Library to parse Nanonis files.
A small library written in python 3 to parse Nanonis binary and ascii files.
Nanonispy was made in needing to do a lot of analysis for scanning tunneling microscopy (STM) data, and thought this would be good practice in creating a proper python library. That being said it is in no way foolproof and if anybody else actually uses this please let me know if you run into issues.
Nanonispy can read Nanonis grid, scan, and point spectroscopy files. This means it will read the file header and parse that into a somewhat useful dictionary for later use, as well as read in the binary/ascii data in a relatively general way to accomadate data with multiple channels stored, or custom spectroscopy experiments.
Currently written and tested with
- python 3.6
- python 3.5
- python 3.4
dropping support for python 3.3 due to matplotlib no longer supporting it
For the most up-to-date version, install from github as pip and conda packages are not updated as frequently.
pip install nanonispy
conda install --channel https://conda.anaconda.org/underchemist nanonispy
Simply clone this repo and run
python setup.py install
Once installed, you should be able to import it to any python script or ipython session.
import nanonispy as nap
Then given a file,
grid = nap.read.Grid('/path/to/datafile.3ds')
You can look at the attributes and methods to determine the information available.
Similar to the install, except run
python setup.py test
. If you have the nose module installed, it’s as simple as
You can also see coverage of the tests as well as ignore the test discovery of numpy core packages (don’t quite understand why it does this) with
nosetests --with-coverage --cover-branches --cover-package=nanonispy
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|nanonispy-1.0.5-py3-none-any.whl (36.6 kB) Copy SHA256 hash SHA256||Wheel||py3||Dec 7, 2017|
|nanonispy-1.0.5.tar.gz (36.0 kB) Copy SHA256 hash SHA256||Source||None||Dec 7, 2017|