NumPy based Python module for reading TDMS files produced by LabView
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Latest commit 69fffc7 Jan 14, 2017 @adamreeve committed on GitHub Merge pull request #55 from jshridha/master
Passing BytesIO object doesnt work due to dtype.itemsize not returning itemsize



wercker status

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 =
time = channel.time_track()
# do stuff with data

For more information, see the npTDMS documentation.


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 install


Source code lives at and any issues can be reported at Documentation is available at

What Currently Doesn't Work

This module doesn't support TDMS files with XML headers or with extended floating point data.


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.

Thanks to nmgeek and jshridha for implementing support for DAQmx raw data files.