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        "author": "Alex Thompson",
        "author_email": "godfoder@acis.ufl.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "idigbio-python-client\n=====================\n\n.. image:: https://img.shields.io/pypi/v/idigbio.svg\n    :target: https://pypi.python.org/pypi/idigbio\n\n.. image:: https://img.shields.io/travis/iDigBio/idigbio-python-client.svg\n        :target: https://travis-ci.org/iDigBio/idigbio-python-client\n\nA python client for the `iDigBio <https://www.idigbio.org/>`_ iDigBio v2 API.\n\nInstallation\n------------\n\n.. code-block::\n\n    pip install idigbio\n\nIf you want to use the Pandas Data Frame interface you need to install\npandas as well.\n\n.. code-block::\n\n    pip install idigbio pandas\n\nIf you see InsecurePlatformWarning or have other SSL certificate verification issues, you may \nwish to install urllib3 with the secure extra.\n\n.. code-block::\n\n    pip install urllib3[secure]\n\n\nBasic Usage\n-----------\n\nReturning JSON from the API.\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    json_output = api.search_records()\n\nReturning a Pandas Data Frame.\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.pandas()\n    pandas_output = api.search_records()\n\nSee the `Search API docs\n<https://github.com/idigbio/idigbio-search-api/wiki>`_ for info about\nthe endpoint parameters.\n\n\nExamples\n++++++++\n\nView a Record By UUID\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    record = api.view(\"records\",\"1db58713-1c7f-4838-802d-be784e444c4a\")\n\nSearch for a Record by scientific name\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    record_list = api.search_records(rq={\"scientificname\": \"puma concolor\"})\n\nSearch for Records that have images\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    record_list = api.search_records(rq={\"scientificname\": \"puma concolor\", \"hasImage\": True})\n\nSearch for a MediaRecords by record property\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    mediarecord_list = api.search_media(rq={\"scientificname\": \"puma concolor\", \"hasImage\": True})\n\nCreate a heat map for a genus\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    m = api.create_map(rq={\"genus\": \"acer\"}, t=\"geohash\")\n    m.save_map_image(\"acer_map_geohash\", 2)\n\nCreate a point map for a genus\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    m = api.create_map(rq={\"genus\": \"acer\"}, t=\"points\")\n    m.save_map_image(\"acer_map_points\", 2)\n\nCreate a zoomed in point map for a bounding box\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    bbox = {\"type\": \"geo_bounding_box\", \"bottom_right\": {\"lat\": 29.642979999999998, \"lon\": -82.00}, \"top_left\": {\"lat\": 29.66298, \"lon\": -82.35315800000001}}\n    m = api.create_map(\n        rq={\"geopoint\": bbox}\n    )\n    m.save_map_image(\"test.png\", None, bbox=bbox)\n\n\nCreate a summary of kingdom and phylum data\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    summary_data = api.top_records(fields=[\"kingdom\", \"phylum\"])\n\nGet the number of Records for a search by scientific name\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    count = api.count_records(rq={\"scientificname\": \"puma concolor\"})\n\nGet the number of MediaRecords for a search by scientific name\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    count = api.count_media(rq={\"scientificname\": \"puma concolor\"})\n\nGet the histogram of Collection Dates for a search by record property, for the last 10 years\n\n.. code-block:: python\n\n    import idigbio\n    api = idigbio.json()\n    histogram_data = api.datehist(\n        rq={\"scientificname\": \"puma concolor\"},\n        top_fields=[\"institutioncode\"], min_date=\"2005-01-01\")\n\nDevelopment\n+++++++++++\n\nTo contribute code to this project, please submit a pull request to the repo on github:\n\nhttps://github.com/idigbio/idigbio-python-client/\n\nTo set up a development environment, run the following from inside a python virtual environment\nin your local repo directory:\n\n.. code-block::\n\n    pip install -e .\n\n\n\n.. :changelog:\n\nRelease History\n---------------\n\n0.8.5 (2018-03-16)\n++++++++++++++++++\n\n**New**\n\n- add debug command-line option\n\n0.8.4 (2017-06-07)\n++++++++++++++++++\n\n**New**\n\n- add full-featured example script fetch_media.py to download media from iDigBio\n- add documentation for fetch_media\n\n**Changes**\n\n- remove fetch_media_based_on_query.py which is superceded by fetch_media.py\n\n0.8.3.3 (2017-05-17)\n++++++++++++++++++++\n\n**New**\n\n- add an example to examples directory to download media based on search query\n\n**Changes**\n\n- minor changes to documentation, unit tests\n- remove hard-coded path to tmp directory\n\n0.8.2 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