https://github.com/imrehg/pylibnidaqmx-clone

Cloning the pynidacqmx library from the official SVN repo
https://github.com/imrehg/pylibnidaqmx-clone

Last synced: 12 days ago
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Cloning the pynidacqmx library from the official SVN repo

• Host: GitHub
• URL: https://github.com/imrehg/pylibnidaqmx-clone
• Owner: imrehg
• License: other
• Created: 2012-09-06T03:58:44.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2012-09-06T04:02:35.000Z (about 12 years ago)
• Last Synced: 2024-04-08T17:42:28.199Z (8 months ago)
• Language: Python
• Size: 855 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.txt
  • License: LICENSE

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README

        

=====================================================

PyLibNIDAQmx - a Python wrapper to libnidaqmx library

=====================================================

:Authors:

  Pearu Peterson 

:Website:

  http://pylibnidaqmx.googlecode.com/

:License:

  New BSD License

History

=======

 * Project published on November 5, 2009.

Download

========

The latest release can be downloaded from pylibnidaqmx website.

The latest development code is available via SVN. To check it out,

run::

  svn checkout http://pylibnidaqmx.googlecode.com/svn/trunk/ pylibnidaqmx-svn

  cd pylibnidaqmx-svn

Installation

============

To use pylibnidaqmx, the following is required:

  * Python 2.5 or newer

  * numpy package

  * libnidaqmx library

To install pylibnidaqmx, unpack the archive file, change to the

pylibnidaqmx source directory ``PyLibNIDAQmx-?.?*`` (that contains

setup.py file and nidaqmx package), and run::

  python setup.py install

Basic usage

===========

The nidaqmx Python package provides the following classes:

AnalogInputTask, AnalogOutputTask, DigitalInputTask, DigitalOutputTask,

CounterInputTask, CounterOutputTask that can be used to create

NI-DAQ tasks and they have methods to create channels, setting

timing and triggering properties and reading and writing data.

Here follows an example how to generate voltage:

>>> from nidaqmx import AnalogOutputTask

>>> import numpy as np

>>> data = 9.95*np.sin(np.arange(1000, dtype=np.float64)*2*np.pi/1000)

>>> task = AnalogOutputTask()

>>> task.create_voltage_channel('Dev1/ao2', min_val=-10.0, max_val=10.0)

>>> task.configure_timing_sample_clock(rate = 1000.0)

>>> task.write(data)

>>> task.start()

>>> raw_input('Generating voltage continuously. Press Enter to interrupt..')

>>> task.stop()

>>> del task

and example how to measure and plot the voltage:

>>> from nidaqmx import AnalogInputTask

>>> import numpy as np

>>> task = AnalogInputTask()

>>> task.create_voltage_channel('Dev1/ai16', terminal = 'rse', min_val=-10.0, max_val=10.0)

>>> task.configure_timing_sample_clock(rate = 1000.0)

>>> task.start()

>>> data = task.read(2000, fill_mode='group_by_channel')

>>> del task

>>> from pylab import plot, show

>>> plot (data)

>>> show ()

If Dev1/ao2 and Dev1/ai16 are directly connected then you should see

two sine waves plotted to screen.

Additional documentation is available online in PyLibNIDAQmx website.

Help and bug reports

====================

You can report bugs at the pylibnidaqmx issue tracker:

  http://code.google.com/p/pylibnidaqmx/issues/list

Any comments and questions can be sent also to the authors.