500b<\/b><\/li>\n<li><b>\u7279\u5fb464\u500b<\/b><\/li>\n<li><b>\u30e9\u30d9\u30eb\uff080~9\u307e\u3067\u306e\u3046\u3061\u306e\u3069\u308c\u304b\u306e\u6570\u5b57\uff09<\/b><\/li>\n<\/ul>\n<p><\/div><br \/>\n\u304b\u3089\u69cb\u6210\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u305d\u308c\u305e\u308c\u306e\u30c7\u30fc\u30bf\u304c64\u500b\u306e\u7279\u5fb4\u3092\u6301\u3063\u3066\u3044\u308b\u306e\u3067\u30012\u6b21\u5143\u306b\u6b21\u5143\u5727\u7e2e\u3057\u3066\u304b\u3089\u30d7\u30ed\u30c3\u30c8\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<p>\u3053\u3053\u3067\u306f\u3001\u6b21\u5143\u5727\u7e2e\u306bT-SNE\u3068\u3044\u3046\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u3044\u307e\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\">X2 = TSNE(n_components=2,verbose=True).fit_transform(df.values) # verbose\u306f\u5b66\u7fd2\u4e2d\u306e\u30ed\u30b0\u3092\u8868\u793a\u3059\u308b\u30aa\u30d7\u30b7\u30e7\u30f3\r\n\r\nembed2d = pd.DataFrame(X2, columns=list(\"XY\"))\r\nembed2d[\"label\"] = df[\"label\"]\r\n\r\n# \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u5148\u982d\u4e94\u884c\u3092\u8868\u793a\r\nembed2d.head()<\/pre>\n<p>[\u51fa\u529b\u7d50\u679c]<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-large wp-image-61798\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly4-640x321.png\" alt=\"plotly4\" width=\"640\" height=\"321\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly4-640x321.png 640w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly4-150x75.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly4-300x150.png 300w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly4.png 648w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/p>\n<p>\u3055\u3066\u3001\u3053\u308c\u3067\u4e8c\u6b21\u5143\u306e\u30b0\u30e9\u30d5\u304c\u4f5c\u308c\u308b\u72b6\u614b\u306b\u306a\u308a\u307e\u3057\u305f\u306e\u3067\u3001\u65e9\u901f\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u53ef\u8996\u5316\u3057\u3066\u307f\u307e\u3059\u3002<strong>iplot\u30e1\u30bd\u30c3\u30c9\u306fkind\u3068x,y\u3060\u3051\u3092\u6307\u5b9a\u3059\u308c\u3070\u30d7\u30ed\u30c3\u30c8\u304c\u3067\u304d\u307e\u3059<\/strong>\u304c\u3001\u3053\u3053\u3067\u306f\u3082\u3046\u5c11\u3057\u624b\u3092\u52a0\u3048\u3066\u307f\u307e\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\">embed2d.iplot(kind=\"scatter\",          # \u7a2e\u985e=\u6563\u5e03\u56f3\r\n              x=\"X\", y=\"Y\",            # x\u8ef8\u3092\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\"X\"\u5217\u306b\u3001 y\u8ef8\u3092\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\"Y\"\u5217\u306b\r\n              xTitle=\"X\", yTitle=\"Y\",  # \u30d7\u30ed\u30c3\u30c8\u306ex\u8ef8\u3068y\u8ef8\u306e\u540d\u524d\u306e\u6307\u5b9a\r\n              categories=\"label\",      # \u30ab\u30c6\u30b4\u30ea\u3092\u8868\u3059\u5217\u3092\u6307\u5b9a\u3002\u3053\u3053\u306e\u6307\u5b9a\u306b\u5408\u308f\u305b\u3066\u30b0\u30e9\u30d5\u4e2d\u306e\u5404\u30c7\u30fc\u30bf\u306e\u8272\u304c\u5909\u308f\u308a\u307e\u3059\r\n              title=\"T-SNE 2D demo\")   # \u30d7\u30ed\u30c3\u30c8\u306e\u30bf\u30a4\u30c8\u30eb\u3092\u6307\u5b9a<\/pre>\n<p>[\u51fa\u529b\u7d50\u679c]<\/p>\n<div><img decoding=\"async\" class=\"aligncenter size-full