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    "info": {
        "author": "Philipp A.",
        "author_email": "flying-sheep@web.de",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Programming Language :: Python :: 3",
            "Programming Language :: R",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
        ],
        "description": "|travis|\n\n.. |travis| image:: https://travis-ci.org/flying-sheep/anndata2ri.svg?branch=master\n   :target: https://travis-ci.org/flying-sheep/anndata2ri\n\nAnnData \u21ad SingleCellExperiment\n==============================\n\nRPy2 converter from AnnData_ to SingleCellExperiment_ and back.\n\nYou can for example use it to process your data using both Scanpy_ and Seurat_, as described in this `example notebook`_\n\n.. _AnnData: https://anndata.readthedocs.io/en/latest/\n.. _SingleCellExperiment: http://bioconductor.org/packages/release/bioc/vignettes/SingleCellExperiment/inst/doc/intro.html\n.. _Scanpy: https://scanpy.readthedocs.io/en/stable/\n.. _Seurat: https://satijalab.org/seurat/\n.. _`example notebook`: https://github.com/LuckyMD/Code_snippets/blob/master/Seurat_to_anndata.ipynb\n\nInstallation\n------------\n\nInstall it directly from GitHub via ``pip`` (version 19.0 or higher).\n\n.. code-block:: bash\n\n   pip install git+https://github.com/flying-sheep/anndata2ri.git\n\nYou can install a locally checked out version with ``pip`` or ``flit``:\n\n.. code-block:: bash\n\n   cd anndata2ri\n   pip install .\n   # or\n   flit install\n\nUsage from Python\n-----------------\n\nEither use the converter manually \u2026\n\n.. code-block:: python\n\n   import anndata2ri\n   from rpy2.robjects import r\n   from rpy2.robjects.conversion import localconverter\n\n   with localconverter(anndata2ri.create_converter()):\n       adata = r('as(some_data, \"SingleCellExperiment\")')\n\n\u2026 or activate it globally:\n\n.. code-block:: python\n\n   import anndata2ri\n   from rpy2.robjects import r\n   anndata2ri.activate()\n\n   adata = r('as(some_data, \"SingleCellExperiment\")')\n\nUsage from IPython\n------------------\nActivate the conversion before you load the extension:\n\n.. code-block:: python\n\n   import anndata2ri\n   anndata2ri.activate()\n   %load_ext rpy2.ipython\n\nNow you can move objects from Python to R \u2026\n\n.. code-block:: python\n\n   import scanpy.datasets as scd\n   adata_paul = scd.paul15()\n\n.. code-block:: r\n\n   %%R -i adata_paul\n   adata_paul  # class: SingleCellExperiment ...\n\n\u2026 and back:\n\n.. code-block:: r\n\n   %%R -o adata_allen\n   data(allen, package = 'scRNAseq')\n   adata_allen <- as(allen, 'SingleCellExperiment')\n\n.. code-block:: python\n\n   print(adata_allen)  # AnnData object with ...\n",
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        "name": "anndata2ri",
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