{"id":10599,"date":"2025-10-15T09:54:35","date_gmt":"2025-10-15T00:54:35","guid":{"rendered":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/?p=10599"},"modified":"2025-10-21T13:06:04","modified_gmt":"2025-10-21T04:06:04","slug":"numpy-%e3%81%ae%e6%b5%ae%e5%8b%95%e5%b0%8f%e6%95%b0%e7%82%b9%e6%95%b0%e3%81%8c-np-float64-%e3%81%a8%e8%a1%a8%e7%a4%ba%e3%81%95%e3%82%8c%e3%82%8b%e5%95%8f%e9%a1%8c","status":"publish","type":"post","link":"https:\/\/home.hirosaki-u.ac.jp\/relativity\/10599\/","title":{"rendered":"NumPy \u306e\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u304c np.float64 \u3068\u8868\u793a\u3055\u308c\u308b\u554f\u984c"},"content":{"rendered":"

\u4eca\u5e74\u5ea6\u304b\u3089\u65b0\u3057\u3044 JupyterHub \u3092\u6388\u696d\u3067\u4f7f\u3046\u3088\u3046\u306b\u306a\u3063\u3066\u6c17\u3065\u3044\u305f\u3068\u3053\u308d\u3002<\/p>\n

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\u6570\u5b66\u95a2\u6570\u3092\u4f7f\u3046<\/h3>\n

math<\/h4>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[1]:<\/div>\n
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import<\/span> math<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[2]:<\/div>\n
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math<\/span>.<\/span>pi<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out[2]:<\/div>\n
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3.141592653589793<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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$\\sin \\dfrac{\\pi}{2}, \\cos \\dfrac{\\pi}{3}, \\tan\\dfrac{\\pi}{4}$ \u306e\u5024\u3092\u4e00\u6c17\u306b\u8868\u793a<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[3]:<\/div>\n
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math<\/span>.<\/span>sin<\/span>(<\/span>math<\/span>.<\/span>pi<\/span>\/<\/span>2<\/span>),<\/span> math<\/span>.<\/span>cos<\/span>(<\/span>math<\/span>.<\/span>pi<\/span>\/<\/span>3<\/span>),<\/span> math<\/span>.<\/span>tan<\/span>(<\/span>math<\/span>.<\/span>pi<\/span>\/<\/span>4<\/span>)<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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(1.0, 0.5000000000000001, 0.9999999999999999)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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NumPy<\/h4>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[4]:<\/div>\n
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import<\/span> numpy<\/span> as<\/span> np<\/span>    # np. \u3092\u3064\u3051\u3066\u4f7f\u3046<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[5]:<\/div>\n
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np<\/span>.<\/span>pi<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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3.141592653589793<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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NumPy \u3067\u3082 $\\sin \\dfrac{\\pi}{2}, \\cos \\dfrac{\\pi}{3}, \\tan\\dfrac{\\pi}{4}$ \u306e\u5024\u3092\u4e00\u6c17\u306b\u8868\u793a\u3055\u305b\u305f\u3044\u306e\u3060\u304c…<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[6]:<\/div>\n
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np<\/span>.<\/span>sin<\/span>(<\/span>np<\/span>.<\/span>pi<\/span>\/<\/span>2<\/span>),<\/span> np<\/span>.<\/span>cos<\/span>(<\/span>np<\/span>.<\/span>pi<\/span>\/<\/span>3<\/span>),<\/span> np<\/span>.<\/span>tan<\/span>(<\/span>np<\/span>.<\/span>pi<\/span>\/<\/span>4<\/span>)<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out[6]:<\/div>\n
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(np.float64(1.0),\r\n np.float64(0.5000000000000001),\r\n np.float64(0.9999999999999999))<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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np.float64<\/code> \u3063\u3066\u3044\u3046\u306e\u304c\u3064\u304f\u3093\u3060\u3051\u3069…<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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\u3053\u306e\u73fe\u8c61\u306e\u539f\u56e0\u306f\uff0cNumPy 2.0 \u4ee5\u964d\u3067\u8868\u793a\u65b9\u6cd5\u304c\u5909\u66f4\u3055\u308c\u305f\u3053\u3068\u306b\u3042\u308b\u3002<\/p>\n
\u306a\u306e\u3067\uff0c\u4ee5\u524d\u306e\u65e7 \u5f18\u5927 JupyterHub \u306e\u3088\u3046\u306a\u8868\u793a\u306b\u3057\u305f\u3051\u308c\u3070\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u6570\u5024\u306e\u8868\u793a\u5f62\u5f0f\u3092\u5909\u66f4\u3057\u3066\u304a\u304f\u3053\u3068\u3067\u5bfe\u5fdc\u3067\u304d\u308b\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[7]:<\/div>\n
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np<\/span>.<\/span>set_printoptions<\/span>(<\/span>legacy<\/span>=<\/span>'1.25'<\/span>)<\/span> \r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[8]:<\/div>\n
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np<\/span>.<\/span>sin<\/span>(<\/span>np<\/span>.<\/span>pi<\/span>\/<\/span>2<\/span>),<\/span> np<\/span>.<\/span>cos<\/span>(<\/span>np<\/span>.<\/span>pi<\/span>\/<\/span>3<\/span>),<\/span> np<\/span>.<\/span>tan<\/span>(<\/span>np<\/span>.<\/span>pi<\/span>\/<\/span>4<\/span>)<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out[8]:<\/div>\n
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(1.0, 0.5000000000000001, 0.9999999999999999)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
\u4eca\u5e74\u5ea6\u304b\u3089\u65b0\u3057\u3044 JupyterHub \u3092\u6388\u696d\u3067\u4f7f\u3046\u3088\u3046\u306b\u306a\u3063\u3066\u6c17\u3065\u3044\u305f\u3068\u3053\u308d\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":[11],"tags":[],"class_list":["post-10599","post","type-post","status-publish","format-standard","hentry","category-python","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