Tutorials#
The tutorials are Jupyter notebooks that show how to do specific tasks
from start to finish. Each page has a link to the notebook on GitHub and a
Binder link 
that opens it in your browser, so you can run it
without installing anything.
If you are new to pypillometry, start with the
Quickstart.
Reading data#
Read an EDF file, including events and calibration data.
Read text files with pandas and build a data object from arrays.
Add events from the log of the experiment software and synchronize its clock with the eye tracker.
The datasets that come with the package.
Working with data objects#
Chain processing steps, keep a record of them, and decide between in-place changes and copies.
Monocular and binocular data, selecting and combining eyes, adding variables.
Summaries of one or many datasets: contents, data quality, masked data and one value per trial, as tables.
Preprocessing and plotting#
Detect, check and interpolate blinks.
Mask layers and policies on a real recording: blinks, off-screen gaze, excluded periods, interpolation and their effect on analyses.
Plot pupil and gaze data for exploration and quality checks.
Modeling and complete analyses#
Separate the signal into tonic baseline and phasic responses.
Preprocess a full study with many participants.
One recording from start to end: behavioural log as event metadata, preprocessing, tonic pupil and ERPDs.
More examples for the experimental features are in Experimental features.