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NC-AFM experiment data IO, DF/F convert, 3D visualization tool.

Project description

ForceSpectroscopyHelper-mcm

Introduction

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".

Installation

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".

Project details


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Source Distribution

ForceSpectroscopyHelperMCM-mcm-0.0.0.tar.gz (16.0 kB view hashes)

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