mne.io.read_raw_mef#
- mne.io.read_raw_mef(fname, *, password='', preload=False, verbose=None)[source]#
Read raw data from MEF3 files.
- Parameters:
- fnamepath-like
Path to the MEF3
.mefddirectory.- password
str|bytes|None Password for encrypted MEF sessions. Use an empty string for unencrypted data.
- preloadbool |
str Preload data into memory for data manipulation and faster indexing. If True, the data will be preloaded into memory (fast, requires large amount of memory). If preload is a string, it is the name of a freshly created memory-mapped file used to store the data on the hard drive (slower, requires less memory). An existing file is overwritten. The caller owns the file and is responsible for removing it after the Raw object is no longer in use. For supported Raw readers, the exact string
"auto"instead reuses decoded data below the directory configured bymne.set_cache_dir(). Entries persist without a size limit and are mapped copy-on-write. UsePath("auto")for a literal filename.Changed in version 1.13: Support for the
"auto"decoded-data cache was added.- verbosebool |
str|int|None Control verbosity of the logging output. If
None, use the default verbosity level. See the logging documentation andmne.verbose()for details. Should only be passed as a keyword argument.
- Returns:
- rawinstance of
RawMEF The raw instance. See
mne.io.Rawfor documentation of attributes and methods.
- rawinstance of
See also
mne.io.RawDocumentation of attributes and methods of RawMEF.
Notes
New in v1.12.
Data is read using the pymef package.
Channel types default to sEEG (stereo-EEG). Use
raw.set_channel_types()to set appropriate types after loading.Examples
Read a MEF3 file:
>>> raw = mne.io.read_raw_mef('recording.mefd')