{"id":50757,"date":"2021-09-18T00:00:00","date_gmt":"2021-09-18T07:00:00","guid":{"rendered":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-plotly-and-griddb\/"},"modified":"2025-11-14T07:54:49","modified_gmt":"2025-11-14T15:54:49","slug":"data-visualization-with-python-plotly-and-griddb","status":"publish","type":"post","link":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-plotly-and-griddb\/","title":{"rendered":"Python Plotly\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u8996\u899a\u5316"},"content":{"rendered":"<h2>\u306f\u3058\u3081\u306b<\/h2>\n<p>\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u304c\u767a\u9054\u3057\u305f\u73fe\u4ee3\u3067\u306f\u3001\u751f\u6210\u30fb\u53ce\u96c6\u3055\u308c\u308b\u30c7\u30fc\u30bf\u306e\u91cf\u306f\u81a8\u5927\u306a\u3082\u306e\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u3053\u308c\u3089\u306e\u30c7\u30fc\u30bf\u306f\u3001\u9069\u5207\u306a\u5206\u6790\u306b\u3088\u3063\u3066\u30c7\u30fc\u30bf\u304b\u3089\u60c5\u5831\u3078\u3068\u5909\u63db\u3055\u308c\u306a\u3051\u308c\u3070\u4fa1\u5024\u304c\u3042\u308a\u307e\u305b\u3093\u3002\u3055\u3089\u306b\u3001\u5206\u6790\u304b\u3089\u5f97\u3089\u308c\u305f\u6d1e\u5bdf\u306f\u3001\u6b63\u3057\u304f\u610f\u601d\u6c7a\u5b9a\u8005\u306b\u4f1d\u3048\u3089\u308c\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u81a8\u5927\u306a\u91cf\u306e\u30c7\u30fc\u30bf\u3092\u4e00\u76ee\u3067\u7406\u89e3\u3057\u3001\u7d50\u679c\u7684\u306b\u5c06\u6765\u306b\u5411\u3051\u305f\u52b9\u679c\u7684\u306a\u610f\u601d\u6c7a\u5b9a\u306b\u5f79\u7acb\u3064\u512a\u308c\u305f\u8996\u899a\u5316\u306f\u3001\u30c7\u30fc\u30bf\u5206\u6790\u306b\u4e0d\u53ef\u6b20\u306a\u8981\u7d20\u3068\u306a\u308a\u307e\u3059\u3002\u305d\u3053\u3067\u3001\u3053\u306e\u30d6\u30ed\u30b0\u3067\u306f\u3001GridDB\u306b\u683c\u7d0d\u3055\u308c\u305f\u30c7\u30fc\u30bf\u306b\u30a2\u30af\u30bb\u30b9\u3057\u305f\u5f8c\u3001Plotly\u3067\u9ad8\u54c1\u8cea\u306a\u8996\u899a\u5316\u3092\u884c\u3046\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<h2>Python\u3092\u4f7f\u3063\u3066GridDB\u3068\u63a5\u7d9a\u3059\u308b<\/h2>\n<p>GridDB\u306f\u3001\u6771\u829d\u304c\u958b\u767a\u3057\u305f\u30b9\u30b1\u30fc\u30e9\u30d6\u30eb\u3067\u4fe1\u983c\u6027\u306e\u9ad8\u3044NoSQL\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3067\u3059\u3002GridDB\u306f\u3001<a href=\"https:\/\/griddb.net\/ja\/\">\u3053\u3061\u3089<\/a>\u304b\u3089\u7121\u6599\u3067\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3067\u304d\u307e\u3059\u3002\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f\u3089\u3001griddb_python\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066Python\u3067\u64cd\u4f5c\u3057\u307e\u3059\u3002\u3053\u306e\u30d6\u30ed\u30b0\u306e\u305f\u3081\u306bGridDB\u304b\u3089\u30c7\u30fc\u30bf\u3092\u633f\u5165\u3057\u305f\u308a\u8aad\u307f\u51fa\u3057\u305f\u308a\u3059\u308bPython\u306e\u5b8c\u5168\u306a\u30b3\u30fc\u30c9\u306f<a