Data Acquisition with NIDAQ Boards

NOTE: before working with PYDAQ, device driver should be installed and working correctly as a DAQ (Data Acquisition) device

Data Acquitition using Graphical User Interface (GUI)

Using GUI to acquire data is really straighforward and require only three LOC (lines of code):

from pydaq.get_data import Get_data

# Class Get_data
g = Get_data()

# Method get_data_nidaq
g.get_data_nidaq_gui()

After this command, the following screen will show up, where the user is able to define parameters and start to acquire data.

The user is now able to select desired device, channel, terminal configuration (Differential, RSE and NRSE), sample period and session duration. Also, the user will define if the data will or not be plotted and saved, as well as the path to save data.

Data Acquitition using command line

It will be presented how to use Get_data (and get_data_nidaq) to acquire signal using a National Instruments board.

Firstly, import library and define parameters:

# Importing PYDAQ
from pydaq.get_data import Get_data

# Defining parameters
device_name = "Dev1"
channel_used = "ai0"
terminal_configuration = 'Diff'
sample_period_in_seconds = 1
session_duration_in_seconds = 10.0
save_data = True
will_plot = True

Then, instantiate a class with defined parametes and get the data

# Class Get_data
g = Get_data(device=device_name, 
             channel=channel_used, 
             terminal=terminal_configuration, 
             ts = sample_period_in_seconds, 
             session_duration=session_duration_in_seconds, 
             save=save_data, 
             plot=will_plot)

# Method get_data_nidaq
g.get_data_nidaq()

NOTE: data will be saved on desktop, by default. To change the path the user can define "g.path = Desired path"

Presenting acquired data

To show acquired data, type:

print(f'First 10 values of time: \n {g.time_var[0:10]}')
print(f'\nFirst 10 values of data: \n {g.data[0:10]}')

If you choose to plot you can see acquired data on screen, i.e:

Data will also be saved as depicted below: