As with statsmodels, Matplotlib does have a learning curve. There are two major interfaces, a low-level "axes" method and a ...

Analyze and forecast natural gas prices using time series data, with seasonality decomposition and signal detection for trading strategy insights.

随后，NumPy、SciPy、matplotlib、pandas等库相继问世，让Python迅速成长为科研、金融、数据分析领域的王牌。 越来越多的程序员选择Python，并基于它开发了各类工具，在开源社区贡献了海量的代码和解决方案，逐渐构建出属于Python的生态护城河。

Add a description, image, and links to the data-science-pandas-matplotlib-visualization-colab topic page so that developers can more easily learn about it.