This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 1.17.5 instead.
Reason given by maintainers: Severe regression regarding effective sampling frequency and clock segments
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_metadatawill 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_lslwill 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.
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