href=\"https:\/\/github.com\/Guluna\/Data-Visualization\/tree\/master\/GridDB\">\u3053\u3061\u3089<\/a>\u306b\u3042\u308a\u307e\u3059\u3002<\/p>\n<h2>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6982\u8981<\/h2>\n<p>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30aa\u30ea\u30b8\u30ca\u30eb\u30bd\u30fc\u30b9(ted_main.csv)\u306f<a href=\"https:\/\/www.kaggle.com\/rounakbanik\/ted-talks\">\u3053\u3061\u3089<\/a>\u306b\u3042\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f\u5168\u90e8\u306717\u306e\u30ab\u30e9\u30e0\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u3053\u306e\u30d6\u30ed\u30b0\u3067\u306f\u4ee5\u4e0b\u306e6\u3064\u306e\u7279\u5fb4\u3060\u3051\u306b\u6ce8\u76ee\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<ul>\n<li><strong>Duration<\/strong> \u2013 \u8b1b\u6f14\u306e\u6642\u9593\uff08\u79d2\uff09<\/li>\n<li><strong>Event<\/strong> \u2013 \u8b1b\u6f14\u304c\u884c\u308f\u308c\u305fTED\/TEDx\u30a4\u30d9\u30f3\u30c8<\/li>\n<li><strong>Views<\/strong> \u2013 \u8b1b\u6f14\u304c\u95b2\u89a7\u3055\u308c\u305f\u5408\u8a08\u56de\u6570<\/li>\n<li><strong>Comments<\/strong> \u2013 \u8b1b\u6f14\u306b\u4ed8\u3044\u305f\u7b2c\u4e00\u968e\u5c64\u306e\u30b3\u30e1\u30f3\u30c8\u6570<\/li>\n<li><strong>Num_speaker<\/strong> \u2013 \u8b1b\u6f14\u306b\u542b\u307e\u308c\u308b\u8a71\u3057\u624b\u306e\u6570<\/li>\n<li><strong>Published_date<\/strong> \u2013 \u8b1b\u6f14\u304c\u516c\u958b\u3055\u308c\u305fUNIX\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7<\/li>\n<\/ul>\n<p>\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u53d6\u3063\u305f\u3044\u304f\u3064\u304b\u306e\u30b5\u30f3\u30d7\u30eb\u884c\u306e\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8\u3092\u4ee5\u4e0b\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/i.ibb.co\/jV7nd8Z\/head.png\" alt=\"head rows\" \/><\/p>\n<p>\u307e\u305a\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u6b20\u640d\u5024\u304c\u306a\u3044\u304b\u3069\u3046\u304b\u3001\u5b9a\u6027\u7684\u306a\u30c1\u30a7\u30c3\u30af\u3092\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u4e0b\u306e\u56f3\u3092\u898b\u308b\u3068\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f\u6b20\u640d\u5024\u3084NULL\u5024\u304c\u306a\u3044\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/i.ibb.co\/BsSfFjT\/Relevant-columns.png\" alt=\"Relevant Columns\" \/><\/p>\n<p>\u8996\u899a\u5316\u306e\u6bb5\u968e\u306b\u9032\u3080\u524d\u306b\u3001\u4ee5\u4e0b\u306e\u5217\u306e\u305f\u3081\u306b\u3044\u304f\u3064\u304b\u306e\u524d\u51e6\u7406\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n<h3>\u300cDuration\u300d\u5217\u306e\u5024\u3092\u79d2\u304b\u3089\u5206\u306b\u5909\u63db\u3059\u308b<\/h3>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">    