Tutorials/Example Notebooks

These examples are available as executable Jupyter Notebooks from the Github repository (the files ending in .ipynb). The link to the notebook files is given at the end of each page.

Each Notebook comes with a link that looks like this:

When clicking on this link, the notebook will open in an interactive session in your browser without the need to install pypillometry at all.

List of Notebooks:

• Importing data from Eyelink EDF files
• Importing data from Eyelink ASC files
  • Generalize to multiple similar datasets
• Example datasets included in pypillometry
• Pipeline-based processing in pypillometry
  • In-place vs. copying data
• Processing monocular and binocular data
  • Which functions work on which data?
  • Creating new variables or eyes
  • Debugging
• Blink preprocessing
  • Blink detection
  • Merging blinks
  • Interpolating blinks
• Plotting pupillometric data for exploration
  • Plotting pupil data
  • Comparing datasets
  • Plotting all variables
  • pupil_plot_segments()
  • Inspecting blinks and other intervals
  • Interactive plotting
• Summarizing pupillometric data
• Event-related pupil dilations
  • Group-level ERPDs
• Modeling the pupillometric signal
  • Traditional approaches for disentangling tonic and phasic components
  • Advanced methods for tonic/phasic component estimation
• Example: Preprocessing of a full dataset with multiple subjects