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11.4.14. astroML.datasets.fetch_rrlyrae_mags

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

Loader for RR-Lyrae data

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 : recarray, shape = (483,)

record array containing imaging data

Notes

This data is from table 1 of Sesar et al 2010 ApJ 708:717

Examples

>>> from astroML.datasets import fetch_rrlyrae_mags
>>> data = fetch_rrlyrae_mags()
>>> data.shape  # number of objects in dataset
(483,)
>>> print data.names[:5]  # names of the first five columns
['ra', 'dec', 'run', 'rExtSFD', 'uRaw']
>>> print data['ra'][:2]
[ 0.265165  0.265413]
>>> print data['dec'][:2]
[-0.444861 -0.62201 ]