- MNE version: e.g. 0.24.1
- operating system: Windows 10
Dear mne community! My goal is to avoid repetative parsing, since I’m working with large EDF files. My idea was to save raw object to file, so if I modify my script and want to apply it to the same data many times, I don’t have to parse the EDF each time, but load pre-saved raw object. I assumed that there are some tools, that allow to achieve this.
I tried to pre-save the data in .fif format and then load it with
read_raw_fif() but it turns out to be slower than
read_raw_edf() what is actually parsing I won’t to avoid.
I’m not familiar with .fif formal so it probably EDF style format but maybe even heavier.
Additional thought was to save the data array which is
np.ndarray but then how do I construct
raw object with this pre-saved matrix? I have to have all metadata(headers, sampling frequency, ect) to build proper
Thanks in advance!