{"id":46245,"date":"2023-08-24T20:17:22","date_gmt":"2023-03-21T20:53:40","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/46245-2\/"},"modified":"2024-04-30T19:57:18","modified_gmt":"2024-04-30T11:57:18","slug":"46245-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/46245-2\/","title":{"rendered":""},"content":{"rendered":"

\u306f\u3058\u3081\u306b<\/h1>\n

\u30c7\u30fc\u30bf\u5206\u6790\u306a\u3069\u306e\u79d1\u5b66\u6280\u8853\u8a08\u7b97\u3067Jupyter notebook(Python)\u306f\u3001\u30b9\u30bf\u30f3\u30c0\u30fc\u30c9\u3068\u3044\u3048\u308b\u3067\u3057\u3087\u3046\u3002
\n\u3053\u3053\u3067\u306f\u3001docker\u3092\u4f7f\u3063\u3066\u3001\u7c21\u5358\u306b\u59cb\u3081\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n

DockerToolbox\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h1>\n

DockerToolbox\u306e\u30b5\u30a4\u30c8(\u4e0b\u8a18)\u304b\u3089\u30a4\u30f3\u30b9\u30c8\u30fc\u30e9\u30fc\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u5b9f\u884c\u3057\u3066\u304f\u3060\u3055\u3044\u3002
\nhttps:\/\/www.docker.com\/products\/docker-toolbox<\/p>\n

\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306f\u3001\u96e3\u3057\u304f\u306a\u3044\u3067\u3059\u304c\u3001\u5fc5\u8981\u3067\u3042\u308c\u3070\u3001\u53c2\u8003\u30ea\u30f3\u30af\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

Linux\u306e\u5834\u5408\u306f\u3001\u4e0b\u8a18\u306e\u3088\u3046\u306b\u3057\u3066 docker\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\u3002<\/p>\n

wget -qO-<\/span> https:\/\/get.docker.com\/ | sh\r\n<\/code><\/pre>\n
Jupyter\u306e\u8d77\u52d5<\/h1>\n
Linux\u3067\u5b9f\u884c\u3059\u308b\u5834\u5408<\/h2>\n
\u4e0b\u8a18\u306e\u3088\u3046\u306b\u3057\u3066\u304f\u3060\u3055\u30441\u3002<\/p>\n
mkdir <\/span>jupyter\r\ndocker run -it<\/span> -d<\/span> -p<\/span> 8888:8888 -v<\/span> $PWD<\/span>\/jupyter:\/home\/jupyter \\<\/span>\r\n  --name<\/span> jupyter tsutomu7\/alpine-python:jupyter\r\nfirefox localhost:8888\r\n<\/code><\/pre>\n
\u30b3\u30f3\u30c6\u30ca\u3092\u7d42\u4e86\u3057\u3066\u524a\u9664\u3059\u308b\u5834\u5408\u306f\u3001\u6b21\u306e\u3088\u3046\u306b\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
docker rm<\/span> -f<\/span> jupyter\r\n<\/code><\/pre>\n
Windows\u3084Mac\u3067\u5b9f\u884c\u3059\u308b\u5834\u5408<\/h2>\n
DockerToolbox\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3068\u3001Kitematic\u3068\u3044\u3046\u30c4\u30fc\u30eb\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u307e\u3059\u3002
\nKitematic\u3092\u8d77\u52d5\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u521d\u56de\u306e\u8d77\u52d5\u3067\u306f\u3001DockerHub\u306e\u30ed\u30b0\u30a4\u30f3\u753b\u9762\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u304c\u3001\u30b9\u30ad\u30c3\u30d7\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\"image\"<\/div>\n
