tedana.utils.unmask

unmask(data, mask)[source]

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 ((S [x E [x T]]) numpy.ndarray) – Unmasked data array