{"id":50714,"date":"2020-11-13T00:00:00","date_gmt":"2020-11-13T08:00:00","guid":{"rendered":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/"},"modified":"2026-03-30T13:48:24","modified_gmt":"2026-03-30T20:48:24","slug":"data-visualization-with-python-matplotlib-and-griddb","status":"publish","type":"post","link":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/","title":{"rendered":"Python Matplotlib\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316"},"content":{"rendered":"<h2>\u306f\u3058\u3081\u306b<\/h2>\n<p><a href=\"#source-code\">\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u304b\u3089<\/a><\/p>\n<p>\u30c7\u30fc\u30bf\u3068\u306f\u4e00\u822c\u7684\u306b\u5927\u91cf\u306e\u6570\u5024\u306e\u96c6\u307e\u308a\u3067\u3042\u308a\u3001\u5c02\u9580\u5bb6\u3067\u306a\u3044\u4eba\u306b\u3068\u3063\u3066\u306f\u53c2\u8003\u306b\u306a\u308b\u3068\u3044\u3046\u3088\u308a\u3082\u6df7\u4e71\u3055\u305b\u3089\u308c\u308b\u3082\u306e\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306e\u51fa\u73fe\u306b\u3088\u308a\u3001\u5c02\u9580\u5bb6\u3067\u3055\u3048\u30c7\u30fc\u30bf\u306e\u5206\u6790\u306b\u82e6\u52b4\u3057\u3066\u3044\u307e\u3059\u3002\u305d\u3053\u3067\u53ef\u8996\u5316\u306e\u51fa\u756a\u3067\u3059\u3002\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316\u3068\u306f\u3001\u56f3\u8868\u3092\u4f7f\u3063\u3066\u60c5\u5831\u3092\u8996\u899a\u7684\u306b\u308f\u304b\u308a\u3084\u3059\u304f\u8868\u3057\u305f\u3082\u306e\u3067\u3059\u3002\u30c1\u30e3\u30fc\u30c8\u3001\u30b0\u30e9\u30d5\u3001\u30de\u30c3\u30d7\u306a\u3069\u306e\u8996\u899a\u7684\u8981\u7d20\u304c\u3001\u30c7\u30fc\u30bf\u306e\u30c8\u30ec\u30f3\u30c9\u3092\u7406\u89e3\u3057\u3066\u30c7\u30fc\u30bf\u4e3b\u5c0e\u578b\u306e\u610f\u601d\u6c7a\u5b9a\u3092\u3059\u308b\u4e3b\u8981\u306a\u9375\u3068\u306a\u308a\u307e\u3059\u3002\u4e0a\u624b\u306b\u53ef\u8996\u5316\u3059\u308b\u3053\u3068\u3067\u60c5\u5831\u3092\u6700\u3082\u7684\u78ba\u306b\u4f1d\u3048\u3089\u308c\u308b\u3068\u3044\u3046\u3053\u3068\u304c\u5f80\u3005\u306b\u3057\u3066\u3042\u308a\u307e\u3059\u3002\u300c\u767e\u805e\u306f\u4e00\u898b\u306b\u3057\u304b\u305a\u300d\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001Python\u3068GridDB\u3092\u4f7f\u3063\u3066\u53ef\u8996\u5316\u3059\u308b\u969b\u306e\u91cd\u8981\u306a\u8981\u7d20\u3092\u3044\u304f\u3064\u304b\u53d6\u308a\u4e0a\u3052\u307e\u3059\u3002<\/p>\n<p>\u53ef\u8996\u5316\u3059\u308b\u6642\u306f\u3001\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u6271\u3044\u3084\u3059\u3044\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u610f\u3057\u3066\u304a\u304f\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002\u305d\u3053\u3067GridDB\u306e\u51fa\u756a\u3067\u3059\u3002GridDB\u306f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3067\u3001IoT\u3068\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306b\u6700\u9069\u5316\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u9ad8\u3044\u62e1\u5f35\u6027\u3068\u4fe1\u983c\u6027\u3092\u5099\u3048\u3001\u9ad8\u3044\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u4fdd\u8a3c\u3057\u3001IoT\u306b\u6700\u9069\u5316\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u3055\u3089\u306b\u3001C\u8a00\u8a9e\u3001Python\u3001Java\u306a\u3069\u306e\u4e00\u822c\u7684\u306a\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3067\u7c21\u5358\u306b\u6271\u3048\u307e\u3059\u3002\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306f\u975e\u5e38\u306b\u7c21\u5358\u3067\u3059\u3002\u8a73\u3057\u304f\u306f<a href=\"https:\/\/docs.griddb.net\/ja\/gettingstarted\/python\/\">\u3053\u3061\u3089<\/a>\u306b\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002GridDB Python \u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306b\u3064\u3044\u3066\u306f\u3001<a href=\"https:\/\/www.youtube.com\/watch?v=yWCVfLoV9_0&amp;t=61s\">\u3053\u306e\u30d3\u30c7\u30aa<\/a>\u3092\u3054\u53c2\u7167\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001Python\u306ematplotlib\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3063\u3066\u7c21\u5358\u306b\u53ef\u8996\u5316\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<h2 id=\"setup\">\u8a2d\u5b9a<\/h2>\n<h3 id=\"quick-setup-of-griddb-python-client-on-ubuntu-20-04-\">Ubuntu 20.04\u4e0a\u3067GridDB Python \u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306e\u30af\u30a4\u30c3\u30af\u8a2d\u5b9a<\/h3>\n<ol>\n<li>GridDB\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<br \/>\n<a href=\"https:\/\/griddb.net\/ja\/downloads\/\">\u3053\u3053<\/a>\u304b\u3089.deb\u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p>C\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<br \/>\n<a href=\"https:\/\/software.opensuse.org\/download\/package?project=home:knonomura&amp;package=griddb-c-client\">\u3053\u3053<\/a>\u304b\u3089Ubuntu\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u8981\u4ef6<br \/>\nA) SWIG<\/p>\n<\/li>\n<\/ol>\n<div class=\"clipboard\">\n<pre><code class=\"language-bash\">wget https:\/\/prdownloads.sourceforge.net\/swig\/swig-3.0.12.tar.gz\ntar xvfz swig-3.0.12.tar.gz\ncd swig-3.0.12\n.