Python package for reading WaveSurfer data files
Project description
PyWaveSurfer is a Python package for reading data acquired using WaveSurfer.
See the official site for more information about WaveSurfer.
Example usage
from pywavesurfer import ws
# to get analog channels scaled in float64 :
data_as_dict = ws.loadDataFile(filename='path/to/file.h5', format_string='double' )
# to get analog channels scaled in float32:
data_as_dict = ws.loadDataFile(filename='path/to/file.h5', format_string='single' )
# to get the raw analog channels in int16:
data_as_dict = ws.loadDataFile(filename='path/to/file.h5', format_string='raw' )
Description of the content can be found in the documentation here.
Copyright
Except where noted, all code, documentation, images, and anything else in PyWaveSurfer is copyright 2017 by the Howard Hughes Medical Institute.
License
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of HHMI nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Maintainers
Adam L. Taylor Scientific Computing HHMI Janelia Research Campus
Version History
0.0.1 Oct 11, 2017 Initial release.
0.0.2 Oct 14, 2017 Added a check for WS version.
0.0.3 Aug 23, 2018 Added test for WS 0.97 data files, changed an exception to a warning, updated dependencies.
0.0.5 Oct 22, 2020
0.0.6 Oct 14, 2021 Updated dependencies, drop python 3.6, added 3.9. Moved CI/CD to Github Actions.
0.0.7 Oct 14, 2021 Updated dependencies, added context manager to h5py open.
0.0.8 Sep 19, 2022 Updated dependencies, drop python 3.7, added 3.10.
0.0.9 Jan 23, 2023 Updated dependencies.
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