{"id":10593,"date":"2025-11-28T11:00:22","date_gmt":"2025-11-28T02:00:22","guid":{"rendered":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/?p=10593"},"modified":"2026-02-14T14:04:58","modified_gmt":"2026-02-14T05:04:58","slug":"%e6%96%b0%e3%81%97%e3%81%84%e5%bc%98%e5%a4%a7-jupyterhub-%e3%81%ae-matplotlib-%e3%81%a7%e6%97%a5%e6%9c%ac%e8%aa%9e%e3%82%92%e8%a1%a8%e7%a4%ba%e3%81%95%e3%81%9b%e3%82%8b%e8%a8%ad%e5%ae%9a","status":"publish","type":"post","link":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/10593\/","title":{"rendered":"\u65b0\u3057\u3044\u5f18\u5927 JupyterHub \u306e matplotlib \u3084 sympy-plotting-backends \u3067\u65e5\u672c\u8a9e\u3092\u8868\u793a\u3055\u305b\u308b\u8a2d\u5b9a"},"content":{"rendered":"

matplotlib \u3067\u30bf\u30a4\u30c8\u30eb\u3084\u30e9\u30d9\u30eb\u30fb\u51e1\u4f8b\u306b\u65e5\u672c\u8a9e\u3092\u8868\u793a\u3055\u305b\u308b\u5834\u5408\u306b\u306f\uff0c<\/p>\n

import japanize_matplotlib<\/pre>\n
\u3059\u308c\u3070\u3088\u3044\uff0c\u3068\u3044\u3046\u306e\u304c\u691c\u7d22\u3059\u308c\u3070\u51fa\u3066\u304f\u308b\u3002\u78ba\u304b\u306b matplotlib \u3060\u3051\u306a\u3089\u3053\u308c\u3067\u3044\u3044\u304c\uff0c\u8a66\u3057\u3066\u307f\u305f\u3068\u3053\u308d\u3067\u306f\u65b0\u3057\u3044\u5f18\u5927 JupyterHub \u306e sympy-plotting-backends \u3067\u306f import japanize_matplotlib<\/code> \u3057\u3066\u3082\u65e5\u672c\u8a9e\u30d5\u30a9\u30f3\u30c8\u90e8\u5206\u304c\u30c8\u30fc\u30d5\u306b\u306a\u308b\u3002<\/p>\n
\u305d\u3093\u306a\u3068\u304d\u306f\uff0c\u3042\u3089\u304b\u3058\u3081<\/p>\n
fc-list | grep Noto<\/pre>\n
\u3067 Noto \u30d5\u30a9\u30f3\u30c8\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\uff0c~\/.config\/matplotlib\/matplotlibrc<\/code> \u306b\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u30d5\u30a9\u30f3\u30c8\u8a2d\u5b9a\u3092\u66f8\u304f\u3002<\/p>\n
## If you wish to change your default style, copy this file to one of the\r\n## following locations:\r\n## Unix\/Linux:\r\n## $HOME\/.config\/matplotlib\/matplotlibrc\r\n## Other platforms:\r\n## $HOME\/.matplotlib\/matplotlibrc\r\n##\r\n## matplotlib \u3084 sympy plotting backends \u3067\u65e5\u672c\u8a9e\u30d5\u30a9\u30f3\u30c8\u3092\u4f7f\u3046\r\n##\r\n\r\nfont.serif: Noto Serif CJK JP, DejaVu Serif, Bitstream Vera Serif, Computer Modern Roman, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif\r\nfont.sans-serif: Noto Sans CJK JP, DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif\r\nfont.monospace: Noto Sans Mono CJK JP, DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace<\/pre>\n
\u3053\u3046\u3059\u308c\u3070\uff0cimport japanize_matplotlib<\/code> \u306f\u4e0d\u8981\u3067\u65e5\u672c\u8a9e\u304c\u30c8\u30fc\u30d5\u306b\u306a\u3089\u305a\u306b\u8868\u793a\u3055\u308c\u308b\u3002<\/p>\n
