{"id":46133,"date":"2023-07-24T04:36:37","date_gmt":"2024-03-07T17:56:28","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/46133-2\/"},"modified":"2024-04-30T15:03:59","modified_gmt":"2024-04-30T07:03:59","slug":"46133-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/46133-2\/","title":{"rendered":""},"content":{"rendered":"

\u8981\u7d04<\/h1>\n

\u672c\u8a18\u4e8b\u3067\u306f\uff0cJupyter Notebook\u30d5\u30a1\u30a4\u30eb\u3092\u65b0\u898f\u4f5c\u6210\u3057\u305f\u3068\u304d\u306b\uff0c\u30e2\u30b8\u30e5\u30fc\u30eb\u306eimport\u6587\u304c\u30b3\u30fc\u30c9\u3055\u308c\u305f\u30bb\u30eb\u3092\uff0c\u81ea\u52d5\u3067\u633f\u5165\u3059\u308b\u65b9\u6cd5\u3092\u7d39\u4ecb\u3059\u308b\uff0e<\/p>\n

\"sample_movie.gif\"<\/div>\n

Keywords: Jupyter Notebook, Python, default cell, startup cell.<\/p>\n

\u6ce8\u610f<\/h1>\n
    \n
  • \n
      \u672c\u8a18\u4e8b\u3067\u306f\uff0cJupyter Notebook (\u4ee5\u4e0b\uff0cJupyterNB)\u3092\u7528\u3044\u3066Python\u30b3\u30fc\u30c9\u3092\u66f8\u304f\u5834\u5408\u306b\u30d5\u30a9\u30fc\u30ab\u30b9\u3057\u3066\u3044\u308b\uff0e<\/ul>\n<\/li>\n<\/ul>\n

      IPython, Jupyter\u304a\u3088\u3073jupyter_contrib_nbextensions\u306e3\u3064\u306f\u3059\u3067\u306b\u5c0e\u5165\u6e08\u307f\u3067\u3042\u308b\u3053\u3068\u3092\u524d\u63d0\u3068\u3059\u308b\uff0e
      \n\u7b46\u8005\u306fMac\u30e6\u30fc\u30b6\u30fc\u306a\u306e\u3067\uff0cMac\u3067\u306e\u74b0\u5883\u3092\u4f8b\u306b\u3059\u308b\uff0e<\/p>\n

      \u30a4\u30f3\u30c8\u30ed\u30c0\u30af\u30b7\u30e7\u30f3<\/h1>\n

      JupyterNB\u306f\uff0c\u5bfe\u8a71\u7684\u304b\u3064\u90e8\u5206\u7684\u306a\u30b3\u30fc\u30c9\u306e\u5b9f\u884c\u3092\u53ef\u80fd\u3068\u3057\u307e\u3059\uff0e
      \n\u3053\u306e\u7279\u5fb4\u304b\u3089\uff0cJupyterNB\u306f\uff0c\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306b\u6163\u308c\u3066\u3044\u306a\u3044\u7814\u7a76\u8005\u304c\u5b9f\u9a13\u7684\u306b\u30b3\u30fc\u30c9\u3092\u66f8\u304f\u6642\u306b\u91cd\u5b9d\u3055\u308c\u3066\u3044\u307e\u3059\uff0e
      \n\u5b9f\u969b\uff0c\u7b46\u8005\u306f\u5b9f\u9a13\u7cfb\u751f\u7269\u5b66\u8005\u3067\u3059\u304c\uff0cPython\u306b\u3088\u308b\u89e3\u6790\u3092\u884c\u3046\u3046\u3048\u3067\uff0cJupyterNB\u3082\u4f7f\u3063\u3066\u3044\u307e\u3059\uff0e<\/p>\n

