mne.datasets.sample.data_path#
- mne.datasets.sample.data_path(path=None, force_update=False, update_path=True, download=True, *, verbose=None)[source]#
Get path to local copy of sample dataset.
- Parameters
- path
None|str Location of where to look for the sample dataset. If None, the environment variable or config parameter
MNE_DATASETS_SAMPLE_PATHis used. If it doesn’t exist, the “~/mne_data” directory is used. If the sample 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 sample dataset even if a local copy exists. Default is False.
- update_path
bool|None If True (default), set the
MNE_DATASETS_SAMPLE_PATHin mne-python config to the given path. If None, the user is prompted.- download
bool If False and the sample 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 sample dataset directory.
- pathinstance of