tedana.utils.unmask

unmask(data, mask)

Unmasks data using non-zero entries of mask

Parameters:

• data ((M [x E [x T]]) array_like) – Masked array, where M is the number of True values in mask
• mask ((S,) array_like) – Boolean array of S samples that was used to mask data. It should have exactly M True values.

Returns:

out – Unmasked data array

Return type:

(S [x E [x T]]) numpy.ndarray