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-2.0.1.tar.gz (53.9 kB view details)

Uploaded Source

Built Distribution

vfb_connect-2.0.1-py3-none-any.whl (60.3 kB view details)

Uploaded Python 3

File details

Details for the file vfb_connect-2.0.1.tar.gz.

File metadata

  • Download URL: vfb_connect-2.0.1.tar.gz
  • Upload date:
  • Size: 53.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for vfb_connect-2.0.1.tar.gz
Algorithm Hash digest
SHA256 1ba09c0b4579bfe39734327a936e9d044939d9037aea2661022955e9a50f5701
MD5 77396ccd0a99ab0333408b7a27ec2fa3
BLAKE2b-256 0066187965936f8b4134a80203d386a885bebdf93f9fd720488c3e932ec3af01

See more details on using hashes here.

File details

Details for the file vfb_connect-2.0.1-py3-none-any.whl.

File metadata

  • Download URL: vfb_connect-2.0.1-py3-none-any.whl
  • Upload date:
  • Size: 60.3 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-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 076cf37ba7ac1123ce963d0b351e027348a0086b3227d4ceb27b58567638789f
MD5 20a2640c85a619c10fc876dcfa33db8a
BLAKE2b-256 a23828d434a909e47fb6ded1d3e2c6418a7dfb789bbe3509960c363f71e3d81d

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