August 2017
Intermediate to advanced
500 pages
12h 3m
Japanese
Content preview from PythonとJavaScriptではじめるデータビジュアライゼーション
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212
9 章 pandas によるデータのクリーニング
dtype: int64
❶
df
インデックスのシャッフルしたバージョンを作成し、そのインデックスで
df
のインデックスを
再構成する。
❷ 名前と年が同じすべての重複行を削除する。
❸ 整数位置インデックスでソートする。
データ変換が成功していれば、有効な重複（
2
回受賞した人たち）だけが残っているでしょう。
残った重複の一覧を表示して調べてみましょう。
In : df[df.duplicated('name') |
df.duplicated('name', keep='last')]\ #
❶
.sort_values(by='name')\
[['name', 'country', 'year', 'category']]
Out:
name country year category
548 Frederick Sanger United Kingdom 1958 Chemistry
580 Frederick Sanger United Kingdom 1980 Chemistry
292 John Bardeen United States 1956 Physics
326 John Bardeen United States 1972 Physics
285 Linus C. Pauling United States 1954 Chemistry
309 Linus C. Pauling United States 1962 Peace
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.