\/configure\nmake \nsudo make install<\/code><\/pre>\n<\/div>\n<p>B) PCRE<\/p>\n<div class=\"clipboard\">\n<pre><code>sudo apt-get install -y libpcre2-dev <\/code><\/pre>\n<\/div>\n<p>C) Python\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-bash\">wget \nhttps:\/\/github.com\/griddb\/python_client\/archive\/0.8.1.tar.gz\n\ntar xvzf 0.8.1.tar.gz\n<\/code><\/pre>\n<\/div>\n<p>\u304a\u624b\u6301\u3061\u306ePython\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306b\u5bfe\u5fdc\u3059\u308bpython-dev\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002Python 3.6\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u5148\u306b\u30ea\u30dd\u30b8\u30c8\u30ea\u3092\u8ffd\u52a0\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code>sudo add-apt-repository ppa:deadsnakes\/ppa <\/code><\/pre>\n<\/div>\n<p>\u305d\u3057\u3066<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-bash\">sudo apt-<span class=\"hljs-built_in\">get<\/span> install python3<span class=\"hljs-number\">.6<\/span>-<span class=\"hljs-built_in\">dev<\/span>\n<\/code><\/pre>\n<\/div>\n<p>Python\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-bash\">cd python_client<span class=\"hljs-number\">-0.8<\/span><span class=\"hljs-number\">.1<\/span>\/\nmake\n<\/code><\/pre>\n<\/div>\n<p>\u6b63\u3057\u3044\u4f4d\u7f6e\u3082\u6307\u5b9a\u3057\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-bash\">export LIBRARY_PATH=<span class=\"hljs-variable\">$LIBRARY_PATH<\/span><span class=\"hljs-symbol\">:\/usr\/share\/doc\/griddb-c-client<\/span> [insert path to c_client]\nexport  PYTHONPATH=<span class=\"hljs-variable\">$PYTHONPATH<\/span><span class=\"hljs-symbol\">:<\/span>[insert path to python_client]\nexport LIBRARY_PATH=<span class=\"hljs-variable\">$LD_LIBRARY_PATH<\/span><span class=\"hljs-symbol\">:<\/span>[insert path to c_client\/bin]\n<\/code><\/pre>\n<\/div>\n<h3 id=\"python-libraries\">Python\u30e9\u30a4\u30d6\u30e9\u30ea<\/h3>\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306fPython 3.6\u3092\u4f7f\u3044\u307e\u3059\u3002matplotlib\u3001NumPy\u3001statsmodels\u3001pandas\u306fpip\u3067\u7c21\u5358\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-bash\">pip <span class=\"hljs-keyword\">install<\/span> matplotlib\npip <span class=\"hljs-keyword\">install<\/span> numpy\npip <span class=\"hljs-keyword\">install<\/span> pandas\npip <span class=\"hljs-keyword\">install<\/span> statsmodels\n<\/code><\/pre>\n<\/div>\n<p>\u3053\u308c\u3067\u53ef\u8996\u5316\u3059\u308b\u6e96\u5099\u304c\u6574\u3044\u307e\u3057\u305f\u3002<\/p>\n<p>GridDB\u306f\u512a\u308c\u305f\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u3067\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u3059\u3002GridDB \u30af\u30e9\u30b9\u30bf\u306b\u63a5\u7d9a\u3057\u3001\u30c7\u30fc\u30bf\u3092\u3059\u3079\u3066pandas\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u683c\u7d0d\u3067\u304d\u307e\u3059\u3002<a href=\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/python-client\/\">\u3053\u306e\u8a18\u4e8b<\/a>\u3067\u306f\u3001Python\u3092\u4f7f\u3063\u3066GridDB\u30af\u30e9\u30b9\u30bf\u306e\u30c7\u30fc\u30bf\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u65b9\u6cd5\u3092\u8a73\u3057\u304f\u8aac\u660e\u3057\u307e\u3059\u3002\u7c21\u5358\u306b\u53c2\u7167\u3067\u304d\u308b\u3088\u3046\u3001\u5358\u306bGridDB\u30af\u30e9\u30b9\u30bf\u3092\u5ba3\u8a00\u3057\u3001SQL\u30af\u30a8\u30ea\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002\u3053\u3061\u3089\u304c\u4f8b\u3067\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">query = ts.query(\"<span class=\"hljs-keyword\">select<\/span> * <span class=\"hljs-keyword\">where<\/span> <span class=\"hljs-keyword\">timestamp<\/span> &gt; <span class=\"hljs-keyword\">TIMESTAMPADD<\/span>(<span class=\"hljs-keyword\">HOUR<\/span>, <span class=\"hljs-keyword\">NOW<\/span>(), <span class=\"hljs-number\">-6<\/span>)<span class=\"hljs-string\">\")<\/span>\n<\/code><\/pre>\n<\/div>\n<h2 id=\"data-analysis-and-visualisation\">\u30c7\u30fc\u30bf\u5206\u6790\u3068\u53ef\u8996\u5316<\/h2>\n<h3 id=\"step-1-downloading-dataset\">\u30b9\u30c6\u30c3\u30d71\uff1a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/h3>\n<p>Kaggle\u3067\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f<a href=\"https:\/\/www.kaggle.com\/shenba\/time-series-datasets?select=sales-of-shampoo-over-a-three-ye.csv\">\u30b7\u30e3\u30f3\u30d7\u30fc\u306e\u8ca9\u58f2\u30c7\u30fc\u30bf<\/a>\u3092\u9078\u3073\u307e\u3057\u305f\u3002\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u30b7\u30e3\u30f3\u30d7\u30fc\u306e3\u5e74\u9593\u306e\u6708\u5225\u58f2\u4e0a\u3067\u3059\u3002\u58f2\u4e0a\u3068\u300c\u5e74\u30fb\u6708\u300d\u3092\u793a\u30592\u3064\u306e\u5217\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<h3 