wp-image-82578\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly_demo2.mov.gif\" alt=\"\" width=\"600\" height=\"400\" \/><\/div>\n<p>\u7c21\u5358\u306a\u30b3\u30fc\u30c9\u3067\u52d5\u304b\u305b\u308b\u30b0\u30e9\u30d5\u304c\u3067\u304d\u307e\u3057\u305f\uff01\u3000\u51fa\u529b\u7d50\u679c\u3092\u3044\u3058\u3063\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002\u4f8b\u3048\u3070\u53f3\u306b\u4e26\u3093\u3067\u3044\u308b0\u304b\u30899\u307e\u3067\u306e\u6570\u5b57\u3092\u30af\u30ea\u30c3\u30af\u3059\u308b\u3068\u3001\u30b0\u30e9\u30d5\u304b\u3089\u305d\u306e\u30ab\u30c6\u30b4\u30ea\u306e\u30c7\u30fc\u30bf\u3092\u6d88\u3057\u305f\u308a\u3001\u307e\u305f\u8868\u793a\u3057\u305f\u308a\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u30d7\u30ed\u30c3\u30c8\u3055\u308c\u305f\u30c7\u30fc\u30bf\u306b\u30de\u30a6\u30b9\u30ab\u30fc\u30bd\u30eb\u3092\u3042\u308f\u305b\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002\u30c7\u30fc\u30bf\u306e\u5ea7\u6a19\u304c\u8868\u793a\u3055\u308c\u305f\u308a\u3001\u62e1\u5927\u7e2e\u5c0f\u304c\u3067\u304d\u305f\u308a\u3068\u3044\u3063\u305f\u64cd\u4f5c\u304c\u3067\u304d\u308b\u306f\u305a\u3067\u3059\u3002<\/p>\n<h3>3D\u6563\u5e03\u56f3<\/h3>\n<p>\u3067\u306f\u6b21\u306b\u3001\u4e09\u6b21\u5143\u306e\u6563\u5e03\u56f3\u3092\u4f5c\u3063\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u57fa\u672c\u7684\u306b\u306f\u5148\u7a0b\u3068\u540c\u3058\u6d41\u308c\u306b\u306a\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092T-SNE\u3067\u4e09\u6b21\u5143\u306b\u5727\u7e2e\u3057\u305f\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u53ef\u8996\u5316\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\"># embed3d\u306fT-SNE\u3067\u4f5c\u3063\u305f\u4e09\u6b21\u5143\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3067\u3059\u3002\r\nembed3d.iplot(kind=\"scatter3d\",       # \u7a2e\u985e=3D\u6563\u5e03\u56f3\r\n              x=\"X\", y=\"Y\", z=\"Z\",    # x\u8ef8,y\u8ef8,z\u8ef8\u3092\u6307\u5b9a\r\n              mode=\"markers\",         # \u30d7\u30ed\u30c3\u30c8\u306e\u898b\u305f\u76ee\u3092\u5909\u3048\u308b\u6307\u5b9a\u3067\u3059\r\n              categories=\"label\", \r\n              title=\"T-SNE 3D demo\")<\/pre>\n<p>[\u51fa\u529b\u7d50\u679c]<\/p>\n<div><img decoding=\"async\" class=\"aligncenter size-large wp-image-82581\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/c0f903d8198b29084bebd51bb27a0f8f-640x451.png\" alt=\"\" width=\"640\" height=\"451\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/c0f903d8198b29084bebd51bb27a0f8f-640x451.png 640w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/c0f903d8198b29084bebd51bb27a0f8f-150x106.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/c0f903d8198b29084bebd51bb27a0f8f-300x211.png 300w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/c0f903d8198b29084bebd51bb27a0f8f-810x571.png 810w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/c0f903d8198b29084bebd51bb27a0f8f-1140x804.png 1140w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/c0f903d8198b29084bebd51bb27a0f8f.png 1288w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/div>\n<p>\u5148\u307b\u3069\u3068\u307b\u307c\u540c\u3058\u6307\u5b9a\u3067\u30013D\u306e\u6563\u5e03\u56f3\u3082\u4f5c\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\uff01<\/p>\n<h3>\u6298\u308c\u7dda\u30b0\u30e9\u30d5<\/h3>\n<p>\u516d\u7a2e\u985e\u306e\u7279\u5fb4\u304c\u3042\u308b\u30c7\u30fc\u30bf\u3092\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u306b\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\">toy1 = pd.DataFrame(np.random.random((100,6)), \r\n                    columns=(\"\u7279\u5fb41\",\"\u7279\u5fb42\",\"\u7279\u5fb43\",\"\u7279\u5fb44\",\"\u7279\u5fb45\",\"\u7279\u5fb46\"))\r\n\r\ntoy1.iplot()<\/pre>\n<p>[\u51fa\u529b\u7d50\u679c]<\/p>\n<div><img decoding=\"async\" class=\"aligncenter size-large wp-image-82582\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/491596a124dfde8460feca2ab3788647-640x451.png\" alt=\"\" width=\"640\" height=\"451\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/491596a124dfde8460feca2ab3788647-640x451.png 640w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/491596a124dfde8460feca2ab3788647-150x106.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/491596a124dfde8460feca2ab3788647-300x211.png 300w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/491596a124dfde8460feca2ab3788647-810x571.png 810w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/491596a124dfde8460feca2ab3788647-1140x804.png 1140w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/491596a124dfde8460feca2ab3788647.png 1288w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/div>\n<p>plotly\u306a\u3089\u3070\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u30b0\u30e9\u30d5\u3092\u64cd\u4f5c\u3067\u304d\u308b\u306e\u3067\u3053\u306e\u3050\u3061\u3083\u3050\u3061\u3083\u306a\u30d7\u30ed\u30c3\u30c8\u3067\u3082\u4e00\u5fdc\u56f0\u308a\u307e\u305b\u3093\u3002\u3067\u3082\u3069\u3046\u305b\u306a\u3089matplotlib\u306esubplot\u307f\u305f\u3044\u306a\u3053\u3068\u304c\u3057\u305f\u3044\u3067\u3059\u306d\u3002<\/p>\n<pre class=\"lang:python decode:true\">toy1.iplot(subplots=True,        # \u30b0\u30e9\u30d5\u3054\u3068\u306b\u5225\u67a0\u3067\u8868\u793a\u3059\u308b\u30aa\u30d7\u30b7\u30e7\u30f3\r\n           subplot_titles=True)  # \u30b0\u30e9\u30d5\u3054\u3068\u306b\u540d\u524d\u3092\u8868\u793a\u3059\u308b\u30aa\u30d7\u30b7\u30e7\u30f3<\/pre>\n<p>[\u51fa\u529b\u7d50\u679c]<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-large wp-image-82583\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/57654a5da28628886823bfe04291d8e3-640x451.png\" alt=\"\" width=\"640\" height=\"451\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/57654a5da28628886823bfe04291d8e3-640x451.png 640w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/57654a5da28628886823bfe04291d8e3-150x106.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/57654a5da28628886823bfe04291d8e3-300x211.png 300w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/57654a5da28628886823bfe04291d8e3-810x571.png 810w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/57654a5da28628886823bfe04291d8e3-1140x804.png 1140w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/57654a5da28628886823bfe04291d8e3.png 1288w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/p>\n<h3>\u3082\u3063\u3068\u8272\u3093\u306a\u30b0\u30e9\u30d5\u304c\u4f5c\u308a\u305f\u3044<\/h3>\n<p>Plotly\u3092\u4f7f\u3048\u3070\u3001\u3082\u3063\u3068\u69d8\u3005\u306a\u7a2e\u985e\u306e\u30b0\u30e9\u30d5\u304c\u4f5c\u308c\u307e\u3059\u3002\u516c\u5f0f\u30da\u30fc\u30b8\u306b\u30ae\u30e3\u30e9\u30ea\u30fc\u304c\u3042\u308a\u307e\u3059\u306e\u3067\u3001\u305d\u3053\u3067\u4f5c\u308c\u308b\u30b0\u30e9\u30d5\u3092\u78ba\u8a8d\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<p><a href=\"https:\/\/plot.ly\/python\/\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter size-large wp-image-61802\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly5-640x93.png\" alt=\"plotly5\" width=\"640\" height=\"93\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly5-640x93.png 640w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly5-150x22.