This documentation is for astroML version 0.2

This page


astroML Mailing List

GitHub Issue Tracker


Scipy 2012 (15 minute talk)

Scipy 2013 (20 minute talk)


If you use the software, please consider citing astroML.

11.4.19. astroML.datasets.fetch_LIGO_large

astroML.datasets.fetch_LIGO_large(data_home=None, download_if_missing=True)

Loader for LIGO large dataset

Parameters :

data_home : optional, default=None

Specify another download and cache folder for the datasets. By default all scikit learn data is stored in ‘~/astroML_data’ subfolders.

download_if_missing : optional, default=True

If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site.

Returns :

data : ndarray

dt : float

data represents ~2000s of amplitude data from LIGO hanford; dt is the time spacing between measurements in seconds.