mne.read_evokeds¶
-
mne.
read_evokeds
(fname, condition=None, baseline=None, kind='average', proj=True, allow_maxshield=False, verbose=None)[source]¶ Read evoked dataset(s).
- Parameters
- fname
str
The file name, which should end with -ave.fif or -ave.fif.gz.
- condition
int
orstr
|list
ofint
orstr
|None
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.
- baseline
None
(default) ortuple
of length 2 The time interval to apply baseline correction. If None do not apply it. If baseline is (a, b) the interval is between “a (s)” and “b (s)”. If a is None the beginning of the data is used and if b is None then b is set to the end of the interval. If baseline is equal to (None, None) all the time interval is used. Correction is applied by computing mean of the baseline period and subtracting it from the data. The baseline (a, b) includes both endpoints, i.e. all timepoints t such that a <= t <= b.
- kind
str
Either ‘average’ or ‘standard_error’, the type of data to read.
- projbool
If False, available projectors won’t be applied to the data.
- allow_maxshieldbool |
str
(defaultFalse
) 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.
- verbosebool,
str
,int
, orNone
If not None, override default verbose level (see
mne.verbose()
and Logging documentation for more).
- fname
- Returns
See also