{"provider_name":"Hatena Blog","blog_title":"\u3088\u3061\u3088\u3061python   ","url":"https://chayarokurokuro.hatenablog.com/entry/2021/07/19/174724","width":"100%","blog_url":"https://chayarokurokuro.hatenablog.com/","author_url":"https://blog.hatena.ne.jp/chayarokurokuro/","author_name":"chayarokurokuro","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchayarokurokuro.hatenablog.com%2Fentry%2F2021%2F07%2F19%2F174724\" title=\"\u3010Numpy\u3060\u3051\u3067\u5358\u56de\u5e30\u5206\u6790\u3011np.polyfit()\u3068np.poly1d()\u3067\u30b3\u30ed\u30ca\u691c\u67fb\u6570\u304b\u3089\u967d\u6027\u8005\u6570\u3092\u4e88\u6e2c\u3059\u308b - \u3088\u3061\u3088\u3061python   \" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","description":"np.polyfit()\u3068np.poly1d()\u3067\u30b3\u30ed\u30ca\u967d\u6027\u8005\u6570\u3092\u5358\u56de\u5e30\u5206\u6790\u4e88\u6e2c \u4eca\u56de\u306f\u3001\u30b3\u30ed\u30ca\u306e\u691c\u67fb\u6570\u3068\u967d\u6027\u8005\u6570\u306e\u30c7\u30fc\u30bf\u304b\u3089\u3001Numpy\u3092\u4f7f\u3063\u3066\u5358\u56de\u5e30\u5206\u6790\u3092\u884c\u3063\u3066\u307f\u307e\u3059\u3002\u4e45\u3057\u3076\u308a\u3067\u3084\u308a\u65b9\u5fd8\u308c\u3066\u308b\u306e\u3067\u5fa9\u7fd2\u3002 \u72ec\u7acb\u5909\u6570x\u3092\u691c\u67fb\u4ef6\u6570\u3001\u76ee\u7684\u5909\u6570y\u3092\u967d\u6027\u8005\u6570\u3068\u3057\u3066\u56de\u5e30\u5206\u6790\u3092\u3057\u3001 \u3067\u304d\u305f\u30e2\u30c7\u30eb\u306b\u4efb\u610f\u306e\u691c\u67fb\u6570\u3092\u5f53\u3066\u306f\u3081\u308b\u3068\u3001\u4e00\u4f53\u3069\u308c\u307b\u3069\u306e\u967d\u6027\u8005\u6570\u304c\u51fa\u308b\u304b\u3092\u4e88\u6e2c\u3057\u307e\u3059\u3002 \u3010\u5b9f\u884c\u74b0\u5883\u3011 Android Termux Python3.9 Jupyter Notebook \u5916\u90e8\u30e9\u30a4\u30d6\u30e9\u30ea pandas, numpy, matplotlib, japanize-matplotlib(\u65e5\u672c\u8a9e\u8868\u793a\u7528) \u76ee\u6b21 np.po\u2026","title":"\u3010Numpy\u3060\u3051\u3067\u5358\u56de\u5e30\u5206\u6790\u3011np.polyfit()\u3068np.poly1d()\u3067\u30b3\u30ed\u30ca\u691c\u67fb\u6570\u304b\u3089\u967d\u6027\u8005\u6570\u3092\u4e88\u6e2c\u3059\u308b","height":"190","type":"rich","provider_url":"https://hatena.blog","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/chayarokurokuro/20210719/20210719173821.jpg","categories":["numpy","matplotlib","Android","JupyterNotebook","pandas","termux","\u30b0\u30e9\u30d5\u4f5c\u6210","\u6a5f\u68b0\u5b66\u7fd2"],"version":"1.0","published":"2021-07-19 17:47:24"}