{"categories":["python","\u30e9\u30a4\u30d6\u30e9\u30ea","pandas"],"width":"100%","blog_title":"Remrin\u306epython\u653b\u7565\u65e5\u8a18","image_url":null,"height":"190","provider_url":"https://hatena.blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fpython-remrin.hatenadiary.jp%2Fentry%2F2017%2F05%2F02%2F141016\" title=\"pandas\u306e\u4f7f\u3044\u65b9\uff08\uff11\uff09 - Remrin\u306epython\u653b\u7565\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","published":"2017-05-02 14:10:16","version":"1.0","author_url":"https://blog.hatena.ne.jp/rare_Remrin/","type":"rich","provider_name":"Hatena Blog","url":"https://python-remrin.hatenadiary.jp/entry/2017/05/02/141016","description":"pandas\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u4f7f\u3044\u65b9\u3002 pandas\u306fSeries(1\u6b21\u5143)\u3068DataFrame(2\u6b21\u5143)\u3068\u3044\u30462\u3064\u306e\u30c7\u30fc\u30bf\u69cb\u9020\u3092\u6301\u3064\u3002 \u4eca\u56de\u306f\u307e\u305aSeries\u306e\u4f7f\u3044\u65b9\u3002 \u25cb\u30b7\u30ea\u30fc\u30ba\uff08\uff11\u6b21\u5143\u914d\u5217\uff09\u3092\u4f5c\u308b\u3002 import pandas as pd l = [3, 4, 5, 6, 7] series = pd.Series(l) print(series) # 0 3 # 1 4 # 2 5 # 3 6 # 4 7 # dtype: int64 index(label)\u304c\u81ea\u52d5\u3067\u5272\u308a\u632f\u3089\u308c\u307e\u3059\u3002 index\u3060\u3051\u306e\u53d6\u5f97\uff1aSeries.index \u5024\u3060\u3051\u306e\u53d6\u5f97 \uff1aSeries.values print(s1\u2026","blog_url":"https://python-remrin.hatenadiary.jp/","title":"pandas\u306e\u4f7f\u3044\u65b9\uff08\uff11\uff09","author_name":"rare_Remrin"}