{"id":46514,"date":"2023-01-31T19:37:51","date_gmt":"2022-12-16T08:53:28","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/46514-2\/"},"modified":"2024-04-29T12:25:56","modified_gmt":"2024-04-29T04:25:56","slug":"46514-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/46514-2\/","title":{"rendered":""},"content":{"rendered":"

\u76ee\u7684<\/h2>\n

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\n\u7686\u3055\u3093\u306enotebook\u306b\u5c11\u3057\u3067\u3082\u5f79\u306b\u7acb\u3064\u60c5\u5831\u304c\u3042\u308c\u3070\u5e78\u3044\u3067\u3059\uff01<\/p>\n

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\"notebook_sample.png\"<\/div>\n

Jupyter notebook\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h2>\n

Anaconda\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u304c\u307e\u3060\u3063\u3066\u65b9\u306f\u3001\u3053\u3061\u3089(Individual Edition – Anaconda)\u304b\u3089\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u51fa\u6765\u307e\u3059\uff01<\/p>\n

\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u306b\u95a2\u3057\u3066\u306f\u3001\u82f1\u8a9e\u3067\u3059\u304c\u3001\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u6307\u793a\u306b\u5f93\u3046\u3060\u3051\u306a\u306e\u3067\u3001\u6b21\u3078\u9032\u307f\u305f\u3044\u3068\u601d\u3044\u307e\u3059\uff01<\/p>\n

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       <\/p>\n

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          noteboook\u306e\u30c6\u30fc\u30de\u306e\u5909\u66f4<\/ul>\n<\/li>\n<\/ul>\n

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                      \u30b0\u30e9\u30d5\u306e\u30d5\u30a9\u30fc\u30de\u30c3\u30c8<\/ul>\n<\/li>\n<\/ul>\n

                       <\/p>\n

                        \u6700\u5f8c\u306b\u5c11\u3057\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3067\u904a\u3076<\/ul>\n

                        \u57fa\u672c\u7684\u306b\u306f\u4e0a\u304b\u3089\u9806\u756a\u306b\u3084\u3063\u3066\u3044\u3051\u3070\u3001\u79c1\u3068\u540c\u3058\u3088\u3046\u306anotebook\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002<\/p>\n

                        \u30b3\u30fc\u30c9\u306e\u547d\u540d\u898f\u5247\u306b\u81ea\u52d5\u4fee\u6b63(Black)<\/h2>\n

                        \u3053\u3061\u3089\u306f\u3001\u30b3\u30fc\u30c9\u3092\u66f8\u304d\u904e\u304e\u3066\u6587\u6cd5\u304c\u826f\u304f\u5206\u304b\u3089\u306a\u304f\u306a\u3063\u305f\u6642\u306b\u3001\u30ef\u30f3\u30af\u30ea\u30c3\u30af\u3067\u7dba\u9e97\u306b\u3057\u3066\u304f\u308c\u307e\u3059\u3002<\/p>\n

