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biocode_fims

A Python client for accessing data from the Biocode FIMS database.

0.2.4
PyPI
Maintainers
1

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

.. image:: https://img.shields.io/pypi/v/biocode_fims.svg :target: https://pypi.python.org/pypi/biocode_fims

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.. image:: https://readthedocs.org/projects/biocode-fims/badge/?version=latest :target: https://biocode-fims.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status

.. image:: https://pyup.io/repos/github/MikeTrizna/biocode_fims/shield.svg :target: https://pyup.io/repos/github/MikeTrizna/biocode_fims/ :alt: Updates

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

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.

Keywords

biocode_fims

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