Skip to main content

Wrapper for querying VirtualFlyBrain servers.

Project description

VFB_connect test_vfb-connect publish-to-pypi PyPI version

test_notebooks Documentation Status

VFB_connect is a Python lib that wraps data/knowledgeBase query endpoints and returns DataFrame tables.

Available on PyPi:

pip install vfb_connect

Some examples:

# VFB connect object wraps connections and queries to public VFB servers.

from vfb_connect import vfb

# Get TermInfo for Types/Classes, DataSets and anatomical individuals.

vfb.get_TermInfo(['FBbt_00003686'])

vfb.get_TermInfo(['Ito02013'])

vfb.get_TermInfo(['VFB_00010001'])

# Get all terms relevant to a brain region (all parts and all overlapping cells.  Query by label supported by default.

vfb.get_terms_by_region('fan-shaped body')

TermInfo return a pandas DataFrame by default but can also return a dict summary or full VFB_json values that conform to VFB_json_schema

For more examples see our Quick Guide Jupyter Notebook

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

vfb_connect-2.1.5.tar.gz (65.1 kB view details)

Uploaded Source

Built Distribution

vfb_connect-2.1.5-py3-none-any.whl (71.5 kB view details)

Uploaded Python 3

File details

Details for the file vfb_connect-2.1.5.tar.gz.

File metadata

  • Download URL: vfb_connect-2.1.5.tar.gz
  • Upload date:
  • Size: 65.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for vfb_connect-2.1.5.tar.gz
Algorithm Hash digest
SHA256 5a088a1e8249c664489ce7f06315c58ee1626e7e2d293bc1b39433a209513c11
MD5 862221b4472e6a310e160a505d216e85
BLAKE2b-256 9a923af3a4ca856bcc86e972a12edcb6998bc6010c1c3884665bfbe8f9afc378

See more details on using hashes here.

File details

Details for the file vfb_connect-2.1.5-py3-none-any.whl.

File metadata

  • Download URL: vfb_connect-2.1.5-py3-none-any.whl
  • Upload date:
  • Size: 71.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for vfb_connect-2.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 36cc9492ac183a11d90c8ff1a4d6253e21b7d19a85f54382e03088d506c43c94
MD5 f45fe9fa807ba486c8b859a267b3169f
BLAKE2b-256 aa1513d720296991db563dc77635c574f4c88b97e8cb24c888b0c732b8cd0d12

See more details on using hashes here.

Supported by

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