data_relevant['duration_minutes'] = data_relevant['duration']\/60<\/code><\/pre>\n<\/div>\n<p>\u4e0b\u306e\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8\u304b\u3089\u3001\u6700\u3082\u77ed\u3044\u30b9\u30d4\u30fc\u30c1\u306f\u308f\u305a\u304b2.25\u5206\u3067\u3001\u6700\u3082\u9577\u3044\u30b9\u30d4\u30fc\u30c1\u306f87\u5206\u3067\u3042\u3063\u305f\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002\u5e73\u5747\u30b9\u30d4\u30fc\u30c1\u6642\u9593\u306f13.77\u5206\u3067\u3059\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/i.ibb.co\/xD5ZVsN\/duration.png\" alt=\"Duration\" \/><\/p>\n<h3>Published_date\u30ab\u30e9\u30e0\u304b\u3089Year\u306e\u5024\u3092\u62bd\u51fa\u3059\u308b<\/h3>\n<p>Published_date\u30ab\u30e9\u30e0\u306fUnix\u306e\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u5f62\u5f0f\u3067\u3042\u308b\u305f\u3081\u3001\u307e\u305apandas\u306e\u65e5-\u6708-\u5e74\u5f62\u5f0f\u306b\u5909\u63db\u3057\u3001\u5e74\u306e\u5024\u3060\u3051\u3092\u62bd\u51fa\u3057\u3066year_released\u3068\u3044\u3046\u65b0\u3057\u3044\u30ab\u30e9\u30e0\u306b\u4fdd\u5b58\u3057\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">    data_relevant['date_normal'] = \n    data_relevant['published_date'].apply(lambda x: \n    datetime.datetime.fromtimestamp(int(x)).strftime('%d-%m-%Y'))<\/code><\/pre>\n<\/div>\n<p>\u305d\u308c\u3067\u306f\u65e9\u901f\u3001plotly\u3067\u8996\u899a\u5316\u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u3063\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<h2>Plotly\u3068\u306f\u4f55\u304b\uff1f<\/h2>\n<p>Plotly for python\u306f\u3001\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u3067\u30d5\u30ea\u30fc\u306e\u30c7\u30fc\u30bf\u53ef\u8996\u5316\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u6700\u5c0f\u9650\u306e\u30b3\u30fc\u30c9\u3067\u3001\u57fa\u672c\u7684\u306a\u30c1\u30e3\u30fc\u30c8\u304b\u3089\u7d71\u8a08\u7684\u306a\u30c1\u30e3\u30fc\u30c8\u3001\u91d1\u878d\u30c1\u30e3\u30fc\u30c8\u3001\u5730\u7406\u7684\u306a\u5730\u56f3\u306e\u30c1\u30e3\u30fc\u30c8\u307e\u3067\u3001\u5e45\u5e83\u3044\u7a2e\u985e\u306e\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30c1\u30e3\u30fc\u30c8\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u6b21\u306e2\u3064\u306e\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9\u306e\u3044\u305a\u308c\u304b\u3092\u4f7f\u3063\u3066plotly\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u547c\u3073\u51fa\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u30021\u3064\u3081\u306ePlotly Express\u306f\u975e\u5e38\u306b\u5c11\u306a\u3044\u30b3\u30fc\u30c9\u884c\u3067\u5f37\u529b\u306a\u30b0\u30e9\u30d5\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306e\u9ad8\u30ec\u30d9\u30ebAPI (2019\u5e74\u30ea\u30ea\u30fc\u30b9) \u3067\u3001 \u3082\u30461\u3064\u306ePlotly Graph Object\u306f\u3088\u308a\u591a\u304f\u306e\u30b0\u30e9\u30d5\u306e\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u306e\u305f\u3081\u306e\u4f4e\u30ec\u30d9\u30ebAPI\u3067\u3059\u3002Plotly Express\u306f\u3001\u5b9f\u969b\u306b\u306fPlotly Graph