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly5-300x43.png 300w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly5-810x117.png 810w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly5.png 1132w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p><div class=\"img-caption\">\u5f15\u7528\u5143\uff1a Plotly Python Library\u3000<a href=\"https:\/\/plot.ly\/python\/\">https:\/\/plot.ly\/python\/<\/div><\/a><\/p>\n<p>\u307e\u305f\u3001cufflinks\u304b\u3089\u4f5c\u308c\u308b\u30b0\u30e9\u30d5\u306e\u7d39\u4ecb\u30da\u30fc\u30b8\u3082\u3042\u308a\u307e\u3059\u3002\u3053\u3061\u3089\u3082\u898b\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<p><a href=\"https:\/\/plot.ly\/ipython-notebooks\/cufflinks\/\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter size-large wp-image-61796\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly2-640x140.png\" alt=\"plotly2\" width=\"640\" height=\"140\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly2-640x140.png 640w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly2-150x33.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly2-300x66.png 300w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/07\/plotly2.png 753w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p><div class=\"img-caption\">\u5f15\u7528\u5143\uff1aCufflinks in Python\u3000<a href=\"https:\/\/plot.ly\/ipython-notebooks\/cufflinks\/\">https:\/\/plot.ly\/ipython-notebooks\/cufflinks\/<\/div><\/a><\/p>\n<h2>\u307e\u3068\u3081<\/h2>\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001<br \/>\n<div class=\"box01\"><\/p>\n<ul>\n<li><b>Python\u304b\u3089javascript\u3092\u4f7f\u3063\u305f\u30b0\u30e9\u30d5\u304c\u4f5c\u308c\u308bPlotly<\/b><\/li>\n<li><b>\u305d\u308c\u3092DataFrame\u304b\u3089\u7c21\u5358\u306b\u4f7f\u3046\u305f\u3081\u306ecufflinks<\/b><\/li>\n<\/ul>\n<\/div>\n<p>\u306e\u7d39\u4ecb\u3092\u3057\u307e\u3057\u305f\u3002\u5bfe\u8a71\u7684\u306b\u64cd\u4f5c\u3067\u304d\u308b\u30b0\u30e9\u30d5\u306f\u30a4\u30f3\u30d1\u30af\u30c8\u304c\u3042\u3063\u3066\u9762\u767d\u3044\u3067\u3059\u3088\u306d\u3002\u30e2\u30c0\u30f3\u306a\u53ef\u8996\u5316\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u662f\u975e\u6311\u6226\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u52d5\u304f\u30b0\u30e9\u30d5\u306e\u4f5c\u308a\u65b9\u3092\u7d39\u4ecb\u3057\u307e\u3059\uff01\u3000\u307e\u305a\u306f\u5b9f\u969b\u306b\u4f5c\u3063\u305f\u30b0\u30e9\u30d5\u3092\u5fa1\u89a7\u304f\u3060\u3055\u3044\u3002 \u3053\u3053\u3067\u306fgif\u3067\u304a\u898b\u305b\u3057\u307e\u3057\u305f\u304c\u3001\u5b9f\u969b\u306b\u306fWeb\u30d6\u30e9\u30a6\u30b6\u304b\u3089\u30b0\u30ea\u30b0\u30ea\u3068\u52d5\u304b\u305b\u308b\u30b0\u30e9\u30d5\u3067\u3059\u3002\u3053\u306e\u30b0\u30e9\u30d5\u306fPython\u306ePlotly\u3068\u3044 [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":61808,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"swell_btn_cv_data":"","footnotes":""},"categories":[1],"tags":[1281,49],"class_list":["post-61788","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-others","tag-ai","tag-python"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ 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