{"type":"rich","categories":["python","\u30c9\u30eb\u5186","\u70ba\u66ff"],"published":"2021-01-17 13:17:28","author_name":"denovor","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/denovor/","blog_url":"https://denovor.hatenablog.com/","width":"100%","blog_title":"denovor\u306e\u30d6\u30ed\u30b0","version":"1.0","title":"\u5909\u52d5\u5024\u306e\u5f93\u3046\u5206\u5e03\uff08python\uff09","url":"https://denovor.hatenablog.com/entry/2021/01/17/131728","description":"\u30c9\u30eb\u5186\u306e\uff08\u7d42\u5024-\u59cb\u5024\uff09\u306e\u5206\u5e03\u3092pymc3\u306b\u4e57\u305b\u3066\u307f\u308b\u3002 \u7d50\u8ad6\u307e\u3067\u4e00\u6c17\u306b\u3002 import pandas as pd import numpy as np from scipy import stats from matplotlib import pylab as plt import seaborn as sns sns.set() sns.set_style(\"darkgrid\") import math import pymc3 as pm fx_data = pd.read_csv(\"/Users/\u30e6\u30fc\u30b6\u30fc\u540d/Documents/FX/foreign_exchange_historica\u2026","height":"190","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/d/denovor/20210117/20210117131603.png","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fdenovor.hatenablog.com%2Fentry%2F2021%2F01%2F17%2F131728\" title=\"\u5909\u52d5\u5024\u306e\u5f93\u3046\u5206\u5e03\uff08python\uff09 - denovor\u306e\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>"}