最近，研究活動（おもに実験)で得たデータを計算したり，可視化するのに使っているPython。可視化（グラフ作成)に使うMatplotlib(Seaborn)の使い方をすぐ忘れてしまうので，自分のために書き留めておこうと思う。 x = np.linspace(1,100,100) y = x**2 一番簡単なプロット ...

This package adds a mechanism for creating a grid of subplots based on the number of axes to be plotted and a strategy for how they should be arranged, with some sensible strategy as the default. The ...

# Why it matters for AI/ML: Professional visualizations aid presentations and reports. # Subplots enable side-by-side comparisons; customization improves clarity and aesthetics. # These skills are ...