\"image\"<\/div>\n
\"image\"<\/div>\n
\"image\"<\/div>\n
\"image\"<\/div>\n
\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u304c\u306f\u3058\u307e\u308a\u3001\u3057\u3070\u3089\u304f\u3059\u308b\u3068\u4e0b\u8a18\u306e\u3088\u3046\u306b\u30b3\u30f3\u30c6\u30ca\u304c\u8d77\u52d5\u3057\u307e\u3059\u3002<\/p>\n
\"image\"<\/div>\n
\u3084\u3063\u3066\u307f\u308b<\/h1>\n
\"image\"<\/div>\n
\u30b0\u30e9\u30d5<\/h2>\n
\u30bb\u30eb\u306b\u4e0b\u8a18\u3092\u5165\u529b\u3057\u3066\u3001Shift\u30ad\u30fc\u3092\u62bc\u3057\u306a\u304c\u3089Enter\u30ad\u30fc\u3092\u62bc\u3057\u3066\u5b9f\u884c\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
%<\/span>matplotlib<\/span> inline<\/span>\r\nimport<\/span> matplotlib.pyplot<\/span> as<\/span> plt<\/span>\r\nplt<\/span>.<\/span>rcParams<\/span>[<\/span>'font.family'<\/span>]<\/span> =<\/span> 'IPAexGothic'<\/span>\r\nplt<\/span>.<\/span>plot<\/span>([<\/span>2<\/span>,<\/span>1<\/span>,<\/span>3<\/span>],<\/span> label<\/span>=<\/span>'\u30b5\u30f3\u30d7\u30eb'<\/span>)<\/span>\r\nplt<\/span>.<\/span>legend<\/span>();<\/span>\r\n<\/code><\/pre>\n
\"image\"<\/div>\n
\u6700\u9069\u5316<\/h2>\n
\u30bb\u30eb\u306b\u4e0b\u8a18\u3092\u5165\u529b\u3057\u3066\u3001\u5b9f\u884c\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002
\n\u7d44\u5408\u305b\u6700\u9069\u5316\u554f\u984c\u3092\u89e3\u3044\u3066\u6570\u72ec\u3092\u89e3\u304f\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n
import<\/span> pandas<\/span> as<\/span> pd<\/span>,<\/span> numpy<\/span> as<\/span> np<\/span>\r\nfrom<\/span> more_itertools<\/span> import<\/span> grouper<\/span>\r\nfrom<\/span> pulp<\/span> import<\/span> *<\/span>\r\n\r\nprob<\/span> =<\/span> \"\"\"<\/span>\\\r\n<\/span>..6.....1\r\n.7..6..5.\r\n8..1.32..\r\n..5.4.8..\r\n.4.7.2.9.\r\n..8.1.7..\r\n..12.5..3\r\n.6..7..8.\r\n2.....4..\r\n\"\"\"<\/span>\r\nr<\/span> =<\/span> range<\/span>(<\/span>9<\/span>)<\/span>\r\nm<\/span> =<\/span> LpProblem<\/span>()<\/span> # \u6570\u7406\u30e2\u30c7\u30eb\r\n<\/span>a<\/span> =<\/span> pd<\/span>.<\/span>DataFrame<\/span>([(<\/span>i<\/span>,<\/span> j<\/span>,<\/span> k<\/span>,<\/span> LpVariable<\/span>(<\/span>'x%d%d%d'<\/span>%<\/span>(<\/span>i<\/span>,<\/span>j<\/span>,<\/span>k<\/span>),<\/span> cat<\/span>=<\/span>LpBinary<\/span>))<\/span>\r\n                  for<\/span> i<\/span> in<\/span> r<\/span> for<\/span> j<\/span> in<\/span> r<\/span> for<\/span> k<\/span> in<\/span> r<\/span>],<\/span>\r\n                 columns<\/span>=<\/span>[<\/span>'\u7e26'<\/span>,<\/span> '\u6a2a'<\/span>,<\/span> '\u6570'<\/span>,<\/span> 'x'<\/span>])<\/span> # (\u5b9a\u5f0f\u53161)\r\n<\/span>for<\/span> i<\/span> in<\/span> r<\/span>:<\/span>\r\n    for<\/span> j<\/span> in<\/span> r<\/span>:<\/span>\r\n        m<\/span> +=<\/span> lpSum<\/span>(<\/span>a<\/span>[(<\/span>a<\/span>.