Who should read this article: In this article we describe internal workings of the time axis (the x-axis) when plotting Time-Series data in general, and Financial Markets Data in particular. However, ...

matplotlib.pyplot.subplots() 関数 は、Figure（matplotlib.figure.Figure クラスのインスタンス）と、Axes （matplotlib.axes.Axes クラスのインスタンス）、または Axes の配列を生成し、返り値として返します。 Figure はキャンバス、Axes はx軸、y軸 を持ち、その中にデータが ...

For several plots I'd like to have a secondary x axis that is a non-affine transformation of the original axis. Following a very old discussion on nabble I recognized that it is only possible, if I ...

前回記事ではMatplotlibの基礎を学びましたが今回は応用でAnimation(動画およびGif)を作成します。モジュールは"matplotlib.animation"を使用していきます。 ー＞ループの回数と同じ ー＞リストを渡すとリスト内データがループする fargs：ループ用以外に引数がある ...

It is possible to set a logarithmic scale for one or both axes. This functionality is in fact only one application of a more general transformation system in Matplotlib. Each of the axes' scales are ...

Matplotlib is a leading library for data visualisation in Python, essential for creating impressive plots effortlessly. The library has influenced many other popular plotting libraries, highlighting ...

Now that we've seen the basics, let's break it all down with a more formal introduction of Matplotlib's Object Oriented API. This means we will instantiate figure objects and then call methods or ...