- mne.read_evokeds(fname, condition=None, baseline=None, kind='average', proj=True, allow_maxshield=False, verbose=None)¶
Read evoked dataset(s).
The file name, which should end with -ave.fif or -ave.fif.gz.
The index or list of indices of the evoked dataset to read. FIF files can contain multiple datasets. If None, all datasets are returned as a list.
tupleof length 2
The time interval to consider as “baseline” when applying baseline correction. If
None, do not apply baseline correction. If a tuple
(a, b), the interval is between
b(in seconds), including the endpoints. If
None, the beginning of the data is used; and if
None, it is set to the end of the interval. If
(None, None), the entire time interval is used.
(a, b)includes both endpoints, i.e. all timepoints
a <= t <= b.
Correction is applied to each channel individually in the following way:
Calculate the mean signal of the baseline period.
Subtract this mean from the entire
None(default), do not apply baseline correction.
Note that if the read
Evokedobjects have already been baseline-corrected, the data retrieved from disk will always be baseline-corrected (in fact, only the baseline-corrected version of the data will be saved, so there is no way to undo this procedure). Only after the data has been loaded, a custom (additional) baseline correction may be optionally applied by passing a tuple here. Passing
Nonewill not remove an existing baseline correction, but merely omit the optional, additional baseline correction.
Either ‘average’ or ‘standard_error’, the type of data to read.
If False, available projectors won’t be applied to the data.
- allow_maxshieldbool |
If True, allow loading of data that has been recorded with internal active compensation (MaxShield). Data recorded with MaxShield should generally not be loaded directly, but should first be processed using SSS/tSSS to remove the compensation signals that may also affect brain activity. Can also be “yes” to load without eliciting a warning.
Changed in version 0.23: If the read
Evokedobjects had been baseline-corrected before saving, this will be reflected in their
baselineattribute after reading.