<\/span>\u7e26<\/span> ==<\/span> i<\/span>)<\/span> &<\/span> (<\/span>a<\/span>.<\/span>\u6a2a<\/span> ==<\/span> j<\/span>)].<\/span>x<\/span>)<\/span> ==<\/span> 1<\/span> # (\u5b9a\u5f0f\u53162)\r\n<\/span>        m<\/span> +=<\/span> lpSum<\/span>(<\/span>a<\/span>[(<\/span>a<\/span>.<\/span>\u7e26<\/span> ==<\/span> i<\/span>)<\/span> &<\/span> (<\/span>a<\/span>.<\/span>\u6570<\/span> ==<\/span> j<\/span>)].<\/span>x<\/span>)<\/span> ==<\/span> 1<\/span> # (\u5b9a\u5f0f\u53163)\r\n<\/span>        m<\/span> +=<\/span> lpSum<\/span>(<\/span>a<\/span>[(<\/span>a<\/span>.<\/span>\u6a2a<\/span> ==<\/span> i<\/span>)<\/span> &<\/span> (<\/span>a<\/span>.<\/span>\u6570<\/span> ==<\/span> j<\/span>)].<\/span>x<\/span>)<\/span> ==<\/span> 1<\/span> # (\u5b9a\u5f0f\u53164)\r\n<\/span>for<\/span> i<\/span> in<\/span> range<\/span>(<\/span>0<\/span>,<\/span> 9<\/span>,<\/span> 3<\/span>):<\/span>\r\n    for<\/span> j<\/span> in<\/span> range<\/span>(<\/span>0<\/span>,<\/span> 9<\/span>,<\/span> 3<\/span>):<\/span>\r\n        for<\/span> k<\/span> in<\/span> r<\/span>:<\/span>\r\n            m<\/span> +=<\/span> lpSum<\/span>(<\/span>a<\/span>[(<\/span>a<\/span>.<\/span>\u7e26<\/span> >=<\/span> i<\/span>)<\/span> &<\/span> (<\/span>a<\/span>.<\/span>\u7e26<\/span> <<\/span> i<\/span>+<\/span>3<\/span>)<\/span> &<\/span> # (\u5b9a\u5f0f\u53165)\r\n<\/span>                         (<\/span>a<\/span>.<\/span>\u6a2a<\/span> >=<\/span> j<\/span>)<\/span> &<\/span> (<\/span>a<\/span>.<\/span>\u6a2a<\/span> <<\/span> j<\/span>+<\/span>3<\/span>)<\/span> &<\/span> (<\/span>a<\/span>.<\/span>\u6570<\/span> ==<\/span> k<\/span>)].<\/span>x<\/span>)<\/span> ==<\/span> 1<\/span>\r\nfor<\/span> i<\/span>,<\/span> s<\/span> in<\/span> enumerate<\/span>(<\/span>prob<\/span>.<\/span>split<\/span>(<\/span>'<\/span>\\n<\/span>'<\/span>)):<\/span>\r\n    for<\/span> j<\/span>,<\/span> c<\/span> in<\/span> enumerate<\/span>(<\/span>s<\/span>):<\/span>\r\n        if<\/span> c<\/span>.<\/span>isdigit<\/span>():<\/span>\r\n            k<\/span> =<\/span> int<\/span>(<\/span>c<\/span>)<\/span>-<\/span>1<\/span> # (\u5b9a\u5f0f\u53166)\r\n<\/span>            m<\/span> +=<\/span> lpSum<\/span>(<\/span>a<\/span>[(<\/span>a<\/span>.<\/span>\u7e26<\/span> ==<\/span> i<\/span>)<\/span> &<\/span> (<\/span>a<\/span>.<\/span>\u6a2a<\/span> ==<\/span> j<\/span>)<\/span> &<\/span> (<\/span>a<\/span>.