Metadata-Version: 1.0
Name: pycorn
Version: 0.14
Summary: A script to extract data from UNICORN result (res) files
Home-page: https://github.com/pyahmed/PyCORN
Author: Yasar L. Ahmed
Author-email: UNKNOWN
License: GNU General Public License v2 (GPLv2)
Description: ======
        PyCORN
        ======
        
        A script to extract data from UNICORN result (.res) files and plot them.
        
        .. image:: https://raw.githubusercontent.com/pyahmed/PyCORN/master/samples/sample1_2009Jun16no001_plot.jpg
        
        A script extract data from .res (results) files generated by UNICORN Chromatography software supplied with AKTA Systems. This script will find all data blocks, extract the data and write out csv-files. If you have matplotlib installed it will also plot all the curves including fractions if present. Plots can be saved in any format supported by matplotlib (default is pdf). Alternatively you may import pycorn into your script and access the data inside res-files.
        
        ----
        
        News
        ----
        v0.14 released:
        
        - Inject mark is also plotted
        - xlsx output added (requires xlsxwriter)
        - Fixed par1-error when selecting None
        - Fixed par1/2-error when selecting data blocks with longer data name
        - Minor changes & fixes
        
        
        Installation
        ------------
        - pip install pycorn
        
        
        Known issues
        ------------
        - See https://github.com/pyahmed/PyCORN/issues
        
        
        Requirements
        ------------
        - Python 2.7 or 3.x (Tested on Linux / Windows 7 / Mac OSX) 
        - optional: matplotlib (for plotting)
        - optional: xlsxwriter (for xlsx-output)
        
        Usage
        -----
        - See pycorn/docs/USAGE_pycorn-bin.txt if you want to extract/plot data directly
        - See pycorn/docs/USAGE_pycorn_module.txt if you want to import it into your script
        
        
        License
        -------
        - GPLv2 see docs/LICENSE.txt
Platform: Linux
Platform: Windows
Platform: MacOSX