                        \"demo.gif\"<\/div>\n
                        jupyter nbextension install https:\/\/github.com\/drillan\/jupyter-black\/archive\/master.zip --user\r\njupyter nbextension enable jupyter-black-master\/jupyter-black\r\n<\/code><\/pre>\n
                        \u3053\u3061\u3089\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308c\u3070\u3001jupyter notebook\u306e\u30c4\u30fc\u30eb\u30d0\u30fc\u306bBlack\u3068\u3044\u3046\u30dc\u30bf\u30f3\u304c\u4f5c\u3089\u308c\u308b\u306e\u3067\u3001\u305d\u308c\u3092\u30af\u30ea\u30c3\u30af\u3059\u308b\u3060\u3051\u3067\u30bb\u30eb\u5185\u306e\u30b3\u30fc\u30c9\u304cPEP8\u306b\u5f93\u3063\u3066\u898f\u5247\u6b63\u3057\u304f\u306a\u308a\u307e\u3059\u3002<\/p>\n
                        \u53c2\u8003: https:\/\/github.com\/drillan\/jupyter-black<\/p>\n
                        notebook\u306e\u30c6\u30fc\u30de\u306e\u5909\u66f4<\/h2>\n
                        \u3053\u3061\u3089\u3067\u306f\u3001notebook\u306e\u30c6\u30fc\u30de\u3092\u5909\u66f4\u3057\u307e\u3059\u3002\u79c1\u304c\u4f7f\u3063\u3066\u3044\u308b\u30c6\u30fc\u30de\u306fonedork\u3068\u3044\u3046\u30c6\u30fc\u30de\u3067\u3059\u3002<\/p>\n
                        # install jupyterthemes\r\npip install jupyterthemes\r\n\r\njt -t onedork -T -N -kl\r\n<\/code><\/pre>\n
                        \u30aa\u30d7\u30b7\u30e7\u30f3\u306f\u3001\u30c4\u30fc\u30eb\u30d0\u30fc\u3001\u540d\u524d\u3001\u30ed\u30b4\u7b49\u3092\u8868\u793a\u3059\u308b\u305f\u3081\u3067\u3059\u3002\u30aa\u30d7\u30b7\u30e7\u30f3\u3092\u4ed8\u3051\u306a\u304b\u3063\u305f\u5834\u5408\u3001\u30c4\u30fc\u30eb\u30d0\u30fc\u7b49\u304c\u8868\u793a\u3055\u308c\u306a\u304f\u306a\u308a\u307e\u3059\u3002
                        \n\u307e\u305f\u3001\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3082\u3001\u65e2\u306b\u958b\u3044\u3066\u3044\u308bnotebook\u306b\u306f\u53cd\u6620\u3055\u308c\u305a\u3001\u53cd\u6620\u3055\u308c\u305fnotebook\u3092\u898b\u305f\u3044\u5834\u5408\u306f\u3001\u65b0\u898f\u3067notebook\u3092\u7acb\u3061\u4e0a\u3052\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
                        \u53c2\u8003:https:\/\/github.com\/dunovank\/jupyter-themes<\/p>\n
                        \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u5316\u3059\u308b<\/h2>\n
                        pip<\/span> install<\/span> jupyter_contrib_nbextensions<\/span>\r\n\r\njupyter<\/span> contrib<\/span> nbextension<\/span> install<\/span> --<\/span>user<\/span>\r\n\r\npip<\/span> install<\/span> jupytemplate<\/span>\r\n\r\njupyter<\/span> nbextension<\/span> install<\/span> --<\/span>py<\/span> jupytemplate<\/span> --<\/span>sys<\/span>-<\/span>prefix<\/span>\r\n\r\njupyter<\/span> nbextension<\/span> enable<\/span> jupytemplate<\/span>\/<\/span>main<\/span> --<\/span>sys<\/span>-<\/span>prefix<\/span>\r\n<\/code><\/pre>\n
                        \u3053\u308c\u3067\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u5316\u306e\u6e96\u5099\u306f\u51fa\u6765\u307e\u3057\u305f\u3002
                        \n\u6b21\u306b\u3001\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u306e\u7de8\u96c6\u3067\u3059\u3002
                        \n\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u306e\u5834\u6240\u306f\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3044\u305f\u3060\u3044\u3066\u3001notebook\u30d5\u30a1\u30a4\u30eb\u3092\u76f4\u63a5\u5f04\u308a\u307e\u3059\u3002<\/p>\n