      \u672c\u8077\u306e\u30d7\u30ed\u30b0\u30e9\u30de\u3068\u306f\u7570\u306a\u308a\uff0c\u3042\u308b\u7814\u7a76\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u7528\u3044\u308b\u89e3\u6790\u306b\u95a2\u3057\u3066\uff0c\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066\u306f\u6295\u3052\uff0c\u66f8\u3044\u3066\u306f\u6295\u3052\u3059\u308b\u6211\u3005\u304b\u3089\u3059\u308b\u3068\uff0c\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308bPython\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u7fa4\u306f\u304b\u306a\u308a\u5b9a\u578b\u5316\u3055\u308c\u307e\u3059\uff0e
      \n\u305f\u3068\u3048\u3070math, scipy, numpy, pandas, matplotlib\u306f\u6bce\u56de\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3057\uff0cre\u3084Bio, statsmodels\u306a\u3069\u306e\u51fa\u73fe\u7387\u3082\u9ad8\u3044\u3067\u3059\uff0e
      \nJupyterNB\u306e\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7\u6642\u306b\uff0c\u3053\u308c\u3089\u3092\u81ea\u52d5\u7684\u306b\u30a4\u30f3\u30dd\u30fc\u30c8\u3067\u304d\u308c\u3070\u3068\u3066\u3082\u4fbf\u5229\u3067\u3059\uff0e<\/p>\n

      \u3053\u308c\u3092\u884c\u3046\u65b9\u6cd5\u306b\u306f\uff0c\u3044\u304f\u3064\u304b\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3057\u305f\uff0e<\/p>\n

      ipython_config.py\u3092\u7528\u3044\u308b<\/p>\n

      jupyter_contrib_nbextensions\u3092\u7528\u3044\u308b<\/p>\n

      Snippets Menu\u3092\u7528\u3044\u308b<\/p>\n

      Snippets\u3092\u7528\u3044\u308b<\/p>\n

      1\u306eipython_config.py\u3092\u7528\u3044\u308b\u65b9\u6cd5\u306f\uff0cJupyterNB\u306e\u7acb\u3061\u4e0a\u3052\u3068\u540c\u6642\u306b\u30d1\u30c3\u30b1\u30fc\u30b8\u304c\u30a4\u30f3\u30dd\u30fc\u30c8\u3055\u308c\u308b\u306e\u3067\uff0c1\u884c\u76ee\u304b\u3089<\/p>\n