id=\"step-2-importing-libraries\">\u30b9\u30c6\u30c3\u30d72\uff1a\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30a4\u30f3\u30dd\u30fc\u30c8<\/h3>\n<p>\u307e\u305a\u3001\u95a2\u9023\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30ed\u30fc\u30c9\u7528\u306epandas\u3001\u53ef\u8996\u5316\u7528\u306ematplotlib\u3001\u6642\u7cfb\u5217\u5206\u6790\u7528\u306estatsmodels\u306a\u3069\u3067\u3059\u3002matplotlib\u306ePlot \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306fpylot\u3068\u547c\u3073\u3001plt\u3068\u3057\u3066\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002\u6642\u7cfb\u5217\u306e\u30a4\u30f3\u30dd\u30fc\u30c8\u306b\u3064\u3044\u3066\u306f\u3001\u3053\u306e\u8a18\u4e8b\u306e\u5f8c\u534a\u3067\u8a73\u3057\u304f\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-title\">from<\/span> matplotlib <span class=\"hljs-keyword\">import<\/span> pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-title\">from<\/span> statsmodels.tsa.seasonal <span class=\"hljs-keyword\">import<\/span> seasonal_decompose\n<\/code><\/pre>\n<\/div>\n<h3 id=\"step-3-data-loading-and-processing\">\u30b9\u30c6\u30c3\u30d73\uff1a\u30c7\u30fc\u30bf\u306e\u30ed\u30fc\u30c9\u3068\u51e6\u7406<\/h3>\n<p>\u307e\u305a\u3001\u30c7\u30fc\u30bf\u3092\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u306f\u3001pandas\u306eread_csv\u95a2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\"><span class=\"hljs-attr\">df<\/span> = pd.read_csv(<span class=\"hljs-string\">\"sales-of-shampoo-over-a-three-ye.csv\"<\/span>)\n<\/code><\/pre>\n<\/div>\n<p>\u3042\u308b\u3044\u306f\u3001GridDB\u3092\u4f7f\u3063\u3066\u3053\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u53d6\u5f97\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-27009\" src=\"https:\/\/griddb.net\/wp-content\/uploads\/2020\/11\/image8.png\" alt=\"\" width=\"347\" height=\"294\" srcset=\"\/wp-content\/uploads\/2020\/11\/image8.png 347w, \/wp-content\/uploads\/2020\/11\/image8-300x254.png 300w\" sizes=\"(max-width: 347px) 100vw, 347px\" \/><\/p>\n<p>\u3053\u306e\u30c7\u30fc\u30bf\u306b\u306f\u3001 \u300c\u6708\u300d \u3068\u300c3\u5e74\u9593\u306e\u30b7\u30e3\u30f3\u30d7\u30fc\u58f2\u4e0a\u300d\u306e2\u3064\u306e\u5217\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u6b21\u306b\u3001\u300c\u5e74\u30fb\u6708\u300d\u304c\u8868\u793a\u3055\u308c\u3066\u3044\u308b\u300cMonth\u300d\u306e\u5217\u3092\u3001\u5e74\u3068\u6708\u306e2\u3064\u306e\u5217\u306b\u5206\u3051\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">df[[<span class=\"hljs-string\">'year'<\/span>,<span class=\"hljs-string\">'month'<\/span>]] = df<span class=\"hljs-selector-class\">.Month<\/span><span class=\"hljs-selector-class\">.str<\/span><span class=\"hljs-selector-class\">.split<\/span>(<span class=\"hljs-string\">\"-\"<\/span>,expand=True)\n<\/code><\/pre>\n<\/div>\n<p>\u3044\u3088\u3044\u3088\u53ef\u8996\u5316\u306b\u9032\u307f\u307e\u3059\u3002<\/p>\n<h3 id=\"step-4-visualisations\">\u30b9\u30c6\u30c3\u30d74\uff1a\u53ef\u8996\u5316<\/h3>\n<h4 id=\"line-plot\">\u6298\u308c\u7dda\u30b0\u30e9\u30d5<\/h4>\n<p>\u307e\u305a\u3001x\u8ef8\u304c\u5e74\u30fb\u6708\u3001y\u8ef8\u304c\u58f2\u4e0a\u306e\u7c21\u5358\u306a\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u4f7f\u3044\u307e\u3059\u3002<br \/>\nfigsize\u3067\u56f3\u5f62\u30b5\u30a4\u30ba\u3092\u3001linestyle\u3067\u7dda\u7a2e\u3092\u3001marker\u3067\u30de\u30fc\u30ab\u30fc\uff08s=\u56db\u89d2\u5f62\uff09\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002<br \/>\n\u7dda\u3068\u30de\u30fc\u30ab\u30fc\u306e\u8272\u306f\u3001\u305d\u308c\u305e\u308ccolor\u3068markerfacecolor\u3067\u6307\u5b9a\u3067\u304d\u3001\u30de\u30fc\u30ab\u30fc\u30b5\u30a4\u30ba\u306fmarkersize\u3067\u6307\u5b9a\u3067\u304d\u307e\u3059\u3002\u3055\u3089\u306b\uff1c\u30b0\u30e9\u30d5\u306e\uff1e\u30e9\u30d9\u30eb\u540d\u3082\u5909\u66f4\u3067\u304d\u307e\u3059\u3002\u30b0\u30e9\u30d5\u4e0a\u3067\u6307\u5b9a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u305d\u306e\u4ed6\u306e\u5f15\u6570\u306f<a href=\"https:\/\/matplotlib.org\/3.1.1\/tutorials\/introductory\/pyplot.html\">https:\/\/matplotlib.org\/3.5.3\/api\/_as_gen\/matplotlib.pyplot.html<\/a>\u304b\u3089\u53c2\u7167\u3067\u304d\u307e<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\"><span class=\"hljs-selector-tag\">df<\/span><span class=\"hljs-selector-class\">.plot<\/span>(x=<span class=\"hljs-string\">'Month'<\/span>,y=<span class=\"hljs-string\">'Sales of shampoo over a three year period'<\/span>,figsize=(<span class=\"hljs-number\">15<\/span>,<span class=\"hljs-number\">6<\/span>),linestyle=<span class=\"hljs-string\">'-'<\/span>, marker=<span class=\"hljs-string\">'s'<\/span>, markerfacecolor=<span class=\"hljs-string\">'b'<\/span>,color=<span class=\"hljs-string\">'y'<\/span>,markersize=<span class=\"hljs-number\">11<\/span>)\n<span class=\"hljs-selector-tag\">plt<\/span><span class=\"hljs-selector-class\">.xlabel<\/span>(<span class=\"hljs-string\">'Year-Month'<\/span>)\n<span class=\"hljs-selector-tag\">plt<\/span><span class=\"hljs-selector-class\">.ylabel<\/span>(<span