braindecode.preprocessing.Crop#
- class braindecode.preprocessing.Crop(tmin=0.0, tmax=None, include_tmax=True, *, verbose=None)[source]#
Crop raw data file.
Limit the data from the raw file to go between specific times. Note that the new
tmin
is assumed to bet=0
for all subsequently called functions (e.g.,time_as_index()
, orEpochs
). New first_samp and last_samp are set accordingly.Thus function operates in-place on the instance. Use
mne.io.Raw.copy()
if operation on a copy is desired.- Parameters:
- tminfloat
Start time of the raw data to use in seconds (must be >= 0).
- tmaxfloat
End time of the raw data to use in seconds (cannot exceed data duration).
- include_tmaxbool
If True (default), include tmax. If False, exclude tmax (similar to how Python indexing typically works).
New in version 0.19.
- verbosebool | 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.
- Returns:
- rawinstance of Raw
The cropped raw object, modified in-place.
- See more details in mne.io.base.crop