      df<\/span> =<\/span> pd<\/span>.<\/span>read_csv<\/span>(<\/span>'.\/data.csv'<\/span>,<\/span> header<\/span>=<\/span>0<\/span>,<\/span> index_col<\/span>=<\/span>0<\/span>)<\/span>\r\nplt<\/span>.<\/span>scatter<\/span>(<\/span>x<\/span>=<\/span>df<\/span>.<\/span>iloc<\/span>[:,<\/span> 0<\/span>],<\/span> y<\/span>=<\/span>df<\/span>.<\/span>iloc<\/span>[:,<\/span> 1<\/span>])<\/span>\r\nplt<\/span>.<\/span>show<\/span>()<\/span>\r\n<\/code><\/pre>\n
      \u306e\u3088\u3046\u306b\u66f8\u304d\u59cb\u3081\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\uff0e<\/p>\n
      \u3057\u304b\u3057\uff0c\u3053\u306e\u65b9\u6cd5\u306f\uff0cJupyterNB\u30d5\u30a1\u30a4\u30eb\u3092\u5171\u6709\u3059\u308b\u5834\u5408\u306b\u554f\u984c\u304c\u3042\u308a\u307e\u3059\uff0e<\/p>\n
      import<\/span> pandas<\/span> as<\/span> pd<\/span>\r\nimport<\/span> numpy<\/span> as<\/span> np<\/span>\r\nimport<\/span> matplotlib.pyplot<\/span> as<\/span> plt<\/span>\r\n<\/code><\/pre>\n
      \u3068\u3044\u3046import\u6587\u304c\u7121\u3044\u305f\u3081\uff0c\u540c\u3058\u8a2d\u5b9a\u3092ipython_config.py\u306b\u884c\u3063\u3066\u3044\u306a\u3044\u74b0\u5883\u3067\u5b9f\u884c\u3059\u308b\u3068\u30a8\u30e9\u30fc\u304c\u8868\u793a\u3055\u308c\u308b\u3067\u3057\u3087\u3046\uff0e
      \n\u305d\u3082\u305d\u3082\uff0c\u305d\u306e\u30b3\u30fc\u30c9\u304c\u3069\u3046\u3044\u3046\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u7528\u3044\u3066\u3044\u308b\u304b\u306f\uff0c\u3068\u3066\u3082\u5927\u4e8b\u306a\u60c5\u5831\u3067\uff0c\u660e\u793a\u7684\u306b\u8a18\u8f09\u3055\u308c\u3066\u3044\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff0e<\/p>\n
      \u4e00\u65b9\uff0c2\u306ejupyter_contrib_nbextensions\u3092\u7528\u3044\u308b\u65b9\u6cd5\u306f\uff0cimport\u6587\u3092\u30bb\u30eb\u306b\u660e\u793a\u7684\u306b\u8a18\u8f09\u3067\u304d\u307e\u3059\u304c\uff0c\u65b0\u898fJupyterNB\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3057\u305f\u5f8c\uff0c\u30de\u30cb\u30e5\u30a2\u30eb\u3067\u64cd\u4f5c\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff0e
      \n\u305d\u3082\u305d\u3082\uff0c\u30de\u30cb\u30e5\u30a2\u30eb\u64cd\u4f5c\u3092\u3057\u305f\u304f\u306a\u3044\u304b\u3089\u59cb\u3081\u305f\u306e\u3067\uff0c\u3053\u308c\u3067\u306f\u610f\u5473\u304c\u3042\u308a\u307e\u305b\u3093\uff0e<\/p>\n
      \u305d\u3053\u3067\u672c\u8a18\u4e8b\u3067\u306f\uff0cJupyterNB\u30d5\u30a1\u30a4\u30eb\u3092\u65b0\u898f\u4f5c\u6210\u3059\u308b\u3068\u540c\u6642\u306b\uff0c\u81ea\u52d5\u3067\u30e2\u30b8\u30e5\u30fc\u30eb\u306eimport\u6587\u304c\u633f\u5165\u3055\u308c\u308b\u30a8\u30af\u30b9\u30c6\u30f3\u30b7\u30e7\u30f3\u3092\u4f5c\u308b\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3059\uff0e<\/p>\n
      \u624b\u9806<\/h1>\n
      1. jupyter_contrib_nbextensions\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b<\/h2>\n
      \u672c\u8a18\u4e8b\u3067\u306f\u7701\u7565\u3057\u307e\u3059\uff0e
      \n\u30b0\u30b0\u308b\u306a\u308aQiita\u3067\u691c\u7d22\u3059\u308b\u306a\u308a\u3059\u308c\u3070\uff0c\u305f\u304f\u3055\u3093\u8a18\u4e8b\u304c\u3067\u3066\u304d\u307e\u3059\uff0e<\/p>\n
      2. nbextensions\u306e\u30d1\u30b9\u3092\u8abf\u3079\u308b<\/h2>\n
      \u7b46\u8005\u306f\/usr\/local\/share\/jupyter\/nbextensions\/\u3068\u3044\u3046\u30d1\u30b9\u306b\uff0c\u81ea\u52d5\u633f\u5165\u306e\u30a8\u30af\u30b9\u30c6\u30f3\u30b7\u30e7\u30f3\u3092\u3044\u308c\u3066\u3044\u307e\u3059\uff0e
