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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286
9
章 プロットと可視化
Out[35]: [<matplotlib.lines.Line2D at 0x7fb624d869e8>]
In [36]: plt.legend(loc='best')
図9-7 異なる
drawstyle
オプションを指定した折れ線グラフ
この一連のコマンドを実行した際に、
<matplotlib.lines.Line2D at ...>
というような出力が表示
されたのに気付いたと思います。
Matplotlib
のプロットコマンドでは、そのコマンドで追加されたプロッ
トの構成要素を参照するオブジェクトが戻されます。この出力は常に無視して問題ありません。また、
この実行例では
plot
に
label
引数を渡しているため、
plt.legend
を用いて、プロットの各線を識別す
るための凡例を作成できます。
データをプロットする際に
label
オプションを与えた場合でも与えていない場合でも、凡例
を作成するには
plt.legend
（軸を参照するオブジェクトがあるのであれば
ax.legend
）を呼び
出さなければいけません。
9.1.3
目盛り、ラベル、凡例
大抵のプロットの装飾には、実現する方法が主に
2
通りあります。手続き的な
pyplot
インタフェース
（つまり
matplotlib.pyplot
）を使う方法と、もっとオブジェクト指向な
Matplotlib
ネイティブの
API
を
使う方法です。
pyplot
インタフェースは対話的な用途に向いており、
xlim
、
xticks
、
xticklabe ...
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