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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278
9
章 プロットと可視化
9.1
Matplotlib API
の概要
Matplotlib
を使う際には、慣例的に次のような
import
文を書くことになっています。
In [11]: import matplotlib.pyplot as plt
Jupyter
で
%matplotlib notebook
（
IPython
なら単に
%matplotlib
）を実行したら、簡単なプロットを
してみましょう。もしすべてのセットアップが正しく行われていれば、図9-1のような直線のプロット
が現れるはずです。
In [12]: import numpy as np
In [13]: data = np.arange(10)
In [14]: data
Out[14]: array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
In [15]: plt.plot(data)
図9-1 簡単な直線のプロット
seaborn
などのライブラリや
pandas
組み込みのプロット関数は、プロットする際のちょっとした要望
の多くを叶えてくれます。しかし関数が提供しているオプション以上のカスタマイズをしたい場合は、
Matplotlib API
について少し学ぶ必要があるでしょう。
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