mne.io.read_raw_ctf#

mne.io.read_raw_ctf(directory, system_clock='truncate', preload=False, clean_names=False, verbose=None) → RawCTF[source]#

Raw object from CTF directory.

Parameters:

directorypath-like: Path to the CTF data (ending in '.ds').
system_clockstr: How to treat the system clock. Use “truncate” (default) to truncate the data file when the system clock drops to zero, and use “ignore” to ignore the system clock (e.g., if head positions are measured multiple times during a recording).
preloadbool or str (default False): 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, preload is the file name of a memory-mapped file which is used to store the data on the hard drive (slower, requires less memory).
clean_namesbool, optional: If True main channel names and compensation channel names will be cleaned from CTF suffixes. The default is False.
verbosebool | str | int | None: Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:

rawinstance of RawCTF: The raw data.

Notes

New in v0.11.

To read in the Polhemus digitization data (for example, from a .pos file), include the file in the CTF directory. The points will then automatically be read into the mne.io.Raw instance via mne.io.read_raw_ctf.