\u65e7 JupyterHub \u3067\u306f\u53d7\u8b1b\u5b66\u751f\u306e\u4fbf\u5b9c\u3092\u306f\u304b\u308b\u305f\u3081\u306b\u7ba1\u7406\u8005\u6a29\u9650\u3067 system-wide \u306a matplotlibrc \u3092\u66f8\u304d\u63db\u3048\u3066\u3044\u305f\u304c\uff0c\u65b0 JupyterHub \u3067\u306f\u305d\u306e\u3088\u3046\u306a\u6a29\u9650\u3082\u306a\u3044\u306e\u3067\uff0c\u30e6\u30fc\u30b6\u30fc\u6bce\u306b\u8a2d\u5b9a\u3057\u3066\u3082\u3089\u3046\u307b\u304b\u306a\u3044\u304c\uff0c\u3069\u3046\u3084\u3063\u3066\u3053\u306e\u8a2d\u5b9a\u3092\u53d7\u8b1b\u5b66\u751f\u306b\u3084\u3063\u3066\u3082\u3089\u3046\u304b\u304c\u60a9\u307f\u306e\u7a2e\u3002<\/p>\n
\u8ffd\u8a18\uff1a\u8a2d\u5b9a\u30d5\u30a1\u30a4\u30eb matplotlibrc \u306e\u8a2d\u7f6e\u3068\u8a2d\u5b9a\u78ba\u8a8d\u306e\u30ce\u30fc\u30c8\u30d6\u30c3\u30af<\/h3>\n
\u6388\u696d\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u65b9\u6cd5\u3092\u8a66\u3057\u3066\u307f\u308b\u3053\u3068\u306b\u3002<\/p>\n
\u307e\u305a\uff0c\u4e0a\u8a18\u306e\u30d5\u30a9\u30f3\u30c8\u8a2d\u5b9a\u304c\u8a18\u8f09\u3055\u308c\u305f\u8a2d\u5b9a\u30d5\u30a1\u30a4\u30eb matplotlibrc<\/code> \u3092 Moodle \u304b\u3089\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u3082\u3089\u3044\uff0c\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f matplotlibrc<\/code> \u3092\uff0c\u5f18\u5927 JupyterHub \u306e\u5404\u81ea\u306e\u6388\u696d\u7528\u306e\u30d5\u30a9\u30eb\u30c0\uff08\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\uff09\u306b\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3059\u308b\u3002<\/p>\n
matplotlibrc \u306e\u5185\u5bb9<\/h4>\n
font.serif: Noto Serif CJK JP, DejaVu Serif, Bitstream Vera Serif, Computer Modern Roman, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif \r\nfont.sans-serif: Noto Sans CJK JP, DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif \r\nfont.monospace: Noto Sans Mono CJK JP, DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace<\/pre>\n
\u6b21\u306b\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u5185\u5bb9\u306e\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u30d5\u30a1\u30a4\u30eb\u300cmatplotlib \u65e5\u672c\u8a9e\u30d5\u30a9\u30f3\u30c8\u8a2d\u5b9a\u78ba\u8a8d.ipynb\u300d\u3082 Moodle \u304b\u3089\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u3082\u3089\u3044\uff0c\u540c\u3058\u304f\u5f18\u5927 JupyterHub \u306e\u5404\u81ea\u306e\u6388\u696d\u7528\u306e\u30d5\u30a9\u30eb\u30c0\uff08\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\uff09\u306b\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\uff0c\u958b\u3044\u3066\u5404\u30bb\u30eb\u3092\u5b9f\u884c\u3059\u308b\u3002Matplotlib \u306f\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3068\u540c\u3058\u30d5\u30a9\u30eb\u30c0\uff08\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\uff09\u306b matplotlibrc<\/code> \u304c\u3042\u308b\u3068\u305d\u306e\u5185\u5bb9\u3092\u8aad\u307f\u8fbc\u3080\u305f\u3081\uff0c\u65e5\u672c\u8a9e\u30d5\u30a9\u30f3\u30c8\u3067\u8868\u793a\u3055\u308c\u308b\u3002<\/p>\n
matplotlib \u65e5\u672c\u8a9e\u30d5\u30a9\u30f3\u30c8\u8a2d\u5b9a\u78ba\u8a8d.ipynb<\/h4>\n
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\u65b0\u3057\u3044\u5f18\u5927 JupyterHub \u306e matplotlib \u3084 sympy-plotting-backends \u3067\u65e5\u672c\u8a9e\u3092\u8868\u793a\u3055\u305b\u308b\u305f\u3081\u306e\u30d5\u30a9\u30f3\u30c8\u8a2d\u5b9a\u306e\u78ba\u8a8d\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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matplotlibrc \u306e\u8a2d\u7f6e<\/h5>\n
