{"id":6805,"date":"2024-12-03T11:01:14","date_gmt":"2024-12-03T02:01:14","guid":{"rendered":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/?p=6805"},"modified":"2024-12-03T11:17:40","modified_gmt":"2024-12-03T02:17:40","slug":"python-%e3%81%a7%e4%bd%9c%e6%88%90%e3%81%97%e3%81%9f%e3%82%b0%e3%83%a9%e3%83%95%e3%81%ae%e9%83%a8%e5%88%86%e3%81%a0%e3%81%91%e3%82%92-pdf-%e3%81%a8%e3%81%97%e3%81%a6%e4%bf%9d%e5%ad%98%e3%81%99-2","status":"publish","type":"post","link":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/6805\/","title":{"rendered":"Python \u3067\u4f5c\u6210\u3057\u305f\u30b0\u30e9\u30d5\u306e\u90e8\u5206\u3060\u3051\u3092 pdf \u3068\u3057\u3066\u4fdd\u5b58\u3059\u308b\uff1a\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u7248"},"content":{"rendered":"
\n
<\/div>\n
\n
\n

\u4ee5\u524d\uff0c\u300cPython \u3067\u4f5c\u6210\u3057\u305f\u30b0\u30e9\u30d5\u306e\u90e8\u5206\u3060\u3051\u3092 pdf \u3068\u3057\u3066\u4fdd\u5b58\u3059\u308b<\/a>\u300d\u306e\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u7248\u3002\u6700\u8fd1\u306e\u5f18\u5927 JupyterHub \u306e\u74b0\u5883\u3067\u306f\uff0c\uff08matplotlib \u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u30a2\u30c3\u30d7\u306b\u3088\u308a\uff09\u7279\u306b\u30a8\u30e9\u30fc\u304c\u51fa\u308b\u3053\u3068\u3082\u306a\u304f\uff0c\u7c21\u5358\u306b pdf \u3068\u3057\u3066\u4fdd\u5b58\u3067\u304d\u308b\u3002\u307e\u305f\uff0c\u4fdd\u5b58\u3059\u308b\u30d5\u30a1\u30a4\u30eb\u540d\u306e\u62e1\u5f35\u5b50\u3092 .pdf<\/code> \u304b\u3089\u4ed6\u306e\uff0c\u305f\u3068\u3048\u3070 .svg<\/code> \u306b\u5909\u66f4\u3059\u308c\u3070\u305d\u306e\u307e\u307e svg \u3068\u3057\u3066\u4fdd\u5b58\u3067\u304d\u308b\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n

<\/p>\n

\n
<\/div>\n
\n
\n

Matplotlib \u306e\u5834\u5408 .savefig()<\/code><\/h3>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
In\u00a0[1]:<\/div>\n
\n
\n
\n
# NumPy \u3082\u4f7f\u3044\u307e\u3059<\/span>\r\nimport<\/span> numpy<\/span> as<\/span> np<\/span>\r\n# Matplotlib \u3067\u30b0\u30e9\u30d5\u3092\u63cf\u304d\u307e\u3059<\/span>\r\nimport<\/span> matplotlib.pyplot<\/span> as<\/span> plt<\/span>\r\n\r\n# \u4ee5\u4e0b\u306f\u30b0\u30e9\u30d5\u3092 SVG \u3067 Notebook \u306b\u30a4\u30f3\u30e9\u30a4\u30f3\u8868\u793a\u3055\u305b\u308b\u8a2d\u5b9a<\/span>\r\n%<\/span>config<\/span> InlineBackend.figure_formats = ['svg']\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
<\/div>\n
\n
\n
plt.savefig()<\/code><\/h4>\n
plt.savefig()<\/code> \u3067 pdf \u3068\u3057\u3066\u4fdd\u5b58\u3059\u308b\u4f8b\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
In\u00a0[2]:<\/div>\n
\n
\n
\n
x<\/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> 100<\/span>)<\/span>\r\n\r\nplt<\/span>.<\/span>plot<\/span>(<\/span>x<\/span>,<\/span> np<\/span>.<\/span>sin<\/span>(<\/span>x<\/span>))<\/span>\r\nplt<\/span>.<\/span>savefig<\/span>(<\/span>'psavepdf01.pdf'<\/span>);<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
\n
<\/div>\n
psavepdf01<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
<\/div>\n
\n
\n
fig.savefig()<\/code><\/h4>\n