Objects\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u9ad8\u30ec\u30d9\u30eb\u30e9\u30c3\u30d1\u30fc\u3067\u3059\u3002<\/p>\n<p>\u3053\u308c\u3089\u3092python\u306e\u30b3\u30fc\u30c9\u3067px\u3068\u3057\u3066\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u3068\u3001\u6b21\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">    import plotly.express as px\n    import plotly.graph_objects as go<\/code><\/pre>\n<\/div>\n<p>Plotly\u3092\u4f7f\u7528\u3059\u308b\u969b\u306e\u6838\u3068\u306a\u308b\u30b3\u30f3\u30bb\u30d7\u30c8\u306f\u3001\u56f3\u5f62\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3067\u3059\u3002\u56f3\u5f62\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u306f\u3001\u30c1\u30e3\u30fc\u30c8\u306e\u69cb\u6210\u3092\u6c7a\u5b9a\u3059\u308b\u3059\u3079\u3066\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u304c\u683c\u7d0d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h2>Plotly\u3067\u8996\u899a\u5316\u3057\u3066\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u5206\u6790\u3059\u308b<\/h2>\n<h3>\u57fa\u672c\u7684\u306a\u30c1\u30e3\u30fc\u30c8<\/h3>\n<p>\u6bce\u5e74\u958b\u50ac\u3055\u308c\u3066\u3044\u308bTED\u30a4\u30d9\u30f3\u30c8\u306e\u6570\u304c\u3001\u6642\u9593\u306e\u7d4c\u904e\u3068\u3068\u3082\u306b\u5897\u3048\u3066\u3044\u308b\u306e\u304b\u6e1b\u3063\u3066\u3044\u308b\u306e\u304b\u3092\u8abf\u3079\u305f\u3044\u3068\u3057\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u306b\u306f\u3069\u3046\u3059\u308c\u3070\u3044\u3044\u306e\u3067\u3057\u3087\u3046\u304b\u3002<\/p>\n<p>px.line()\u95a2\u6570\u3092\u547c\u3073\u51fa\u3057\u3066\u3001X\u8ef8\u306b\u5e74\u3001Y\u8ef8\u306b\u30a4\u30d9\u30f3\u30c8\u306e\u7dcf\u958b\u50ac\u6570\u3092\u3068\u3063\u305f\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u63cf\u304f\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u95a2\u6570\u304c\u8fd4\u3059\u30a2\u30a4\u30c6\u30e0\u306fFigure\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3067\u3059\u3002\u6b21\u306b\u3001\u3053\u306eFigure\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306eupdate_layout()\u3092\u547c\u3073\u51fa\u3057\u3066\u3001\u3053\u306e\u30b0\u30e9\u30d5\u306b\u30ab\u30b9\u30bf\u30e0\u30bf\u30a4\u30c8\u30eb\u3092\u8ffd\u52a0\u3057\u3001\u4e2d\u592e\u63c3\u3048\u306b\u3057\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u3001plotly_dark\u306e\u3088\u3046\u306b\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3092\u9078\u629e\u3057\u3066\u80cc\u666f\u8272\u3092\u5909\u66f4\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u6700\u5f8c\u306b\u3001Figure \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e show() \u3092\u547c\u3073\u51fa\u3057\u3066\u3001\u3053\u306e\u30c1\u30e3\u30fc\u30c8\u3092\u753b\u9762\u306b\u8868\u793a\u3057\u307e\u3059\u3002\u3053\u306e\u7dda\u4e0a\u306e\u7279\u5b9a\u306e\u5834\u6240\u306b\u30ab\u30fc\u30bd\u30eb\u3092\u7f6e\u304f\u3068\u3001X\u8ef8\u3068Y\u8ef8\u306e\u8a73\u7d30\u3092\u6b63\u78ba\u306b\u77e5\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">    