{"id":13677,"date":"2024-03-15T19:57:11","date_gmt":"2024-03-15T10:57:11","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/python%e3%81%a7%e5%8b%95%e7%9a%84%e3%81%aa%e3%82%b0%e3%83%a9%e3%83%95%e3%82%92%e5%ae%9f%e8%a3%85%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99%e3%81%8b%ef%bc%9f\/"},"modified":"2025-08-05T18:22:04","modified_gmt":"2025-08-05T09:22:04","slug":"python%e3%81%a7%e5%8b%95%e7%9a%84%e3%81%aa%e3%82%b0%e3%83%a9%e3%83%95%e3%82%92%e5%ae%9f%e8%a3%85%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99%e3%81%8b%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/python%e3%81%a7%e5%8b%95%e7%9a%84%e3%81%aa%e3%82%b0%e3%83%a9%e3%83%95%e3%82%92%e5%ae%9f%e8%a3%85%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99%e3%81%8b%ef%bc%9f\/","title":{"rendered":"Python\u3067\u52d5\u7684\u306a\u30b0\u30e9\u30d5\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f"},"content":{"rendered":"

Python\u306fmatplotlib\u3084turtle\u306e\u3088\u3046\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u3001\u52d5\u7684\u306a\u56f3\u3092\u63cf\u304f\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

matplotlib\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u52d5\u7684\u306a\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u624b\u9806\u306f\u6b21\u306e\u901a\u308a\u3067\u3059\uff1a<\/p>\n

    \n
  1. matplotlib\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u95a2\u9023\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n
    import<\/span> matplotlib.pyplot as<\/span> plt\r\nimport<\/span> numpy as<\/span> np\r\n<\/code><\/pre>\n
      \n
    1. \u7a7a\u306e\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30a6\u30a3\u30f3\u30c9\u30a6\u3092\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n<\/ol>\n
      fig, ax = plt.subplots()\r\n<\/code><\/pre>\n
        \n
      1. \u30c7\u30fc\u30bf\u3092\u63cf\u753b\u3059\u308b\u305f\u3081\u306e\u7a7a\u306e\u30ea\u30b9\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n
        data = []\r\n<\/code><\/pre>\n
          \n
        1. \u63cf\u753b\u3092\u66f4\u65b0\u3059\u308b\u305f\u3081\u306e\u63cf\u753b\u6a5f\u80fd\u3092\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n<\/ol>\n
          def<\/span> update_plot<\/span>():\r\n    ax.clear()\r\n    ax.plot(data)\r\n    plt.draw()\r\n<\/code><\/pre>\n
            \n
          1. \u30eb\u30fc\u30d7\u5185\u3067\u30c7\u30fc\u30bf\u3092\u7d99\u7d9a\u7684\u306b\u66f4\u65b0\u3057\u3001\u63cf\u753b\u95a2\u6570\u3092\u547c\u3073\u51fa\u3057\u3066\u63cf\u753b\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n
            while<\/span> True<\/span>:\r\n    # \u66f4\u65b0\u6570\u636e<\/span>\r\n    # ...<\/span>\r\n    \r\n    # \u8c03\u7528\u7ed8\u56fe\u51fd\u6570\u8fdb\u884c\u7ed8\u56fe<\/span>\r\n    update_plot()\r\n<\/code><\/pre>\n
            turtle\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u30c0\u30a4\u30ca\u30df\u30c3\u30af\u306a\u63cf\u753b\u3092\u5b9f\u73fe\u3059\u308b\u624b\u9806\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\uff1a<\/p>\n
              \n
            1. \u4e80\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n<\/ol>\n
              import<\/span> turtle\r\n<\/code><\/pre>\n
                \n
              1. \u30ad\u30e3\u30f3\u30d0\u30b9\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n
                screen = turtle.Screen()\r\n<\/code><\/pre>\n
                  \n
                1. \u6d77\u4e80\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n
                  my_turtle = turtle.Turtle()\r\n<\/code><\/pre>\n
                    \n
                  1. \u6d77\u4e80\u306e\u4f4d\u7f6e\u3068\u65b9\u5411\u3092\u7e70\u308a\u8fd4\u3057\u66f4\u65b0\u3057\u3066\u3001\u52d5\u7684\u306a\u63cf\u753b\u3092\u5b9f\u73fe\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n
                    while<\/span> True<\/span>:\r\n    # \u66f4\u65b0\u6d77\u9f9f\u7684\u4f4d\u7f6e\u548c\u65b9\u5411<\/span>\r\n    # ...<\/span>\r\n    \r\n    # \u7ed8\u5236\u56fe\u5f62<\/span>\r\n    my_turtle.forward(100<\/span>)\r\n    my_turtle.left(90<\/span>)\r\n<\/code><\/pre>\n
                    turtle\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3063\u3066\u52d5\u7684\u306a\u56f3\u3092\u63cf\u753b\u3059\u308b\u969b\u306f\u3001\u56f3\u3092\u63cf\u753b\u3057\u305f\u5f8c\u306b\u5fc5\u305ascreen.update()\u95a2\u6570\u3092\u547c\u3073\u51fa\u3057\u3066\u30ad\u30e3\u30f3\u30d0\u30b9\u3092\u66f4\u65b0\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u307e\u305f\u3001turtle.speed()\u95a2\u6570\u3092\u4f7f\u3063\u3066\u63cf\u753b\u901f\u5ea6\u3092\u5236\u5fa1\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
                    Python\u306fmatplotlib\u3084turtle\u306e\u3088\u3046\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u3001\u52d5\u7684\u306a\u56f3\u3092\u63cf\u304f\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 matplotlib\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u52d5\u7684\u306a\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u624b\u9806\u306f\u6b21\u306e\u901a\u308a\u3067\u3059\uff1a matplotlib\u30e9\u30a4\u30d6 […]<\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[31,26],"class_list":["post-13677","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-python","tag-26"],"yoast_head":"\nPython\u3067\u52d5\u7684\u306a\u30b0\u30e9\u30d5\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"Python\u3067\u52d5\u7684\u306a\u30b0\u30e9\u30d5\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\u3002\u5b9f\u8df5\u7684\u306a\u4f8b\u3068\u30b3\u30fc\u30c9\u3001\u6ce8\u610f\u70b9\u3092\u542b\u3081\u3066\u521d\u5fc3\u8005\u306b\u3082\u7406\u89e3\u3067\u304d\u308b\u3088\u3046\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/ja\/blog\/python\u3067\u52d5\u7684\u306a\u30b0\u30e9\u30d5\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\u3067\u52d5\u7684\u306a\u30b0\u30e9\u30d5\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f\" \/>\n<meta property=\"og:description\" content=\"Python\u3067\u52d5\u7684\u306a\u30b0\u30e9\u30d5\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\u3002\u5b9f\u8df5\u7684\u306a\u4f8b\u3068\u30b3\u30fc\u30c9\u3001\u6ce8\u610f\u70b9\u3092\u542b\u3081\u3066\u521d\u5fc3\u8005\u306b\u3082\u7406\u89e3\u3067\u304d\u308b\u3088\u3046\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/ja\/blog\/python\u3067\u52d5\u7684\u306a\u30b0\u30e9\u30d5\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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