      \n\u305d\u306e\u4ed6\u306e\u30d1\u30b9\u3092\u8abf\u3079\u305f\u3044\u3068\u304d\u306f\uff0c<\/p>\n
      python -c<\/span> \"from jupyter_core.paths import jupyter_path; print(jupyter_path())\"<\/span>\r\n<\/code><\/pre>\n
      \u3068\u3044\u3046\u30b3\u30de\u30f3\u30c9\u3092\u6253\u3063\u3066\u304f\u3060\u3055\u3044\uff0e
      \n\u3067\u3066\u304d\u305f\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306e\u4e2d\u3067\uff0cnbextensions\u3068\u3044\u3046\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3092\u542b\u3080\u3082\u306e\u3092\u9078\u3079\u3070\u3088\u3044\u3067\u3059\uff0e
      \n\u305f\u3068\u3048\u3070\u5171\u6709\u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u3063\u3066\u3044\u308b\u306a\u3089\u3070~\/Library\/Jupyter\/nbextensions\u307f\u305f\u3044\u306a\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u304c\u9069\u3057\u3066\u3044\u307e\u3059\uff0e<\/p>\n
      3. \u30a8\u30af\u30b9\u30c6\u30f3\u30b7\u30e7\u30f3\u3092\u4f5c\u308b<\/h2>\n
      \u4e0a\u8a18\u306e\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u5185\u306b\uff0cjupyterNB_startup_cells\u3068\u3044\u3046\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3092\u4f5c\u308a\u307e\u3057\u3087\u3046\uff0e\u3064\u3044\u3067\u306b\uff0c\u30a8\u30af\u30b9\u30c6\u30f3\u30b7\u30e7\u30f3\u306b\u5fc5\u8981\u306a\u30d5\u30a1\u30a4\u30eb\u3082\u4f5c\u3063\u3066\u304a\u304d\u307e\u3057\u3087\u3046;<\/p>\n
      cd<\/span> \"2\u3067\u8abf\u3079\u305f\u30d1\u30b9\"<\/span>\r\nmkdir <\/span>jupyterNB_startup_cells\r\ncd <\/span>jupyterNB_startup_cells\r\ntouch <\/span>README.md main.js jupyterNB_startup_cells.yaml\r\n<\/code><\/pre>\n
      README.md\u306f\u7a7a\u3067\u3082\u826f\u3044\u306e\u3067\uff0c\u307e\u305a\u306f\u5fc3\u81d3\u90e8\u306emain.js\u3092\u66f8\u304d\u307e\u3057\u3087\u3046\uff0e\u79c1\u306e\u8a2d\u5b9a\u306f\u3053\u3093\u306a\u611f\u3058\u3067\u3059;<\/p>\n
      define<\/span>([<\/span>\r\n    '<\/span>base\/js\/namespace<\/span>'<\/span>\r\n],<\/span> function<\/span>(<\/span>\r\n    Jupyter<\/span>\r\n)<\/span> {<\/span>\r\n    function<\/span> load_ipython_extension<\/span>()<\/span> {<\/span>\r\n      if<\/span> (<\/span>Jupyter<\/span>.<\/span>notebook<\/span>.<\/span>get_cells<\/span>().<\/span>length<\/span>===<\/span>1<\/span>){<\/span>\r\n        Jupyter<\/span>.<\/span>notebook<\/span>.<\/span>insert_cell_above<\/span>(<\/span>'<\/span>code<\/span>'<\/span>,<\/span> 0<\/span>).<\/span>set_text<\/span>(<\/span>\"<\/span>\\<\/span>\r\nimport scipy<\/span>\\n\\<\/span>\r\nimport numpy as np<\/span>\\n\\<\/span>\r\nimport pandas as pd<\/span>\\n\\<\/span>\r\nimport matplotlib as mpl<\/span>\\n\\<\/span>\r\nimport matplotlib.pyplot as plt<\/span>\\n\\<\/span>\r\nfrom matplotlib import rcParams<\/span>\\n\\<\/span>\r\n# import seaborn as sns<\/span>\\n\\<\/span>\r\n\\n\\<\/span>\r\n%matplotlib inline<\/span>\\n\\<\/span>\r\n%config InlineBackend.figure_formats = {'png', 'retina'}<\/span>\\n\\<\/span>\r\n%alias_magic t time<\/span>\\n\\<\/span>\r\n\\n\\<\/span>\r\n# import re<\/span>\\n\\<\/span>\r\n# import Bio<\/span>\\n\\<\/span>\r\n# from datetime import datetime<\/span>\\n\\<\/span>\r\n# import collections<\/span>\\n\\<\/span>\r\n\\n\\<\/span>\r\n# import statsmodels.stats as stats<\/span>\\n\\<\/span>\r\n# import statsmodels.stats.multicomp as multi<\/span>\\n\\<\/span>\r\n# import statsmodels.formula.api as smf<\/span>\\n\\<\/span>\r\n# import scikit_posthocs as sp<\/span>\"<\/span>);<\/span>\r\n      }<\/span>\r\n    }<\/span>\r\n    return<\/span> {<\/span>\r\n        load_ipython_extension<\/span>:<\/span> load_ipython_extension<\/span>\r\n    };<\/span>\r\n});<\/span>\r\n<\/code><\/pre>\n
