{"categories":["Python","statistics"],"blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","url":"https://randommemory.hatenablog.com/entry/2016/06/18/171631","height":"190","author_name":"derwind","description":"\u3053\u3093\u306a\u3093\u3067\u3044\u3051\u305f\u304c\u3048\u3089\u3044\u624b\u3053\u305a\u3063\u305f...\u3002 #! /usr/bin/env python # -*- coding: utf-8 -*- import numpy as np import pandas as pd import matplotlib import matplotlib.pyplot as plt import statsmodels.api as sm font = {'family' : 'TakaoGothic'} matplotlib.rc('font', **font) # \u671f-\u58f2\u4e0a\u3052\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5 df = pd.read_csv(\"data.csv\", encod\u2026","author_url":"https://blog.hatena.ne.jp/derwind/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2016%2F06%2F18%2F171631\" title=\"pandas\u3068\u56de\u5e30\u66f2\u7dda\u3068\u30d7\u30ed\u30c3\u30c8 - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" 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":null,"provider_name":"Hatena Blog","type":"rich","title":"pandas\u3068\u56de\u5e30\u66f2\u7dda\u3068\u30d7\u30ed\u30c3\u30c8","provider_url":"https://hatena.blog","width":"100%","published":"2016-06-18 17:16:31","blog_url":"https://randommemory.hatenablog.com/","version":"1.0"}