{"id":45770,"date":"2022-12-17T00:11:42","date_gmt":"2023-10-25T23:20:01","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/45770-2\/"},"modified":"2024-04-29T05:38:02","modified_gmt":"2024-04-28T21:38:02","slug":"45770-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/45770-2\/","title":{"rendered":""},"content":{"rendered":"

Dash\u306f\u53ef\u8996\u5316\u3092\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306b\u884c\u3048\u308b\u30a6\u30a7\u30d6\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3059\u3002\u305d\u3057\u3066Dash\u306b\u306fJupyter\u4e0a\u3067\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u52d5\u4f5c\u3055\u305b\u308bjupyter_dash\u3068\u3044\u3046\u30d1\u30c3\u30b1\u30fc\u30b8\u304c\u5b58\u5728\u3057\u3066\u3044\u307e\u3059\u3002\u305d\u3057\u3066\u6700\u8fd1\u3001Google Colab\u4e0a\u3067jupyter_dash\u304c\u52d5\u4f5c\u3059\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n

\u4eca\u56de\u306fjupyter_dash\u306e\u4f7f\u3044\u65b9\u306b\u52a0\u3048\u3066\u3001Jupyter\u4e0a\u3067Dash\u304c\u4f7f\u3048\u308b\u30e1\u30ea\u30c3\u30c8\u3092\u7d39\u4ecb\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n

\u4eca\u56de\u306f\u30b0\u30fc\u30b0\u30eb\u30b3\u30e9\u30dc\u4e0a\u3067\u5168\u3066\u306e\u4f5c\u696d\u3092\u884c\u3044\u307e\u3059\u3002\u30b5\u30f3\u30d7\u30eb\u306e\u30ce\u30fc\u30c8\u306f\u6b21\u306e\u30ea\u30f3\u30af\u5148\u306b\u3042\u308a\u307e\u3059\u3002<\/p>\n

\u6e96\u5099<\/h2>\n

jupyter_dash\u306f\u30b3\u30e9\u30dc\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002\u3042\u3068\u53ef\u8996\u5316\u306b\u4f7f\u3046plotly\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u304c\u53e4\u3044\u3082\u306e\u306b\u306a\u3063\u3066\u3044\u308b\u306e\u3067\u3001\u66f4\u65b0\u3057\u307e\u3059\u3002<\/p>\n

!pip install jupyter_dash\r\n!pip install --upgrade plotly\r\n<\/code><\/pre>\n
\u6b21\u306b\u4eca\u56de\u5229\u7528\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002<\/p>\n
import dash \r\nfrom jupyter_dash import JupyterDash \r\nimport dash_core_components as dcc \r\nimport dash_html_components as html \r\nimport plotly.express as px\r\nfrom dash.dependencies import Input, Output\r\n<\/code><\/pre>\n
jupyter_dash\u306fJupyter\u4e0a\u3067Dash\u3092\u4f7f\u3046\u305f\u3081\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u3059\u3002dash_core_components\u306f\u69d8\u3005\u306a\u30c4\u30fc\u30eb\u3001dash_html_components\u306fHTML\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3092\u63d0\u4f9b\u3059\u308b\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u3059\u3002plotly.express\u306f\u30b0\u30e9\u30d5\u4f5c\u6210\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u3059\u3002<\/p>\n
\u5b9f\u8df5<\/h2>\n
\u3053\u3053\u304b\u3089\u306fPlotly Express\u306eGapminder\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u9032\u3081\u307e\u3059\u3002Gapminder\u30c7\u30fc\u30bf\u306f1952\u5e74\u304b\u30892007\u5e74\u307e\u3067\u306e\u4e16\u754c\u306e\u56fd\u3005\u306e\u5e73\u5747\u5bff\u547d\u3001\u4eba\u53e3\u30011\u4eba\u5f53\u305f\u308aGDP\u3092\u6301\u3064\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3059\u3002<\/p>\n
gapminder = px.data.gapminder()\r\ngapminder.head()\r\n<\/code><\/pre>\n
\"Image<\/div>\n
\u5e73\u5747\u5bff\u547d\u3092\u7dda\u30b0\u30e9\u30d5\u3067\u53ef\u8996\u5316\uff081\u3064\u306e\u56fd\uff09<\/h3>\n
\u307e\u305a\u306f\u3001\u56fd\u3054\u3068\u306e\u5e73\u5747\u5bff\u547d\u3092\u89b3\u5bdf\u3057\u305f\u3044\u3068\u3057\u307e\u3059\u3002Plotly Express\u306e\u30b0\u30e9\u30d5\u306e\u66f8\u304d\u65b9\u306f\u3001\u6b21\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
    \n
  • \n
