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pxi6733: allow usage of 2-dimensional arrays. close #66

This commit is contained in:
Yann Sionneau 2015-07-07 15:39:51 +02:00
parent 8a33d8c868
commit 706bf2b4b4
1 changed files with 10 additions and 5 deletions

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@ -63,9 +63,9 @@ class DAQmx:
The device will output samples at each clock rising edge.
The device waits for a clock rising edge to output the first sample.
When using several channels simultaneously, you must concatenate the
values for the different channels in the ``values`` array.
The sample values for the same channel must be grouped together.
When using several channels simultaneously, you can either concatenate
the values for the different channels in a 1-dimensional ``values``
numpy ndarray.
Example:
@ -76,16 +76,21 @@ class DAQmx:
channel and the two following samples will be output via the second
channel.
Or you can use a 2-dimensional numpy ndarray like this:
>>> values = np.array([[ch0_samp0, ch0_samp1],[ch1_samp0, ch1_samp1]],
dtype=float)
Any call to this method will cancel any previous task even if it has
not yet completed.
:param sampling_freq: The sampling frequency in samples per second.
:param values: A numpy array of sample values (in volts) to load in
:param values: A numpy ndarray of sample values (in volts) to load in
the device.
"""
self.clear_pending_task()
values = values.flatten()
t = self.daq.Task()
t.CreateAOVoltageChan(self.channels, b"",
min(values), max(values),