      \u3082\u3046\u3072\u3068\u3064\uff0cyaml\u3082\u30a8\u30af\u30b9\u30c6\u30f3\u30b7\u30e7\u30f3\u3092\u52d5\u304b\u3059\u305f\u3081\u306b\u5fc5\u8981\u3067\u3059;<\/p>\n
      Type<\/span>:<\/span> IPython Notebook Extension<\/span>\r\nCompatibility<\/span>:<\/span> 3.x, 4.x<\/span>\r\nName<\/span>:<\/span> JupyterNB Startup Cells<\/span>\r\nMain<\/span>:<\/span> main.js<\/span>\r\nLink<\/span>:<\/span> README.md<\/span>\r\nDescription<\/span>:<\/span> \u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7\u6642\u306b\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u30bb\u30eb\u3092\u633f\u5165\u3059\u308b<\/span>\r\nParameters<\/span>:<\/span>\r\n-<\/span> none<\/span>\r\n<\/code><\/pre>\n
      4. \u30a8\u30af\u30b9\u30c6\u30f3\u30b7\u30e7\u30f3\u3092\u6709\u52b9\u5316\u3059\u308b<\/h2>\n
      jupyter nbextension enable <\/span>jupyterNB_startup_cells\/main\r\n<\/code><\/pre>\n
      \u62e1\u5f35<\/h1>\n
      \u30bb\u30eb\u3092\u8907\u6570\u5165\u308c\u305f\u3044\u3068\u304d\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306b\uff0cJupyter.notebook.insert_cell_above(‘code’, N)\u306eN\u3092\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30c8\u3059\u308b\uff0e<\/p>\n
      define<\/span>([<\/span>\r\n    '<\/span>base\/js\/namespace<\/span>'<\/span>\r\n],<\/span> function<\/span>(<\/span>\r\n    Jupyter<\/span>\r\n)<\/span> {<\/span>\r\n    function<\/span> load_ipython_extension<\/span>()<\/span> {<\/span>\r\n      if<\/span> (<\/span>Jupyter<\/span>.<\/span>notebook<\/span>.<\/span>get_cells<\/span>().<\/span>length<\/span>===<\/span>1<\/span>){<\/span>\r\n        Jupyter<\/span>.<\/span>notebook<\/span>.<\/span>insert_cell_above<\/span>(<\/span>'<\/span>code<\/span>'<\/span>,<\/span> 0<\/span>).<\/span>set_text<\/span>(<\/span>\"<\/span>\\<\/span>\r\nimport numpy as np<\/span>\"<\/span>);<\/span>\r\n        Jupyter<\/span>.<\/span>notebook<\/span>.<\/span>insert_cell_above<\/span>(<\/span>'<\/span>code<\/span>'<\/span>,<\/span> 1<\/span>).<\/span>set_text<\/span>(<\/span>\"<\/span>\\<\/span>\r\nimport pandas as pd<\/span>\"<\/span>);<\/span>\r\n        Jupyter<\/span>.<\/span>notebook<\/span>.<\/span>insert_cell_above<\/span>(<\/span>'<\/span>code<\/span>'<\/span>,<\/span> 2<\/span>).<\/span>set_text<\/span>(<\/span>\"<\/span>\\<\/span>\r\nimport matplotlib.pyplot as plt<\/span>\"<\/span>);<\/span>\r\n        \/\/ Jupyter.notebook.insert_cell_above('code', 3).set_text(\"\\<\/span>\r\n\/\/ # import hogehoge\");<\/span>\r\n        \/\/ ...<\/span>\r\n      }<\/span>\r\n    }<\/span>\r\n    return<\/span> {<\/span>\r\n        load_ipython_extension<\/span>:<\/span> load_ipython_extension<\/span>\r\n    };<\/span>\r\n});<\/span>\r\n<\/code><\/pre>\n
      \n
      \u53c2\u8003\u8a18\u4e8b<\/p>\n","protected":false},"excerpt":{"rendered":"
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