mne.datasets.opm.data_path#
- mne.datasets.opm.data_path(path=None, force_update=False, update_path=True, download=True, *, verbose=None)[source]#
Get path to local copy of opm dataset.
- Parameters:
- path
None
|str
Location of where to look for the opm dataset. If None, the environment variable or config parameter
MNE_DATASETS_OPML_PATH
is used. If it doesn’t exist, the “~/mne_data” directory is used. If the opm dataset is not found under the given path, the data will be automatically downloaded to the specified folder.- force_update
bool
Force update of the opm dataset even if a local copy exists. Default is False.
- update_path
bool
|None
If True (default), set the
MNE_DATASETS_OPML_PATH
in mne-python config to the given path. If None, the user is prompted.- download
bool
If False and the opm dataset has not been downloaded yet, it will not be downloaded and the path will be returned as ‘’ (empty string). This is mostly used for debugging purposes and can be safely ignored by most users.
- verbose
bool
|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.
- path
- Returns:
- pathinstance of
pathlib.Path
Path to opm dataset directory.
- pathinstance of