kalepy: a python package for kernel density estimation and sampling
Luke Zoltan Kelley · Figshare · 2021
The kalepy package performs kernel density estimation on multidimensional data. It is designed to 1) calculate estimated PDFs (probability distribution functions), 2) resample new data from those PDFs, and 3) plot generalized and multivariate distributions. The kalepy implementation is designed for broad applicability by including numerous features absent in other packages presented in a class-based structure that is easily extensibility. kalepy provides optional weightings, reflecting boundary conditions, an arbitrary number of dimensions, numerous kernel functions, built-in plotting, and built-in resampling.