Metadata-Version: 1.1
Name: npTDMS
Version: 0.7.1
Summary: Cross-platform, NumPy based module for reading TDMS files produced by LabView.
Home-page: https://github.com/adamreeve/npTDMS
Author: Adam Reeve
Author-email: adreeve@gmail.com
License: LGPL
Description: npTDMS
        ======
        
        .. image:: https://app.wercker.com/status/446c67339f7d484188a35abc64dd3f51/s/master
            :alt: wercker status
            :target: https://app.wercker.com/project/bykey/446c67339f7d484188a35abc64dd3f51
        
        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 <http://readthedocs.org/docs/nptdms>`__.
        
        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.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