                        import<\/span> jupytemplate<\/span>\r\nprint<\/span>(<\/span>jupytemplate<\/span>.<\/span>get_template_path<\/span>())<\/span>\r\n<\/code><\/pre>\n
                        notebook\u30d5\u30a1\u30a4\u30eb\u3092\u5f04\u308a\u7d42\u308f\u3063\u305f\u3089\u6b21\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5165\u529b\u3057\u3066\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3092\u53cd\u6620\u3055\u305b\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
                        jupyter nbextension install --py jupytemplate --sys-prefix\r\njupyter nbextension enable jupytemplate\/main --sys-prefix\r\n<\/code><\/pre>\n
                        \u53c2\u8003: https:\/\/github.com\/xtreamsrl\/jupytemplate<\/p>\n
                        \u6a2a\u5e45\u5909\u66f4<\/h2>\n
                        \u524d\u306e\u7ae0\u3067\u4f5c\u3063\u305f\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u306e\u753b\u9762\u306b\u6b21\u306e\u30b3\u30de\u30f3\u30c9\u3092\u8cbc\u308a\u4ed8\u3051\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
                        \u3053\u308c\u306f\u3001\u6a2a\u753b\u9762\u4f7f\u3063\u3066\u3044\u308b\u4eba\u304c\u3088\u304f\u76f4\u9762\u3059\u308b\u554f\u984c\u3067\u3059\u304c\u3001\u6a2a\u306e\u4f59\u767d\u304c\u7121\u99c4\u306b\u591a\u304f\u3001\u30b3\u30fc\u30c9\u3084\u30c6\u30fc\u30d6\u30eb\u3001\u30b0\u30e9\u30d5\u304c\u898b\u3048\u306a\u304f\u306a\u308b\u3053\u3068\u304c\u826f\u304f\u3042\u308a\u307e\u3059\u3002
                        \n\u3053\u308c\u306e\u5bfe\u51e6\u3092\u3057\u305f\u3044\u65b9\u306f\u3001\u6a2a\u5e45\u3092\u5e83\u304f\u3059\u308b\u3053\u3068\u3092\u304a\u52e7\u3081\u3044\u305f\u3057\u307e\u3059\u3002<\/p>\n
                        %%<\/span>HTML<\/span>\r\n<<\/span>style<\/span>><\/span>\r\n    div<\/span>#notebook-container    { width: 95%; }\r\n<\/span>    div<\/span>#menubar-container     { width: 65%; }\r\n<\/span>    div<\/span>#maintoolbar-container { width: 99%; }\r\n<\/span><\/<\/span>style<\/span>><\/span>\r\n<\/code><\/pre>\n
                        \u30b0\u30e9\u30d5\u306e\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u7b49<\/h2>\n
                        \u6b21\u306b\u7dba\u9e97\u306a\u30b0\u30e9\u30d5\u3092\u4f5c\u308b\u305f\u3081\u306b\u3001\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u8272\u3005\u3068\u8a2d\u5b9a\u3059\u308b\u3068\u4fbf\u5229\u3067\u3059\u3002
                        \n\u6b21\u306e\u30b3\u30de\u30f3\u30c9\u3092\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u306b\u8cbc\u308a\u4ed8\u3051\u3066\u304f\u3060\u3055\u3044\u3002
                        \n\u305f\u3060\u3057\u3001\u6a2a\u5e45\u5909\u66f4\u3068\u66f8\u3044\u305f\u30b3\u30de\u30f3\u30c9\u3068\u306f\u5225\u306e\u30bb\u30eb\u306b\u8cbc\u308a\u4ed8\u3051\u3066\u304f\u3060\u3055\u3044\u3002\u7406\u7531\u306f\u3001%%HTML\u3068\u66f8\u3044\u3066\u3042\u308b\u306e\u3067\u3001\u305d\u306e\u30bb\u30eb\u3067\u306f\u3001HTML\u3092\u5b9f\u884c\u3057\u3066\u3057\u307e\u3046\u305f\u3081\u3001python\u30b3\u30de\u30f3\u30c9\u304c\u5b9f\u884c\u3067\u304d\u306a\u3044\u304b\u3089\u3067\u3059\u3002<\/p>\n
