Skip to main content

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

Project description

Biocode FIMS

https://img.shields.io/pypi/v/biocode_fims.svg https://img.shields.io/travis/MikeTrizna/biocode_fims.svg Documentation Status Updates

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

Installation

pip install biocode_fims

Basic Usage

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

>>> 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).

>>> 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”.

>>> 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.

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

biocode_fims-0.2.0.tar.gz (14.3 kB view details)

Uploaded Source

Built Distribution

biocode_fims-0.2.0-py2.py3-none-any.whl (6.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file biocode_fims-0.2.0.tar.gz.

File metadata

File hashes

Hashes for biocode_fims-0.2.0.tar.gz
Algorithm Hash digest
SHA256 32ed76f57d6f7d5a70ad10fdfcfe8bb44d2f62e7e99fb5dbc15a6d5fff90ba3a
MD5 92d5389fc74ead58b2fcb93e14eac944
BLAKE2b-256 f4ed46300ea08bec211b0bd17c5e6824452e7124ab78cc37f468b752193fa7f4

See more details on using hashes here.

File details

Details for the file biocode_fims-0.2.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for biocode_fims-0.2.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 dc3d44280199ed777b41589f82898eb7f89c388f34987cd274e0a6795e5228f0
MD5 b9079b3f9cf5b7534aca997bb6e6fd4d
BLAKE2b-256 32fd2b9a56d9835611517e27a7870f0cf706907a67b28fa50049c2c3a3e2ad29

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page