This data visualization tool is a GUI app for Nanonis .sxm
file. It is compatible with Python 3.6+. The GUI is based on PyQt5 and PyQtGraph.
Compare to the native LabView app from Nanonis, this tool is a lot faster and can be used in varies OS due to the cross-platform feature of PyQt.
- Load and visualize data from
.sxm
and.npy
file.- For
.sxm
, it can extract all the available channels in the file. - For
.npy
, the data type shoud be a 2D (rank-2) numpy array.
- For
- Subtract a 2D fitted plane from the original image.
- The default setup includes more than 60 colormaps from matplotlib.
- Adjust color range, export image and raw data by right-clicking on the image.
To start application, run:
python3 app.py
Make sure that you have installed the dependencies.
pip install -r requirements.txt