Python code for data acquisition using National Instruments DAQs and the nidaqmx API
Apps that let you visualize and record analog input from National Instruments devices. They are based on PyQT5 and PyQtGraph.
To use the recording and analysis apps in this repository, you must install the following Python packages:
- nidaqmx - For National Instruments DAQ device access.
- numpy
- scipy
- pyqt5
- pyqtgraph
- matplotlib
- pandas
- pyarrow
- tkinter
Quick install with pip: pip install numpy scipy pyqt5 pyqtgraph matplotlib pandas pyarrow nidaqmx
Note: You must have NI-DAQmx drivers installed on your system (from National Instruments).
- Windows OS (required for NI-DAQmx hardware)
- NI-DAQmx drivers installed (from National Instruments)
- Python 3.8+ (Anaconda recommended)
- A supported National Instruments DAQ device
Install all required libraries and drivers. Make sure your DAQ device is connected and recognized by NI MAX. If you encounter issues with NI-DAQmx, refer to NI's official documentation.
Acquire analog input on a various number of channels.
Execute in your fav IDE or simply use your command line/Anaconda prompt like so:
python "Path\to\gui_program.py"
Record files with optional file splitting (e.g., for large files) in a .bin file and metadata in a .txt logfile.
Tkinter app for visualization of recordings. Reads in metadata from the logfile.
The first generation of apps was based on TKinter and inspired by example code by DavidFI. These apps can be found in the Tkinter folder - however, they are deprecated and will not be developed anymore.