      \u63cf\u304d\u305f\u3044\u30b0\u30e9\u30d5\u7a2e\u985e\u306e\u95a2\u6570\u3092\u4f7f\u3046<\/ul>\n<\/li>\n<\/ul>\n
       <\/p>\n
        \n
      • \n
          \u30b0\u30e9\u30d5\u306b\u63cf\u753b\u3057\u305f\u3044\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u6e21\u3059<\/ul>\n<\/li>\n<\/ul>\n
           <\/p>\n
            \u5404\u8981\u7d20\u306b\u5229\u7528\u3059\u308b\u8981\u7d20\u3092\u5f15\u6570\u306b\u6e21\u3059<\/ul>\n
            \u307e\u305a\u306f\u65e5\u672c\u306e\u5e73\u5747\u5bff\u547d\u306e\u63a8\u79fb\u3092\u53ef\u8996\u5316\u3057\u307e\u3059\u3002<\/p>\n
            # \u30b3\u30fc\u30c91\r\njp_gapminder = gapminder[gapminder[\"country\"] == \"Japan\"] # Japan\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u4f5c\u6210\r\npx.line(jp_gapminder, x='year', y=\"lifeExp\") # \u30b0\u30e9\u30d5\u63cf\u753b\r\n<\/code><\/pre>\n
            \"Image<\/div>\n
            \u6b21\u306b\u4e2d\u56fd\u306e\u5e73\u5747\u5bff\u547d\u3092\u89b3\u5bdf\u3057\u305f\u3044\u5834\u5408\u3060\u3068\u3001\u305f\u3044\u3066\u3044\u306e\u5834\u5408\u4e2d\u56fd\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u4f5c\u6210\u3057\u3001\u540c\u3058\u3088\u3046\u306b\u95a2\u6570\u306e\u5f15\u6570\u306b\u30c7\u30fc\u30bf\u3092\u6e21\u3057\u3001\u30b7\u30d5\u30c8\uff0b\u30a8\u30f3\u30bf\u30fc\u3068\u3044\u3046\u611f\u3058\u3067\u5b9f\u884c\u3059\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n
            \u3057\u304b\u3057\u3001jupyter_dash\u3092\u4f7f\u3046\u3068\u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u3092\u9078\u629e\u3059\u308b\u3060\u3051\u3067\u3001\u30b0\u30e9\u30d5\u3092\u5207\u308a\u66ff\u3048\u3089\u308c\u3001\u826f\u3044\u611f\u3058\u306b\u30b7\u30d5\u30c8\u3068\u30a8\u30f3\u30bf\u30fc\u306e\u6469\u8017\u3092\u9632\u3052\u307e\u3059\u3002<\/p>\n
            # \u30b3\u30fc\u30c92\r\n# JupyterDash\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u4f5c\u6210\r\napp = JupyterDash(__name__)\r\n\r\n# layout\u5c5e\u6027\u306b\u30ec\u30a4\u30a2\u30a6\u30c8\u3092\u6e21\u3059\uff08\u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u3068\u30b0\u30e9\u30d5\uff09\r\napp.layout = html.Div([\r\n                       dcc.Dropdown(id=\"my_dropdown\",\r\n                                    options=[{\"value\": cnt, \"label\": cnt} for cnt in gapminder.country.unique()],\r\n                                    value=\"Japan\"\r\n                                    ),\r\n                       dcc.Graph(id=\"my_graph\")\r\n])\r\n\r\n# \u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u306e\u9078\u629e\u5024\u3092\u30b0\u30e9\u30d5\u306b\u53cd\u6620\u3059\u308b\u305f\u3081\u306e\u30b3\u30fc\u30eb\u30d0\u30c3\u30af\u95a2\u6570\r\n@app.callback(Output(\"my_graph\", \"figure\"), Input(\"my_dropdown\", \"value\"))\r\ndef update_graph(selected_country):\r\n  selected_gapminder = gapminder[gapminder[\"country\"] == selected_country]\r\n  return px.line(selected_gapminder, x=\"year\", y=\"lifeExp\")\r\n\r\n# \u30ce\u30fc\u30c8\u4e0a\u3067\u5b9f\u884c\r\napp.run_server(mode=\"inline\")\r\n<\/code><\/pre>\n
            \u4e0a\u306e\u3088\u3046\u306a\u30b3\u30fc\u30c9\u3067\u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u306e\u9078\u629e\u304c\u53cd\u6620\u3055\u308c\u305f\u30b0\u30e9\u30d5\u304c\u63cf\u753b\u3055\u308c\u307e\u3059\u3002<\/p>\n
            \"Image<\/div>\n
            \u5e73\u5747\u5bff\u547d\u3092\u7dda\u30b0\u30e9\u30d5\u3067\u4f5c\u6210\uff08\u8907\u6570\u56fd\uff09<\/h3>\n
            \u8907\u6570\u56fd\u3092\u63cf\u753b\u3059\u308b\u5834\u5408\u3001Plotly Express\u3067\u306f\u8272\uff08\u5f15\u6570color\uff09\u3067\u56fd\u3092\u5206\u3051\u307e\u3059\u3002<\/p>\n
