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PyLibNIDAQmx provides a Python package nidaqmx that wraps the NI-DAQmx driver software for Python using ctypes.

The package is tested with NI-DAQwx library version 8.0 using [PCI-6602](http://sine.ni.com/nips/cds/view/p/lang/en/nid/1123 PCI-6602) and PCIe-6259 cards on openSUSE 11.0 Linux.

Basic usage

The nidaqmx Python package provides the following classes:

AnalogInputTask, DigitalInputTask, DigitalOutputTask, CounterInputTask, CounterOutputTask.

These classes expose NI-DAQ tasks to Python environment. The task instances provide methods to create channels, setting timing and triggering properties and reading and writing data.

See also PyLibNIDAQmx Documentation.

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, auto_start=False)
>>> 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.

For more examples, follow the link in Issue 4 (thanks to Chris Lee-Messer).