                        # Data manipulation\r\n<\/span>import<\/span> pandas<\/span> as<\/span> pd<\/span>\r\nimport<\/span> numpy<\/span> as<\/span> np<\/span>\r\n\r\n# Options for pandas\r\n<\/span>pd<\/span>.<\/span>options<\/span>.<\/span>display<\/span>.<\/span>max_columns<\/span> =<\/span> 50<\/span>\r\npd<\/span>.<\/span>options<\/span>.<\/span>display<\/span>.<\/span>max_rows<\/span> =<\/span> 30<\/span>\r\n\r\n# Visualizations\r\n# import jtplot module in notebook\r\n<\/span>from<\/span> jupyterthemes<\/span> import<\/span> jtplot<\/span>\r\n\r\n# choose which theme to inherit plotting style from\r\n# onedork | grade3 | oceans16 | chesterish | monokai | solarizedl | solarizedd\r\n<\/span>jtplot<\/span>.<\/span>style<\/span>(<\/span>theme<\/span>=<\/span>'onedork'<\/span>)<\/span>\r\n\r\n# set \"context\" (paper, notebook, talk, poster)\r\n# scale font-size of ticklabels, legend, etc.\r\n# remove spines from x and y axes and make grid dashed\r\n<\/span>jtplot<\/span>.<\/span>style<\/span>(<\/span>context<\/span>=<\/span>'talk'<\/span>,<\/span> fscale<\/span>=<\/span>1.4<\/span>,<\/span> spines<\/span>=<\/span>False<\/span>,<\/span> gridlines<\/span>=<\/span>'--'<\/span>)<\/span>\r\n\r\n# turn on X- and Y-axis tick marks (default=False)\r\n# turn off the axis grid lines (default=True)\r\n# and set the default figure size\r\n<\/span>jtplot<\/span>.<\/span>style<\/span>(<\/span>ticks<\/span>=<\/span>True<\/span>,<\/span> grid<\/span>=<\/span>False<\/span>,<\/span> figsize<\/span>=<\/span>(<\/span>6<\/span>,<\/span> 4.5<\/span>))<\/span>\r\n\r\nimport<\/span> matplotlib.pyplot<\/span> as<\/span> plt<\/span>\r\n%<\/span>matplotlib<\/span> inline<\/span>\r\nimport<\/span> seaborn<\/span> as<\/span> sns<\/span>\r\nimport<\/span> cufflinks<\/span> as<\/span> cf<\/span>\r\ncf<\/span>.<\/span>set_config_file<\/span>(<\/span>offline<\/span>=<\/span>True<\/span>,<\/span> theme<\/span>=<\/span>\"space\"<\/span>,<\/span> offline_show_link<\/span>=<\/span>False<\/span>)<\/span>\r\n\r\n# Autoreload extension\r\n<\/span>if<\/span> 'autoreload'<\/span> not<\/span> in<\/span> get_ipython<\/span>().<\/span>extension_manager<\/span>.<\/span>loaded<\/span>:<\/span>\r\n    %<\/span>load_ext<\/span> autoreload<\/span>\r\n\r\n%<\/span>autoreload<\/span> 2<\/span>\r\n<\/code><\/pre>\n
                        \u6700\u5f8c\u306b\u904a\u3076<\/h2>\n
                        \u4e0a\u3067\u5b9f\u884c\u3057\u305f\u30b3\u30fc\u30c9\u3067\u8db3\u308a\u306a\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u306fpip install\u3067\u9069\u5b9c\u88dc\u3063\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
                        \u65e5\u7d4c\u5e73\u5747\u682a\u4fa1\u3092\u5c11\u3057\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
                        from<\/span> datetime<\/span> import<\/span> datetime<\/span>\r\nimport<\/span> pandas_datareader.data<\/span> as<\/span> web<\/span>\r\n\r\nstart<\/span> =<\/span> datetime<\/span>(<\/span>2000<\/span>,<\/span> 1<\/span>,<\/span> 1<\/span>)<\/span>\r\nend<\/span> =<\/span> datetime<\/span>(<\/span>2020<\/span>,<\/span> 12<\/span>,<\/span> 3<\/span>)<\/span>\r\nsymbol<\/span> =<\/span> \"^N225\"<\/span>\r\ndf<\/span> =<\/span> web<\/span>.<\/span>DataReader<\/span>(<\/span>symbol<\/span>,<\/span> 'yahoo'<\/span>,<\/span> start<\/span>,<\/span> end<\/span>)<\/span>\r\ndf<\/span>\r\n<\/code><\/pre>\n
                        \"get_data.png\"<\/div>\n
