PyXDF is a Python importer for XDF files.

Sample usage

The following example loads minimal.xdf (which you can download from here) and prints/plots all markers:

import matplotlib.pyplot as plt
import numpy as np

import pyxdf

data, header = pyxdf.load_xdf("minimal.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()

Note that you need to have matplotlib installed to run this example (which is not a dependency of PyXDF itself).

Command line interface (CLI)

PyXDF has a command line interface (CLI) with the following commands:

• print_metadata 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

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