Metadata-Version: 1.1
Name: pycomlink
Version: 0.0.4a
Summary: Python tools for MW link data processing
Home-page: https://bitbucket.org/cchwala/pycomlink
Author: Christian Chwala
Author-email: christian.chwala@kit.edu
License: BSD
Description: pycomlink
        =========
        
        A python toolbox for MW link data processing and rain rate estimation
        
        Installation
        ------------
        
        `pycomlink` works with Python 2.7 and depends on `numpy`, `pandas`, `matplotlib` and `matplotlib`'s `basemap`. You can install it via pip:
        
            $ pip install pycomlink
        
        Usage
        -----
        
        Here is an IPython notebook showing the [basic workflow](http://nbviewer.ipython.org/urls/bitbucket.org/cchwala/pycomlink/raw/566962d7c0a16c484d56aec7a0a34b84cc68a27d/notebooks/example_workflow.ipynb)
        
        Status
        ------
        The basic functionality is already working. However, `pycomlink` is currently in ongoing development. Hence, there may be changes to the interface in the future.
        
        Features
        --------
         * Easily parse your MW link data and use and object oriented approach to do all the processing
         * Two wet/dry classification methods available
         * Different baseline methods available
         * One wet antenna estimation method available
         * 2D plots using IDW (preliminary version) 
        
        
        
Keywords: microwave links precipitation radar
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2.7
