Socket
Socket
Sign inDemoInstall

biocode_fims

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

biocode_fims

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


Maintainers
1

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

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

.. image:: https://img.shields.io/travis/MikeTrizna/biocode_fims.svg :target: https://travis-ci.org/MikeTrizna/biocode_fims

.. 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

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc