July 2018
Intermediate to advanced
596 pages
13h 35m
Japanese
Content preview from Pythonによるデータ分析入門 第2版 ―NumPy、pandasを使ったデータ処理
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277
9
章
プロットと可視化
的確な情報を与えてくれる、有益な可視化（プロットとも言います）をすることは、データ分析にお
いて最も重要な作業の
1
つです。可視化はデータ探索プロセスの一部であり、可視化を行うことで、例
えば異常値やデータ変形の必要性が認識しやすくなることもあれば、可視化がモデルのアイデアを作り
上げるための
1
つの手段として使えることもあります。あるいは、ウェブ用の対話的な可視化システム
の構築が最終目標という人もいるかもしれません。
Python
には、静的な可視化や動的な可視化を行え
るアドオンライブラリがたくさんありますが、ここでは主に
Matplotlib
（
http://matplotlib.sourceforge.
net
）やその上に構築されたライブラリを取り上げます。
Matplotlib
は、出版用にも使える品質のプロット（主に
2
次元）を作成するための、デスクトッププロッ
トパッケージです。プ
ロジェクトは、
MATLAB
に似たプロットインタフェースを
Python
で実現するの
を目的として、
2002
年に
John Hunter
によって開始されました。その後、
Matplotlib
と
IPython
のコミュ
ニティは協力しあって、
IPython
シェル（さらに今では
Jupyter Notebook
）から簡単に対話的なプロッ
トをできるようにしました。
Matplotlib
はすべての
OS
でさまざまな
GUI
バックエンドをサポートしてお
り、さらに可視化したものを、一般的なベクタ画像形式やラスタ画像形式すべて ...
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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.