{"height":"190","author_url":"https://blog.hatena.ne.jp/round-rand/","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fml-rand-note.hatenablog.com%2Fentry%2Fpandas-boxplot\" title=\"\u3010Pandas\u3011DataFrame\u304b\u3089\u7bb1\u3072\u3052\u56f3\u3092\u4f5c\u6210(boxplot) - \u30e9\u30f3\u30c9ML\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_url":"https://hatena.blog","width":"100%","url":"https://ml-rand-note.hatenablog.com/entry/pandas-boxplot","title":"\u3010Pandas\u3011DataFrame\u304b\u3089\u7bb1\u3072\u3052\u56f3\u3092\u4f5c\u6210(boxplot)","blog_title":"\u30e9\u30f3\u30c9ML","author_name":"round-rand","description":"\u53c2\u8003\u30b5\u30a4\u30c8 \u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u306b\u3064\u3044\u3066 \u6307\u5b9a\u3057\u305f\u30ab\u30e9\u30e0\u306e\u7bb1\u3072\u3052\u56f3\u3092\u63cf\u753b\u3059\u308b\u5834\u5408 \u30b0\u30eb\u30fc\u30d7\u5316\u3057\u3066\u7bb1\u3072\u3052\u56f3\u3092\u63cf\u753b \u53c2\u8003\u30b5\u30a4\u30c8 pandas.DataFrame.boxplot \u2014 pandas 2.2.3 documentation \u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u306b\u3064\u3044\u3066 seaborn\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3042\u308a\u3001\u81ea\u52d5\u8eca\u306e\u71c3\u8cbb\u306a\u3069\u3092\u542b\u3080mpg\u30c7\u30fc\u30bf\u3092\u4f7f\u3044\u307e\u3059\u3002 import seaborn as sns import matplotlib.pyplot as plt # mpg\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u8aad\u307f\u8fbc\u307f df = sns.load_dataset('mpg') df.head() \u6307\u5b9a\u3057\u305f\u30ab\u30e9\u30e0\u306e\u7bb1\u3072\u3052\u56f3\u3092\u63cf\u753b\u3059\u308b\u5834\u5408 df[\u2026","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/r/round-rand/20250205/20250205180646.png","categories":["Pandas"],"published":"2025-02-07 00:00:00","version":"1.0","blog_url":"https://ml-rand-note.hatenablog.com/","provider_name":"Hatena Blog"}