In JohannesNE/waveformtools: Tools for waveform analysis in my PhD project
Use the python module parse_vital to convert a .vital file to individual .csv files.
Use pypy to speed things up.
conda activate pypy
parse_vital --saveall --gzip <vital_file.vital>
This creates a folder named [vital_file] containing a csv file for each track in .vital. Each csv will be compressed with gzip, which can be read directly with read_csv.
JohannesNE/waveformtools documentation built on July 1, 2022, 8:48 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Use the python module parse_vital to convert a .vital file to individual .csv files.
Use pypy to speed things up.
conda activate pypy parse_vital --saveall --gzip <vital_file.vital>
This creates a folder named [vital_file] containing a csv file for each track in .vital. Each csv will be compressed with gzip, which can be read directly with read_csv.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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