Skip to main content

Python package for importing XDF (Extensible Data Format) files

Project description

Latest PyPI Release Latest Conda Release Python 3.10+ License

PyXDF

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyxdf-1.17.5.tar.gz (35.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyxdf-1.17.5-py3-none-any.whl (21.6 kB view details)

Uploaded Python 3

File details

Details for the file pyxdf-1.17.5.tar.gz.

File metadata

  • Download URL: pyxdf-1.17.5.tar.gz
  • Upload date:
  • Size: 35.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.21 {"installer":{"name":"uv","version":"0.11.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pyxdf-1.17.5.tar.gz
Algorithm Hash digest
SHA256 97ab76e066855ed2233ebd8a2b046ea01306c5846a9471194c6dbc7e3a6a7bf4
MD5 d9b295c6a4383f956f8b5f2f454c0602
BLAKE2b-256 f6e90e34f94f443fa88d70ddce91d4f3fbce319165dee09309e6ba6029cb1eda

See more details on using hashes here.

File details

Details for the file pyxdf-1.17.5-py3-none-any.whl.

File metadata

  • Download URL: pyxdf-1.17.5-py3-none-any.whl
  • Upload date:
  • Size: 21.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.21 {"installer":{"name":"uv","version":"0.11.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pyxdf-1.17.5-py3-none-any.whl
Algorithm Hash digest
SHA256 3162772dba88ed4516956f91ec05ea87b8c93387a403dacb7497ffcd0ee345af
MD5 7fc17a188be0e3abc56fdc863ae97a16
BLAKE2b-256 922640408ec2d50b5a3794c1fbace10ca36882eb0d97bc2633d76e4edfb29efe

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page