{"published":"2020-01-22 19:01:33","url":"https://chayarokurokuro.hatenablog.com/entry/2020/01/22/190133","blog_title":"\u3088\u3061\u3088\u3061python   ","categories":["Android","JupyterNotebook","matplotlib","numpy","python","termux","\u30b9\u30de\u30db","\u6a5f\u68b0\u5b66\u7fd2"],"blog_url":"https://chayarokurokuro.hatenablog.com/","provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/chayarokurokuro/","version":"1.0","author_name":"chayarokurokuro","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchayarokurokuro.hatenablog.com%2Fentry%2F2020%2F01%2F22%2F190133\" title=\"Numpy\u3060\u3051\u3067\u56de\u5e30\u5206\u6790\u305d\u306e4\u3002polyfit()\u306b\u3064\u3044\u3066\u3002 - \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>","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/chayarokurokuro/20200122/20200122185911.png","provider_url":"https://hatena.blog","type":"rich","title":"Numpy\u3060\u3051\u3067\u56de\u5e30\u5206\u6790\u305d\u306e4\u3002polyfit()\u306b\u3064\u3044\u3066\u3002","width":"100%","description":"Numpy\u3060\u3051\u3092\u4f7f\u3063\u3066\u56de\u5e30\u5206\u6790\u3092\u3059\u308b\u60aa\u3042\u304c\u304d\u30b7\u30ea\u30fc\u30ba\u3002 \u4eca\u56de\u306fpolyfit()\u306b\u3064\u3044\u3066\u3002 \u53c2\u8003 polyfit numpy.polyfit \u2014 NumPy v1.17 Manual \u5b9f\u884c\u74b0\u5883 Android\u30b9\u30de\u30db termux Python3.8 JupyterNotebook polyfit() \u591a\u9805\u5f0f\u4fc2\u6570\u751f\u6210\u30de\u30b7\u30fc\u30f3 \u5404\u70b9(x,y)\u3092\u7d50\u3076\u7dda\u306b\u8fd1\u4f3c\u3059\u308b\u6b21\u6570deg\u307e\u3067\u306e\u591a\u9805\u5f0f\u306e\u4fc2\u6570\u3092\u8a08\u7b97\u3057\u51fa\u529b\u3059\u308b\u3002 \u7c21\u5358\u306a\u4f7f\u3044\u65b9\u3068\u3057\u3066\u306f\u3001 \u5f15\u6570 : x, y, deg(\u6b21\u6570) \u623b\u308a\u5024 : \u8fd1\u4f3c\u591a\u9805\u5f0f\u306e\u5404\u9805\u306e\u4fc2\u6570 \u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u3088\u3046\u306a\u70b9\u304c\u3042\u308b\u3068\u3059\u308b import numpy as np # \u914d\u5217x\u3068y\u3092\u9069\u5f53\u306b\u2026"}