11.8.3. astroML.correlation.bootstrap_two_point

astroML.correlation.bootstrap_two_point(data, bins, Nbootstrap=10, method='standard', return_bootstraps=False, random_state=None)

Bootstrapped two-point correlation function

Parameters

dataarray_like

input data, shape = [n_samples, n_features]

binsarray_like

bins within which to compute the 2-point correlation. shape = Nbins + 1

Nbootstrapinteger

number of bootstrap resamples to perform (default = 10)

methodstring

“standard” or “landy-szalay”.

return_bootstraps: bool

if True, return full bootstrapped samples

random_stateinteger, np.random.RandomState, or None

specify the random state to use for generating background

Returns

corr, corr_errndarrays

the estimate of the correlation function and the bootstrap error within each bin. shape = Nbins