mapcorr#

mapcorr(first, second, first_channels, second_channels, remove_mean=False, method=2, weighting=None)#

Match rows after aligning map columns by common channel labels.

Returned row indices are 1-based. Subtract 1 before using them as NumPy indices. EEGLAB forces method 2 for some non-square maps; the requested method is kept here.

Parameters:
Return type:

tuple[ndarray, ndarray, ndarray, ndarray]