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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9.2
pandas
と
seaborn
のプロット関数
295
plt.rc('font', **font_options)
もっと大規模にカスタマイズしたい場合や、すべてのオプションの一覧を見たい場合、
Matplotlib
に
は、
matplotlib/mpl-data
ディレクトリに
matplotlibrc
という設定ファイルがあります
＊
1
。このファイル
をカスタマイズして
.matplotlibrc
という名前でホームディレクトリに置けば、
Matplotlib
を使う際に
毎回このファイルをロードしてくれます。
次節で取り上げるように、
seaborn
パッケージには、プロットのテーマやスタイルがいくつか組み込
みで用意されています。これらは、
Matplotlib
の設定システムを内部で用いています。
9.2
pandas
と
seaborn
のプロット関数
Matplotlib
はかなり低レベルのツールで、データの表示（プロットの種
類としては、折れ線グラフ、
棒グラフ、箱ひげ図、散布図、等高線図など）、凡例、タイトル、目盛りのラベル、注釈といった、基
本コンポーネントからプロットを組み立てています。
一方で
pandas
では、複数行のデータに、行のラベルや列のラベルが付いています。
pandas
では、本
体に、データフレームやシリーズのオブジェクトから簡単に可視化できるようにする標準メソッドがあ
ります。そのようなもう
1
つのライブラリとして、
Michael Waskom
が作成した統計用グラフィックラ
イブラリ、
seaborn
（
https://seabor ...
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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.