<\/span>\u6570<\/span> ==<\/span> k<\/span>)].<\/span>x<\/span>)<\/span> ==<\/span> 1<\/span>\r\nm<\/span>.<\/span>solve<\/span>()<\/span> # \u30bd\u30eb\u30d0\u30fc\u3067\u6c42\u89e3\r\n<\/span>f<\/span> =<\/span> a<\/span>.<\/span>x<\/span>.<\/span>apply<\/span>(<\/span>lambda<\/span> v<\/span>:<\/span> value<\/span>(<\/span>v<\/span>)<\/span> ==<\/span> 1<\/span>)<\/span> # \u9078\u3070\u308c\u305f\u6570\u5b57\r\n<\/span>print<\/span>(<\/span>np<\/span>.<\/span>array<\/span>(<\/span>list<\/span>(<\/span>grouper<\/span>(<\/span>9<\/span>,<\/span> a<\/span>.<\/span>\u6570<\/span>[<\/span>f<\/span>]<\/span> +<\/span> 1<\/span>))))<\/span>\r\n<\/code><\/pre>\n
[[5 3 6 8 2 7 9 4 1]\r\n [1 7 2 9 6 4 3 5 8]\r\n [8 9 4 1 5 3 2 6 7]\r\n [7 1 5 3 4 9 8 2 6]\r\n [6 4 3 7 8 2 1 9 5]\r\n [9 2 8 5 1 6 7 3 4]\r\n [4 8 1 2 9 5 6 7 3]\r\n [3 6 9 4 7 1 5 8 2]\r\n [2 5 7 6 3 8 4 1 9]]\r\n<\/code><\/pre>\n
Jupyter Project\u3068\u306e\u6bd4\u8f03<\/h1>\n
Jupyter notebook\u306b\u306f\u3001Jupyter Project\u306e\u30a4\u30e1\u30fc\u30b8(jupyter\/notebook)\u3082\u3042\u308a\u307e\u3059\u304c\u3001\u4eca\u56de\u3001\u7d39\u4ecb\u3057\u305f\u3082\u306e\u306f\u3001\u4e0b\u8a18\u306e\u30e1\u30ea\u30c3\u30c8\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
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\u7279\u5fb4\u7d39\u4ecb\u3057\u305f\u3082\u306eJupyter Project\u65b0\u3057\u3044Python 3.5.1Python 3.4.3\u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u3044658.5 MB863.1 MB\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u6e08\u307f\u30d1\u30c3\u30b1\u30fc\u30b8\u6570\u304c\u591a\u30446938<\/div>\n<\/div>\n
tsutomu7\/alpine-python:jupyter \u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u6e08\u307f\u30d1\u30c3\u30b1\u30fc\u30b8<\/h2>\n
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packageverpackageverpackageverpackageverblist1.3.6bokeh0.11.1chest0.2.3cloudpickle0.1.1conda4.0.5conda-env2.4.5cycler0.10.0dask0.8.2decorator4.0.9entrypoints0.2flask0.10.1fontconfig2.11.1freetype2.5.5heapdict1.0.0ipykernel4.3.1ipython4.1.2ipython-genutils0.1.0ipython_genutils0.1.0ipywidgets4.1.1itsdangerous0.24jinja22.8jsonschema2.4.0jupyter1.0.0jupyter-client4.2.2jupyter-console4.1.1jupyter-core4.1.0jupyter_client4.2.2jupyter_console4.1.1jupyter_core4.1.0libgfortran3.0libpng1.6.17libsodium1.0.3libxml22.9.2locket0.2.0markdown2.6.6markupsafe0.23matplotlib1.5.1mistune0.7.2more-itertools2.2mpmath0.19nbconvert4.2.0nbformat4.0.1ncurses5.9networkx1.11nomkl1.0notebook4.1.0numpy1.11.0openblas0.2.14openssl1.0.2gpandas0.18.0partd0.3.2path.py8.2patsy0.4.1pexpect4.0.1pickleshare0.5pip8.1.1psutil4.1.0ptyprocess0.5pulp1.6.1pycosat0.6.1pycrypto2.6.1pygments2.1.3pyjade4.0.0pyparsing2.0.3pyqt4.11.4python3.5.1python-dateutil2.5.2pytz2016.3pyyaml3.11pyzmq15.2.0qt4.8.7qtconsole4.2.1readline6.2requests2.9.1scikit-learn0.17.1scipy0.17.0seaborn0.7.0setuptools20.3simplegeneric0.8.1sip4.16.9six1.10.0sqlite3.9.2statsmodels0.6.1sympy1.0terminado0.5tk8.5.18toolz0.7.4tornado4.3traitlets4.2.1werkzeug0.11.5wheel0.29.0xz5.0.5yaml0.1.6zeromq4.1.3zlib1.2.8<\/p>\n<\/div>\n<\/div>\n
