gwdama 0.6.0

A GW data manager package and more

This package aims at providing a unified and easy to use interface to access Gravitational Wave (GW) data and output some well organised datasets, ready to be used for Machine Learning projects or Data Analysis purposes (source properties, noise studies, etc.).

Package Status

Python Compatibility

These badges are generated by the test matrix and published to GitLab Pages.

Documentation

The Documentation is available at this link

Changelog

0.6.0

• Added support for Python 3.12;

0.5.2

• Added the optional return_output parameter to .read_gwdata(...) to allow (if True) aving a Dataset or a Group as the output of this method. The corrisponding data is added in any case to the GwDataManager object.

0.5.1

• .plot() method for Dataset class. Mainly aimed at time sereis data, with t0 and sample_rate attributes;

0.5.0

• If one passes ffl_spec or ffl_path or gwf_path parameter to read_gwdata, then data_source is automatically set to local;

• Some parameter names have been slightly simplified. E.g.: m_data_source -> data_source;

• hist method of Dataset <https://gwnoisehunt.gitlab.io/gwdama/dataset.html>`_s now has a ``ax` parameter to specify an existing matplotlib axes.

0.4.5

• Added interface with GWpy;

• Multi-Taper Method.

0.4.1

• Methods: hist, duration;

• Attributes: groups;

• Preprocessing functions: PSD, whiten, taper.

0.4.0

• Implemented support for data on Virgo Farm.