tapify

tapify is a Python package that implements a suite of multitaper spectral estimation techniques for analyzing time series data. It supports analysis of both evenly and unevenly sampled time series data.

The multitaper statistic was first proposed by Thomson (1982) as a non-parametric estimator of the spectrum of a time series. It is attractive because it tackles the problems of bias and consistency, which makes it an improvement over the classical periodogram for evenly sampled data and the Lomb-Scargle periodogram for uneven sampling. In basic statistical terms, this estimator allows us to confidently look at the properties of a time series in the frequency or Fourier domain.

Installation instructions

Dependencies

tapify requires the use of

• numpy,

• scipy,

• matplotlib (for plotting),

• finufft or nfft (for uneven sampling).

Installation

tapify is currently not yet available on PyPI, but it can be installed by downloading the source code or cloning the GitHub repository and running the standard:

python setup.py install

command or its usual variants (python setup.py install --user, python setup.py install --prefix=/PATH/TO/INSTALL/DIRECTORY, etc.).

For more information, please open an Issue on the GitHub page.

Contents:

• Introduction

Indices and tables

• Index

• Module Index

• Search Page