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11.4.11. astroML.datasets.fetch_great_wall

astroML.datasets.fetch_great_wall(data_home=None, download_if_missing=True, xlim=(-375, -175), ylim=(-300, 200))

Get the 2D SDSS “Great Wall” distribution, following Cowan et al 2008

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.

xlim, ylim : tuples or None

the limits in Mpc of the data: default values are the same as that used for the plots in Cowan 2008. If set to None, no cuts will be performed.

Returns :

data : ndarray, shape = (Ngals, 2)

grid of projected (x, y) locations of galaxies in Mpc