Skip to main content

DAQ control using National Instruments DAQmx framework

Project description

Purpose

To create a python API for working with National Instruments NIDAQmx.

Installation

  1. Download the wheel file
  2. On the command line, navigate to the repository
  3. Run python -m pip install <path-to-wheel-file>

Usage

You must first import the package:

from ni import NIDAQmxInstrument

You can then allocate the hardware without any further specifiers. Note that, if there is more than one DAQmx instrument available on your PC, the hardware allocated may not be the one you are expecting! Be sure to specify the device name, model number, or serial number to make the hardware acquisition process more deterministic.

daq = NIDAQmxInstrument()  # hardware with no specifiers

daq = NIDAQmxInstrument(device_name='Dev3')  # hardware specified by the device name

daq = NIDAQmxInstrument(model_number='USB-6001')  # hardware specified by model number

daq = NIDAQmxInstrument(serial_number=1234)  # hardware specified by serial number

Once you have the NIDAQmxInstrument instance, then you can use it to operate the instrument.

Some available methods:

# set port0/line2 to "high"
daq.digital_out_line(port_name='port0', line_name='line2', value=True)

# set port1/line1 to "low"
daq.digital_out_line(port_name='port1, line_name='line1', value=False)

# read the line and save its value to `value`
value = daq.digital_in_line(port_name='port1', line_name='line0')

# change the analog out voltage level
daq.analog_out(analog_output='ao1', voltage=1.2)

# sample the analog input
data = daq.sample_analog_in(analog_input='ai0',
                     sample_count=100, 
                     rate=1000.0)

# retrieves the fundamental frequency that is present
data = daq.sample_analog_in(analog_input='ai0',
                            sample_count=1000,
                            rate=1000)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Built Distribution

daqmx-0.3.0-py3-none-any.whl (6.7 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page