            # \u30b3\u30fc\u30c93\r\ncountry_list = [\"China\", \"Korea, Rep.\", \"Japan\"]\r\nselected_gapminder = gapminder[gapminder[\"country\"].isin(country_list)]\r\npx.line(selected_gapminder, x='year', y=\"lifeExp\", color=\"country\")\r\n<\/code><\/pre>\n
            \"Image<\/div>\n
            \u3053\u308c\u3092\u56fd\u3092\u5165\u308c\u66ff\u3048\u306a\u304c\u3089\u8a73\u7d30\u306b\u898b\u308b\u306e\u306f\u7d50\u69cb\u624b\u9593\u3067\u3059\u3002\u3057\u304b\u3057\u3001jupyter_dash\u3092\u4f7f\u3046\u3068\u5148\u307b\u3069\u306e\u30b3\u30fc\u30c9\u3092\u5c11\u3057\u5909\u3048\u308b\u3060\u3051\u3067\u3001\u6b21\u306e\u3088\u3046\u306a\u611f\u3058\u3067\u7c21\u5358\u306b\u8907\u6570\u56fd\u306e\u8868\u793a\u3092\u5207\u308a\u66ff\u3048\u3089\u308c\u308b\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u304c\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/p>\n
            # \u30b3\u30fc\u30c94\r\napp = JupyterDash(__name__)\r\n\r\napp.layout = html.Div([\r\n                       dcc.Dropdown(id=\"my_dropdown\",\r\n                                    options=[{\"value\": cnt, \"label\": cnt} for cnt in gapminder.country.unique()],\r\n                                    value=[\"Japan\", \"China\", \"Korea, Rep.\"],\u3000# \u278a\r\n                                    multi=True\u3000# \u278b\r\n                                    ),\u3000\r\n                       dcc.Graph(id=\"my_graph\")\r\n])\r\n\r\n@app.callback(Output(\"my_graph\", \"figure\"), Input(\"my_dropdown\", \"value\"))\r\ndef update_graph(selected_country):\r\n  selected_gapminder = gapminder[gapminder[\"country\"].isin(selected_country)] # \u278c\r\n  return px.line(selected_gapminder, x=\"year\", y=\"lifeExp\", color=\"country\")\u3000# \u278d\r\n\r\napp.run_server(mode=\"inline\")\r\n<\/code><\/pre>\n
            \u5909\u66f4\u70b9\u306f\u756a\u53f7\u3092\u632f\u3063\u305f\u3068\u3053\u308d\u3067\u3059\u3002\u278a\u3067\u306f\u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u3067\u8907\u6570\u56fd\u304c\u6700\u521d\u304b\u3089\u9078\u3070\u308c\u308b\u3088\u3046\u306b\u3001\u30ea\u30b9\u30c8\u306b\u5165\u308c\u3066\u56fd\u540d\u3092\u6e21\u3057\u307e\u3059\u3002\u278b\u3067\u306f\u5f15\u6570multi\u306bTrue\u3092\u6e21\u3057\u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u3067\u8907\u6570\u56fd\u3092\u9078\u629e\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002\u278c\u3067\u306f\u8907\u6570\u56fd\u304c\u9078\u629e\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u4f5c\u6210\u3055\u308c\u307e\u3059\u3002\u278d\u3067\u306f\u5f15\u6570color\u306b”country”\u3092\u6e21\u3057\u3001\u7dda\u306e\u8272\u304c\u56fd\u540d\u3054\u3068\u306b\u5909\u66f4\u3055\u308c\u308b\u3088\u3046\u6307\u5b9a\u3057\u307e\u3059\u3002<\/p>\n
            \u4f5c\u6210\u3057\u305f\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306f\u6b21\u306e\u3088\u3046\u306b\u52d5\u4f5c\u3057\u307e\u3059\u3002<\/p>\n
            \"Image<\/div>\n
            \u30c4\u30ea\u30fc\u30de\u30c3\u30d7\u3092\u4f7f\u3063\u3066\u53ef\u8996\u5316<\/h3>\n
            \u6700\u5f8c\u306b\u30c4\u30ea\u30fc\u30de\u30c3\u30d7\u3092\u4f7f\u3063\u305f\u53ef\u8996\u5316\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\u30c4\u30ea\u30fc\u30de\u30c3\u30d7\u3092\u6587\u5b57\u3067\u89e3\u8aac\u3059\u308b\u6587\u7ae0\u529b\u304c\u306a\u3044\u306e\u3067\u3001\u307e\u305a\u4f5c\u6210\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n
            # \u30b3\u30fc\u30c95\r\ngapminder['board'] = 'world' # \"board\"\u5217\u3092\u8ffd\u52a0\u3057\u3001'world'\u3068\u3044\u3046\u6587\u5b57\u5217\u3092\u8ffd\u52a0\u3059\u308b\r\npx.treemap(gapminder, path=['board', 'year', 'country'], values='pop')\r\n<\/code><\/pre>\n
