brainstat.stats.utils.undo_mask

brainstat.stats.utils.undo_mask(Y, mask, axis=0, missing_value=nan)

Restores the original dimensions of masked data.

Parameters

• Y (array-like) – Masked data.

• mask (array-like) – Boolean vector used to mask the data.

• axis (int, optional) – Axis along which to operate, by default 0.

• missing_value (scalar, optional) – Number to insert for missing values, by default np.nan.

Returns

numpy.array – Unmasked data.