line_plot = px.line(year_events, x='year_released', y='event', labels=dict(year_released=\"Year\", event=\"Events Held\"))\n    line_plot.update_layout(title_text='TED Events held per year (2006 - 2017)', title_x=0.5, template='plotly_dark')\n    line_plot.update_traces(mode='lines+markers')<\/code><\/pre>\n<\/div>\n<div>\n  <a href=\"https:\/\/plotly.com\/~amnagul\/2\/?share_key=nOj3wdiZeAAF2jKGVeieer\" target=\"_blank\" title=\"Line Plot\" style=\"display: block; text-align: center;\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/plotly.com\/~amnagul\/2.png?share_key=nOj3wdiZeAAF2jKGVeieer\" alt=\"Line Plot\" style=\"max-width: 100%;width: 600px;\"  width=\"600\" onerror=\"this.onerror=null;this.src='https:\/\/plotly.com\/404.png';\" \/><\/a> <script data-plotly=\"amnagul:2\" sharekey-plotly=\"nOj3wdiZeAAF2jKGVeieer\" src=\"https:\/\/plotly.com\/embed.js\" async><\/script>\n<\/div>\n<p>\u4e0a\u8a18\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u7b54\u3048\u306b\u623b\u308b\u3068\u3001\u305f\u3063\u305f3\u884c\u306e\u30b3\u30fc\u30c9\u3067\u3001\u30a4\u30d9\u30f3\u30c8\u958b\u50ac\u6570\u304c2006\u5e74\u304b\u30892012\u5e74\u307e\u3067\u306f\u5897\u52a0\u50be\u5411\u306b\u3042\u308a\u30012012\u5e74\u304b\u30892017\u5e74\u307e\u3067\u306f\u6e1b\u5c11\u50be\u5411\u306b\u3042\u308b\u3053\u3068\u3092\u793a\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n<p>\u6b21\u306b\u3001\u6700\u3082\u8996\u8074\u3055\u308c\u305fTED\u30a4\u30d9\u30f3\u30c8\u306e\u30c8\u30c3\u30d710\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u4e0b\u306e\u68d2\u30b0\u30e9\u30d5\u306f\u3001\u3053\u308c\u3089\u306e\u60c5\u5831\u3092\u6574\u7136\u3068\u7c21\u6f54\u306b\u8868\u3057\u3066\u3044\u307e\u3059\u30022013\u5e74\u306eTED\u306f\u30011\u51047730\u4e07\u56de\u306e\u518d\u751f\u56de\u6570\u3092\u8a18\u9332\u3057\u3001\u6700\u3082\u4eba\u6c17\u306e\u3042\u308b\u30a4\u30d9\u30f3\u30c8\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<div>\n  <a href=\"https:\/\/plotly.com\/~amnagul\/6\/?share_key=ogUJLMqH8KPON9XfZTj7qz\" target=\"_blank\" title=\"Bar Plot most viewed events\" style=\"display: block; text-align: center;\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/plotly.com\/~amnagul\/6.png?share_key=ogUJLMqH8KPON9XfZTj7qz\" alt=\"Bar Plot most viewed events\" style=\"max-width: 100%;width: 600px;\"  width=\"600\" onerror=\"this.onerror=null;this.src='https:\/\/plotly.com\/404.png';\" \/><\/a> <script data-plotly=\"amnagul:6\" sharekey-plotly=\"ogUJLMqH8KPON9XfZTj7qz\" src=\"https:\/\/plotly.com\/embed.js\" async><\/script>\n<\/div>\n<p>\u307e\u305f\u3001\u540c\u3058\u60c5\u5831\u3092\u6a2a\u68d2\u30b0\u30e9\u30d5\u3067\u8868\u793a\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n<hr \/>\n<hr \/>\n<p>\u3059\u3079\u3066\u306e\u5e74\u306e\u30c7\u30fc\u30bf\u3092\u898b\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u3042\u308b\u5e74\uff082012\u5e74\u3068\u3057\u307e\u3059\uff09\u306e\u30c7\u30fc\u30bf\u3092\u6398\u308a\u4e0b\u3052\u3066\u3001\u6700\u3082\u8996\u8074\u3055\u308c\u305f\u30a4\u30d9\u30f3\u30c8\u306e\u30c8\u30c3\u30d75\u306e\u540d\u524d\u3068\u5272\u5408\u3092\u3001\u4ee5\u4e0b\u306e\u30c9\u30fc\u30ca\u30c4\u30c1\u30e3\u30fc\u30c8\u306e\u5f62\u3067\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<hr \/>\n<hr \/>\n<h3>\u7d71\u8a08\u30c1\u30e3\u30fc\u30c8<\/h3>\n<p>\u3055\u3066\u3001plotly\u306e\u57fa\u672c\u7684\u306a\u30c1\u30e3\u30fc\u30c8\u3092\u7406\u89e3\u3057\u305f\u3068\u3053\u308d\u3067\u3001\u7d71\u8a08\u30c1\u30e3\u30fc\u30c8\u306e\u30ec\u30f3\u30ba\u3092\u901a\u3057\u3066\u30c7\u30fc\u30bf\u3092\u53ef\u8996\u5316\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<p>\u307e\u305a\u3001\u6570\u5024\u5316\u3057\u305f\u30b3\u30e9\u30e0\u306e\u95b2\u89a7\u6570\u3068\u30b3\u30e1\u30f3\u30c8\u6570\u306e\u9593\u306b\u95a2\u4fc2\u304c\u3042\u308b\u304b\u3069\u3046\u304b\u3092\u8abf\u3079\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5168\u4f53\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n<div align=\"center\">\n  <iframe width=\"600\" height=\"400\" frameborder=\"0\" scrolling=\"no\" src=\"https:\/\/chart-studio.plotly.com\/~amnagul\/12.embed\"><\/iframe>\n<\/div>\n<p>\u30c8\u30ec\u30f3\u30c9\u30e9\u30a4\u30f3\u3092\u63cf\u3051\u3070\u3001\u5927\u307e\u304b\u306a\u65b9\u5411\u6027\u3092\u77e5\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u4e0a\u56f3\u306e\u30c8\u30ec\u30f3\u30c9\u30e9\u30a4\u30f3\u306f\u6b63\u306e\u50be\u304d\u3092\u6301\u3063\u3066\u3044\u308b\u306e\u3067\u3001\u4e00\u822c\u7684\u306b\u306f\u3001\u6700\u3082\u8996\u8074\u6570\u304c\u591a\u3044\u8b1b\u6f14\u306f\u6700\u3082\u591a\u304f\u306e\u30b3\u30e1\u30f3\u30c8\u304c\u4ed8\u3044\u305f\u8b1b\u6f14\u3067\u3042\u308b\u3068\u8a00\u3048\u307e\u3059\u3002<\/p>\n<div align=\"center\">\n  <iframe width=\"600\" height=\"400\" frameborder=\"0\" scrolling=\"no\" src=\"https:\/\/chart-studio.plotly.com\/~amnagul\/14.embed\"><\/iframe>\n<\/div>\n<p>\u307e\u305f\u30013\u3064\u76ee\u306e\u6b21\u5143\uff08duration_minutes\uff09\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u3067\u3001\u5404\u8b1b\u6f14\u306e\u9577\u3055\u3092\u540c\u3058\u6563\u5e03\u56f3\u306b\u8272\u5206\u3051\u3057\u3066\u8868\u793a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<div align=\"center\">\n  <iframe width=\"600\" height=\"400\" frameborder=\"0\" scrolling=\"no\" src=\"https:\/\/chart-studio.plotly.com\/~amnagul\/16.embed\"><\/iframe>\n<\/div>\n<p>\u3055\u3089\u306b\u3001size\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u3067\u3001\u3053\u306e\u6563\u5e03\u56f3\u3092\u30d0\u30d6\u30eb\u56f3\u306b\u7d20\u65e9\u304f\u5909\u63db\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u3067\u3001\u30d0\u30d6\u30eb\u306e\u5927\u304d\u3055\u306f\u3001\u305d\u306e\u8b1b\u6f14\u306e\u8a71\u3057\u624b\u306e\u6570\u306b\u6bd4\u4f8b\u3057\u307e\u3059\u3002<\/p>\n<div