Core and Session

Dataset containers, validation, and the shared session that the GUI and eegprep-console both use.

eegprep.EEGPrepSession([EEG, ALLEEG, ...])	EEGLAB-like GUI state without module globals.
eegprep.EEG_OPTIONS	dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2).
eegprep.eeg_readoptions(filename[, ...])	Parse an EEGLAB option script into header text and option records.
eegprep.disp(value)	Print value without a variable name.
eegprep.eeg_helphelp()	How EEGPrep help is organized.
eegprep.eeg_hist(eeg, command)	Append command to eeg["history"] and return the same dataset.
eegprep.gethelpvar(filename[, variables])	Return variable descriptions and names from an M-file help header.
eegprep.getkeyval(command, variable[, mode, ...])	Return an argument from an EEGLAB command-history expression.
eegprep.helpforexe(functions, folder)	Write one help script per function into folder.
eegprep.is_sccn()	Return 1 when this Unix host name contains ucsd.edu, else 0.
eegprep.iseeglabdeployed()	Return 1 when EEGPrep is running as a frozen packaged application.
eegprep.vararg2str(arguments[, inputnames, ...])	Return a comma-separated EEGLAB expression for function arguments.
eegprep.EEGobj(EEG_or_path)	Wrapper class for EEG datasets stored as dictionaries.
eegprep.checkset(*args, **kwargs)	Wrap eeg_checkset.
eegprep.compare(*args, **kwargs)	Wrap eeg_compare.
eegprep.eeg_checkset(EEG, *checks[, load_data])	Validate and set up EEG dataset structure.
eegprep.eeg_checkchanlocs(chans[, chaninfo])	Normalize channel locations and their shared metadata.
eegprep.eeg_checkset_strict_mode(enabled)	Context manager to control strict mode for eeg_checkset.
eegprep.eeg_compare(eeg1, eeg2[, ...])	Compare two EEG-like structures (or arrays) and return a difference summary.
eegprep.eeg_context(EEG[, targets, ...])	Return target-event context from the original urevent sequence.
eegprep.eeg_emptyset()	Return an empty EEG dictionary with EEGLAB core fields.
eegprep.eeg_eventhist(events, field[, bins])	Return event-field values, histogram counts, and bin labels or edges.
eegprep.eeg_eventtypes(EEG)	Return event type names and counts, sorted by decreasing count.
eegprep.eeg_getepochevent(EEG, *args, **kwargs)	Return a selected event-field value for each epoch.
eegprep.eeg_getdatact(EEG, *args[, ...])	Return selected channel data, component activity, or a backprojection.
eegprep.eeg_insertbound(events, pnts, regions)	Insert boundaries and adjust event latencies for removed regions.
eegprep.eeg_urlatency(events, latencies)	Map current-data latencies to their original continuous positions.
eegprep.eeg_retrieve(ALLEEG, index)	Return dataset(s) from ALLEEG using EEGLAB-facing 1-based indices.
eegprep.eeg_store(ALLEEG, EEG[, storeSetIndex])	Store EEG in ALLEEG using EEGLAB-facing 1-based indices.
eegprep.eeg_time2prev(EEG, target, previous)	Return delays from target events to preceding original events.
eegprep.eegh([command, history])	Display or update EEGLAB-style command history.
eegprep.eeglab([onearg, session, show, ...])	Start the EEGPrep EEGLAB-style main window.
eegprep.eeglab_execmenu(label, function, ...)	Run a menu-bound pop_* workflow with explicit parameters.
eegprep.options(*args, **kwargs)	Wrap EEG_OPTIONS.
eegprep.unique_cell_string(values)	Return unique string elements in first-seen order, ignoring non-strings.