Metadata-Version: 2.1
Name: nitdms
Version: 2.0.1
Summary: A pythonic reader for TDMS files generated by LabVIEW
Home-page: https://github.com/l-johnston/nitdms
Author: Lee Johnston
Author-email: lee.johnston.100@gmail.com
License: MIT
Description: [![Build Status](https://dev.azure.com/l-johnston/nitdms/_apis/build/status/l-johnston.nitdms?branchName=master)](https://img.shields.io/azure-devops/build/l-johnston/nitdms/14) ![Azure DevOps coverage](https://img.shields.io/azure-devops/coverage/l-johnston/nitdms/14) ![PyPI version](https://img.shields.io/pypi/v/nitdms)
        # `nitdms` - A pythonic TDMS file reader
        
        The main export from the `nitdms` package is the TdmsFile class. Upon instantiation,
        the reader loads the file into memory and discovers all of the file, group and channel
        objects and respective properties. These objects and properties are dynamically 
        instantiated as attributes allowing easy access from within an interactive session
        with tab completion such as Jupyter or bash.
        
        Channel data is returned as a numpy ndarray, or WaveformDT if data in the file is from
        LabVIEW's waveform data type. WaveformDT is a subclass of ndarray that mimics
        the waveform data type.
        LabVIEW's timestamp is stored as UTC in the TDMS file. `nitdms` returns the timestamp
        in the machine's local time zone consistent with LabVIEW and aligns with WaveformDT.
        
        ## Installing
        ```bash
        $ pip install nitdms
        ```
        
        ## Usage
        Within an interactive session with tab completion:
        ```python
        >>> from nitdms import TdmsFile
        >>> tf = TdmsFile(<file>)
        >>> data = tf.<group>.<channel>.data
        >>> t0 = tf.<group>.<channel>.wf_start_time
        >>> dt = tf.<group>.<channel>.wf_increment
        >>> group_property = tf.<group>.<property>
        ```
        
        ## Documentation
        https://l-johnston.github.io/nitdms/
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Description-Content-Type: text/markdown