align=\"center\">\n  <iframe width=\"600\" height=\"400\" frameborder=\"0\" scrolling=\"no\" src=\"https:\/\/chart-studio.plotly.com\/~amnagul\/18.embed\"><\/iframe>\n<\/div>\n<p>\u307e\u305f\u3001\u7d71\u8a08\u56f3\u8868\u306e\u4e2d\u3067\u975e\u5e38\u306b\u4e00\u822c\u7684\u306a\u306e\u304c\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u3042\u308b\u7279\u5fb4\u306e\u5024\u306e\u5206\u5e03\u3092\u793a\u3059\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3067\u3059\u3002<\/p>\n<div align=\"center\">\n  <iframe width=\"600\" height=\"400\" frameborder=\"0\" scrolling=\"no\" src=\"https:\/\/chart-studio.plotly.com\/~amnagul\/20.embed\"><\/iframe>\n<\/div>\n<p>\u307e\u305f\u3001\u975e\u5e38\u306b\u4fbf\u5229\u306a\u7d71\u8a08\u30b0\u30e9\u30d5\u3068\u3057\u3066\u3001\u6700\u5c0f\u5024\u3001\u6700\u5927\u5024\u3001\u4e2d\u592e\u5024\u3001\u56db\u5206\u4f4d\u5024\u3092\u63cf\u3044\u305f\u30dc\u30c3\u30af\u30b9\u30d7\u30ed\u30c3\u30c8\u304c\u3042\u308a\u307e\u3059\uff08\u4e0b\u56f3\u53c2\u7167\uff09\u3002<\/p>\n<div align=\"center\">\n  <iframe width=\"600\" height=\"400\" frameborder=\"0\" scrolling=\"no\" src=\"https:\/\/chart-studio.plotly.com\/~amnagul\/22.embed\"><\/iframe>\n<\/div>\n<h3 id=\"animation\">\u30a2\u30cb\u30e1\u30fc\u30b7\u30e7\u30f3<\/h3>\n<p>\u307e\u305f\u3001Plotly\u306fanimation_frame\u5f15\u6570\u306b\u3088\u3063\u3066\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30a2\u30cb\u30e1\u30fc\u30b7\u30e7\u30f3\u56f3\u5f62\u306b\u3082\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<div align=\"center\">\n  <iframe width=\"600\" height=\"400\" frameborder=\"0\" scrolling=\"no\" src=\"https:\/\/chart-studio.plotly.com\/~amnagul\/24.embed\"><\/iframe>\n<\/div>\n<h3 id=\"3d-plot\">3D\u30d7\u30ed\u30c3\u30c8<\/h3>\n<p>\u305f\u3063\u305f1\u884c\u306e\u30b3\u30fc\u30c9\u3067\u3001\u3053\u306e\u3088\u3046\u306a3\u6b21\u5143\u306e\u6563\u5e03\u56f3\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u6563\u5e03\u56f3\u306f\u3001\u30ab\u30fc\u30bd\u30eb\u3092\u4f7f\u3063\u3066\u79fb\u52d5\u3057\u305f\u308a\u30c9\u30e9\u30c3\u30b0\u3057\u305f\u308a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<div align=\"center\">\n  <iframe width=\"600\" height=\"400\" frameborder=\"0\" scrolling=\"no\" src=\"https:\/\/chart-studio.plotly.com\/~amnagul\/26.embed\"><\/iframe>\n<\/div>\n<h2>\u307e\u3068\u3081<\/h2>\n<p>\u3053\u306e\u3088\u3046\u306b\u3001 koplotly\u3092\u4f7f\u3048\u3070\u3001\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30d7\u30ed\u30c3\u30c8\u3084\u30a2\u30cb\u30e1\u30fc\u30b7\u30e7\u30f3\u3092\u3042\u3063\u3068\u3044\u3046\u9593\u306b\u4f5c\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3053\u3068\u304c\u304a\u5206\u304b\u308a\u3044\u305f\u3060\u3051\u305f\u3068\u601d\u3044\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u3053\u3053\u3067\u7d39\u4ecb\u3057\u305f\u306e\u306f\u3001plotly\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u5229\u7528\u3067\u304d\u308b\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u306e\u307b\u3093\u306e\u4e00\u90e8\u3067\u3042\u308b\u3053\u3068\u3092\u899a\u3048\u3066\u304a\u3044\u3066\u304f\u3060\u3055\u3044\u3002\u4ed6\u306b\u3082\u305f\u304f\u3055\u3093\u306e\u30aa\u30d7\u30b7\u30e7\u30f3\u304c\u7528\u610f\u3055\u308c\u3066\u3044\u307e\u3059\u306e\u3067\u3001\u8a66\u3057\u306b\u4f7f\u3063\u3066\u3001\u91cd\u8981\u306a\u8b58\u898b\u3092\u52b9\u679c\u7684\u306b\u8996\u8074\u8005\u306b\u4f1d\u3048\u308b\u305f\u3081\u306e\u7d20\u6674\u3089\u3057\u3044\u8996\u899a\u5316\u3092\u4f5c\u6210\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u306f\u3058\u3081\u306b \u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u304c\u767a\u9054\u3057\u305f\u73fe\u4ee3\u3067\u306f\u3001\u751f\u6210\u30fb\u53ce\u96c6\u3055\u308c\u308b\u30c7\u30fc\u30bf\u306e\u91cf\u306f\u81a8\u5927\u306a\u3082\u306e\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u3053\u308c\u3089\u306e\u30c7\u30fc\u30bf\u306f\u3001\u9069\u5207\u306a\u5206\u6790\u306b\u3088\u3063\u3066\u30c7\u30fc\u30bf\u304b\u3089\u60c5\u5831\u3078\u3068\u5909\u63db\u3055\u308c\u306a\u3051\u308c\u3070\u4fa1\u5024\u304c\u3042\u308a\u307e\u305b\u3093\u3002\u3055\u3089\u306b\u3001\u5206\u6790\u304b\u3089\u5f97\u3089\u308c\u305f\u6d1e\u5bdf [&hellip;]<\/p>\n","protected":false},"author":41,"featured_media":50210,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1005],"tags":[],"class_list":["post-50757","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1005"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python Plotly\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u8996\u899a\u5316 | GridDB: Open Source Time Series Database for IoT<\/title>\n<meta name=\"description\" content=\"\u306f\u3058\u3081\u306b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/griddb.net\/ja\/\u672a\u5206\u985e\/data-visualization-with-python-plotly-and-griddb\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Plotly\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u8996\u899a\u5316 | GridDB: Open Source Time Series Database for IoT\" \/>\n<meta property=\"og:description\" content=\"\u306f\u3058\u3081\u306b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/griddb.net\/ja\/\u672a\u5206\u985e\/data-visualization-with-python-plotly-and-griddb\/\" \/>\n<meta property=\"og:site_name\" content=\"GridDB: Open Source Time Series Database for IoT\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/griddbcommunity\/\" \/>\n<meta property=\"article:published_time\" content=\"2021-09-18T07:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-14T15:54:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/griddb.net\/wp-content\/uploads\/2021\/09\/Screenshot_111.png\" \/>\n\t<meta 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