class=\"hljs-string\">'Sales'<\/span>)\n<\/code><\/pre>\n<\/div>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-27010\" src=\"https:\/\/griddb.net\/wp-content\/uploads\/2020\/11\/image5.png\" alt=\"\" width=\"891\" height=\"371\" srcset=\"\/wp-content\/uploads\/2020\/11\/image5.png 891w, \/wp-content\/uploads\/2020\/11\/image5-300x125.png 300w, \/wp-content\/uploads\/2020\/11\/image5-768x320.png 768w, \/wp-content\/uploads\/2020\/11\/image5-600x250.png 600w\" sizes=\"(max-width: 891px) 100vw, 891px\" \/><\/p>\n<p>\u30b7\u30e3\u30f3\u30d7\u30fc\u306e\u58f2\u4e0a\u304c\u524d\u5e74\u6bd4\u3067\u5897\u52a0\u3057\u3066\u3044\u3066\u3001\u30c7\u30fc\u30bf\u306f\u660e\u3089\u304b\u306b\u5897\u52a0\u50be\u5411\u304c\u3042\u308b\u3068\u308f\u304b\u308a\u307e\u3059\u3002\u6bce\u5e74\u3001\u58f2\u4e0a\u304c\u4e00\u756a\u9ad8\u3044\u306e\u306f\u6c7a\u307e\u3063\u306611\u6708\u9803\u3067\u3042\u308b\u3053\u3068\u3082\u308f\u304b\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5b63\u7bc0\u6027\u304c\u3042\u308b\u3068\u5341\u5206\u306b\u8a00\u3048\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n<p>\u6b21\u306b\u30011\u304b\u6708\u9593\u306e\u30c7\u30fc\u30bf\u3092\u5e73\u5747\u5316\u3057\u3001\u30c8\u30ec\u30f3\u30c9\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">dfm =df.groupby(<span class=\"hljs-string\">'month'<\/span>).mean().reset_index().sort_values(by=[<span class=\"hljs-string\">'month'<\/span>])\ndfm[<span class=\"hljs-string\">\"month_number\"<\/span>] = pd.to_datetime(dfm[<span class=\"hljs-string\">\"month\"<\/span>], format= <span class=\"hljs-string\">\"%b\"<\/span>).dt.month\n\ndfm = dfm.sort_values(by=[<span class=\"hljs-string\">'month_number'<\/span>])\n\ndfm.plot(x=<span class=\"hljs-string\">'month'<\/span>,y=<span class=\"hljs-string\">'Sales of shampoo over a three year period'<\/span>,figsize=(<span class=\"hljs-number\">15<\/span>,<span class=\"hljs-number\">6<\/span>),linestyle=<span class=\"hljs-string\">'-'<\/span>, marker=<span class=\"hljs-string\">'s'<\/span>, markerfacecolor=<span class=\"hljs-string\">'b'<\/span>,color=<span class=\"hljs-string\">'y'<\/span>,markersize=<span class=\"hljs-number\">11<\/span>)\n\nplt.xlabel(<span class=\"hljs-string\">'Year-Month'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Mean Sales'<\/span>)\n<\/code><\/pre>\n<\/div>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-27011\" src=\"https:\/\/griddb.net\/wp-content\/uploads\/2020\/11\/image7.png\" alt=\"\" width=\"891\" height=\"371\" srcset=\"\/wp-content\/uploads\/2020\/11\/image7.png 891w, \/wp-content\/uploads\/2020\/11\/image7-300x125.png 300w, \/wp-content\/uploads\/2020\/11\/image7-768x320.png 768w, \/wp-content\/uploads\/2020\/11\/image7-600x250.png 600w\" sizes=\"(max-width: 891px) 100vw, 891px\" \/><\/p>\n<p>\u78ba\u304b\u306b\u58f2\u4e0a\u306f11\u6708\u9803\u306b\u30d4\u30fc\u30af\u3092\u8fce\u3048\u3001\u6e1b\u5c11\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>2D\u30d2\u30fc\u30c8\u30de\u30c3\u30d7\u3092\u4f7f\u3063\u3066\u3082\u3001\u3046\u307e\u304f\u53ef\u8996\u5316\u3067\u304d\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">x=dfm[<span class=\"hljs-string\">'month_number'<\/span>]\ny=dfm[<span class=\"hljs-string\">'Sales of shampoo over a three year period'<\/span>]\nplt.hist2d(x, y)\nplt.xlabel(<span class=\"hljs-string\">'Month'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Mean Sales'<\/span>)\n<\/code><\/pre>\n<\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27012\" src=\"https:\/\/griddb.net\/wp-content\/uploads\/2020\/11\/image3.png\" alt=\"\" width=\"395\" height=\"262\" srcset=\"\/wp-content\/uploads\/2020\/11\/image3.png 395w, \/wp-content\/uploads\/2020\/11\/image3-300x199.png 300w\" sizes=\"(max-width: 395px) 100vw, 395px\" \/><\/p>\n<p>\u6b21\u306f\u3001\u57fa\u672c\u7684\u306a\u6642\u7cfb\u5217\u30d9\u30fc\u30b9\u306e\u30b0\u30e9\u30d5\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u307e\u3059\u3002<\/p>\n<h4 id=\"lag-plot\">\u30e9\u30b0\u30d7\u30ed\u30c3\u30c8<\/h4>\n<p>\u30e9\u30b0\u30d7\u30ed\u30c3\u30c8\u306f\u3001y\u8ef8\u304cx\u8ef8\u306b\u5bfe\u3057\u3066\u4e00\u5b9a\u306e\u30e9\u30b0\uff08\u30c7\u30d5\u30a9\u30eb\u30c81\uff09\u304c\u3042\u308b\u7c21\u5358\u306a\u30d7\u30ed\u30c3\u30c8\u3067\u3059\u3002<br \/>\n\u30e9\u30b0\u30d7\u30ed\u30c3\u30c8\u3092\u4f7f\u3046\u3068\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u30e9\u30f3\u30c0\u30e0\u304b\u3069\u3046\u304b\u691c\u8a3c\u3067\u304d\u307e\u3059\u3002<br \/>\n\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306a\u3089\u3001\u30c8\u30ec\u30f3\u30c9\u304c\u78ba\u8a8d\u3067\u304d\u308b\u306f\u305a\u3067\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">pd<span class=\"hljs-selector-class\">.plotting<\/span><span class=\"hljs-selector-class\">.lag_plot<\/span>(df[<span class=\"hljs-string\">'Sales of shampoo over a three year period'<\/span>])\n<\/code><\/pre>\n<\/div>\n<p><img decoding=\"async\" src=\"images\/image4.png\" alt=\"\" \/><\/p>\n<p>\u3044\u304f\u3064\u304b\u306e\u30cf\u30ba\u30ec\u5024\u306f\u3042\u308b\u3082\u306e\u306e\u3001\u4e0a\u5411\u304d\u306e\u7dda\u5f62\u50be\u5411\u304c\u3042\u308b\u3068\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/p>\n<h4 