nptdms

NumPy based Python module for reading TDMS files produced by LabView

https://github.com/adamreeve/nptdms

Science Score: 13.0%

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    Low similarity (14.4%) to scientific vocabulary

Keywords

daqmx labview national-instruments numpy python scipy tdms

Keywords from Contributors

version
Last synced: 6 months ago · JSON representation

Repository

NumPy based Python module for reading TDMS files produced by LabView

Basic Info
  • Host: GitHub
  • Owner: adamreeve
  • License: lgpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage: http://nptdms.readthedocs.io
  • Size: 789 KB
Statistics
  • Stars: 260
  • Watchers: 23
  • Forks: 94
  • Open Issues: 20
  • Releases: 28
Topics
daqmx labview national-instruments numpy python scipy tdms
Created about 14 years ago · Last pushed 7 months ago
Metadata Files
Readme License

README.rst

npTDMS
======

.. image:: https://img.shields.io/pypi/v/npTDMS.svg
    :alt: PyPI Version
    :target: https://pypi.org/project/npTDMS/
.. image:: https://github.com/adamreeve/npTDMS/actions/workflows/ci-cd.yml/badge.svg?branch=master&event=push
    :alt: Build status
    :target: https://github.com/adamreeve/npTDMS/actions/workflows/ci-cd.yml?query=event%3Apush+branch%3Amaster
.. image:: https://readthedocs.org/projects/nptdms/badge/?version=latest
    :target: https://nptdms.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status
.. image:: https://codecov.io/gh/adamreeve/npTDMS/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/adamreeve/npTDMS
    :alt: Code coverage


npTDMS is a cross-platform Python package for reading and writing TDMS files as produced by LabVIEW,
and is built on top of the `numpy `__ package.
Data is read from TDMS files as numpy arrays,
and npTDMS also allows writing numpy arrays to TDMS files.

TDMS files are structured in a hierarchy of groups and channels.
A TDMS file can contain multiple groups, which may each contain multiple channels.
A file, group and channel may all have properties associated with them,
but only channels have array data.

Typical usage when reading a TDMS file might look like::

    from nptdms import TdmsFile

    tdms_file = TdmsFile.read("path_to_file.tdms")
    group = tdms_file['group name']
    channel = group['channel name']
    channel_data = channel[:]
    channel_properties = channel.properties

The ``TdmsFile.read`` method reads all data into memory immediately.
When you are working with large TDMS files or don't need to read all channel data,
you can instead use ``TdmsFile.open``. This is more memory efficient but
accessing data can be slower::

    with TdmsFile.open("path_to_file.tdms") as tdms_file:
        group = tdms_file['group name']
        channel = group['channel name']
        channel_data = channel[:]

npTDMS also has rudimentary support for writing TDMS files.
Using npTDMS to write a TDMS file looks like::

    from nptdms import TdmsWriter, ChannelObject
    import numpy

    with TdmsWriter("path_to_file.tdms") as tdms_writer:
        data_array = numpy.linspace(0, 1, 10)
        channel = ChannelObject('group name', 'channel name', data_array)
        tdms_writer.write_segment([channel])

For more detailed documentation on reading and writing TDMS files,
see the `npTDMS documentation `__.

Installation
------------

npTDMS is available from the Python Package Index, so the easiest way to
install it is by running::

    pip install npTDMS

There are optional features available that require additional dependencies.
These are `hdf` for hdf export, `pandas` for pandas DataFrame export, and
`thermocouple_scaling` for using thermocouple scalings. You can specify these
extra features when installing npTDMS to also install the dependencies they
require::

    pip install npTDMS[hdf,pandas,thermocouple_scaling]

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://nptdms.readthedocs.io.

Limitations
-----------

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

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.

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

Owner

  • Name: Adam Reeve
  • Login: adamreeve
  • Kind: user
  • Location: Auckland, New Zealand

GitHub Events

Total
  • Create event: 2
  • Release event: 1
  • Issues event: 14
  • Watch event: 20
  • Delete event: 1
  • Issue comment event: 27
  • Push event: 5
  • Pull request review event: 9
  • Pull request review comment event: 13
  • Pull request event: 6
  • Fork event: 3
Last Year
  • Create event: 2
  • Release event: 1
  • Issues event: 14
  • Watch event: 20
  • Delete event: 1
  • Issue comment event: 27
  • Push event: 5
  • Pull request review event: 9
  • Pull request review comment event: 13
  • Pull request event: 6
  • Fork event: 3

