API for Users

This page gives an overview over all public functions and classes of Syncopy.

High-level functions

These meta-functions bundle many related analysis methods into one high-level function.

syncopy.preprocessing(data[, filter_class, ...])	Preprocessing of time continuous raw data with IIR and FIR filters
syncopy.resampledata(data[, resamplefs, ...])	Performs resampling or downsampling of AnalogData objects, representing uniformly sampled time series data.
syncopy.freqanalysis(data[, method, output, ...])	Perform (time-)frequency analysis of Syncopy AnalogData objects
syncopy.connectivityanalysis(data[, method, ...])	Perform connectivity analysis of Syncopy SpectralData OR directly AnalogData objects
syncopy.timelockanalysis(data[, latency, ...])	Average, variance and covariance for AnalogData objects across trials.

Descriptive Statistics

syncopy.mean(spy_data, dim[, keeptrials, ...])	Calculates the average along arbitrary dimensions of a Syncopy data object spy_data.
syncopy.var(spy_data, dim[, keeptrials, ...])	Calculates the variance along arbitrary dimensions of a Syncopy data object spy_data.
syncopy.std(spy_data, dim[, keeptrials, ...])	Calculates the standard deviation along arbitrary dimensions of a Syncopy data object spy_data.
syncopy.median(spy_data, dim[, keeptrials, ...])	Calculates the median along arbitrary dimensions of a Syncopy data object spy_data.
syncopy.itc(spec_data[, select])	Calculates the inter trial coherence for a SpectralData spec_data object, the input spectrum needs to be complex.
syncopy.spike_psth(data[, binsize, output, ...])	Peristimulus time histogram

Utility

syncopy.definetrial(obj[, trialdefinition, ...])	(Re-)define trials of a Syncopy data object
syncopy.selectdata(data[, trials, channel, ...])	Create a new Syncopy object from a selection
syncopy.show(data[, squeeze])	Show (partial) contents of Syncopy object
syncopy.cleanup([older_than, interactive])	Delete old files in temporary Syncopy folder

I/O

Functions to import and export data in Syncopy

syncopy.load(filename[, tag, dataclass, ...])	Load Syncopy data object(s) from disk
syncopy.save(out[, container, tag, ...])	Save Syncopy data object to disk
syncopy.load_ft_raw(filename[, list_only, ...])	Imports raw time-series data from Field Trip into potentially multiple AnalogData objects, one for each structure found within the MAT-file.
syncopy.load_tdt(data_path[, start_code, ...])	Imports TDT time series data and meta-information into a single AnalogData object.
syncopy.load_nwb(filename[, memuse, container])	Read contents of NWB files
syncopy.copy(spydata)	Create a copy of the entire Syncopy object data on disk

Plotting

These convenience function are intended to be used for a quick visual inspection of data and results.

syncopy.singlepanelplot(data, **show_kwargs)	Plot Syncopy data in a single panel
syncopy.multipanelplot(data, **show_kwargs)	Plot Syncopy data in multiple panels

Data Types

Syncopy data types are Python classes, which offer convenient ways for data access and manipulation.

syncopy.AnalogData([data, filename, ...])	Multi-channel, uniformly-sampled, analog (real float) data
syncopy.SpectralData([data, filename, ...])	Multi-channel, real or complex spectral data
syncopy.CrossSpectralData([data, filename, ...])	Multi-channel real or complex spectral connectivity data
syncopy.SpikeData([data, filename, ...])	Spike times of multi- and/or single units
syncopy.EventData([data, filename, ...])	Timestamps and integer codes of experimental events