id=\"autocorrelogram-or-autocorrelation-plot\">\u30aa\u30fc\u30c8\u30b3\u30ec\u30ed\u30b0\u30e9\u30e0\u3001\u307e\u305f\u306f\u81ea\u5df1\u76f8\u95a2\u30d7\u30ed\u30c3\u30c8<\/h4>\n<p>\u30aa\u30fc\u30c8\u30b3\u30ec\u30ed\u30b0\u30e9\u30e0\u3067\u3082\u3001\u30c7\u30fc\u30bf\u304c\u30e9\u30f3\u30c0\u30e0\u304b\u3069\u3046\u304b\u691c\u8a3c\u3067\u304d\u307e\u3059\u3002\u3055\u307e\u3056\u307e\u306a\u6642\u9593\u306e\u30e9\u30b0\u304c\u3042\u308b\u30c7\u30fc\u30bf\u5024\u306b\u5bfe\u3057\u3066\u81ea\u5df1\u76f8\u95a2\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002\u30d7\u30ed\u30c3\u30c8\u306f\u3001x\u8ef8\u306b\u6cbf\u3063\u305f\u30e9\u30b0\u3068y\u8ef8\u4e0a\u306e\u76f8\u95a2\u3092\u793a\u3057\u307e\u3059\u3002\u70b9\u7dda\u3088\u308a\u4e0a\u306e\u76f8\u95a2\u5024\u306f\u3001\u7d71\u8a08\u7684\u306b\u6709\u610f\u5dee\u304c\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">pd<span class=\"hljs-selector-class\">.plotting<\/span><span class=\"hljs-selector-class\">.autocorrelation_plot<\/span>(df[<span class=\"hljs-string\">'Sales of shampoo over a three year period'<\/span>])\n<\/code><\/pre>\n<\/div>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-27009\" src=\"https:\/\/griddb.net\/wp-content\/uploads\/2020\/11\/image8.png\" alt=\"\" width=\"347\" height=\"294\" srcset=\"\/wp-content\/uploads\/2020\/11\/image8.png 347w, \/wp-content\/uploads\/2020\/11\/image8-300x254.png 300w\" sizes=\"(max-width: 347px) 100vw, 347px\" \/><\/p>\n<p>\u30e9\u30b0\u304c\u4f4e\u3044\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f\u6b63\u306e\u81ea\u5df1\u76f8\u95a2\u304c\u898b\u3089\u308c\u307e\u3059\u3002\u30c7\u30fc\u30bf\u304c\uff13\u5e74\u5206\u3057\u304b\u306a\u3044\u306e\u3067\u3001\u30e9\u30b0\u304c\u9ad8\u3044\u3068\u610f\u5473\u3092\u306a\u3057\u307e\u305b\u3093\u3002<code>statsmodels<\/code>\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3048\u3070\u30d7\u30ed\u30c3\u30c8\u306e\u7cbe\u5ea6\u3092\u4e0a\u3052\u3089\u308c\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">import statsmodels<span class=\"hljs-selector-class\">.api<\/span> as sm\nsm<span class=\"hljs-selector-class\">.graphics<\/span><span class=\"hljs-selector-class\">.tsa<\/span><span class=\"hljs-selector-class\">.plot_acf<\/span>(df[<span class=\"hljs-string\">\"Sales of shampoo over a three year period\"<\/span>])\n<\/code><\/pre>\n<\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27014\" src=\"https:\/\/griddb.net\/wp-content\/uploads\/2020\/11\/image9.png\" alt=\"\" width=\"386\" height=\"264\" srcset=\"\/wp-content\/uploads\/2020\/11\/image9.png 386w, \/wp-content\/uploads\/2020\/11\/image9-300x205.png 300w\" sizes=\"(max-width: 386px) 100vw, 386px\" \/><\/p>\n<p>lag=12\u307e\u3067\u3001\u6b63\u306e\u76f8\u95a2\u304c\u5f37\u3044\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/p>\n<h4 id=\"seasonality\">\u5b63\u7bc0\u6027<\/h4>\n<p>\u3053\u3053\u3067statsmodels\u306ets\u95a2\u6570\u306e\u51fa\u756a\u3067\u3059\u3002\u30c7\u30fc\u30bf\u306e\u30c8\u30ec\u30f3\u30c9\u3092\u78ba\u8a8d\u3059\u308b\u305f\u3081\u3001\u7c21\u5358\u306a\u5b63\u7bc0\u5909\u52d5\u306e\u5206\u6790\u3092\u884c\u3044\u307e\u3059\u3002\u5b63\u7bc0\u6027\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u306e\u306bseasonal_decompose\u3092\u4f7f\u3044\u307e\u3059\u3002\u305f\u3060\u3057\u3001<code>ts<\/code>\u306fdataindex\u3092\u6301\u3064\u30c7\u30fc\u30bf\u304c\u5fc5\u8981\u306a\u306e\u3067\u3001\u30c0\u30df\u30fc\u306edataindex\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">df[<span class=\"hljs-string\">\"month_number\"<\/span>] = pd.to_datetime(df[<span class=\"hljs-string\">\"month\"<\/span>], format= <span class=\"hljs-string\">\"%b\"<\/span>)<span class=\"hljs-selector-class\">.dt<\/span><span class=\"hljs-selector-class\">.month<\/span>\ndf<span class=\"hljs-selector-class\">.year<\/span> = df<span class=\"hljs-selector-class\">.year<\/span><span class=\"hljs-selector-class\">.astype<\/span>(<span class=\"hljs-string\">\"int\"<\/span>)\ndf[<span class=\"hljs-string\">\"date\"<\/span>] = pd.to_datetime(((df.year+<span class=\"hljs-number\">2000<\/span>)*<span class=\"hljs-number\">10000<\/span>+df.month_number*<span class=\"hljs-number\">100<\/span>+<span class=\"hljs-number\">1<\/span>).apply(str),format=<span class=\"hljs-string\">'%Y%m%d'<\/span>)\ndf = df.set_index(<span class=\"hljs-string\">\"date\"<\/span>)\n<\/code><\/pre>\n<\/div>\n<div class=\"clipboard\">\n<pre><code class=\"language-python\">from statsmodels.tsa.seasonal import seasonal_decompose\n\ndecomp = seasonal_decompose(x=df[[<span class=\"hljs-string\">\"Sales of shampoo over a three year period\"<\/span>]], model='<span class=\"hljs-built_in\">additive<\/span>')\nest_trend = decomp.trend\nest_seasonal = decomp.seasonal\n\nfig, <span class=\"hljs-built_in\">axes<\/span> = plt.subplots(<span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">1<\/span>)\nfig.set_figheight(<span class=\"hljs-number\">10<\/span>)\nfig.set_figwidth(<span class=\"hljs-number\">15<\/span>)\n<span class=\"hljs-built_in\">axes<\/span>[<span class=\"hljs-number\">0<\/span>].plot(df[<span class=\"hljs-string\">\"Sales of shampoo over a three year period\"<\/span>], <span class=\"hljs-built_in\">label<\/span>='Original')\n<span class=\"hljs-built_in\">axes<\/span>[<span class=\"hljs-number\">0<\/span>].