semvec/pypi-packages huggingface dataset:
biocode_fims 0.2.4
A Python client for accessing data from the Biocode FIMS database.
License: MIT license
Keywords: biocode_fims

============
Biocode FIMS
============


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A Python client for accessing data from the `Biocode FIMS <http://www.biscicol.org/>`_ database.


* Free software: MIT license
* Documentation: https://biocode-fims.readthedocs.io.


Installation
------------

.. code-block:: python

	pip install biocode_fims

Basic Usage
-----------

Returning a list of all *public* Projects in the Biocode FIMS.

.. code-block:: python

	>>> import biocode_fims
	>>> all_projects = biocode_fims.list_projects()
	>>> print(all_projects)
	{
	  "Barcode of Wildlife Nigeria": 10,
	  "Amphibian Disease": 26,
	  "SI Barcoding CBOL": 12,
	  "Hawaii Dimensions": 3,
	  "University and Jepson Herbaria": 22,
	  "Barcode of Wildlife Nepal": 23,
	  "Barcode of Wildlife Kenya": 8,
	  "New York Botanical Garden": 28,
	  "Barcode of Wildlife Proficiency Testing": 24,
	  "Barcode of Wildlife Mexico": 9,
	  "Barcode of Wildlife South Africa": 11,
	  "Barcode of Wildlife Training": 5
	}

Return the first 4 datasets in the "SI Barcoding CBOL" project (project id: 12).

.. code-block:: python

	>>> import biocode_fims
	>>> all_sibn_datasets = biocode_fims.list_datasets(12)
	>>> print(all_sibn_datasets[:4])
	['Brazil_Ants_A', 'Brazil_Ants_B', 'Brazil_Ants_C', 'Brazil_Ants_D']

Grab the contents of the dataset "DJBirds_P01".

.. code-block:: python

	>>> import biocode_fims
	>>> contents = biocode_fims.dataset_contents(12,['DJBirds_P01'])
	>>> print(len(contents))
	83

To do something useful with the dataset contents, it's best of load them into a Pandas DataFrame.

TODO
----

* Get testing implemented correctly
* Expand to API endpoints behind OAuth

Credits
---------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage



=======
History
=======

0.2.0 (2017-06-29)
------------------

* Changed dataset_contents function to filter out empty fields by default
* Got documentation running on RTD, and continuous integration running on TravisCI

0.1.0 (2017-06-21)
------------------

* Initial release on PyPI.