Metadata-Version: 1.1
Name: icn3dpy
Version: 0.1.9
Summary: An IPython interface for embedding iCn3D viewer
Home-page: https://github.com/ncbi/icn3d
Author: Jiyao Wang
Author-email: wangjiy@ncbi.lm.nih.gov
License: MIT License
Description: icn3dpy
        =======
        
        A simple [IPython/Jupyter](http://jupyter.org/) widget to
        embed an interactive [iCn3D](https://github.com/ncbi/icn3d) viewer in a notebook.
        
        The widget is completely static, which means the viewer doesn't need a running
        IPython kernel to be useful and web pages and presentations generated from
        the notebook will work as expected.  However, this also means there is only
        one-way communication between the notebook and the viewer.
        
        If you experience problems, please file 
        an [issue](https://github.com/ncbi/icn3d/issues).
        
        
        Installation
        ------------
        
        From PyPI:
        
            pip install icn3dpy
        
        
        *Important:* In order to use with JupyterLab you must install the JupyterLab extension:
        
            jupyter labextension install jupyterlab_3dmol
        
        
        
        Usage
        -----
        
        Open a notebook
        
            jupyter notebook
        
        and issue
        
        Python
        
            import icn3dpy
        
            view = icn3dpy.view(q='mmdbid=1tup',command='color spectrum')
        
            view
        
            view = icn3dpy.view(q='mmdbid=6m0j',para='closepopup=1',command='line graph interaction pairs | !A !E | hbonds,salt bridge,interactions,halogen,pi-cation,pi-stacking | false | threshold 3.8 6 4 3.8 6 6; show selection; add residue number labels')
        
            view
        
        Command
        -------
        
        All [iCn3D commands](https://www.ncbi.nlm.nih.gov/Structure/icn3d/icn3d.html#commands) work.
        
        
        License
        -------
        
        United States Government Work
        
Keywords: WebGL-based protein structure viewer
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
