raw_from_layout¶

raw_from_layout(layout: BIDSLayout, preload: bool = True, run: list[int] | int = None, **kwargs) → Raw[source][source]¶

Searches a BIDSLayout for a raw file and returns a mne Raw object.

Parameters:

layout (BIDSLayout) – The BIDSLayout to search.
preload (bool 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).
run (Union[List[int], int], optional) – The run to search for, by default None
**kwargs (dict) – The parameters passed to bids.BIDSLayout.get()

Return type:

mne.io.Raw

Examples

>>> import mne
>>> bids_root = mne.datasets.epilepsy_ecog.data_path(verbose=False)
>>> layout = BIDSLayout(bids_root)
>>> raw = raw_from_layout(layout, subject="pt1", preload=True,
... extension=".vhdr", verbose=False)
Reading 0 ... 269079  =      0.000 ...   269.079 secs...

Examples using `ieeg.io.raw_from_layout`¶

High Gamma Filter

Line noise filtering script

Load IEEG Data Example

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raw_from_layout¶

Examples using ieeg.io.raw_from_layout¶

Examples using `ieeg.io.raw_from_layout`¶