Scientific tool for fitting correlation curves on a logarithmic plot.
Project description
PyCorrFit can be used for fitting any data on a semi-log plot. The program focusses on Fluorescence Correlation Spectroscopy (FCS) and comes with a couple of features that are crucial for FCS data analysis:
Averaging of curves
Background correction
Batch processing
Overlay tool to identify outliers
Fast simulation of model parameter behavior
Session management
User-defined model functions
High quality plot export using LaTeX (bitmap or vector graphics)
For a full list of features and supported file formats visit http://pycorrfit.craban.de. There are also precompiled binaries for various systems.
This package provides the Python module pycorrfit and its graphical user interface. The graphical user interface is written with wxPython. A HowTo for the installation of the latest version of PyCorrFit using pip can be found there:
https://github.com/paulmueller/PyCorrFit/wiki/Installation_pip
Further reading:
Latest downloads: https://github.com/paulmueller/PyCorrFit/releases
Documentation: https://github.com/paulmueller/PyCorrFit/wiki/PyCorrFit_doc.pdf
Write model functions: https://github.com/paulmueller/PyCorrFit/wiki/Writing-model-functions
Need help? https://github.com/paulmueller/PyCorrFit/wiki/Creating-a-new-issue
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for pycorrfit-0.8.7-cp27-none-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6ec8e654540285e4f7c5bb5aa2ff8cf25a20b9b8eb61f166672f8432d7a3bad9 |
|
MD5 | 9b6aa31ee23a2fc2a96a03c092751f81 |
|
BLAKE2b-256 | 2aff6da95cc0fdd6fa356268147a4b2aadd5fba4e8b5d82f9b94a337e3152518 |