plt.***<\/code> \u3092\u4f7f\u308f\u305a\uff0cax.***<\/code> \u3060\u3051\u3067\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3057\u305f\u3044\uff01\u3068\u601d\u3046\u306a\u3089\uff0c\u30b0\u30e9\u30d5\u3092\u4fdd\u5b58\u3059\u308b\u969b\u306b\u3082 plt.***<\/code> \u306f\u4f7f\u308f\u305a\u306b\u3084\u308a\u305f\u3044\u3068\u601d\u3046\u306f\u305a\u3002\u305d\u3093\u306a\u65b9\u306e\u305f\u3081\u306b\uff0cfig.savefig()<\/code> \u3067 pdf \u3068\u3057\u3066\u4fdd\u5b58\u3059\u308b\u4f8b\u3002<\/p>\n
\u5ff5\u306e\u305f\u3081\uff0cax<\/span>.savefig()<\/code> \u3067\u306f\u30a8\u30e9\u30fc\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
In\u00a0[3]:<\/div>\n
\n
\n
\n
# fig \u3084 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> 100<\/span>)<\/span>\r\n\r\nax<\/span>.<\/span>plot<\/span>(<\/span>x<\/span>,<\/span> np<\/span>.<\/span>cos<\/span>(<\/span>x<\/span>),<\/span> c<\/span> =<\/span> 'tab:orange'<\/span>);<\/span>\r\nfig<\/span>.<\/span>savefig<\/span>(<\/span>'psavepdf02.pdf'<\/span>);<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
\n
<\/div>\n
psavepdf02<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
<\/div>\n
\n
\n
SymPy \u306e\u5834\u5408 .save()<\/code><\/h3>\n
\u79c1\u81ea\u8eab\u306f\uff0c\u6700\u8fd1\u306f SymPy \u305d\u306e\u3082\u306e\u306e\u30b0\u30e9\u30d5\u4f5c\u6210\u6a5f\u80fd\u3092\u4f7f\u3046\u3053\u3068\u306f\u306a\u304f\uff0c\u8a00\u308f\u3070\u305d\u306e\u6a5f\u80fd\u62e1\u5f35\u7248\u306b\u76f8\u5f53\u3059\u308b SymPy Plotting Backends \u3092\u4f7f\u3063\u3066\u3044\u308b\u304c…<\/p>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
In\u00a0[4]:<\/div>\n
\n
\n
\n
# SymPy \u3092\u4f7f\u3046\u3068\u304d\u306e\u304a\u307e\u3058\u306a\u3044<\/span>\r\nfrom<\/span> sympy.abc<\/span> import<\/span> *<\/span>\r\nfrom<\/span> sympy<\/span> import<\/span> *<\/span>\r\n\r\n# \u4ee5\u4e0b\u306f\u30b0\u30e9\u30d5\u3092 SVG \u3067 Notebook \u306b\u30a4\u30f3\u30e9\u30a4\u30f3\u8868\u793a\u3055\u305b\u308b\u8a2d\u5b9a<\/span>\r\n%<\/span>config<\/span> InlineBackend.figure_formats = ['svg']\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
<\/div>\n
\n
\n
.save()<\/code> \u3067 pdf \u3068\u3057\u3066\u4fdd\u5b58\u3059\u308b\u4f8b\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
In\u00a0[5]:<\/div>\n
\n
\n
\n
p1<\/span> =<\/span> plot<\/span>(<\/span>sin<\/span>(<\/span>t<\/span>),<\/span> (<\/span>t<\/span>,<\/span> -<\/span>2<\/span>*<\/span>pi<\/span>,<\/span> 2<\/span>*<\/span>pi<\/span>))<\/span>\r\np1<\/span>.<\/span>save<\/span>(<\/span>'.\/psavepdf03.pdf'<\/span>);<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
\n
<\/div>\n
psavepdf03<\/a><\/div>\n<\/div>\n
\n
<\/div>\n
<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
<\/div>\n
\n
\n
plot()<\/code> \u95a2\u6570\u306b\u76f4\u63a5 .save()<\/code> \u3092\u3064\u3051\u3066\u3082\u3088\u3044\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
In\u00a0[6]:<\/div>\n
\n
\n
\n
plot<\/span>(<\/span>cos<\/span>(<\/span>t<\/span>),<\/span> (<\/span>t<\/span>,<\/span> -<\/span>2<\/span>*<\/span>pi<\/span>,<\/span> 2<\/span>*<\/span>pi<\/span>))<\/span>.<\/span>save<\/span>(<\/span>'.\/psavepdf04.pdf'<\/span>);<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
\n
<\/div>\n
psavepdf04<\/a><\/div>\n<\/div>\n
