def __init__(self, name='Dev1', *args, **kwargs):
self._daq = ni.NIDAQ(name)
super(NIDAQ, self).__init__(None, "NIDAQ", includeSCPI=False, **kwargs)
for chan in self._daq.get_AI_channels():
self.add_property(chan)
for chan in self._daq.get_AO_channels():
self.add_property(chan, set=True)
def __init__(self,
zero=False,
dev_name='Dev1',
input_range=10,
output_range=10):
self._daq = ni.NIDAQ(dev_name, input_range, output_range)
self._dev_name = dev_name
self._input_range = input_range
self._output_range = output_range
self.setup_inputs()
self.setup_outputs()
if zero:
self.zero()
def __init__(self,
zero=False,
dev_name='Dev1',
input_range=10,
output_range=10):
self._daq = ni.NIDAQ(dev_name, input_range, output_range)
self._dev_name = dev_name
self._input_range = input_range
self._output_range = output_range
self._ins = self._daq.get_AI_channels()
self._outs = self._daq.get_AO_channels()
for chan in self._ins:
setattr(self, chan, InputChannel(self._daq, name=chan))
for chan in self._outs:
setattr(self, chan, OutputChannel(self._daq, name=chan))
if zero:
self.zero()