Syncopy Data Basics#

Syncopy utilizes a simple data format based on HDF5 and JSON (see Reading and Writing Data for details). These formats were chosen for their ubiquity as they can be handled well in virtually all popular programming languages, and for allowing streaming, parallel access enabling computing on parallel architectures.

Loading and Saving Syncopy (*.spy) Data#

Reading and writing data with Syncopy

syncopy.load(filename[, tag, dataclass, ...])

Load Syncopy data object(s) from disk[, container, tag, ...])

Save Syncopy data object to disk

Functions for Inspecting/Editing Syncopy Data Objects#

Defining trials, data selection and NumPy ndarray interface

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[, squeeze])

Show (partial) contents of Syncopy object

Plotting Functions#

syncopy.singlepanelplot(data, **show_kwargs)

Plot Syncopy data in a single panel

syncopy.multipanelplot(data, **show_kwargs)

Plot Syncopy data in multiple panels

Importing Data into Syncopy#

Currently, Syncopy supports importing data from FieldTrip raw data format, from NWB and TDT:[, ...])

Imports raw time-series data from Field Trip into potentially multiple AnalogData objects, one for each structure found within the MAT-file.[, memuse, ...])

Read contents of NWB files[, start_code, ...])

Imports TDT time series data and meta-information into a single AnalogData object.