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 449
  • Total Committers: 31
  • Avg Commits per committer: 14.484
  • Development Distribution Score (DDS): 0.196
Past Year
  • Commits: 7
  • Committers: 2
  • Avg Commits per committer: 3.5
  • Development Distribution Score (DDS): 0.143
Top Committers
Name Email Commits
Adam Reeve a****e@g****m 361
Glenn Wikle g****e@s****m 20
Jonathan Deng j****g@g****m 8
Adam Suban-Loewen a****n@g****m 8
Ruben De Smet r****t@t****e 7
James Myatt j****t@t****m 7
Ryan Friedman r****n@n****m 4
Jay Shridharani j****a@g****m 4
Alejandro del Castillo a****o@n****m 3
Adam Reeve a****e@x****m 2
Guru Manoj g****y@s****m 2
Owain Jones o****j@b****i 2
rprzysowa r****a@g****m 2
toperkin t****n@g****m 2
fisher c****r@c****r 1
Achilles1515 d****d@g****m 1
Carlo c****i 1
Guru Manoj a****j@g****m 1
Jim Kring j****g@j****t 1
Johannes Loibl 4****l 1
Jonathan Giannuzzi j****i 1
Joschka zur Jaсobsmühlen j****n@m****e 1
KasparNagu k****r@n****m 1
Lars Nielsen l****s@g****m 1
Marcel Eifert 4****1 1
Martin m****n@m****t 1
Martin Hochwallner m****r@g****m 1
Prism V. Penguin p****v 1
Todd t****8@g****m 1
Walt Woods w****n@g****m 1
and 1 more...

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 80
  • Total pull requests: 59
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 1 day
  • Total issue authors: 69
  • Total pull request authors: 8
  • Average comments per issue: 3.0
  • Average comments per pull request: 0.98
  • Merged pull requests: 54
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 10
  • Pull requests: 4
  • Average time to close issues: 26 days
  • Average time to close pull requests: 2 days
  • Issue authors: 10
  • Pull request authors: 2
  • Average comments per issue: 1.6
  • Average comments per pull request: 2.25
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • adamreeve (6)
  • Achilles1515 (3)
  • jimkring (3)
  • CrazyGang97 (2)
  • rddaz2013 (2)
  • Samuel38 (1)
  • BockiBock (1)
  • nkraemer2 (1)
  • nup002 (1)
  • dulacskamty (1)
  • evanhorn (1)
  • m-birke (1)
  • NickSebClark (1)
  • Nablaaa (1)
  • suntracks (1)
Pull Request Authors
  • adamreeve (58)
  • Eifi1 (4)
  • johannesloibl (2)
  • jimkring (2)
  • looopTools (1)
  • jgiannuzzi (1)
  • auxym (1)
  • Anselmoo (1)
  • adelcast (1)
Top Labels
Issue Labels
Feature (9) Bug (6) Improvement (4) Docs (1)
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 237,516 last-month
  • Total dependent packages: 14
    (may contain duplicates)
  • Total dependent repositories: 25
    (may contain duplicates)
  • Total versions: 100
  • Total maintainers: 1
pypi.org: nptdms

Cross-platform, NumPy based module for reading TDMS files produced by LabView

  • Versions: 75
  • Dependent Packages: 14
  • Dependent Repositories: 24
  • Downloads: 237,516 Last month
Rankings
Dependent packages count: 0.8%
Downloads: 1.6%
Average: 3.0%
Dependent repos count: 3.0%
Stargazers count: 4.5%
Forks count: 4.9%
Maintainers (1)
Last synced: 6 months ago
conda-forge.org: nptdms

npTDMS is a cross-platform Python package for reading and writing TDMS files as produced by LabVIEW, and is built on top of the numpy package. Data read from a TDMS file is stored in numpy arrays, and numpy arrays are also used when writing TDMS file.

  • Versions: 25
  • Dependent Packages: 0
  • Dependent Repositories: 1
Rankings
Forks count: 20.4%
Dependent repos count: 24.4%
Stargazers count: 26.2%
Average: 30.6%
Dependent packages count: 51.6%
Last synced: 6 months ago

Dependencies

.github/workflows/ci-cd.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v2 composite
  • pypa/gh-action-pypi-publish release/v1 composite
docs/requirements.txt pypi
  • readthedocs-sphinx-search ==0.1.1
  • sphinx ==4.2.0
  • sphinx_rtd_theme ==1.0.0
setup.py pypi
  • numpy *
pyproject.toml pypi