            \"Image<\/div>\n
            \u4eca\u56de\u306f\u4eba\u53e3\u306e\u307f\u3092\u53ef\u8996\u5316\u3057\u3066\u307f\u307e\u3057\u305f\u3002\u30c4\u30ea\u30fc\u30de\u30c3\u30d7\u306f\u6b21\u306e\u3088\u3046\u306b\u52d5\u7684\u306b\u6570\u5024\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002\u30c4\u30ea\u30fc\u30de\u30c3\u30d7\u306f\u30c7\u30fc\u30bf\u3092\u5165\u308c\u5b50\u306b\u3057\u3066\u307f\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u305f\u3081\u3001\u305d\u306e\u9806\u756a\u3092\u5909\u3048\u308b\u3060\u3051\u3067\u3082\u30c7\u30fc\u30bf\u3068\u3057\u3066\u65b0\u305f\u306a\u767a\u898b\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
            \u6b21\u306b\u3001\u30e9\u30b8\u30aa\u30dc\u30bf\u30f3\u3067\u4eba\u53e3\u30011\u4eba\u5f53\u305f\u308aGDP\u306e\u8868\u793a\u3092\u5207\u308a\u66ff\u3048\u306a\u304c\u3089\u3001\u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u3067\u30c4\u30ea\u30fc\u30de\u30c3\u30d7\u306e\u8868\u793a\u9806\u3092\u5207\u308a\u66ff\u3048\u3089\u308c\u308b\u30c4\u30fc\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n
            # \u30b3\u30fc\u30c96\r\napp = JupyterDash(__name__)\r\n\r\napp.layout = html.Div([\r\n                       html.H1(id=\"title\"), # \u30e9\u30b8\u30aa\u30dc\u30bf\u30f3\u306e\u9078\u629e\u3092\u8868\u793a\u3059\u308b\r\n                       dcc.RadioItems(\r\n                           id=\"my_radio\",\r\n                           options=[{\"label\": i, \"value\": i} for i in [\"pop\", \"gdpPercap\"]],\r\n                           value = \"pop\"\r\n                       ),\r\n                       dcc.Dropdown(\r\n                           id=\"my_drop\",\r\n                           options=[{\"label\": i, \"value\": i} for i in ['board', 'year', 'continent', 'country']],\r\n                           value = ['board', 'year', 'continent', 'country'],\r\n                           multi=True\r\n                       ),\r\n                       dcc.Graph(id=\"my_graph\")\r\n])\r\n\r\n@app.callback([Output('title', 'children'),Output('my_graph', \"figure\")], \r\n              [Input(\"my_radio\", \"value\"), Input(\"my_drop\", \"value\")])\r\ndef update_tree(radio_select, drop_select):\r\n# \u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u30673\u3064\u4ee5\u4e0a\u306e\u8981\u7d20\u304c\u9078\u629e\u3055\u308c\u3066\u3044\u308b\u5834\u5408\u306e\u307f\u30b0\u30e9\u30d5\u3092\u63cf\u753b\r\n  if len(drop_select) >= 3: \r\n    return radio_select, px.treemap(gapminder, path=drop_select, values=radio_select)\r\n  else:\r\n    return dash.no_update\r\napp.run_server(mode=\"inline\")\r\n<\/code><\/pre>\n
            30\u884c\u306b\u6e80\u305f\u306a\u3044\u30b3\u30fc\u30c9\u3067\u3059\u304c\u3001\u6b21\u306e\u3088\u3046\u306b\u7d50\u69cb\u8907\u96d1\u306a\u52d5\u4f5c\u3092\u3057\u3066\u304f\u308c\u307e\u3059\u3002<\/p>\n
            \"Image<\/div>\n
            \u307e\u3068\u3081<\/h2>\n
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            \u3042\u3068\u3001PyCon mini Hiroshima2020\u3067\u8a71\u3059\u6a5f\u4f1a\u3092\u3044\u305f\u3060\u3044\u305f\u306e\u3067\u3001\u30a2\u30a4\u30c7\u30a2\u3092\u7df4\u3063\u3066\u3044\u307e\u3059\u3002\u30a4\u30d9\u30f3\u30c8\u306b\u53c2\u52a0\u3044\u305f\u3060\u304d\u3001\u5f53\u65e5\u306e\u30c8\u30fc\u30af\u3092\u805e\u3044\u3066\u3044\u305f\u3060\u3051\u308b\u3068\u5b09\u3057\u3044\u3067\u3059\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"
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