| Authors: | Pearu Peterson <pearu.peterson AT gmail DOT com> |
|---|---|
| Website: | http://pylibnidaqmx.googlecode.com/ |
| License: | New BSD License |
- Project published on November 5, 2009.
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
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
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 taskand 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.
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.