Loading Gaze Data

Eye trackers export data in a variety of proprietary and semi-standard formats, such as binary EDF files, ASCII (ASC) exports, CSV or TSV tables, or vendor-specific text formats. These files differ in structure, time units, coordinate conventions, and in how samples, events, and metadata are represented. Converting them into a consistent internal representation is therefore a necessary first step before analysis.

Loading data into pymovements performs this conversion. The loading functions transform heterogeneous eye-tracker exports into a unified data structure by creating a Gaze object (read more about it in Understanding Eye-Tracking Data). This object stores time-ordered gaze samples together with the experimental metadata required for further interpretation and analysis.

• CSV Files
  • Time Information
  • Defining Gaze Components
  • Pixel vs. Position Coordinates
  • Using an Experiment
  • Automatic Column Detection
  • from_csv()
• EyeLink ASC Files
• BeGaze Exports
• IPC (Feather) Files