Wrapper for querying VirtualFlyBrain servers.
Project description
VFB_connect
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 hashes)
Built Distribution
Close
Hashes for vfb_connect-2.1.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 36cc9492ac183a11d90c8ff1a4d6253e21b7d19a85f54382e03088d506c43c94 |
|
MD5 | f45fe9fa807ba486c8b859a267b3169f |
|
BLAKE2b-256 | aa1513d720296991db563dc77635c574f4c88b97e8cb24c888b0c732b8cd0d12 |