NC-AFM experiment data IO, DF/F convert, 3D visualization tool.
Monte Carlo Method for NC-AFM force spectroscopy data analyzation.
It uses pymc3 to sampling the result. The sampling result will be saved as an original format written in "bayesData.py".
this package is developed in the environment of python 3.6:
The easiest way: download "conda_packages.yml", create a new conda environment and install the list up packages in "conda_packages.yml" by following command:
conda env create python=3.6 -n [Your Environment Name] -f conda_packages.yml
conda activate [Your Environment Name]
pip install pymc3==3.8
(Not Recommended) Or your can try to install pymc3 (version 3.8) by official instruction.
Then install the following package on pip:
pip install ForceSpectroscopyHelper-mcm
pip install errandpy
Example For Startup
A Si force curve analysis demo is written in "examples/startup.py".
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for ForceSpectroscopyHelperMCM-mcm-0.0.0.tar.gz