                        \u6b21\u306b\u3001\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
                        qf<\/span> =<\/span> cf<\/span>.<\/span>QuantFig<\/span>(<\/span>df<\/span>,<\/span> title<\/span>=<\/span>\"Nikkei 225\"<\/span>,<\/span> legend<\/span>=<\/span>'top'<\/span>,<\/span> name<\/span>=<\/span>\"N225\"<\/span>)<\/span>\r\nqf<\/span>.<\/span>add_bollinger_bands<\/span>()<\/span>\r\nqf<\/span>.<\/span>add_sma<\/span>([<\/span>10<\/span>,<\/span>20<\/span>],<\/span>width<\/span>=<\/span>2<\/span>,<\/span>color<\/span>=<\/span>[<\/span>'green'<\/span>,<\/span>'lightgreen'<\/span>],<\/span>legendgroup<\/span>=<\/span>True<\/span>)<\/span>\r\nqf<\/span>.<\/span>add_rsi<\/span>(<\/span>periods<\/span>=<\/span>20<\/span>,<\/span>color<\/span>=<\/span>'java'<\/span>)<\/span>\r\nqf<\/span>.<\/span>add_bollinger_bands<\/span>(<\/span>periods<\/span>=<\/span>20<\/span>,<\/span>boll_std<\/span>=<\/span>2<\/span>,<\/span>colors<\/span>=<\/span>[<\/span>'magenta'<\/span>,<\/span>'grey'<\/span>],<\/span>fill<\/span>=<\/span>True<\/span>)<\/span>\r\nqf<\/span>.<\/span>add_volume<\/span>()<\/span>\r\nqf<\/span>.<\/span>add_macd<\/span>()<\/span>\r\nqf<\/span>.<\/span>iplot<\/span>()<\/span>\r\n<\/code><\/pre>\n
                        \u6b21\u306e\u3088\u3046\u306a\u30b0\u30e9\u30d5\u304c\u51fa\u307e\u3059\u3002\u3057\u304b\u3082\u3001\u30b0\u30e9\u30d5\u306fplotly\u306a\u306e\u3067\u3001\u89e6\u308b\u3053\u3068\u3082\u51fa\u6765\u307e\u3059\u3002<\/p>\n
                        \"plot_data.png\"<\/div>\n
                        \u53c2\u8003: https:\/\/github.com\/santosjorge\/cufflinks
                        \n\u53c2\u8003: https:\/\/plotly.com\/python\/<\/p>\n
                        \u307e\u3068\u3081<\/h2>\n
                        \u3044\u304b\u304c\u3060\u3063\u305f\u3067\u3057\u3087\u3046\u304b\uff1f
                        \n\u3082\u3063\u3068\u30ab\u30c3\u30b3\u3044\u3044\u30c6\u30fc\u30de\u3082\u3042\u308b\u3068\u601d\u3044\u307e\u3059\u306e\u3067\u3001\u305d\u3053\u306f\u304a\u597d\u307f\u306b\u4ed5\u4e0a\u3052\u3066\u304f\u308c\u308b\u3068\u5e78\u3044\u3067\u3059\uff01
                        \n\u826f\u304b\u3063\u305f\u3089\u662f\u975e\u8a66\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\uff01\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"
                        \u76ee\u7684 \u79c1\u306f\u3001\u4e3b\u306b\u6295\u8cc7\u3092\u5b9a\u91cf\u7684\u306b\u5206\u6790\u3059\u308b\u3053\u3068\u3092\u751f\u696d\u3068\u3057\u3066\u304a\u308a\u3001jupyter notebook\u3082\u611b\u7528\u3057\u3066\u3044\u307e\u3059\u3002 […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-46514","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n- Blog - Silicon Cloud<\/title>\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\/zh\/blog\/46514-2\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:description\" content=\"\u76ee\u7684 \u79c1\u306f\u3001\u4e3b\u306b\u6295\u8cc7\u3092\u5b9a\u91cf\u7684\u306b\u5206\u6790\u3059\u308b\u3053\u3068\u3092\u751f\u696d\u3068\u3057\u3066\u304a\u308a\u3001jupyter notebook\u3082\u611b\u7528\u3057\u3066\u3044\u307e\u3059\u3002 […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/46514-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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