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Latest PyPI Release Latest Conda Release Python 3.9+ License

pyXDF

pyXDF is a Python importer for XDF files.

Sample usage

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()

CLI examples

pyxdf has a cli module with the following basic command line tools:

  • print_metadata will enable a DEBUG logger to log read messages, then it will print basic metadata for each found stream.
    • python -m pyxdf.cli.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.cli.playback_lsl /path/to/my.xdf --loop

Installation

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.

For maintainers

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.