jupyter\/notebook \u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u6e08\u307f\u30d1\u30c3\u30b1\u30fc\u30b8<\/h2>\n
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packageverpackageverpackageverpackageverbackports-abc(0.4)cffi(1.5.2)cryptography(1.2.2)decorator(4.0.9)idna(2.0)ipykernel(4.2.2)ipython(4.1.1)ipython-genutils(0.1.0)Jinja2(2.8)jsonschema(2.5.1)jupyter-client(4.1.1)jupyter-core(4.0.6)MarkupSafe(0.23)mistune(0.7.1)nbconvert(4.1.0)nbformat(4.0.1)ndg-httpsclient(0.4.0)nose(1.3.7)notebook(5.0.0.dev0)path.py(8.1.2)pexpect(4.0.1)pickleshare(0.6)pip(8.0.2)ptyprocess(0.5.1)pyasn1(0.1.9)pycparser(2.14)Pygments(2.1.1)pyOpenSSL(0.15.1)pyzmq(15.2.0)requests(2.9.1)setuptools(20.1.1)simplegeneric(0.8.1)six(1.10.0)terminado(0.6)tornado(4.3)traitlets(4.1.0)wheel(0.29.0)widgetsnbextension(0.0.2.dev0)<\/p>\n<\/div>\n<\/div>\n
\u53c2\u8003\u30ea\u30f3\u30af<\/h1>\n
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  • \n
      Docker Toolbox\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff1aWindows\u7de8<\/ul>\n<\/li>\n<\/ul>\n
       <\/p>\n
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      • \n
          \u73fe\u4ee3\u306e\u30a8\u30f3\u30b8\u30cb\u30a2\u306e\u305f\u3081\u306e\u5f37\u529b\u306a\u30e1\u30e2\u5e33 Jupyter notebook\u306e\u3059\u309d\u3081<\/ul>\n<\/li>\n<\/ul>\n
           <\/p>\n
            ubuntu\u30d9\u30fc\u30b9\u306ejupyter: tsutomu7\/jupyter (827MB)<\/ul>\n
            \u4ee5\u4e0a<\/p>\n
            \n
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            \u306f\u3058\u3081\u306b \u30c7\u30fc\u30bf\u5206\u6790\u306a\u3069\u306e\u79d1\u5b66\u6280\u8853\u8a08\u7b97\u3067Jupyter notebook(Python)\u306f\u3001\u30b9\u30bf\u30f3\u30c0\u30fc\u30c9\u3068\u3044\u3048 […]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-46245","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\/46245-2\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:description\" content=\"\u306f\u3058\u3081\u306b \u30c7\u30fc\u30bf\u5206\u6790\u306a\u3069\u306e\u79d1\u5b66\u6280\u8853\u8a08\u7b97\u3067Jupyter notebook(Python)\u306f\u3001\u30b9\u30bf\u30f3\u30c0\u30fc\u30c9\u3068\u3044\u3048 […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/46245-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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