<span class=\"hljs-built_in\">legend<\/span>()\n<span class=\"hljs-built_in\">axes<\/span>[<span class=\"hljs-number\">1<\/span>].plot(est_trend, <span class=\"hljs-built_in\">label<\/span>='Trend',<span class=\"hljs-built_in\">color<\/span>=<span class=\"hljs-string\">\"b\"<\/span>)\n<span class=\"hljs-built_in\">axes<\/span>[<span class=\"hljs-number\">1<\/span>].<span class=\"hljs-built_in\">legend<\/span>()\n<span class=\"hljs-built_in\">axes<\/span>[<span class=\"hljs-number\">2<\/span>].plot(est_seasonal, <span class=\"hljs-built_in\">label<\/span>='Seasonality',<span class=\"hljs-built_in\">color<\/span>='r')\n<span class=\"hljs-built_in\">axes<\/span>[<span class=\"hljs-number\">2<\/span>].<span class=\"hljs-built_in\">legend<\/span>()\n<\/code><\/pre>\n<\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27015\" src=\"https:\/\/griddb.net\/wp-content\/uploads\/2020\/11\/image6.png\" alt=\"\" width=\"894\" height=\"576\" srcset=\"\/wp-content\/uploads\/2020\/11\/image6.png 894w, \/wp-content\/uploads\/2020\/11\/image6-300x193.png 300w, \/wp-content\/uploads\/2020\/11\/image6-768x495.png 768w, \/wp-content\/uploads\/2020\/11\/image6-600x387.png 600w\" sizes=\"(max-width: 894px) 100vw, 894px\" \/><\/p>\n<p>\u6708\u5225\u306e\u30b0\u30e9\u30d5\u306b\u306f\u3001\u7bb1\u3072\u3052\u56f3\u3082\u4f5c\u308c\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"lang-python\">df.boxplot(figsize=(<span class=\"hljs-number\">15<\/span>,<span class=\"hljs-number\">6<\/span>),<span class=\"hljs-keyword\">by<\/span>='month_number',column='Sales <span class=\"hljs-keyword\">of<\/span> shampoo <span class=\"hljs-keyword\">over<\/span> a three <span class=\"hljs-built_in\">year<\/span> period')\n<\/code><\/pre>\n<\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27016\" src=\"https:\/\/griddb.net\/wp-content\/uploads\/2020\/11\/image2.png\" alt=\"\" width=\"904\" height=\"404\" srcset=\"\/wp-content\/uploads\/2020\/11\/image2.png 904w, \/wp-content\/uploads\/2020\/11\/image2-300x134.png 300w, \/wp-content\/uploads\/2020\/11\/image2-768x343.png 768w, \/wp-content\/uploads\/2020\/11\/image2-600x268.png 600w\" sizes=\"(max-width: 904px) 100vw, 904px\" \/><\/p>\n<p>\u4e0a\u6607\u50be\u5411\u3068\u300111\u6708\u306b\u30d4\u30fc\u30af\u3092\u8fce\u3048\u308b\u7de9\u3084\u304b\u306a\u5b63\u7bc0\u6027\u304c\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002\u3057\u304b\u3057\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u5c11\u306a\u3059\u304e\u308b\u306e\u3067\u3001\u5b63\u7bc0\u6027\u306b\u3064\u3044\u3066\u7d50\u8ad6\u306f\u51fa\u305b\u307e\u305b\u3093\u3002<\/p>\n<h2 id=\"conclusion\">\u7d50\u8ad6<\/h2>\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u6700\u521d\u306bGridDB\u3068Python\u306e\u8a2d\u5b9a\u65b9\u6cd5\u3092\u5b66\u3073\u307e\u3057\u305f\u3002\u6b21\u306b\u6642\u7cfb\u5217\u3092\u53ef\u8996\u5316\u3059\u308b\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8003\u3048\u307e\u3057\u305f\u3002\u6700\u5f8c\u306b\u30c8\u30ec\u30f3\u30c9\u3001\u81ea\u5df1\u76f8\u95a2\u3001\u5b63\u7bc0\u6027\u306e\u5206\u6790\u3092\u884c\u3044\u3001\u5bfe\u5fdc\u3059\u308b\u30b0\u30e9\u30d5\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u307e\u3057\u305f\u3002\u3088\u308a\u9ad8\u5ea6\u306b\u53ef\u8996\u5316\u3059\u308b\u65b9\u6cd5\u3084\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u306b\u3064\u3044\u3066\u77e5\u308a\u305f\u3044\u65b9\u306f\u3001<a href=\"https:\/\/medium.com\/@rraiitk\/building-dashboards-using-dash-200-lines-of-code-ae0be08d805b\">\u3053\u3061\u3089<\/a>\u306e\u8a18\u4e8b\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n<h3 id=\"source-code\">\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9<\/h3>\n<p><a href=\"https:\/\/griddb.net\/en\/download\/27093\/\"> <span class=\"download-button\">\u3053\u306e\u30d6\u30ed\u30b0\u3067\u7d39\u4ecb\u3057\u305f\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u304b\u3089\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3067\u304d\u307e\u3059<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u306f\u3058\u3081\u306b \u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u304b\u3089 \u30c7\u30fc\u30bf\u3068\u306f\u4e00\u822c\u7684\u306b\u5927\u91cf\u306e\u6570\u5024\u306e\u96c6\u307e\u308a\u3067\u3042\u308a\u3001\u5c02\u9580\u5bb6\u3067\u306a\u3044\u4eba\u306b\u3068\u3063\u3066\u306f\u53c2\u8003\u306b\u306a\u308b\u3068\u3044\u3046\u3088\u308a\u3082\u6df7\u4e71\u3055\u305b\u3089\u308c\u308b\u3082\u306e\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306e\u51fa\u73fe\u306b\u3088\u308a\u3001\u5c02\u9580\u5bb6\u3067\u3055\u3048\u30c7\u30fc\u30bf\u306e\u5206\u6790\u306b\u82e6\u52b4\u3057\u3066 [&hellip;]<\/p>\n","protected":false},"author":41,"featured_media":49161,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1005],"tags":[],"class_list":["post-50714","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 Matplotlib\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316 | GridDB: Open Source Time Series Database for IoT<\/title>\n<meta name=\"description\" content=\"\u306f\u3058\u3081\u306b \u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u304b\u3089\" \/>\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-matplotlib-and-griddb\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Matplotlib\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316 | GridDB: Open Source Time Series Database for IoT\" \/>\n<meta property=\"og:description\" content=\"\u306f\u3058\u3081\u306b \u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u304b\u3089\" \/>\n<meta property=\"og:url\" content=\"https:\/\/griddb.net\/ja\/\u672a\u5206\u985e\/data-visualization-with-python-matplotlib-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=\"2020-11-13T08:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-30T20:48:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/wp-content\/uploads\/2020\/11\/image2.png\" \/>\n\t<meta property=\"og:image:width\" content=\"904\" \/>\n\t<meta property=\"og:image:height\" content=\"404\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"griddb-admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@GridDBCommunity\" \/>\n<meta name=\"twitter:site\" content=\"@GridDBCommunity\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"griddb-admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"3\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/\"},\"author\":{\"name\":\"griddb-admin\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233\"},\"headline\":\"Python Matplotlib\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316\",\"datePublished\":\"2020-11-13T08:00:00+00:00\",\"dateModified\":\"2026-03-30T20:48:24+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/\"},\"wordCount\":92,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/griddb.net\/en\/#organization\"},\"image\":{\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#primaryimage\"},\"thumbnailUrl\":\"\/wp-content\/uploads\/2020\/11\/image2.png\",\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/\",\"url\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/\",\"name\":\"Python Matplotlib\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316 | GridDB: Open Source Time Series Database for IoT\",\"isPartOf\":{\"@id\":\"https:\/\/griddb.net\/en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#primaryimage\"},\"thumbnailUrl\":\"\/wp-content\/uploads\/2020\/11\/image2.png\",\"datePublished\":\"2020-11-13T08:00:00+00:00\",\"dateModified\":\"2026-03-30T20:48:24+00:00\",\"description\":\"\u306f\u3058\u3081\u306b \u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u304b\u3089\",\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#primaryimage\",\"url\":\"\/wp-content\/uploads\/2020\/11\/image2.png\",\"contentUrl\":\"\/wp-content\/uploads\/2020\/11\/image2.png\",\"width\":904,\"height\":404},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/griddb.net\/en\/#website\",\"url\":\"https:\/\/griddb.net\/en\/\",\"name\":\"GridDB: Open Source Time Series Database for IoT\",\"description\":\"GridDB is an open source time-series database with the performance of NoSQL and convenience of SQL\",\"publisher\":{\"@id\":\"https:\/\/griddb.net\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/griddb.net\/en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ja\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/griddb.net\/en\/#organization\",\"name\":\"Fixstars\",\"url\":\"https:\/\/griddb.net\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png\",\"contentUrl\":\"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png\",\"width\":200,\"height\":83,\"caption\":\"Fixstars\"},\"image\":{\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/griddbcommunity\/\",\"https:\/\/x.com\/GridDBCommunity\",\"https:\/\/www.linkedin.com\/company\/griddb-by-toshiba\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233\",\"name\":\"griddb-admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g\",\"caption\":\"griddb-admin\"},\"url\":\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/author\/griddb-admin\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Python Matplotlib\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316 | GridDB: Open Source Time Series Database for IoT","description":"\u306f\u3058\u3081\u306b \u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u304b\u3089","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/griddb.net\/ja\/\u672a\u5206\u985e\/data-visualization-with-python-matplotlib-and-griddb\/","og_locale":"ja_JP","og_type":"article","og_title":"Python