\u4f55\u306f\u3068\u3082\u3042\u308c\uff0c\u65e5\u672c\u8a9e\u30d5\u30a9\u30f3\u30c8\u8a2d\u5b9a\u306e\u30d5\u30a1\u30a4\u30eb matplotlibrc \u3092\u6388\u696d\u7528\u30d5\u30a9\u30eb\u30c0\u306b\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u3066\u304a\u304f\u3053\u3068\u3002\u3053\u306e\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u30d5\u30a1\u30a4\u30eb\u300cmatplotlib \u65e5\u672c\u8a9e\u30d5\u30a9\u30f3\u30c8\u8a2d\u5b9a\u78ba\u8a8d.ipynb\u300d\u3082\u540c\u3058\u304f\uff0c\u6388\u696d\u7528\u30d5\u30a9\u30eb\u30c0\u306b\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3059\u308b\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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matplotlib \u3067\u65e5\u672c\u8a9e\u30d5\u30a9\u30f3\u30c8\u8868\u793a\u306e\u78ba\u8a8d<\/h5>\n<\/div>\n<\/div>\n<\/div>\n
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import<\/span> numpy<\/span> as<\/span> np<\/span>\r\nimport<\/span> matplotlib.pyplot<\/span> as<\/span> plt<\/span>\r\n%<\/span>config<\/span> InlineBackend.figure_formats = ['svg']\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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# ax \u3092\u4f7f\u3046\u969b\u306e\u6700\u521d\u306e\u304a\u307e\u3058\u306a\u3044<\/span>\r\nfig<\/span>,<\/span> ax<\/span> =<\/span> plt<\/span>.<\/span>subplots<\/span>()<\/span>\r\n\r\nx<\/span> =<\/span> np<\/span>.<\/span>linspace<\/span>(<\/span>-<\/span>2<\/span>*<\/span>np<\/span>.<\/span>pi<\/span>,<\/span> 2<\/span>*<\/span>np<\/span>.<\/span>pi<\/span>,<\/span> 200<\/span>)<\/span> \r\ny<\/span> =<\/span> np<\/span>.<\/span>sin<\/span>(<\/span>x<\/span>)<\/span>\r\nax<\/span>.<\/span>plot<\/span>(<\/span>x<\/span>,<\/span> y<\/span>,<\/span> label<\/span> =<\/span> '\u6b63\u5f26\u95a2\u6570'<\/span>)<\/span>\r\n\r\nax<\/span>.<\/span>set_title<\/span>(<\/span>'\u30bf\u30a4\u30c8\u30eb'<\/span>)<\/span>\r\nax<\/span>.<\/span>set_xlabel<\/span>(<\/span>'\u6a2a\u8ef8\u30e9\u30d9\u30eb'<\/span>)<\/span>\r\nax<\/span>.<\/span>set_ylabel<\/span>(<\/span>'\u7e26\u8ef8\u30e9\u30d9\u30eb'<\/span>)<\/span>\r\nax<\/span>.<\/span>grid<\/span>()<\/span>\r\nax<\/span>.<\/span>legend<\/span>();<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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SymPy Plotting Backends \u3067\u65e5\u672c\u8a9e\u30d5\u30a9\u30f3\u30c8\u8868\u793a\u306e\u78ba\u8a8d<\/h5>\n<\/div>\n<\/div>\n<\/div>\n
