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Description:

pydaq 0.0.4

PYDAQ - Data Acquisition and Experimental Analysis with Python

Using Python for applications with experimental data (Arduino and NIDAQ boards)
This package was firstly designed to use experimental device for data
acquisition and signal generator, when performing different experiment,
such as a step-response test.
Despite this, one can use PYDAQ to acquire and send a signal from
any system, using different boards (check jupyter notebook examples folder),
through a Graphical User Interface or via command line. In this sense
the user is capable to generate a customized signal which can be easily
applied to a system.
It is noteworthy that this application makes data acquisition and
empirical experiments simpler, faster and easier. This is relevant
when the user needs empirical data to construct black box linear and
nonlinear models, commomly used in research projects in forecasting and
model-based control schemes.
The code provided here allows user to save acquired data in .dat files in
a path specified by the user (or at Desktop, if no path is provided), as well
as send a user-defined data, which can be any nonlinear input signal
(you are strongly advised to check the )
In what follows you will find

Installation and Requirements
Quick view and Main features
Using Graphical User Interface
Screenshots

Installation and Requirements
The fastest way to install PYDAQ is using pip:
pip install pydaq

NOTE: In this version of pydaq (0.0.3), (NI-DAQmx drivers) must be installed, even if
the user is only using Arduino Boards. This issue will be addressed in future versions, allowing
Arduino users to use PYDAQ without having to install NI-DAQmx drivers.
PYDAQ requires:

Installed driver of the board used (Arduino or National Instruments NIDAQ)
nidaqmx (>=0.6.5) for data acquisition from National Instruments Boards
matplotlib (>=3.5.3) as a visualization tool
numpy (>=1.22.3) to process data
PySide6 (>=6.7.1), PySide6_Addons, PySide6_Essentials and shiboken6 as a Graphical User Interface framework
pyserial (>=3.5) to manage data to/from Arduino

Quick view and Main features

Feature
Description

Send Data (NIDAQ)
This feature allows the user to send data through any NIDAQ board using a graphical user interface

Send Data (Arduino)
This feature allows the user to send data through any Arduino board through a graphical user interface

Get Data (NIDAQ)
Here the user is able to get data from a NIDAQ board, using any terminal configuration (Diff, RSE, NRSE), sample time and other parameters. Acquired data can also be saved and plot for further applications

Get Data (Arduino)
Here the user is able to get data from an Arduino board, using several options. Acquired data can also be saved and plot for further applications

Step Response (NIDAQ)
In this feature one can perform an automatic step response experiment using a NIDAQ board. Data genereted by the experiment can also be saved to be used in further applications, such as obtaining linear and nonlinear models from acquired data

Step Response (Arduino)
In this feature one can perform an automatic step response experiment using an Arduino. Data genereted by the experiment can also be saved to be used in further applications, such as obtaining linear and nonlinear models from acquired data

Using GUI (more details in documentation and jupyter notebook examples):
In the latest version, all functionalities for all boards are incorporated in one single window.
Launching the GUI:
from pydaq.pydaq_global import PydaqGui

PydaqGui()

Screnshots (v0.0.4)
Graphical User Interfaces - NIDAQ

Graphical User Interfaces - Arduino

Acquired/Sending data and step response - NIDAQ and Arduino

Data in .dat format

Contributing
You are more than welcome to make your contribution and submit a pull request. To contribute, read this guide.

CITATION

If you are using PYDAQ on your project, you can cite us as following:

Martins, S. A. M. (2023). PYDAQ: Data Acquisition and Experimental Analysis with Python. Journal of Open Source Software, 8(92), 5662. https://doi.org/10.21105/joss.05662

@article{Martins_PYDAQ_Data_Acquisition_2023,
author = {Martins, Samir Angelo Milani},
doi = {10.21105/joss.05662},
journal = {Journal of Open Source Software},
month = dec,
number = {92},
pages = {5662},
title = {{PYDAQ: Data Acquisition and Experimental Analysis with Python}},
url = {https://joss.theoj.org/papers/10.21105/joss.05662},
volume = {8},
year = {2023}
}