Matplotlib\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316 | GridDB: Open Source Time Series Database for IoT","og_description":"\u306f\u3058\u3081\u306b \u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u304b\u3089","og_url":"https:\/\/griddb.net\/ja\/\u672a\u5206\u985e\/data-visualization-with-python-matplotlib-and-griddb\/","og_site_name":"GridDB: Open Source Time Series Database for IoT","article_publisher":"https:\/\/www.facebook.com\/griddbcommunity\/","article_published_time":"2020-11-13T08:00:00+00:00","article_modified_time":"2026-03-30T20:48:24+00:00","og_image":[{"width":904,"height":404,"url":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/wp-content\/uploads\/2020\/11\/image2.png","type":"image\/png"}],"author":"griddb-admin","twitter_card":"summary_large_image","twitter_creator":"@GridDBCommunity","twitter_site":"@GridDBCommunity","twitter_misc":{"\u57f7\u7b46\u8005":"griddb-admin","\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593":"3\u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#article","isPartOf":{"@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/"},"author":{"name":"griddb-admin","@id":"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233"},"headline":"Python Matplotlib\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316","datePublished":"2020-11-13T08:00:00+00:00","dateModified":"2026-03-30T20:48:24+00:00","mainEntityOfPage":{"@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/"},"wordCount":92,"commentCount":0,"publisher":{"@id":"https:\/\/griddb.net\/en\/#organization"},"image":{"@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#primaryimage"},"thumbnailUrl":"\/wp-content\/uploads\/2020\/11\/image2.png","inLanguage":"ja","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/","url":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/","name":"Python Matplotlib\u3068GridDB\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316 | GridDB: Open Source Time Series Database for IoT","isPartOf":{"@id":"https:\/\/griddb.net\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#primaryimage"},"image":{"@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#primaryimage"},"thumbnailUrl":"\/wp-content\/uploads\/2020\/11\/image2.png","datePublished":"2020-11-13T08:00:00+00:00","dateModified":"2026-03-30T20:48:24+00:00","description":"\u306f\u3058\u3081\u306b \u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u304b\u3089","inLanguage":"ja","potentialAction":[{"@type":"ReadAction","target":["https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/"]}]},{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/data-visualization-with-python-matplotlib-and-griddb\/#primaryimage","url":"\/wp-content\/uploads\/2020\/11\/image2.png","contentUrl":"\/wp-content\/uploads\/2020\/11\/image2.png","width":904,"height":404},{"@type":"WebSite","@id":"https:\/\/griddb.net\/en\/#website","url":"https:\/\/griddb.net\/en\/","name":"GridDB: Open Source Time Series Database for IoT","description":"GridDB is an open source time-series database with the performance of NoSQL and convenience of SQL","publisher":{"@id":"https:\/\/griddb.net\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/griddb.net\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ja"},{"@type":"Organization","@id":"https:\/\/griddb.net\/en\/#organization","name":"Fixstars","url":"https:\/\/griddb.net\/en\/","logo":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/","url":"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png","contentUrl":"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png","width":200,"height":83,"caption":"Fixstars"},"image":{"@id":"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/griddbcommunity\/","https:\/\/x.com\/GridDBCommunity","https:\/\/www.linkedin.com\/company\/griddb-by-toshiba"]},{"@type":"Person","@id":"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233","name":"griddb-admin","image":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/griddb.net\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g","caption":"griddb-admin"},"url":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/author\/griddb-admin\/"}]}},"_links":{"self":[{"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/posts\/50714","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/users\/41"}],"replies":[{"embeddable":true,"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/comments?post=50714"}],"version-history":[{"count":2,"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/posts\/50714\/revisions"}],"predecessor-version":[{"id":55147,"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/posts\/50714\/revisions\/55147"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/media\/49161"}],"wp:attachment":[{"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/media?parent=50714"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/categories?post=50714"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/wp-json\/wp\/v2\/tags?post=50714"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}