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from<\/span> sympy.abc<\/span> import<\/span> *<\/span>\r\nfrom<\/span> sympy<\/span> import<\/span> *<\/span>\r\n\r\n# SymPy Plotting Backends (SPB)<\/span>\r\nfrom<\/span> spb<\/span> import<\/span> *<\/span>\r\n# \u30b0\u30e9\u30d5\u3092 SVG \u3067 Notebook \u306b\u30a4\u30f3\u30e9\u30a4\u30f3\u8868\u793a<\/span>\r\n%<\/span>config<\/span> InlineBackend.figure_formats = ['svg']\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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graphics<\/span>(<\/span>\r\n    line<\/span>(<\/span>sin<\/span>(<\/span>x<\/span>),<\/span> (<\/span>x<\/span>,<\/span> -<\/span>2<\/span>*<\/span>pi<\/span>,<\/span> 2<\/span>*<\/span>pi<\/span>),<\/span> '\u6b63\u5f26\u95a2\u6570'<\/span>),<\/span>\r\n    xlabel<\/span> =<\/span> '\u6a2a\u8ef8\u30e9\u30d9\u30eb'<\/span>,<\/span> \r\n    ylabel<\/span> =<\/span> '\u7e26\u8ef8\u30e9\u30d9\u30eb'<\/span>,<\/span> \r\n    legend<\/span> =<\/span> True<\/span>\r\n);<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u540c\u3058\u30d5\u30a9\u30eb\u30c0\u5185\u306b matplotlibrc \u304c\u306a\u304f\u3066\u3082\u65e5\u672c\u8a9e\u8868\u793a\u3067\u304d\u308b\u3088\u3046\u306b\u8a2d\u5b9a<\/h5>\n
\u4ee5\u4e0b\u306e\u30bb\u30eb\u30921\u56de\u3060\u3051\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[\u00a0]:<\/div>\n
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!<\/span> echo<\/span> \"font.serif: Noto Serif CJK JP, DejaVu Serif, Bitstream Vera Serif, Computer Modern Roman, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif\"<\/span> > ~\/.config\/matplotlib\/matplotlibrc\r\n!<\/span> echo<\/span> \"font.sans-serif: Noto Sans CJK JP, DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif\"<\/span> >> ~\/.config\/matplotlib\/matplotlibrc\r\n!<\/span> echo<\/span> \"font.monospace: Noto Sans Mono CJK JP, DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace\"<\/span> >> ~\/.config\/matplotlib\/matplotlibrc\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u3053\u308c\u3067\uff0c\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u30d5\u30a1\u30a4\u30eb\u3068\u540c\u3058\u30d5\u30a9\u30eb\u30c0\u306b matplotlibrc \u304c\u306a\u304f\u3066\u3082\uff0c\u30b0\u30e9\u30d5\u306b\u65e5\u672c\u8a9e\u304c\u8868\u793a\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":33,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[13,12],"tags":[],"class_list":["post-10593","post","type-post","status-publish","format-standard","hentry","category-matplotlib","category-sympy","nodate","item-wrap"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/wp-json\/wp\/v2\/posts\/10593","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/wp-json\/wp\/v2\/users\/33"}],"replies":[{"embeddable":true,"href":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/wp-json\/wp\/v2\/comments?post=10593"}],"version-history":[{"count":9,"href":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/wp-json\/wp\/v2\/posts\/10593\/revisions"}],"predecessor-version":[{"id":10661,"href":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/wp-json\/wp\/v2\/posts\/10593\/revisions\/10661"}],"wp:attachment":[{"href":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/wp-json\/wp\/v2\/media?parent=10593"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/wp-json\/wp\/v2\/categories?post=10593"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/wp-json\/wp\/v2\/tags?post=10593"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}