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        "author": "Mike Trizna",
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            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
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        "description": "============\nBiocode FIMS\n============\n\n\n.. image:: https://img.shields.io/pypi/v/biocode_fims.svg\n        :target: https://pypi.python.org/pypi/biocode_fims\n\n.. image:: https://img.shields.io/travis/MikeTrizna/biocode_fims.svg\n        :target: https://travis-ci.org/MikeTrizna/biocode_fims\n\n.. image:: https://readthedocs.org/projects/biocode-fims/badge/?version=latest\n        :target: https://biocode-fims.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://pyup.io/repos/github/MikeTrizna/biocode_fims/shield.svg\n     :target: https://pyup.io/repos/github/MikeTrizna/biocode_fims/\n     :alt: Updates\n\n\nA Python client for accessing data from the `Biocode FIMS <http://www.biscicol.org/>`_ database.\n\n\n* Free software: MIT license\n* Documentation: https://biocode-fims.readthedocs.io.\n\n\nInstallation\n------------\n\n.. code-block:: python\n\n\tpip install biocode_fims\n\nBasic Usage\n-----------\n\nReturning a list of all *public* Projects in the Biocode FIMS.\n\n.. code-block:: python\n\n\t>>> import biocode_fims\n\t>>> all_projects = biocode_fims.list_projects()\n\t>>> print(all_projects)\n\t{\n\t  \"Barcode of Wildlife Nigeria\": 10,\n\t  \"Amphibian Disease\": 26,\n\t  \"SI Barcoding CBOL\": 12,\n\t  \"Hawaii Dimensions\": 3,\n\t  \"University and Jepson Herbaria\": 22,\n\t  \"Barcode of Wildlife Nepal\": 23,\n\t  \"Barcode of Wildlife Kenya\": 8,\n\t  \"New York Botanical Garden\": 28,\n\t  \"Barcode of Wildlife Proficiency Testing\": 24,\n\t  \"Barcode of Wildlife Mexico\": 9,\n\t  \"Barcode of Wildlife South Africa\": 11,\n\t  \"Barcode of Wildlife Training\": 5\n\t}\n\nReturn the first 4 datasets in the \"SI Barcoding CBOL\" project (project id: 12).\n\n.. code-block:: python\n\n\t>>> import biocode_fims\n\t>>> all_sibn_datasets = biocode_fims.list_datasets(12)\n\t>>> print(all_sibn_datasets[:4])\n\t['Brazil_Ants_A', 'Brazil_Ants_B', 'Brazil_Ants_C', 'Brazil_Ants_D']\n\nGrab the contents of the dataset \"DJBirds_P01\".\n\n.. code-block:: python\n\n\t>>> import biocode_fims\n\t>>> contents = biocode_fims.dataset_contents(12,['DJBirds_P01'])\n\t>>> print(len(contents))\n\t83\n\nTo do something useful with the dataset contents, it's best of load them into a Pandas DataFrame.\n\nTODO\n----\n\n* Get testing implemented correctly\n* Expand to API endpoints behind OAuth\n\nCredits\n---------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n\n=======\nHistory\n=======\n\n0.2.0 (2017-06-29)\n------------------\n\n* Changed dataset_contents function to filter out empty fields by default\n* Got documentation running on RTD, and continuous integration running on TravisCI\n\n0.1.0 (2017-06-21)\n------------------\n\n* Initial release on PyPI.\n\n\n",
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