Cross-platform, NumPy based module for reading TDMS files produced by LabView.
Project description
Cross-platform module for reading TDMS files as produced by LabView. Data is stored as a numpy array, and is loaded using numpy’s fromfile routine so is very fast.
Typical usage might look like:
#!/usr/bin/env python from nptdms import TdmsFile tdms_file = TdmsFile("path_to_file.tdms") channel = tdms_file.object('Group', 'Channel1') data = channel.data time = channel.time_track() # do stuff with data
For more information, see the npTDMS documentation.
Installation
npTDMS is available from the Python Package Index, so the easiest way to install it is by running (as root):
pip install npTDMS
Alternatively, after downloading the source code you can extract it and change into the new directory, then run:
python setup.py install
Links
Source code lives at https://github.com/adamreeve/npTDMS and any issues can be reported at https://github.com/adamreeve/npTDMS/issues. Documentation is available at http://readthedocs.org/docs/nptdms.
What Currently Doesn’t Work
This module doesn’t support TDMS files with XML headers or with extended floating point data.
Files with DAQmx raw data are not supported either.
Contributors/Thanks
Thanks to Floris van Vugt who wrote the pyTDMS module, which helped when writing this module.
Thanks to Tony Perkins, Ruben De Smet, Martin Hochwallner and Peter Duncan for contributing support for converting to Pandas DataFrames.
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