pyXDF is a Python importer for XDF files.

import matplotlib.pyplot as plt
import numpy as np

import pyxdf

data, header = pyxdf.load_xdf("test.xdf")

for stream in data:
    y = stream["time_series"]

    if isinstance(y, list):
        # list of strings, draw one vertical line for each marker
        for timestamp, marker in zip(stream["time_stamps"], y):
            plt.axvline(x=timestamp)
            print(f'Marker "{marker[0]}" @ {timestamp:.2f}s')
    elif isinstance(y, np.ndarray):
        # numeric data, draw as lines
        plt.plot(stream["time_stamps"], y)
    else:
        raise RuntimeError("Unknown stream format")

plt.show()

pyxdf has an examples module, which can be run from the command line for basic functionality.

• print_metadata will enable a DEBUG logger to log read messages, then it will print basic metadata about each found stream.
  • python -m pyxdf.examples.print_metadata -f=/path/to/my.xdf
• playback_lsl will open an XDF file then replay its data in an infinite loop, but using current timestamps. This is useful for prototyping online processing.
  • python -m pyxdf.examples.playback_lsl /path/to/my.xdf

The latest stable version can be installed with pip install pyxdf.

For the latest development version, use pip install git+https://github.com/xdf-modules/pyxdf.git.

A new release is automatically uploaded to PyPI. Therefore, as soon as a new release is created on GitHub (using a tag labeled e.g. v1.16.3), a PyPI package is created with the version number matching the release tag.