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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227
10.3 pyplot のグローバル状態を使った対話型プロット
図の
dpi
（
dots-per-inch
：
1
インチ当たりのドット）を変更して調整します。この数値が大きいほ
ど画像の品質は高いのです。
IPython
セッション中に対話的に表示するインラインの図の解像度
は、バックエンドエンジン（
Qt
、
WXAgg
、
tkinter
など）に依存します。バックエンドの説明は、
http://matplotlib.org/faq/usage_faq.html#what-is-a-backend
を参照してください。
10.3.4
ラベルと凡例
図
10-1
では、何よりも線の意味を示す必要があります。
Matplotlib
には線のラベル付けに便利
な凡例ボックスがあります。
Matplotlib
のほとんどのものと同様に細かい設定が可能です。
plot
メソッドは
1
つのラベルしかとらないので、この
3
つの線にラベルを付けるには少し複雑な手順
が必要です。作成したすべての線にその手順を適用します。便利なことに、プロットコマンドは作
成したすべての
Line2D
オブジェクトを返します。そのオブジェクトを
legend
メソッドで使って各
ラベルを設定します。
plots = plt.plot(x,y)
plots
Out:
[<matplotlib.lines.Line2D at 0x9b31a90>,
<matplotlib.lines.Line2D at 0x9b4da90>,
<matplotlib.lines.Line2D at 0x9b4dcd0>] ...
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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.