We introduce the Python package, FDApy, as an implementation of functional data. This package provide modules for the analysis of such data. It includes classes for different dimensional data as well as irregularly sampled functional data. A simulation toolbox is also provided. It might be used to simulate different clusters of functional data. Some methodologies to handle these data are implemented, such as dimension reduction and clustering. New methods can be easily added. The package is publicly available on the Python Package Index and Github.

中文翻译：

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FDApy：用于功能数据的Python包

我们介绍Python包FDApy，作为功能数据的实现。该软件包提供了用于分析此类数据的模块。它包括用于不同维数据以及不规则采样的功能数据的类。还提供了一个仿真工具箱。它可能用于模拟功能数据的不同簇。实现了一些处理这些数据的方法，例如降维和聚类。可以轻松添加新方法。该软件包可在Python软件包索引和Github上公开获得。