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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240
10 章 Matplotlib を使ったデータの可視化
10.6
Seaborn
Matplotlib
の強力なプロット機能をさらに使いやすくし
†
、データ可視化では重要なことですが
pandas
と相性のよいライブラリがいくつかあります。
• ggplot
（
https://github.com/yhat/ggplot
）は、
R
で評判の高い
ggplot2
を
Python
移植した
もの。
ggplot
は優れたスタブで
ggplot2
の多くの機能を再現しているが、開発にムラがある
ようだ。
• Bokeh
（
http://bokeh.pydata.org/en/latest/
）は
Web
を念頭に置いた対話型可視化ライブラ
リ。ブラウザでレンダリングできるので
IPython Notebook
ととても相性がよい。
D3
と同様
の設計理念を備えた優れたライブラリの
1
つ
‡
。
しかし、データの感触をつかみ可視化できる対話型の探索的データ可視化には、
Seaborn
（
http://stanford.edu/~mwaskom/sofware/seaborn/index.html
）をお勧めします。
Seaborn
は
強力な統計的プロットで
Matplotlib
を拡張し、
PyData
スタックとうまく一体化されています。
NumPy
や
pandas
と相性がよく、
SciPy
と
Statsmodels
（
http://statsmodels.sourceforge.net/
stable/
）に統計計算のルーチンがあります。
Seaborn
の優れた点の
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.