KDEpy is a Python library for kernel density estimation (KDE). It provides implementations of various KDE methods including naive, convolution, FFT, and tree-based approaches. Current version is 1.1.12. Release cadence is irregular, with updates primarily for compatibility and bug fixes.
pip install kdepyVerified import paths — ran on the pinned version, not inferred.
Fit a kernel density estimate using FFT-based KDE with Improved Sheather-Jones bandwidth selection.
Use uppercase KDE in the import statement.
Use `from KDEpy.bandwidth import Bandwidth` or rely on automatic bandwidth selection via `bw` parameter.
Explicitly specify `bw='silverman'` if you need the old default.
Use `bw` instead of `bw_method`.