VFB_connect 
VFB_connect is a Python lib that wraps data/knowledgeBase query endpoints and returns VFB_json.
Available on PyPi:
pip install vfb_connect
Some examples:
from vfb_connect.cross_server_tools import VfbConnect
# VFB connect object wraps connections and queries to public VFB servers.
vc=VfbConnect()
# Get TermInfo for Types/Classes, DataSets and anatomical individuals.
vc.neo_query_wrapper.get_type_TermInfo(['FBbt_00003686'])
vc.neo_query_wrapper.get_DataSet_TermInfo(['Ito02013'])
vc.neo_query_wrapper.get_anatomical_individual_TermInfo(['VFB_00010001'])
# Get all terms relevant to a brain region (all parts and all overlapping cells. Query by label supported by default.
vc.get_terms_by_region('fan-shaped body')
TermInfo return values conform to VFB_json_schema
For more examples see our Quick Guide Jupyter Notebook
Metadata
Release files for vfb-connect 1.2.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| vfb_connect-1.2.15.tar.gz | 34.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vfb_connect-1.2.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 74.6 kB
Release files / vfb_connect-1.2.15.tar.gz
| Download URL | vfb_connect-1.2.15.tar.gz |
|---|---|
| Size | 34.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.11.8
|
Release files / vfb_connect-1.2.15-py3-none-any.whl
| Download URL | vfb_connect-1.2.15-py3-none-any.whl |
|---|---|
| Size | 39.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.8
|
Security for vfb-connect 1.2.15
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