\n
<\/div>\n
<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
<\/div>\n
\n
\n
SymPy Plotting Backends \u306e\u5834\u5408 .save()<\/code><\/h3>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
In\u00a0[7]:<\/div>\n
\n
\n
\n
from<\/span> sympy.abc<\/span> import<\/span> *<\/span>\r\nfrom<\/span> sympy<\/span> import<\/span> *<\/span>\r\n# SymPy Plotting Backends (SPB)<\/span>\r\nfrom<\/span> spb<\/span> import<\/span> *<\/span>\r\n\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
\n
<\/div>\n
\n
\n
The Graphic Module \u7de8<\/h4>\n<\/div>\n<\/div>\n<\/div>\n
\n
<\/div>\n
\n
\n
graphics()<\/code> \u306b\u76f4\u63a5 .save()<\/code> \u3092\u3064\u3051\u308b\u4f8b\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
In\u00a0[8]:<\/div>\n
\n
\n
\n
graphics<\/span>(<\/span>line<\/span>(<\/span>sin<\/span>(<\/span>t<\/span>),<\/span> (<\/span>t<\/span>,<\/span> -<\/span>2<\/span>*<\/span>pi<\/span>,<\/span> 2<\/span>*<\/span>pi<\/span>)))<\/span>.<\/span>save<\/span>(<\/span>'psavepdf05.pdf'<\/span>);<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
\n
<\/div>\n
psavepdf05<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
<\/div>\n
\n
\n
\u5c11\u3057\u8fbc\u307f\u5165\u3063\u305f\u30b0\u30e9\u30d5\u306e\u969b\u306f\uff0c\u3044\u3063\u305f\u3093 p1<\/code> \u306a\u3069\u3068\u3057\u3066\u304b\u3089\u4fdd\u5b58\u3057\u3066\u3082\u3088\u3044\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
In\u00a0[9]:<\/div>\n
\n
\n
\n
p1<\/span> =<\/span> graphics<\/span>(<\/span>\r\n        line<\/span>(<\/span>cos<\/span>(<\/span>t<\/span>),<\/span> (<\/span>t<\/span>,<\/span> -<\/span>2<\/span>*<\/span>pi<\/span>,<\/span> 2<\/span>*<\/span>pi<\/span>),<\/span> \r\n             rendering_kw<\/span>=<\/span>{<\/span>'color'<\/span>:<\/span>'tab:orange'<\/span>}))<\/span>\r\n\r\np1<\/span>.<\/span>save<\/span>(<\/span>'psavepdf06.pdf'<\/span>);<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
\n
<\/div>\n
psavepdf06<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
\u4ee5\u524d\uff0c\u300cPython \u3067\u4f5c\u6210\u3057\u305f\u30b0\u30e9\u30d5\u306e\u90e8\u5206\u3060\u3051\u3092 pdf \u3068\u3057\u3066\u4fdd\u5b58\u3059\u308b\u300d\u306e\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u7248\u3002\u6700\u8fd1\u306e\u5f18\u5927 JupyterHub \u306e\u74b0\u5883\u3067\u306f\uff0c\uff08matplotlib \u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u30a2\u30c3\u30d7\u306b\u3088\u308a\uff09\u7279\u306b\u30a8\u30e9\u30fc\u304c\u51fa\u308b\u3053\u3068\u3082\u306a\u304f\uff0c\u7c21\u5358\u306b pdf \u3068\u3057\u3066\u4fdd\u5b58\u3067\u304d\u308b\u3002\u307e\u305f\uff0c\u4fdd\u5b58\u3059\u308b\u30d5\u30a1\u30a4\u30eb\u540d\u306e\u62e1\u5f35\u5b50\u3092 .pdf \u304b\u3089\u4ed6\u306e\uff0c\u305f\u3068\u3048\u3070 .svg \u306b\u5909\u66f4\u3059\u308c\u3070\u305d\u306e\u307e\u307e svg \u3068\u3057\u3066\u4fdd\u5b58\u3067\u304d\u308b\u3002<\/p>
\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","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-6805","post","type-post","status-publish","format-standard","hentry","category-matplotlib","category-sympy","nodate","item-wrap"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t