Skip to main content

Wrapper for querying VirtualFlyBrain servers.

Project description

VFB_connect test_vfb-connect publish-to-pypi PyPI version DOI

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.term('FBbt_00003686')

vfb.terms(['Ito02013'])

vfb.terms(['VFB_00010001'])

# Get all terms relevant to a brain region (all parts and all overlapping cells. You can query by label, symbol, synonym, id or xref.

vfb.get_terms_by_region('fan-shaped body')

TermInfo returns a pandas DataFrame by default but can also return a dict summary or full VFBTerms.

For more examples see our Quick Guide Jupyter Notebook

Project details


Release history Release notifications | RSS feed

This version

2.2.7

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-2.2.7.tar.gz (86.7 kB view details)

Uploaded Source

Built Distribution

vfb_connect-2.2.7-py3-none-any.whl (98.4 kB view details)

Uploaded Python 3

File details

Details for the file vfb_connect-2.2.7.tar.gz.

File metadata

  • Download URL: vfb_connect-2.2.7.tar.gz
  • Upload date:
  • Size: 86.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for vfb_connect-2.2.7.tar.gz
Algorithm Hash digest
SHA256 a6db4b566e6e9e73e50ab7ae442a169decc88982961b5808a16ded686dc484ba
MD5 fa89f258439a0d4527304b3449e64709
BLAKE2b-256 98c1bbccf35161ef54589dcc9d63c7ef2713e66c458dbb5243b6742cd9e66e04

See more details on using hashes here.

File details

Details for the file vfb_connect-2.2.7-py3-none-any.whl.

File metadata

  • Download URL: vfb_connect-2.2.7-py3-none-any.whl
  • Upload date:
  • Size: 98.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for vfb_connect-2.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 cc53b7521136fb10f72f6ae2503d5dbbd7cf4ca38b3f67c22882a9c4d53663b1
MD5 9e65973d4827e61076eae3225b4e05ae
BLAKE2b-256 f64c671e828a5efb309d615d7b7fe2e31828753c9a7a95e93303f65957b50d50

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